From 795d2f895e306246703e5efa7fd8ad04aba8cb92 Mon Sep 17 00:00:00 2001
From: mioupa <mioupa.org@gmail.com>
Date: Wed, 7 Oct 2026 17:22:49 +0900
Subject: [PATCH 01/37] Add requirements document and Pages config

docs/REQUIREMENTS.md: requirements for the refactor and feature work.
_config.yml: exclude development docs from GitHub Pages.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---
 _config.yml          |   5 +
 docs/REQUIREMENTS.md | 244 +++++++++++++++++++++++++++++++++++++++++++
 2 files changed, 249 insertions(+)
 create mode 100644 _config.yml
 create mode 100644 docs/REQUIREMENTS.md

diff --git a/_config.yml b/_config.yml
new file mode 100644
index 0000000..30386ad
--- /dev/null
+++ b/_config.yml
@@ -0,0 +1,5 @@
+# GitHub Pages (Jekyll) の配信設定
+# 開発用ドキュメントはリポジトリには置くが、Pages では配信しない
+exclude:
+  - docs/
+  - AGENTS.md
diff --git a/docs/REQUIREMENTS.md b/docs/REQUIREMENTS.md
new file mode 100644
index 0000000..7dc8548
--- /dev/null
+++ b/docs/REQUIREMENTS.md
@@ -0,0 +1,244 @@
+# matplotlib GUI 改善・機能拡充 要件定義書
+
+- 作成日: 2026-10-07
+- 対象リポジトリ: `mioupa/matplotlib_gui`（GitHub Pages で公開）
+- 位置づけ: 既存実装（`index.html` 単体、PyScript 2024.11.1）を改修するための要件。実装が進んだら AGENTS.md / README.md をこの内容に合わせて更新する。
+
+---
+
+## 1. 目的
+
+研究データ（CSV / TXT / XLSX）から、論文・学会発表にそのまま使える matplotlib の図を、ブラウザ上の GUI だけで作れるようにする。今回の改修では次の3点を狙う。
+
+1. 現行の不具合と仕様とのズレを解消する。
+2. 保守しやすい構成（ファイル分割、自動テスト）に作り替える。
+3. 「出力品質」「データ取り込み」「グラフ表現・解析」の3分野を拡充する。
+
+## 2. 決定事項（2026-10-07 にユーザーが決定）
+
+| 項目 | 決定 |
+|---|---|
+| 利用形態 | **GitHub Pages の URL から使う**。`file://` で直接開く使い方はサポート対象外とする |
+| ファイル構成 | **ファイルを分割**する（HTML / CSS / JS / Python パッケージ）。ビルド工程は設けない |
+| テスト | **自動テストを導入**する（pytest による単体テストと、Playwright による E2E テスト） |
+| Pythonコード(beta)タブ | **GUI 設定から matplotlib コードを生成して表示し、コピー・編集・実行できる機能に作り替える** |
+| 優先する分野 | 出力品質（論文・発表）、データ取り込み、グラフ表現・解析 |
+| 優先しない分野 | 操作性・再現性（設定保存、Undo、ズーム、オフライン化）。今回は後回しにする |
+
+### 2.1 引き続き守る前提（AGENTS.md より）
+
+- サーバー処理を持たない。計算はすべてブラウザ内の Python（PyScript / Pyodide）で行う。GitHub Pages は静的配信のみに使う。
+- 読み込んだデータを外部に送信しない（研究データを扱うため）。
+- 列の指定は列番号で行う（同じ名前の列があっても区別できるようにするため）。
+- 自動読込・自動描画の操作感を保つ（「読み込む」「描画する」ボタンは置かない）。
+- データ確認タブで、描画から除外される先頭行をグレーで表示する。
+- `parentNode` 系エラーの抑制・回復処理は削除しない（必要な場合は範囲を絞る。A9 を参照）。
+
+### 2.2 AGENTS.md から変える点
+
+- 「実装ファイルは `index.html` 単体」「`index.html` を開くだけで動く」は廃止し、GitHub Pages 配信を前提にする。
+- §12 の作業対象は絶対パスで書かれており、しかも実際の場所と合っていない。絶対パスはやめて「このリポジトリ配下のみ」と書く（ローカル環境のパスを公開リポジトリに載せないため）。
+
+---
+
+## 3. 現状の構成（2026-10-07 時点）
+
+- `index.html` 1ファイル（2,937行）。内訳は CSS 約600行、HTML 約270行、JS 約620行、Python 約1,440行。
+- PyScript 2024.11.1 を使い、パッケージは pandas、matplotlib、openpyxl を読み込む。
+- 処理の流れ:
+  1. ファイルを選ぶと、JS が `requestLoadColumns` を呼ぶ。
+  2. Python の `_load_dataframe` が DataFrame を作り、グローバル変数 `CURRENT_DF` に保持する。
+  3. 設定を変えると、JS が 250ms のデバウンス後に `requestRender` を呼ぶ。
+  4. Python の `_create_plot_figure` が DOM から全設定を読み直して図を作り、dpi 100 の PNG にして `<img>` で表示する。
+  5. 保存時は図を作り直し、dpi 120 で書き出す。
+- AGENTS.md に書かれていない実装済み機能: 軸の対数表示と範囲指定（第2軸を含む）、余白指定、背景透過での保存、Pythonコード(beta)タブ、ダークモード（OS 設定に追従）。
+
+---
+
+## 4. 目標アーキテクチャ
+
+### 4.1 ファイル構成（案）
+
+```
+index.html              画面のマークアップのみ
+pyscript.toml           PyScript の設定（パッケージ、Python ファイルの配置）
+icon.svg
+css/style.css
+js/main.js              エントリ（ES Modules）
+js/state.js             設定オブジェクト（唯一の正）とその更新・購読
+js/bridge.js            Python の呼び出し、描画要求の世代管理
+js/ui/                  系列カード、色選択、タブ、データ確認表、ステータス表示
+py/main.py              PyScript のエントリ。JS と Python の橋渡しだけを書く
+py/mplgui/loader.py     バイト列から DataFrame を作る（文字コード、区切り、シート、前置き行）
+py/mplgui/settings.py   設定スキーマ、既定値、検証、日本語エラーメッセージ
+py/mplgui/codegen.py    設定から matplotlib コードを生成する
+py/mplgui/runner.py     コードを実行し、Figure を画像（PNG/JPG/SVG/PDF）にする
+py/mplgui/fonts.py      日本語フォントなどの取得と登録
+tests/unit/             pytest（CPython と Agg バックエンドで実行）
+tests/e2e/              pytest-playwright（ブラウザで実行）
+tests/fixtures/         テスト用データ（UTF-8、BOM 付き、cp932、複数シートの xlsx、前置き行付きなど）
+pyproject.toml          開発用の依存のみ（実行時には使わない）
+docs/REQUIREMENTS.md    本書
+```
+
+### 4.2 設計方針
+
+- **設定オブジェクトを唯一の正とする**: 画面の状態はすべて JS 側の設定オブジェクト（JSON。`version` を持つ）に集める。Python は DOM を読まず、受け取った設定 JSON だけで処理する。
+- **描画経路をコード生成に一本化する**:
+  - 描画は「設定 → codegen が matplotlib コードを生成 → 実行 → Figure」の1経路だけにする。
+  - こうすると、画面に表示される図と書き出したコードの結果が必ず一致する。
+  - 現在の GUI 経路とカスタムコード経路の重複（凡例、目盛、グリッド、軸範囲の処理）もなくなる。
+  - 生成するコードは pandas、matplotlib、numpy だけを使う。独自ライブラリに依存させず、ローカルの Python でもそのまま動くようにする。
+- **Python のロジックを純粋関数にする**: `loader`、`settings`、`codegen`、`runner` は `js` モジュールに依存させない。これによって CPython 上で pytest を実行できる。
+- **バージョンを固定する**: PyScript、Pyodide、フォントの取得元は、すべてバージョンを固定した URL にする。
+- **開発環境を Pyodide に揃える**: 開発用の pandas と matplotlib のバージョンは、Pyodide に同梱されているものに合わせる。
+
+---
+
+## 5. 機能要件
+
+優先度は Must（必須）、Should（できれば今回）、Could（余裕があれば）の3段階。
+
+### 5.1 不具合・仕様とのズレの修正（Phase 1）
+
+| ID | 優先度 | 現状 | 要件・受け入れ条件 |
+|---|---|---|---|
+| A1 | Must | データ確認タブの行番号列 `#` と skipRows のグレーアウトが未実装。CSS（`.skipped-row`）だけがあり、`_render_data_preview` は `skip_rows` を受け取るが使っていない。初回コミットからこの状態 | 先頭100行に行番号列 `#` を表示する。描画から除外される行には `.skipped-row` を付ける。除外行数を変えたら、ファイルを読み直さずにすぐ反映する |
+| A2 | Must | 同じファイルを選び直しても `change` イベントが発火せず、再読込されない | 読込後に input の値をクリアし、選択中のファイル名は別の場所に表示する。同じファイルを選び直したら再読込される |
+| A3 | Must | 連続操作で描画が重なり、古い描画が後から終わって新しい結果を上書きすることがある | 描画要求ごとに世代番号を付け、最新の要求の結果だけを画面に反映する。E2E テストで設定を連続変更しても、最後の設定の図が表示される |
+| A4 | Must | 起動中・読込中の操作は、通知なしに捨てられる | 起動中はローディング状態を表示する。準備ができたら、その時点の最新設定で1回描画する |
+| A5 | Must | 文字コードは utf-8、shift_jis の順に試すだけ。BOM 付き UTF-8 だと先頭の列名に不可視文字が残る。機種依存文字（①、㈱など）があると失敗する | utf-8-sig、cp932 の順に試す（必要なら euc-jp も）。判定した文字コードを画面に表示する。すべて失敗したら、日本語で原因と対処を示す |
+| A6 | Must | 日本語フォント（約16MB）の取得に失敗すると、通知なしに文字化け（豆腐）になる。しかも描画のたびに取得をやり直す。取得元は `@main` でバージョンが固定されていない | 失敗は1回だけ通知し、そのセッションでは再試行しない。取得元のバージョンを固定する。ブラウザキャッシュ（Cache Storage など）で再訪時の取得を省く |
+| A7 | Must | 「1,234」や単位付きの値が NaN になり、通知なしに除外される | 数値に変換できず除外した件数を、系列ごとに警告として表示する |
+| A8 | Must | カスタムコード実行時、GUI のタイトル・グリッド・スケールなどがコード側の設定を強制的に上書きする。`fig.axes[1]` を第2軸とみなすため、subplots を使うと誤動作する | Phase 2 のタブ刷新で解消する。ユーザーが編集したコードには GUI の設定を上書き適用しない |
+| A9 | Must | `parentNode` を含むエラーをすべて握りつぶし、前の画像が残っていると「描画に成功しました」と表示する | 抑制処理は残す。ただし成功の誤表示はやめる。PyScript の更新後にこのエラーが再現するか確かめ、再現しない場合は削除するかをユーザーに確認する |
+| A10 | Must | DeprecationWarning を全体で無視している。`_spawn_task` は作成したタスクの参照を保持していない | 無視する警告を pyarrow 由来のものに限定する。実行中のタスクは参照を保持する |
+| A11 | Must | README に廃止済みの「描画する」ボタンが残っている。AGENTS.md に実装済み機能が書かれておらず、作業パスも誤っている | 各 Phase の完了時に README.md と AGENTS.md を実装に合わせて更新する |
+| B5 | Must | Pyodide の起動中（十数秒以上）と描画中に何も表示されない | 起動の進み具合（パッケージ読込、フォント取得）と描画中の状態を表示する |
+| B6 | Should | 系列カードのラベルが入力欄に関連付けられていない。タブに role/aria、ステータスに aria-live がない | ラベルと入力欄を関連付ける。タブに `role="tab"` と `aria-selected` を付け、ステータスを `aria-live` にする |
+| B7 | Must | 系列を削除すると既定色が重複する。scatter から line に戻すと、自分で入れた点サイズ24が0に戻る。不正な入力には `invalid literal for int()` などの英語の生メッセージが出る | 既定色は使われていない色から選ぶ。点サイズはユーザーが変更していない場合だけ自動で切り替える。入力エラーはすべて日本語で、どの項目が悪いかを示す |
+
+### 5.2 基盤の刷新（Phase 1）
+
+| ID | 優先度 | 要件・受け入れ条件 |
+|---|---|---|
+| F1 | Must | PyScript を最新の安定版に更新する（2026-10 時点の検索では 2026.7.3。実装時に改めて確認する）。記法は `<script type="py">` と `pyscript.toml` に移行する |
+| F2 | Must | 4.1 の構成にファイルを分割する。GitHub Pages 上で現行と同じ機能が動くこと |
+| F3 | Must | 4.2 の「設定オブジェクトを唯一の正とする」を実現する。Python 側から DOM を読んで設定を集める処理（`_collect_series_settings` など）をなくす |
+| F4 | Must | テストの仕組みを作る（7章を参照） |
+| F5 | Should | GitHub Actions で、push のたびに単体テストを、PR のたびに E2E テストを実行する |
+| F6 | Must | 起動時間と描画時間を計測し、記録する（8章の非機能要件の基準値にする） |
+
+### 5.3 Pythonコードタブの刷新（Phase 2）
+
+| ID | 優先度 | 要件・受け入れ条件 |
+|---|---|---|
+| P1 | Must | 描画経路をコード生成に一本化する（4.2 を参照）。GUI で作れるすべての図は、生成したコードの実行で描く |
+| P2 | Must | タブ名を「Pythonコード」にする。現在の GUI 設定から生成したスクリプト全体（データ読込部と描画部）を表示し、GUI を変えたら即時に更新する |
+| P3 | Must | 生成したスクリプトは「コピー」と「.py で保存」ができる。読込部には、判定した文字コード、区切り文字、シート名、前置き行数などを明示的に書く。データファイルと同じフォルダに置けば、ローカルの CPython でそのまま実行できる |
+| P4 | Must | 「編集」モードではスクリプトを書き換えて実行できる。編集中は GUI の変更でコードを上書きせず、「GUI と同期していません」と表示する。「GUI から再生成」で同期状態に戻せる。Ctrl/Cmd+Enter で実行できる |
+| P5 | Must | ブラウザ内での実行時は、アップロードしたファイルを Pyodide の仮想ファイルシステムに元のファイル名で置く。こうすると、表示しているスクリプトをそのまま実行できる。GUI 操作による自動描画では、読込済みの DataFrame を使い回して読込を省く |
+| P6 | Must | 実行エラーは、行番号付きのトレースバックをタブ内に表示する。`print` の出力もタブ内に表示する |
+| P7 | Should | 生成するコードは人が読んで直せる形にする。手順ごとに日本語のコメントを付け、変数名を分かりやすくする |
+
+### 5.4 出力品質（Phase 3）
+
+| ID | 優先度 | 要件・受け入れ条件 |
+|---|---|---|
+| C1 | Must | PNG/JPG の保存 DPI を指定できる（72 / 150 / 300 / 600、または任意の値）。既定値は 300（未決事項 U1） |
+| C2 | Must | 図のサイズを inch / cm / mm で指定できる。PDF は `pdf.fonttype=42` で書き出し、Illustrator などで文字を編集できるようにする。SVG では、文字をテキストのまま残すかパスに変換するかを選べる |
+| C3 | Should | 欧文フォントを選べる（Arial 互換、Times 互換など。未決事項 U3）。日本語には Noto Sans CJK JP を組み合わせる |
+| C4 | Should | スタイルプリセットを用意する。例: 「論文1段組（幅8.5cm、8pt）」「論文2段組（幅17cm）」「スライド16:9」。選ぶと、図のサイズ、フォントサイズ、線幅、マーカーサイズをまとめて設定する。カラーパレット（UD カラー、tab10、グレースケールなど）も切り替えられる |
+| C5 | Should | プレビュー中の図を、クリップボードに画像としてコピーできる |
+| C6 | Could | ラベルで数式・上付き・下付き（matplotlib の mathtext。例: `m$^2$`、`$\alpha$`）を使えることを画面上で案内する |
+
+### 5.5 データ取り込み（Phase 4）
+
+| ID | 優先度 | 要件・受け入れ条件 |
+|---|---|---|
+| D1 | Must | ファイルをドラッグ&ドロップで読み込める。Excel やスプレッドシートでコピーした表（タブ区切り）を貼り付けて読み込める |
+| D2 | Must | xlsx に複数のシートがあるときは、シートを選べる（既定は先頭シート） |
+| D3 | Must | 読込設定に「ヘッダより前の読み飛ばし行数」を追加する（測定器が出す CSV の説明行対策）。既存の「描画から除外する先頭データ行数」とは名前と配置で区別する |
+| D4 | Must | 桁区切り（`1,234`）、小数点カンマ、コメント行の記号を読込設定で指定できる |
+| D5 | Should | 日時の列を自動で認識し、日時軸として描画する。日時の表示書式を指定できる |
+| D6 | Should | 複数のファイルを読み込み、系列ごとにデータ元（ファイル）と列を選べる。列は「データ元＋列番号」で指定する（列番号で指定する原則は維持） |
+
+### 5.6 グラフ表現・解析（Phase 5）
+
+| ID | 優先度 | 要件・受け入れ条件 |
+|---|---|---|
+| G1 | Must | 系列ごとにエラーバーを付けられる。値は列で指定するか固定値にする。X 方向・Y 方向、上下非対称にも対応する |
+| G2 | Must | 目盛を細かく設定できる。主目盛の間隔、補助目盛の分割数、ラベルの書式（小数の桁数、指数表記、10^n 表記）、軸の反転、上と右の枠線の表示切替 |
+| G3 | Should | 系列のスタイルを増やす。マーカー形状、透明度、塗りつぶし帯（fill_between、上下の列を指定）。系列を並べ替えたり複製したりできる |
+| G4 | Should | 注釈を入れられる。テキスト（座標を指定）、水平・垂直の参照線、範囲の帯（axvspan / axhspan） |
+| G5 | Should | 近似曲線を描ける。線形と多項式（次数を指定）に対応し、式と R² を凡例または図中に表示する。計算は numpy で行う |
+| G6 | Should | 式で新しい列を作れる（例: `B*1000`、`B/C`）。正規化、オフセット、移動平均を簡単に適用できる |
+| G7 | Should | グラフの種類を増やす。第1弾はヒストグラム、横棒、積み上げ棒、ステップ、第3列の値で色分けした散布図（カラーバー付き） |
+| G8 | Could | グラフの種類を増やす（第2弾）。箱ひげ図、バイオリン図、ヒートマップ |
+| G9 | Could | 複数パネル（サブプロット。(a)(b) のラベル付き） |
+| G10 | Could | 任意の関数でのフィッティング（scipy の curve_fit）。scipy は使うときだけ読み込む（未決事項 U5） |
+
+### 5.7 後回しにする項目（今回の対象外）
+
+| ID | 内容 | 扱い |
+|---|---|---|
+| R1 | 設定の保存と読込（JSON）、前回設定の自動復元 | F3 で設定 JSON ができれば実装は軽い。余裕があれば入れる |
+| R2 | Undo / Redo | 対象外 |
+| R3 | プレビューのズーム、範囲を選んで軸範囲に反映、座標表示 | 対象外 |
+| R4 | オフライン起動（PWA） | 対象外。GitHub Pages 配信なので、将来の実装は可能 |
+| R5 | Web Worker での Python 実行 | 対象外。GitHub Pages では COOP/COEP ヘッダを付けられず、回避策が複雑なため |
+| R6 | 自然言語での設定指示（LLM 連携） | 対象外。利用者が各自 API キーを用意する必要があるため |
+
+---
+
+## 6. 画面要件（変更点）
+
+- 左の設定パネルを「データ読み込み」「系列」「軸・目盛」「体裁（フォント・サイズ・プリセット）」「注釈・解析」「保存」の区分に整理し、各区分を折りたためるようにする（機能が増えるため）。
+- 右側のタブは「プロット」「データ確認」「Pythonコード」の3つとする。
+- ステータス欄には、成功、警告（除外件数など）、エラーを区別して表示する。
+
+## 7. テスト要件
+
+| 種別 | 実行環境 | 対象 |
+|---|---|---|
+| 単体テスト | CPython と pytest。matplotlib は Agg バックエンド | `loader`（各文字コード、区切り文字、シート、前置き行、桁区切り）、`settings`（検証とエラーメッセージ）、`codegen`（生成したコードが実行でき、期待する artist（線、点、エラーバー、凡例など）を持つこと） |
+| E2E テスト | pytest-playwright（Chromium）とローカルの静的サーバー | 起動、`tests/fixtures` の読込、自動描画、設定変更での再描画、連続変更（A3）、データ確認のグレーアウト（A1）、保存、Pythonタブでの編集と実行 |
+| 生成コードの一致確認 | CPython | 生成したスクリプトをローカル実行した図と、ブラウザで描いた図の要素（系列数、軸範囲、ラベル）が一致すること |
+
+- 開発用の依存は `pyproject.toml` で管理する（uv の使用を想定）。
+- 新しい機能を追加するときは、その機能の単体テストを必ず追加する。
+
+## 8. 非機能要件
+
+| 項目 | 要件 |
+|---|---|
+| 対応ブラウザ | デスクトップ版の Chrome、Edge、Safari、Firefox の最新版。スマートフォンでは表示が崩れない程度でよい |
+| 起動時間 | F6 で計測した現状値より悪くしない。2回目以降の訪問ではフォントを再取得しない |
+| 描画の応答 | 目標は、10,000行×5系列で設定を変えてから1秒以内に再描画すること（F6 の計測後に確定する） |
+| データの扱い | 読み込んだデータを外部に送信しない。外部への通信は、ライブラリとフォントの取得だけにする |
+| エラー表示 | 利用者の操作が原因のエラーは、日本語で原因と対処を表示する。内部エラーの詳細は折りたたみ欄に表示する |
+| 依存 | CDN の URL はすべてバージョンを固定する |
+
+## 9. フェーズ計画
+
+| Phase | 内容 | 主な ID |
+|---|---|---|
+| 1 | 基盤の刷新と不具合修正 | F1–F6, A1–A11, B5–B7 |
+| 2 | 描画経路のコード生成化と、Pythonコードタブの刷新 | P1–P7（A8 もここで解消） |
+| 3 | 出力品質 | C1–C6 |
+| 4 | データ取り込み | D1–D6 |
+| 5 | グラフ表現・解析 | G1–G10 |
+
+- Phase 2 を Phase 3〜5 より先に行う。描画経路をコード生成に一本化してから機能を足すことで、各機能の実装が1か所（codegen）で済むようにするため。
+- 各 Phase は1本以上の PR にまとめ、完了時に README.md と AGENTS.md を更新する。
+
+## 10. 未決事項（既定案あり。実装開始までに確認する）
+
+| ID | 論点 | 既定案 |
+|---|---|---|
+| U1 | 保存 DPI の既定値 | 300 |
+| U2 | 図サイズの既定の単位 | 既定は inch（現行の 8×6 を維持）。cm と mm も選べる |
+| U3 | 追加する欧文フォント | Arimo（Arial 互換）、Tinos（Times 互換）。どちらも Apache 2.0 ライセンスで、バージョン固定の CDN から取得する |
+| U4 | グラフ種別を追加する順番 | 5.6 の G7 → G8 の順 |
+| U5 | scipy を導入するか | 任意関数のフィッティング（G10）を使うときだけ読み込む |
+| U6 | GitHub Actions を使うか（F5） | 使う |

From bd0122ca2d84d9b8ed43a4e7e9eb4c4b0238258d Mon Sep 17 00:00:00 2001
From: mioupa <mioupa.org@gmail.com>
Date: Wed, 7 Oct 2026 17:25:17 +0900
Subject: [PATCH 02/37] Add dev environment and synthetic test fixtures

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---
 .gitignore                           |   9 +
 pyproject.toml                       |  24 ++
 tests/fixtures/README.md             |  13 +
 tests/fixtures/cp932.csv             |  31 ++
 tests/fixtures/duplicate_columns.csv |  31 ++
 tests/fixtures/make_fixtures.py      |  71 +++++
 tests/fixtures/multi_sheet.xlsx      | Bin 0 -> 6382 bytes
 tests/fixtures/non_numeric.csv       |  21 ++
 tests/fixtures/tab.txt               |  31 ++
 tests/fixtures/utf8.csv              |  31 ++
 tests/fixtures/utf8_bom.csv          |  31 ++
 uv.lock                              | 435 +++++++++++++++++++++++++++
 12 files changed, 728 insertions(+)
 create mode 100644 .gitignore
 create mode 100644 pyproject.toml
 create mode 100644 tests/fixtures/README.md
 create mode 100644 tests/fixtures/cp932.csv
 create mode 100644 tests/fixtures/duplicate_columns.csv
 create mode 100644 tests/fixtures/make_fixtures.py
 create mode 100644 tests/fixtures/multi_sheet.xlsx
 create mode 100644 tests/fixtures/non_numeric.csv
 create mode 100644 tests/fixtures/tab.txt
 create mode 100644 tests/fixtures/utf8.csv
 create mode 100644 tests/fixtures/utf8_bom.csv
 create mode 100644 uv.lock

diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..85bc1e8
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,9 @@
+.venv/
+__pycache__/
+.pytest_cache/
+test-results/
+*.pyc
+.DS_Store
+# ベンチマークの出力・生成データ
+tests/perf/out/
+tests/perf/.tmp/
diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 0000000..85f43dd
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,24 @@
+[project]
+name = "matplotlib-gui-dev"
+version = "0.0.0"
+description = "開発用の依存のみ（実行時には使わない）"
+requires-python = ">=3.12"
+dependencies = []
+
+[tool.uv]
+package = false
+
+[tool.pytest.ini_options]
+testpaths = ["tests"]
+markers = [
+    "e2e: ブラウザ(Playwright)を使うE2Eテスト",
+    "unit: 単体テスト",
+    "slow: 時間のかかるテスト",
+]
+
+[dependency-groups]
+dev = [
+    "openpyxl>=3.1.5",
+    "pytest>=9.1.1",
+    "pytest-playwright>=0.9.0",
+]
diff --git a/tests/fixtures/README.md b/tests/fixtures/README.md
new file mode 100644
index 0000000..9ac4428
--- /dev/null
+++ b/tests/fixtures/README.md
@@ -0,0 +1,13 @@
+# テスト用データ
+
+すべて `make_fixtures.py` が生成する**合成データ**です（実データは含みません）。再生成: `uv run python tests/fixtures/make_fixtures.py`
+
+| ファイル | 内容・目的 |
+|---|---|
+| `utf8.csv` | UTF-8、カンマ区切り、ヘッダ行あり。列名は 時間 / 電圧 / 電流（基本ケース） |
+| `utf8_bom.csv` | BOM 付き UTF-8。先頭列名に不可視文字が残らないか |
+| `cp932.csv` | cp932。機種依存文字（①、㈱）を含み、厳密な shift_jis では読めない |
+| `tab.txt` | タブ区切りのテキスト |
+| `multi_sheet.xlsx` | 2 シート（Sheet1 / 二枚目）で内容が異なる |
+| `duplicate_columns.csv` | 同名の列（温度）が 2 つあり値が異なる（列番号指定の確認） |
+| `non_numeric.csv` | 「1,234」形式の数値、「12 mV」のような単位付き、N/A、空欄が混在 |
diff --git a/tests/fixtures/cp932.csv b/tests/fixtures/cp932.csv
new file mode 100644
index 0000000..468b509
--- /dev/null
+++ b/tests/fixtures/cp932.csv
@@ -0,0 +1,31 @@
+���ԇ@,�d��,�d��,���l
+0.0,0.0,1.5,���e�X�g
+0.1,0.1987,1.4777,�ʏ�
+0.2,0.3894,1.4127,�ʏ�
+0.3,0.5646,1.3108,�ʏ�
+0.4,0.7174,1.1812,�ʏ�
+0.5,0.8415,1.0354,���e�X�g
+0.6,0.932,0.8864,�ʏ�
+0.7,0.9854,0.7476,�ʏ�
+0.8,0.9996,0.6313,�ʏ�
+0.9,0.9738,0.548,�ʏ�
+1.0,0.9093,0.505,���e�X�g
+1.1,0.8085,0.5063,�ʏ�
+1.2,0.6755,0.5516,�ʏ�
+1.3,0.5155,0.637,�ʏ�
+1.4,0.335,0.7549,�ʏ�
+1.5,0.1411,0.8946,���e�X�g
+1.6,-0.0584,1.0437,�ʏ�
+1.7,-0.2555,1.189,�ʏ�
+1.8,-0.4425,1.3173,�ʏ�
+1.9,-0.6119,1.4174,�ʏ�
+2.0,-0.7568,1.4801,���e�X�g
+2.1,-0.8716,1.4999,�ʏ�
+2.2,-0.9516,1.4751,�ʏ�
+2.3,-0.9937,1.4079,�ʏ�
+2.4,-0.9962,1.3042,�ʏ�
+2.5,-0.9589,1.1733,���e�X�g
+2.6,-0.8835,1.027,�ʏ�
+2.7,-0.7728,0.8782,�ʏ�
+2.8,-0.6313,0.7404,�ʏ�
+2.9,-0.4646,0.6257,�ʏ�
diff --git a/tests/fixtures/duplicate_columns.csv b/tests/fixtures/duplicate_columns.csv
new file mode 100644
index 0000000..ef2566c
--- /dev/null
+++ b/tests/fixtures/duplicate_columns.csv
@@ -0,0 +1,31 @@
+温度,温度,値
+20.0,100,1.0
+20.5,98,1.4142
+21.0,96,1.7321
+21.5,94,2.0
+22.0,92,2.2361
+22.5,90,2.4495
+23.0,88,2.6458
+23.5,86,2.8284
+24.0,84,3.0
+24.5,82,3.1623
+25.0,80,3.3166
+25.5,78,3.4641
+26.0,76,3.6056
+26.5,74,3.7417
+27.0,72,3.873
+27.5,70,4.0
+28.0,68,4.1231
+28.5,66,4.2426
+29.0,64,4.3589
+29.5,62,4.4721
+30.0,60,4.5826
+30.5,58,4.6904
+31.0,56,4.7958
+31.5,54,4.899
+32.0,52,5.0
+32.5,50,5.099
+33.0,48,5.1962
+33.5,46,5.2915
+34.0,44,5.3852
+34.5,42,5.4772
diff --git a/tests/fixtures/make_fixtures.py b/tests/fixtures/make_fixtures.py
new file mode 100644
index 0000000..8aebcc0
--- /dev/null
+++ b/tests/fixtures/make_fixtures.py
@@ -0,0 +1,71 @@
+"""テスト用の合成データを決定的に生成する。実データは一切含まない。
+
+実行: uv run python tests/fixtures/make_fixtures.py
+"""
+import math
+from pathlib import Path
+
+import openpyxl
+
+OUT = Path(__file__).parent
+N = 30
+
+
+def rows():
+    out = []
+    for i in range(N):
+        t = i * 0.1
+        out.append((round(t, 3), round(math.sin(t * 2), 4), round(0.5 * math.cos(t * 3) + 1, 4)))
+    return out
+
+
+def csv_text(header, data, sep=","):
+    lines = [sep.join(header)]
+    lines += [sep.join(str(v) for v in r) for r in data]
+    return "\n".join(lines) + "\n"
+
+
+def main():
+    data = rows()
+    header = ["時間", "電圧", "電流"]
+    text = csv_text(header, data)
+    (OUT / "utf8.csv").write_bytes(text.encode("utf-8"))
+    (OUT / "utf8_bom.csv").write_bytes(text.encode("utf-8-sig"))
+
+    # cp932 固有（機種依存）文字: ① ㈱ は shift_jis(厳密) では符号化できない
+    cp_header = ["時間①", "電圧", "電流"]
+    lines = [",".join(cp_header) + ",備考"]
+    for i, r in enumerate(data):
+        lines.append(",".join(str(v) for v in r) + (",㈱テスト" if i % 5 == 0 else ",通常"))
+    (OUT / "cp932.csv").write_bytes(("\n".join(lines) + "\n").encode("cp932"))
+
+    (OUT / "tab.txt").write_bytes(csv_text(header, data, sep="\t").encode("utf-8"))
+
+    wb = openpyxl.Workbook()
+    ws1 = wb.active
+    ws1.title = "Sheet1"
+    ws1.append(header)
+    for r in data:
+        ws1.append(list(r))
+    ws2 = wb.create_sheet("二枚目")
+    ws2.append(["x", "y", "z"])
+    for i in range(20):
+        ws2.append([i, i * i, 100 - i])
+    wb.save(OUT / "multi_sheet.xlsx")
+
+    dup = ["温度", "温度", "値"]
+    # 同名列(温度)で値が異なる
+    d = [(20 + i * 0.5, 100 - i * 2, round(math.sqrt(i + 1), 4)) for i in range(N)]
+    (OUT / "duplicate_columns.csv").write_bytes(csv_text(dup, d).encode("utf-8"))
+
+    lines = ["番号,金額,電圧,単位付き"]
+    for i in range(20):
+        amount = f'"{(i + 1) * 1234:,}"'
+        volt = "N/A" if i % 7 == 3 else ("" if i % 7 == 5 else str(round(i * 0.25, 2)))
+        unit = f"{i * 3 + 1} mV"
+        lines.append(f"{i},{amount},{volt},{unit}")
+    (OUT / "non_numeric.csv").write_bytes(("\n".join(lines) + "\n").encode("utf-8"))
+
+
+if __name__ == "__main__":
+    main()
diff --git a/tests/fixtures/multi_sheet.xlsx b/tests/fixtures/multi_sheet.xlsx
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new file mode 100644
index 0000000..1b99a44
--- /dev/null
+++ b/tests/fixtures/non_numeric.csv
@@ -0,0 +1,21 @@
+番号,金額,電圧,単位付き
+0,"1,234",0.0,1 mV
+1,"2,468",0.25,4 mV
+2,"3,702",0.5,7 mV
+3,"4,936",N/A,10 mV
+4,"6,170",1.0,13 mV
+5,"7,404",,16 mV
+6,"8,638",1.5,19 mV
+7,"9,872",1.75,22 mV
+8,"11,106",2.0,25 mV
+9,"12,340",2.25,28 mV
+10,"13,574",N/A,31 mV
+11,"14,808",2.75,34 mV
+12,"16,042",,37 mV
+13,"17,276",3.25,40 mV
+14,"18,510",3.5,43 mV
+15,"19,744",3.75,46 mV
+16,"20,978",4.0,49 mV
+17,"22,212",N/A,52 mV
+18,"23,446",4.5,55 mV
+19,"24,680",,58 mV
diff --git a/tests/fixtures/tab.txt b/tests/fixtures/tab.txt
new file mode 100644
index 0000000..337dd9c
--- /dev/null
+++ b/tests/fixtures/tab.txt
@@ -0,0 +1,31 @@
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+0.1	0.1987	1.4777
+0.2	0.3894	1.4127
+0.3	0.5646	1.3108
+0.4	0.7174	1.1812
+0.5	0.8415	1.0354
+0.6	0.932	0.8864
+0.7	0.9854	0.7476
+0.8	0.9996	0.6313
+0.9	0.9738	0.548
+1.0	0.9093	0.505
+1.1	0.8085	0.5063
+1.2	0.6755	0.5516
+1.3	0.5155	0.637
+1.4	0.335	0.7549
+1.5	0.1411	0.8946
+1.6	-0.0584	1.0437
+1.7	-0.2555	1.189
+1.8	-0.4425	1.3173
+1.9	-0.6119	1.4174
+2.0	-0.7568	1.4801
+2.1	-0.8716	1.4999
+2.2	-0.9516	1.4751
+2.3	-0.9937	1.4079
+2.4	-0.9962	1.3042
+2.5	-0.9589	1.1733
+2.6	-0.8835	1.027
+2.7	-0.7728	0.8782
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diff --git a/tests/fixtures/utf8.csv b/tests/fixtures/utf8.csv
new file mode 100644
index 0000000..c740173
--- /dev/null
+++ b/tests/fixtures/utf8.csv
@@ -0,0 +1,31 @@
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+0.2,0.3894,1.4127
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diff --git a/tests/fixtures/utf8_bom.csv b/tests/fixtures/utf8_bom.csv
new file mode 100644
index 0000000..505d759
--- /dev/null
+++ b/tests/fixtures/utf8_bom.csv
@@ -0,0 +1,31 @@
+時間,電圧,電流
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+0.1,0.1987,1.4777
+0.2,0.3894,1.4127
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+1.9,-0.6119,1.4174
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new file mode 100644
index 0000000..085cf5a
--- /dev/null
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From 26bfdb9f77194610dbf22f8fad0a3d4e4d8d15cb Mon Sep 17 00:00:00 2001
From: mioupa <mioupa.org@gmail.com>
Date: Wed, 7 Oct 2026 17:25:44 +0900
Subject: [PATCH 03/37] Add E2E smoke test for current version

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---
 tests/e2e/conftest.py   | 48 ++++++++++++++++++++++++
 tests/e2e/helpers.py    | 81 +++++++++++++++++++++++++++++++++++++++++
 tests/e2e/server.py     | 17 +++++++++
 tests/e2e/test_smoke.py | 30 +++++++++++++++
 4 files changed, 176 insertions(+)
 create mode 100644 tests/e2e/conftest.py
 create mode 100644 tests/e2e/helpers.py
 create mode 100644 tests/e2e/server.py
 create mode 100644 tests/e2e/test_smoke.py

diff --git a/tests/e2e/conftest.py b/tests/e2e/conftest.py
new file mode 100644
index 0000000..7d87b55
--- /dev/null
+++ b/tests/e2e/conftest.py
@@ -0,0 +1,48 @@
+import os
+import sys
+from pathlib import Path
+
+import pytest
+
+sys.path.insert(0, str(Path(__file__).parent))
+from server import start_server  # noqa: E402
+
+REPO = Path(__file__).resolve().parents[2]
+FIXTURES = REPO / "tests" / "fixtures"
+
+
+@pytest.fixture(scope="session")
+def app_url():
+    """E2E_SERVE_DIR（既定: リポジトリルート）を配信するローカルサーバーのURL。"""
+    root = Path(os.environ.get("E2E_SERVE_DIR") or REPO)
+    srv, url = start_server(root)
+    yield url
+    srv.shutdown()
+
+
+@pytest.fixture(scope="session")
+def base_url(app_url):
+    return app_url
+
+
+@pytest.fixture(scope="session")
+def fixtures_dir():
+    return FIXTURES
+
+
+@pytest.fixture
+def page(page):
+    # Pyodide起動と日本語フォント取得は遅いので、タイムアウトを長めにする
+    page.set_default_timeout(180_000)
+    page.set_default_navigation_timeout(180_000)
+    return page
+
+
+@pytest.fixture
+def console_log(page, request):
+    """console error / pageerror を収集し、テスト終了時にまとめて出力する。"""
+    from helpers import ConsoleCollector
+
+    c = ConsoleCollector(page)
+    yield c
+    c.report()
diff --git a/tests/e2e/helpers.py b/tests/e2e/helpers.py
new file mode 100644
index 0000000..832fc4d
--- /dev/null
+++ b/tests/e2e/helpers.py
@@ -0,0 +1,81 @@
+"""アプリ固有の待機・操作ロジックはすべてここに置く（要素は id のみで選ぶ）。
+
+使用する信号（現行 index.html）:
+- アプリ準備完了: PyScript の初期化末尾で Python が `window.requestRender` /
+  `window.requestLoadColumns` を登録する。`typeof window.requestRender === 'function'`
+  を「Python準備完了」とする。
+- データ読込完了: `window.__matplotDataReady === true`（読込開始時に false、完了時に true）。
+- プロット更新: `#plotArea img` の src（PNG data URI）が変化したこと。
+  描画のたびに innerHTML ごと置き換えられる。
+"""
+import time
+
+READY_JS = "typeof window.requestRender === 'function' && typeof window.requestLoadColumns === 'function'"
+DATA_READY_JS = "window.__matplotDataReady === true"
+PLOT_SRC_JS = "(document.querySelector('#plotArea img') || {}).src || ''"
+
+
+class ConsoleCollector:
+    def __init__(self, page):
+        self.events = []  # (経過秒, 種別, 文言)
+        self.t0 = time.time()
+        self.stage = "startup"
+        page.on("console", self._on_console)
+        page.on("pageerror", lambda e: self._add("pageerror", str(e)))
+
+    def _on_console(self, msg):
+        if msg.type == "error":
+            self._add("console.error", msg.text)
+
+    def _add(self, kind, text):
+        self.events.append((round(time.time() - self.t0, 1), self.stage, kind, text[:500]))
+
+    def mark(self, stage):
+        self.stage = stage
+
+    def parentnode(self):
+        return [e for e in self.events if "parentNode" in e[3]]
+
+    def report(self):
+        print(f"\n[console-errors] total={len(self.events)} parentNode={len(self.parentnode())}")
+        for t, stage, kind, text in self.events:
+            print(f"  [{t}s][{stage}][{kind}] {text}")
+
+
+def wait_app_ready(page, timeout=300_000):
+    page.wait_for_function(READY_JS, timeout=timeout)
+
+
+def wait_data_ready(page, timeout=120_000):
+    page.wait_for_function(DATA_READY_JS, timeout=timeout)
+
+
+def plot_src(page) -> str:
+    return page.evaluate(PLOT_SRC_JS)
+
+
+def load_fixture(page, path):
+    """ファイル入力に設定する。自動読込→データ準備完了まで待つ。"""
+    page.set_input_files("#fileInput", str(path))
+    wait_data_ready(page)
+
+
+def wait_plot_changed(page, previous_src, timeout=120_000):
+    """プロット画像のsrcが previous_src から変わる（新規表示を含む）まで待つ。新しいsrcを返す。"""
+    page.wait_for_function(
+        f"(prev) => {{ const s = {PLOT_SRC_JS}; return s !== '' && s !== prev; }}",
+        arg=previous_src,
+        timeout=timeout,
+    )
+    return plot_src(page)
+
+
+def set_title(page, text):
+    page.fill("#title", text)  # input イベントで250msデバウンス後に再描画
+
+
+def save_plot(page, timeout=120_000):
+    """保存ボタンを押してダウンロードを返す。"""
+    with page.expect_download(timeout=timeout) as dl:
+        page.click("#savePlotBtn")
+    return dl.value
diff --git a/tests/e2e/server.py b/tests/e2e/server.py
new file mode 100644
index 0000000..336e743
--- /dev/null
+++ b/tests/e2e/server.py
@@ -0,0 +1,17 @@
+"""静的HTTPサーバー（stdlib）。E2Eとベンチマークで共用する。"""
+import functools
+import http.server
+import threading
+from pathlib import Path
+
+
+class _Quiet(http.server.SimpleHTTPRequestHandler):
+    def log_message(self, *a, **k):
+        pass
+
+
+def start_server(directory) -> tuple[http.server.ThreadingHTTPServer, str]:
+    handler = functools.partial(_Quiet, directory=str(Path(directory)))
+    srv = http.server.ThreadingHTTPServer(("127.0.0.1", 0), handler)
+    threading.Thread(target=srv.serve_forever, daemon=True).start()
+    return srv, f"http://127.0.0.1:{srv.server_address[1]}/"
diff --git a/tests/e2e/test_smoke.py b/tests/e2e/test_smoke.py
new file mode 100644
index 0000000..782ca75
--- /dev/null
+++ b/tests/e2e/test_smoke.py
@@ -0,0 +1,30 @@
+import pytest
+
+from helpers import load_fixture, plot_src, save_plot, set_title, wait_app_ready, wait_plot_changed
+
+pytestmark = pytest.mark.e2e
+
+
+def test_smoke(page, app_url, fixtures_dir, console_log, tmp_path):
+    page.goto(app_url)
+    wait_app_ready(page)
+
+    console_log.mark("load")
+    load_fixture(page, fixtures_dir / "utf8.csv")
+    first = wait_plot_changed(page, "")
+    assert first.startswith("data:image/png;base64,")
+
+    console_log.mark("rerender")
+    set_title(page, "テストタイトル")
+    second = wait_plot_changed(page, first)
+    assert second != first
+    assert plot_src(page) == second
+
+    console_log.mark("save")
+    dl = save_plot(page)
+    path = tmp_path / dl.suggested_filename
+    dl.save_as(path)
+    data = path.read_bytes()
+    assert len(data) > 0
+    assert data[:8] == b"\x89PNG\r\n\x1a\n"
+    assert dl.suggested_filename.endswith(".png")

From ca537013af685cab11cf800a768dda04d1d74edc Mon Sep 17 00:00:00 2001
From: mioupa <mioupa.org@gmail.com>
Date: Wed, 7 Oct 2026 17:31:11 +0900
Subject: [PATCH 04/37] Add baseline performance benchmark and results

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---
 docs/PERFORMANCE.md |  46 ++++++++++++
 tests/perf/bench.py | 170 ++++++++++++++++++++++++++++++++++++++++++++
 2 files changed, 216 insertions(+)
 create mode 100644 docs/PERFORMANCE.md
 create mode 100644 tests/perf/bench.py

diff --git a/docs/PERFORMANCE.md b/docs/PERFORMANCE.md
new file mode 100644
index 0000000..883958e
--- /dev/null
+++ b/docs/PERFORMANCE.md
@@ -0,0 +1,46 @@
+# パフォーマンス計測記録
+
+計測スクリプト: `tests/perf/bench.py`（Playwright 同期 API。pytest では収集されない）。
+再実行: `uv run python tests/perf/bench.py --reps 5 --json tests/perf/out/result.json`
+（`--headed` で有ヘッドレス解除、環境変数 `E2E_SERVE_DIR` で配信ディレクトリを切替。出力先 `tests/perf/out/` は git 管理外）
+
+## 変更前（ベースライン）
+
+### 計測条件
+
+| 項目 | 内容 |
+|---|---|
+| 日付 | 2026-10-07 |
+| 対象 | `index.html` は `795d2f8` 時点から未変更（計測スクリプトを含む HEAD は `26bfdb9`）。PyScript 2024.11.1 |
+| マシン | Mac16,10 / Apple M4 / メモリ 24 GB |
+| OS | macOS 27.0.1 |
+| ブラウザ | Chromium 153.0.8010.12（Playwright、ヘッドレス） |
+| ネットワーク | 実ネットワーク（CDN からのダウンロードを含む。初回は約37 MB 取得: pyscript.net / cdn.jsdelivr.net / PyPI など） |
+| 配信 | ローカルの静的 HTTP サーバー（127.0.0.1） |
+| 反復 | 各項目 N=5 |
+
+### 計測方法
+
+- **コールド起動**: 反復ごとに新規ブラウザコンテキスト（HTTP キャッシュ空）で `goto` し、Python 側が `window.requestRender` を登録して操作可能になるまで。
+- **ウォーム起動**: 同一コンテキストで1回読み込んでキャッシュを温めた後、反復ごとに新規ページで再ナビゲーション（HTTP キャッシュ有効）。Python／Pyodide の初期化は毎回走るので、短縮されるのはダウンロード分のみ。
+- **描画**: 実行時に生成した 10,000 行（X 1列 + Y 5列）の CSV を使用（コミットしない）。系列カード5つ（X=x列、Y=y1〜y5）を設定。キャッシュを温めたコンテキストで反復ごとに新規ページ。
+  - 初回: ファイル選択 → 自動読込 → 最初のプロット表示まで。
+  - 設定変更: タイトル入力の `input` イベント発行から、`#plotArea` に新しい画像が表示されるまで（ページ内 `performance.now()`）。250ms のデバウンスを含む。
+  - 保存: 保存ボタンのクリックからダウンロード開始まで（PNG）。
+
+### 結果（ミリ秒）
+
+| 項目 | 中央値 | 最小 | 最大 |
+|---|---:|---:|---:|
+| コールド起動 | 3,424 | 3,411 | 6,003 |
+| ウォーム起動 | 2,881 | 2,877 | 2,884 |
+| 初回ファイル読込 → 最初のプロット | 417 | 405 | 422 |
+| 設定変更 → プロット更新（デバウンス込み） | 413 | 401 | 422 |
+| 同上（デバウンス 250ms 除く） | 163 | 151 | 172 |
+| 保存（PNG、クリック → ダウンロード開始） | 206 | 201 | 214 |
+
+備考: コールド起動の最大値 6,003 は1回目の反復のみ（CDN 側／OS 側のキャッシュが冷えていたため）で、2回目以降は約3.4秒。
+
+## Phase 1 後
+
+（Phase 1 完了後に同じスクリプトで計測し、ここに記入する）
diff --git a/tests/perf/bench.py b/tests/perf/bench.py
new file mode 100644
index 0000000..a696757
--- /dev/null
+++ b/tests/perf/bench.py
@@ -0,0 +1,170 @@
+"""ベースライン/比較用ベンチマーク（pytest では収集されない: test_ で始まらない）。
+
+実行: uv run python tests/perf/bench.py [--reps 5] [--headed] [--json out.json]
+E2E_SERVE_DIR で配信ディレクトリを切り替えられる（既定: リポジトリルート）。
+アプリ固有の待機は tests/e2e/helpers.py を再利用する。
+"""
+import argparse
+import csv
+import json
+import os
+import platform
+import statistics
+import sys
+import tempfile
+import time
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parents[2]
+sys.path.insert(0, str(REPO / "tests" / "e2e"))
+from helpers import load_fixture, plot_src, wait_app_ready, wait_data_ready, wait_plot_changed  # noqa: E402
+from server import start_server  # noqa: E402
+from playwright.sync_api import sync_playwright  # noqa: E402
+
+DEBOUNCE_MS = 250
+TIMEOUT = 300_000
+
+# 変更イベント発行から新しい画像表示までを、ページ内の performance.now() で測る
+CHANGE_JS = """
+([sel, value]) => new Promise((resolve) => {
+  const area = document.getElementById('plotArea');
+  const prev = (area.querySelector('img') || {}).src || '';
+  const el = document.querySelector(sel);
+  const t0 = performance.now();
+  const check = () => {
+    const s = (area.querySelector('img') || {}).src || '';
+    if (s && s !== prev) { obs.disconnect(); resolve(performance.now() - t0); }
+  };
+  const obs = new MutationObserver(check);
+  obs.observe(area, {childList: true, subtree: true, attributes: true});
+  el.value = value;
+  el.dispatchEvent(new Event('input', {bubbles: true}));
+});
+"""
+
+
+def stats(xs):
+    return {"median": statistics.median(xs), "min": min(xs), "max": max(xs), "n": len(xs)}
+
+
+def make_csv(path, rows=10_000):
+    import math
+    with open(path, "w", newline="", encoding="utf-8") as f:
+        w = csv.writer(f)
+        w.writerow(["x", "y1", "y2", "y3", "y4", "y5"])
+        for i in range(rows):
+            x = i * 0.01
+            w.writerow([round(x, 4)] + [round(math.sin(x * (k + 1)) + 0.1 * k, 5) for k in range(5)])
+
+
+def setup_series(page):
+    for _ in range(4):
+        page.click("#addSeriesBtn")
+    n = page.locator("#seriesList .series-item").count()
+    assert n == 5, n
+    for k in range(5):
+        item = page.locator("#seriesList .series-item").nth(k)
+        item.locator(".series-x").select_option("__idx__0")
+        item.locator(".series-y").select_option(f"__idx__{k + 1}")
+
+
+def bench_startup(browser, url, reps):
+    cold, warm = [], []
+    for _ in range(reps):
+        ctx = browser.new_context()  # 空のHTTPキャッシュ
+        page = ctx.new_page()
+        t = time.perf_counter()
+        page.goto(url, timeout=TIMEOUT)
+        wait_app_ready(page, TIMEOUT)
+        cold.append((time.perf_counter() - t) * 1000)
+        ctx.close()
+    # ウォーム: 同一コンテキストで1回目(捨てる)の後、新規ページで再ナビゲート（HTTPキャッシュ有効）
+    ctx = browser.new_context()
+    p0 = ctx.new_page()
+    p0.goto(url, timeout=TIMEOUT)
+    wait_app_ready(p0, TIMEOUT)
+    p0.close()
+    for _ in range(reps):
+        page = ctx.new_page()
+        t = time.perf_counter()
+        page.goto(url, timeout=TIMEOUT)
+        wait_app_ready(page, TIMEOUT)
+        warm.append((time.perf_counter() - t) * 1000)
+        page.close()
+    ctx.close()
+    return cold, warm
+
+
+def bench_render(browser, url, reps, csv_path):
+    first_plot, change, save = [], [], []
+    ctx = browser.new_context()
+    # フォント等をHTTPキャッシュに載せるための捨て試行
+    p0 = ctx.new_page()
+    p0.goto(url, timeout=TIMEOUT)
+    wait_app_ready(p0, TIMEOUT)
+    load_fixture(p0, csv_path)
+    wait_plot_changed(p0, "", TIMEOUT)
+    p0.close()
+    for i in range(reps):
+        page = ctx.new_page()
+        page.set_default_timeout(TIMEOUT)
+        page.goto(url)
+        wait_app_ready(page, TIMEOUT)
+        t = time.perf_counter()
+        page.set_input_files("#fileInput", str(csv_path))
+        wait_data_ready(page, TIMEOUT)
+        wait_plot_changed(page, "", TIMEOUT)
+        first_plot.append((time.perf_counter() - t) * 1000)
+        setup_series(page)
+        page.wait_for_timeout(3000)  # 系列設定による再描画の収束待ち
+        src = plot_src(page)
+        change.append(page.evaluate(CHANGE_JS, ["#title", f"bench title {i}"]))
+        page.wait_for_timeout(1500)
+        t = time.perf_counter()
+        with page.expect_download(timeout=TIMEOUT) as dl:
+            page.click("#savePlotBtn")
+        dl.value.path()
+        save.append((time.perf_counter() - t) * 1000)
+        page.close()
+    ctx.close()
+    return first_plot, change, save
+
+
+def fmt(name, xs):
+    s = stats(xs)
+    return f"{name:<44} median {s['median']:9.0f}  min {s['min']:9.0f}  max {s['max']:9.0f}  (ms, n={s['n']})"
+
+
+def main():
+    ap = argparse.ArgumentParser()
+    ap.add_argument("--reps", type=int, default=5)
+    ap.add_argument("--headed", action="store_true")
+    ap.add_argument("--json")
+    a = ap.parse_args()
+    serve = Path(os.environ.get("E2E_SERVE_DIR") or REPO)
+    srv, url = start_server(serve)
+    tmp = Path(tempfile.mkdtemp(prefix="bench_"))
+    csv_path = tmp / "bench_10000x6.csv"
+    make_csv(csv_path)
+    with sync_playwright() as p:
+        browser = p.chromium.launch(headless=not a.headed)
+        print("chromium", browser.version, "headed" if a.headed else "headless", "platform", platform.platform())
+        cold, warm = bench_startup(browser, url, a.reps)
+        first, change, save = bench_render(browser, url, a.reps, csv_path)
+        browser.close()
+    res = {
+        "cold_startup_ms": cold, "warm_startup_ms": warm,
+        "first_plot_ms": first, "change_to_plot_ms": change,
+        "change_to_plot_minus_debounce_ms": [c - DEBOUNCE_MS for c in change],
+        "save_png_ms": save,
+    }
+    for k, v in res.items():
+        print(fmt(k, v))
+    if a.json:
+        Path(a.json).parent.mkdir(parents=True, exist_ok=True)
+        Path(a.json).write_text(json.dumps(res, indent=1))
+    srv.shutdown()
+
+
+if __name__ == "__main__":
+    main()

From 325937330e8de6b5acf0e16499806fb3e580a00b Mon Sep 17 00:00:00 2001
From: mioupa <mioupa.org@gmail.com>
Date: Wed, 7 Oct 2026 17:31:13 +0900
Subject: [PATCH 05/37] Fix wording in PERFORMANCE.md

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---
 docs/PERFORMANCE.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/PERFORMANCE.md b/docs/PERFORMANCE.md
index 883958e..2e28a8d 100644
--- a/docs/PERFORMANCE.md
+++ b/docs/PERFORMANCE.md
@@ -2,7 +2,7 @@
 
 計測スクリプト: `tests/perf/bench.py`（Playwright 同期 API。pytest では収集されない）。
 再実行: `uv run python tests/perf/bench.py --reps 5 --json tests/perf/out/result.json`
-（`--headed` で有ヘッドレス解除、環境変数 `E2E_SERVE_DIR` で配信ディレクトリを切替。出力先 `tests/perf/out/` は git 管理外）
+（`--headed` でヘッドあり実行、環境変数 `E2E_SERVE_DIR` で配信ディレクトリを切替。出力先 `tests/perf/out/` は git 管理外）
 
 ## 変更前（ベースライン）
 

From f0cd8d1d73645cc30e468eb2fe64e9c52974abb7 Mon Sep 17 00:00:00 2001
From: mioupa <mioupa.org@gmail.com>
Date: Wed, 7 Oct 2026 17:36:14 +0900
Subject: [PATCH 06/37] Migrate to PyScript 2026.7.3 and pyscript.toml

Use <script type="py" config="./pyscript.toml"> and pinned core.js/core.css.
openpyxl 3.1.5 and et_xmlfile 2.0.0 are installed from PyPI via micropip.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---
 index.html    | 11 ++++-------
 pyscript.toml |  2 ++
 2 files changed, 6 insertions(+), 7 deletions(-)
 create mode 100644 pyscript.toml

diff --git a/index.html b/index.html
index 2a957dc..72e6fd6 100644
--- a/index.html
+++ b/index.html
@@ -8,8 +8,8 @@
     <link rel="preconnect" href="https://fonts.googleapis.com" />
     <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin />
     <link href="https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;500;700&display=swap" rel="stylesheet" />
-    <link rel="stylesheet" href="https://pyscript.net/releases/2024.11.1/core.css" />
-    <script type="module" src="https://pyscript.net/releases/2024.11.1/core.js"></script>
+    <link rel="stylesheet" href="https://pyscript.net/releases/2026.7.3/core.css" />
+    <script type="module" src="https://pyscript.net/releases/2026.7.3/core.js"></script>
     <style>
       :root {
         color-scheme: light;
@@ -594,9 +594,6 @@
         }
       }
     </style>
-    <py-config>
-      packages = ["pandas", "matplotlib", "openpyxl"]
-    </py-config>
   </head>
   <body>
     <div class="layout">
@@ -1498,7 +1495,7 @@ <h1>Matplotlib GUI</h1>
       })();
     </script>
 
-    <py-script>
+    <script type="py" config="./pyscript.toml">
 import io
 import base64
 import asyncio
@@ -2932,6 +2929,6 @@ <h1>Matplotlib GUI</h1>
         set_status("内部エラーを自動回避しました。ページを再読み込みして再試行してください。", True, detail)
     else:
         set_status(f"初期化エラー: {exc}", True)
-    </py-script>
+    </script>
   </body>
 </html>
diff --git a/pyscript.toml b/pyscript.toml
new file mode 100644
index 0000000..3836d43
--- /dev/null
+++ b/pyscript.toml
@@ -0,0 +1,2 @@
+# PyScript 2026.7.3 (Pyodide 314.0.3 / Python 3.14)。openpyxl は Pyodide 同梱ではないため PyPI から micropip で導入する。
+packages = ["pandas", "matplotlib", "openpyxl==3.1.5", "et_xmlfile==2.0.0"]

From 0236c0abe014ccc8be40dc88cc5f9de4cfb8542d Mon Sep 17 00:00:00 2001
From: mioupa <mioupa.org@gmail.com>
Date: Wed, 7 Oct 2026 17:36:14 +0900
Subject: [PATCH 07/37] Pin dev dependencies to Pyodide 314 versions

Python 3.14, pandas 3.0.2, matplotlib 3.10.8, numpy 2.4.3, openpyxl 3.1.5.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---
 .python-version |   1 +
 pyproject.toml  |   8 +-
 uv.lock         | 392 ++++++++++++++++++++++++++++++++++--------------
 3 files changed, 288 insertions(+), 113 deletions(-)
 create mode 100644 .python-version

diff --git a/.python-version b/.python-version
new file mode 100644
index 0000000..6324d40
--- /dev/null
+++ b/.python-version
@@ -0,0 +1 @@
+3.14
diff --git a/pyproject.toml b/pyproject.toml
index 85f43dd..7db5512 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -2,7 +2,7 @@
 name = "matplotlib-gui-dev"
 version = "0.0.0"
 description = "開発用の依存のみ（実行時には使わない）"
-requires-python = ">=3.12"
+requires-python = ">=3.14,<3.15"
 dependencies = []
 
 [tool.uv]
@@ -18,7 +18,11 @@ markers = [
 
 [dependency-groups]
 dev = [
-    "openpyxl>=3.1.5",
+    # ブラウザ(Pyodide 314.0.3)と同じバージョンに固定する
+    "pandas==3.0.2",
+    "matplotlib==3.10.8",
+    "numpy==2.4.3",
+    "openpyxl==3.1.5",
     "pytest>=9.1.1",
     "pytest-playwright>=0.9.0",
 ]
diff --git a/uv.lock b/uv.lock
index 085cf5a..c690797 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,6 +1,11 @@
 version = 1
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+]
 
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 name = "matplotlib-gui-dev"
 version = "0.0.0"
@@ -252,7 +290,10 @@ source = { virtual = "." }
 
 [package.dev-dependencies]
 dev = [
+    { name = "matplotlib" },
+    { name = "numpy" },
     { name = "openpyxl" },
+    { name = "pandas" },
     { name = "pytest" },
     { name = "pytest-playwright" },
 ]
@@ -261,11 +302,43 @@ dev = [
 
 [package.metadata.requires-dev]
 dev = [
-    { name = "openpyxl", specifier = ">=3.1.5" },
+    { name = "matplotlib", specifier = "==3.10.8" },
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+    { name = "openpyxl", specifier = "==3.1.5" },
+    { name = "pandas", specifier = "==3.0.2" },
     { name = "pytest", specifier = ">=9.1.1" },
     { name = "pytest-playwright", specifier = ">=0.9.0" },
 ]
 
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+    { url = "https://files.pythonhosted.org/packages/10/08/b94d7811281ccf0d143a1cf768d1c49e1e54af63e7b708ab2ee3eb87face/pillow-12.3.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:24870b09b224f7ae3c39ed07d10e819d06f8720bc551847b1d623832b5b0e28d", size = 6391281, upload-time = "2026-07-01T11:55:26.252Z" },
+    { url = "https://files.pythonhosted.org/packages/d2/87/24233f785f55474dc02ce3e739c5528a77e3a862e9333d1dd7a25cc31f70/pillow-12.3.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:30f2aa603c41533cc25c05acd0da21636e84a315768feb631c937177db558931", size = 7096716, upload-time = "2026-07-01T11:55:28.318Z" },
+    { url = "https://files.pythonhosted.org/packages/23/26/fcb2f6e37175b04f53570b59937867e2b80ee1685e744023153028fc14f9/pillow-12.3.0-cp314-cp314t-win32.whl", hash = "sha256:4b0a7fe987b14c31ebda6083f74f22b561fd3739bc0ac51e019622e3d72668c7", size = 6474125, upload-time = "2026-07-01T11:55:30.956Z" },
+    { url = "https://files.pythonhosted.org/packages/90/de/3634abee5f1c9e13c56787b7d5517b0ba8d6de51700b95578cf338349c9f/pillow-12.3.0-cp314-cp314t-win_amd64.whl", hash = "sha256:962864dc93511324d51ddbb5b9f8731bf71675b93ca612a07441896f4688fb8c", size = 7242939, upload-time = "2026-07-01T11:55:34.044Z" },
+    { url = "https://files.pythonhosted.org/packages/ce/2a/fd13f8eb24de5714a6eb444a3d67e2842c6c576e159a43793adf23051351/pillow-12.3.0-cp314-cp314t-win_arm64.whl", hash = "sha256:0740a512dc522224c77d9aa5a8d70d8b7d73fb91f2c21125d8d025d3b8990e45", size = 2567506, upload-time = "2026-07-01T11:55:35.988Z" },
+]
+
 [[package]]
 name = "playwright"
 version = "1.63.0"
@@ -336,6 +467,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/71/46/17f022dd3e953bf20a04a028a21ec746d942f8d2af30fa0f124fa0e6a684/pygments-2.21.0-py3-none-any.whl", hash = "sha256:2363c69b61c4a97c838da3b130dcd6468f4848992b21a82f2a63ec34377137d9", size = 1250147, upload-time = "2026-08-17T08:02:44.912Z" },
 ]
 
+[[package]]
+name = "pyparsing"
+version = "3.3.3"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/e4/11/b213bebff182584360cb8d17c72c1677fec5c5c228de439e63bcf8ab1c8f/pyparsing-3.3.3.tar.gz", hash = "sha256:928ae7e20211f3b6f3915a72f06a0cfd29ab9d24279dd6346b6b1a7146397d36", size = 1050487, upload-time = "2026-09-20T20:59:05.609Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/38/bb/d215ee7c73b61497b28a5503f9f53523f294fcc936762b7caf90e0c1c2b5/pyparsing-3.3.3-py3-none-any.whl", hash = "sha256:ece8c00a69cf01b45d0b1dedabb469c90d8caf996d4fda40f147627a122849a4", size = 126420, upload-time = "2026-09-20T20:59:04.025Z" },
+]
+
 [[package]]
 name = "pytest"
 version = "9.1.1"
@@ -380,6 +520,18 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/ab/70/72ff5c3833f0faa9b5fb23f24c0a606f070ad33bb61b802ba38dfe125e7d/pytest_playwright-0.9.0-py3-none-any.whl", hash = "sha256:9d9dc74e335c647944cecfffa706cc9e6e4bf4c25e84592c128b584d494d4471", size = 17915, upload-time = "2026-08-10T10:20:18.253Z" },
 ]
 
+[[package]]
+name = "python-dateutil"
+version = "2.9.0.post0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "six" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/66/c0/0c8b6ad9f17a802ee498c46e004a0eb49bc148f2fd230864601a86dcf6db/python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3", size = 342432, upload-time = "2024-03-01T18:36:20.211Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/ec/57/56b9bcc3c9c6a792fcbaf139543cee77261f3651ca9da0c93f5c1221264b/python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427", size = 229892, upload-time = "2024-03-01T18:36:18.57Z" },
+]
+
 [[package]]
 name = "python-slugify"
 version = "8.0.4"
@@ -407,6 +559,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/a0/f4/c67b0b3f1b9245e8d266f0f112c500d50e5b4e83cb6f3b71b6528104182a/requests-2.34.2-py3-none-any.whl", hash = "sha256:2a0d60c172f83ac6ab31e4554906c0f3b3588d37b5cb939b1c061f4907e278e0", size = 73075, upload-time = "2026-05-14T19:25:26.443Z" },
 ]
 
+[[package]]
+name = "six"
+version = "1.17.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/94/e7/b2c673351809dca68a0e064b6af791aa332cf192da575fd474ed7d6f16a2/six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81", size = 34031, upload-time = "2024-12-04T17:35:28.174Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/b7/ce/149a00dd41f10bc29e5921b496af8b574d8413afcd5e30dfa0ed46c2cc5e/six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274", size = 11050, upload-time = "2024-12-04T17:35:26.475Z" },
+]
+
 [[package]]
 name = "text-unidecode"
 version = "1.3"
@@ -425,6 +586,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/49/d3/b8441a820a491ddfc024b0b0cf0393375b75ea13866d9c66727e54c2fc80/typing_extensions-4.16.0-py3-none-any.whl", hash = "sha256:481caa481374e813c1b176ada14e97f1f67a4539ce9cfeb3f350d78d6370c2e8", size = 45571, upload-time = "2026-07-02T08:40:04.659Z" },
 ]
 
+[[package]]
+name = "tzdata"
+version = "2026.5"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/d9/68/f1b440335057bfce71b6e50a9d09445aa2ecbd08359a337976627b8409e7/tzdata-2026.5.tar.gz", hash = "sha256:8cc73c0a0bfca7dbfa59235d60b2eff82231dee33f53d206db1acd9173cfc0a7", size = 200404, upload-time = "2026-10-03T09:23:14.143Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/94/21/1e5995a1c920cce14e4bffae20c665ec10e7ed03ab25e006cd741092b718/tzdata-2026.5-py2.py3-none-any.whl", hash = "sha256:b683bd1b6659ddcd810ff02ad09ba821d4bf1065072805063eb35c49617905ac", size = 347996, upload-time = "2026-10-03T09:23:12.535Z" },
+]
+
 [[package]]
 name = "urllib3"
 version = "2.8.0"

From 30aee0d91170e6e08663d5dd68aa1a991ab5d1b8 Mon Sep 17 00:00:00 2001
From: mioupa <mioupa.org@gmail.com>
Date: Wed, 7 Oct 2026 17:51:33 +0900
Subject: [PATCH 08/37] Log suppressed parentNode errors via console.warn

Suppression is unchanged. Each suppression point (JS error/unhandledrejection/
console.error handlers and the Python except blocks) now emits
console.warn("[mplgui] suppressed parentNode error:", where, message).

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---
 index.html | 27 +++++++++++++++++++++++++++
 1 file changed, 27 insertions(+)

diff --git a/index.html b/index.html
index 72e6fd6..79161ea 100644
--- a/index.html
+++ b/index.html
@@ -868,10 +868,17 @@ <h1>Matplotlib GUI</h1>
 
     <script>
       (() => {
+        const __warn = console.warn.bind(console);
         const isTargetError = (msg) =>
           typeof msg === "string" &&
           (msg.includes("parentNode") || msg.includes("'NoneType' object has no attribute 'parentNode'"));
 
+        const logSuppressed = (where, msg, stack = "") => {
+          try {
+            __warn("[mplgui] suppressed parentNode error:", where, String(msg));
+          } catch (_) {}
+        };
+
         const buildJsErrorDetail = (source, msg, stack = "", extras = []) => {
           const lines = [`source: ${source}`];
           if (msg) lines.push(`message: ${msg}`);
@@ -924,6 +931,7 @@ <h1>Matplotlib GUI</h1>
           if (isTargetError(msg)) {
             event.preventDefault();
             const stack = event?.error?.stack || "";
+            logSuppressed("window.error", msg, stack);
             const extras = [
               event?.filename ? `file: ${event.filename}` : "",
               event?.lineno ? `line: ${event.lineno}` : "",
@@ -939,6 +947,7 @@ <h1>Matplotlib GUI</h1>
           if (isTargetError(msg)) {
             event.preventDefault();
             const stack = reason?.stack || "";
+            logSuppressed("window.unhandledrejection", msg, stack);
             notify(buildJsErrorDetail("window.unhandledrejection", msg, stack));
           }
         });
@@ -947,6 +956,7 @@ <h1>Matplotlib GUI</h1>
         console.error = (...args) => {
           const msg = args.map((x) => String(x)).join(" ");
           if (isTargetError(msg)) {
+            logSuppressed("console.error", msg, new Error().stack || "");
             notify(buildJsErrorDetail("console.error", msg));
             return;
           }
@@ -1656,6 +1666,17 @@ <h1>Matplotlib GUI</h1>
     return ("parentNode" in text) or ("NoneType" in text and "parentNode" in text)
 
 
+def _log_suppressed(where: str, exc) -> None:
+    try:
+        from js import console
+        if False:
+            console.warn("[mplgui] suppressed parentNode error:", where, str(exc), traceback.format_exc())
+        else:
+            console.warn("[mplgui] suppressed parentNode error:", where, str(exc))
+    except Exception:
+        pass
+
+
 def _safe_close_figure(fig) -> None:
     if fig is None:
         return
@@ -1664,6 +1685,7 @@ <h1>Matplotlib GUI</h1>
     except Exception as exc:
         # Pyodide/ブラウザ描画バックエンドの後処理競合は無視する
         if _is_parentnode_error(exc):
+            _log_suppressed("_safe_close_figure", exc)
             return
         raise
 
@@ -1703,6 +1725,7 @@ <h1>Matplotlib GUI</h1>
             finished_task.result()
         except Exception as exc:
             if _is_parentnode_error(exc):
+                _log_suppressed("_spawn_task", exc)
                 try:
                     if _has_rendered_plot():
                         set_status("描画に成功しました。")
@@ -2519,6 +2542,7 @@ <h1>Matplotlib GUI</h1>
         CURRENT_DF = None
         _set_data_ready(False)
         if _is_parentnode_error(exc):
+            _log_suppressed("on_load_columns", exc)
             detail = _format_internal_error_detail(exc, "on_load_columns")
             set_status("内部エラーを自動回避しました。もう一度同じ操作を実行してください。", True, detail)
             return
@@ -2833,6 +2857,7 @@ <h1>Matplotlib GUI</h1>
         set_status(f"描画に成功しました（{plotted_count}系列、スキップ{skip_rows}行）。")
     except Exception as exc:
         if _is_parentnode_error(exc):
+            _log_suppressed("on_render", exc)
             if _has_rendered_plot():
                 set_status("描画に成功しました。")
             else:
@@ -2867,6 +2892,7 @@ <h1>Matplotlib GUI</h1>
         set_status(f"描画データを保存しました: {filename}")
     except Exception as exc:
         if _is_parentnode_error(exc):
+            _log_suppressed("on_save_plot", exc)
             detail = _format_internal_error_detail(exc, "on_save_plot")
             set_status("内部エラーを自動回避しました。もう一度保存を実行してください。", True, detail)
             return
@@ -2925,6 +2951,7 @@ <h1>Matplotlib GUI</h1>
     _bind_events()
 except Exception as exc:
     if _is_parentnode_error(exc):
+        _log_suppressed("initialization", exc)
         detail = _format_internal_error_detail(exc, "initialization")
         set_status("内部エラーを自動回避しました。ページを再読み込みして再試行してください。", True, detail)
     else:

From 8f0f995234875b393463929878349cd6e8994e8f Mon Sep 17 00:00:00 2001
From: mioupa <mioupa.org@gmail.com>
Date: Wed, 7 Oct 2026 17:53:25 +0900
Subject: [PATCH 09/37] Record performance after PyScript migration

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---
 docs/PERFORMANCE.md | 20 ++++++++++++++++++++
 1 file changed, 20 insertions(+)

diff --git a/docs/PERFORMANCE.md b/docs/PERFORMANCE.md
index 2e28a8d..a767702 100644
--- a/docs/PERFORMANCE.md
+++ b/docs/PERFORMANCE.md
@@ -41,6 +41,26 @@
 
 備考: コールド起動の最大値 6,003 は1回目の反復のみ（CDN 側／OS 側のキャッシュが冷えていたため）で、2回目以降は約3.4秒。
 
+## PyScript 2026.7.3 移行直後
+
+計測条件はベースラインと同じ（同一マシン・Chromium 153.0.8010.12・実ネットワーク・N=5）。
+対象コミット: `30aee0d`（PyScript 2026.7.3 / Pyodide 314.0.3 = Python 3.14.2、pandas 3.0.2、matplotlib 3.10.8、`pyscript.toml` 使用）。
+計測日: 2026-10-07。
+
+| 項目 | 中央値 | 最小 | 最大 | ベースライン中央値 | 比 |
+|---|---:|---:|---:|---:|---:|
+| コールド起動 | 4,076 | 4,015 | 6,420 | 3,424 | +19% |
+| ウォーム起動 | 3,623 | 3,573 | 3,726 | 2,881 | +26% |
+| 初回ファイル読込 → 最初のプロット | 422 | 389 | 435 | 417 | +1% |
+| 設定変更 → プロット更新（デバウンス込み） | 556 | 550 | 566 | 413 | +35% |
+| 同上（デバウンス 250ms 除く） | 306 | 300 | 316 | 163 | +88% |
+| 保存（PNG、クリック → ダウンロード開始） | 330 | 323 | 349 | 206 | +60% |
+
+備考:
+- 起動・再描画・保存のいずれも悪化した。起動時間は要件（8章: F6 の現状値より悪くしない）を満たしていないため、後続フェーズでの改善対象（フォント取得の遅延、キャッシュ、描画の無駄の削減など）とする。
+- 再描画の増加は、matplotlib 3.5.2 → 3.10.8 と Python 3.12 → 3.14、pandas 2 → 3 の差によるとみられる（未切り分け）。
+- 起動時のコンソールエラー `Failed to load resource: net::ERR_INVALID_URL` は移行前の `<py-script>` が原因だった。`<py-script>` の中身が HTML としてパースされ、Python 文字列中の `<img alt="plot" src="data:image/png;base64,{encoded}" />` が実際の `<img>` 要素になり、src が不正な URL として読み込まれていた。`<script type="py">` では中身が HTML として解釈されず、移行後は発生しない（旧版には「`<script type="py">` を使うように」という PyScript の非推奨警告も出ていた）。
+
 ## Phase 1 後
 
 （Phase 1 完了後に同じスクリプトで計測し、ここに記入する）

From dbe2eb5991a96be43deb7d268f7e7c71e6c6e4d5 Mon Sep 17 00:00:00 2001
From: mioupa <mioupa.org@gmail.com>
Date: Wed, 7 Oct 2026 18:05:55 +0900
Subject: [PATCH 10/37] Split CSS, JS and Python out of index.html

index.html is now markup only. JS becomes ES modules under js/ (functions the
Python side calls are exposed on window), Python moves to py/main.py plus a
DOM-free mplgui package (loader, runner, fonts) mapped via pyscript.toml [files].

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---
 css/style.css         |  582 +++++++++
 index.html            | 2678 +----------------------------------------
 js/bridge.js          |   52 +
 js/main.js            |   75 ++
 js/ui/colorPicker.js  |  105 ++
 js/ui/customCode.js   |   41 +
 js/ui/notify.js       |   96 ++
 js/ui/saveFormat.js   |   34 +
 js/ui/series.js       |  280 +++++
 py/main.py            | 1342 +++++++++++++++++++++
 py/mplgui/__init__.py |    1 +
 py/mplgui/fonts.py    |   31 +
 py/mplgui/loader.py   |   55 +
 py/mplgui/runner.py   |   53 +
 pyscript.toml         |    8 +
 15 files changed, 2758 insertions(+), 2675 deletions(-)
 create mode 100644 css/style.css
 create mode 100644 js/bridge.js
 create mode 100644 js/main.js
 create mode 100644 js/ui/colorPicker.js
 create mode 100644 js/ui/customCode.js
 create mode 100644 js/ui/notify.js
 create mode 100644 js/ui/saveFormat.js
 create mode 100644 js/ui/series.js
 create mode 100644 py/main.py
 create mode 100644 py/mplgui/__init__.py
 create mode 100644 py/mplgui/fonts.py
 create mode 100644 py/mplgui/loader.py
 create mode 100644 py/mplgui/runner.py

diff --git a/css/style.css b/css/style.css
new file mode 100644
index 0000000..f30b84e
--- /dev/null
+++ b/css/style.css
@@ -0,0 +1,582 @@
+:root {
+  color-scheme: light;
+  --bg: #eff1f5;
+  --bg-gradient-start: #dce0e8;
+  --bg-gradient-end: #eff1f5;
+  --card: #eff1f5;
+  --surface: #e6e9ef;
+  --line: #bcc0cc;
+  --line-soft: #ccd0da;
+  --text: #4c4f69;
+  --text-muted: #5c5f77;
+  --accent: #1e66f5;
+  --accent-contrast: #ffffff;
+  --button-primary: #1e66f5;
+  --button-primary-hover: #7287fd;
+  --button-secondary: #179299;
+  --button-secondary-hover: #209fb5;
+  --button-ghost: #7c7f93;
+  --button-ghost-hover: #6c6f85;
+  --button-reset: #d20f39;
+  --button-reset-hover: #e64553;
+  --button-text: #ffffff;
+  --checkbox-size: 20px;
+  --file-button-bg: #4c4f69;
+  --file-button-text: #ffffff;
+  --color-border: #bcc0cc;
+  --swatch-border: #8c8fa1;
+  --error-border: #d20f39;
+  --error-bg: rgba(210, 15, 57, 0.08);
+  --error-text: #d20f39;
+  --status-ok: #4c4f69;
+  --status-error: #d20f39;
+  --table-header-bg: #e6e9ef;
+  --table-skipped-bg: #dce0e8;
+  --table-skipped-text: #6c6f85;
+  --table-rownum-bg: #e6e9ef;
+  --table-rownum-text: #6c6f85;
+  --series-item-bg: #e6e9ef;
+  --chip-border: #bcc0cc;
+  --chip-active: #1e66f5;
+  --chip-active-ring: rgba(30, 102, 245, 0.16);
+  --plot-preview-bg: #e6e9ef;
+  --shadow-lg: 0 10px 24px rgba(92, 95, 119, 0.16);
+}
+@media (prefers-color-scheme: dark) {
+  :root {
+    color-scheme: dark;
+    --bg: #1e1e2e;
+    --bg-gradient-start: #11111b;
+    --bg-gradient-end: #1e1e2e;
+    --card: #181825;
+    --surface: #313244;
+    --line: #45475a;
+    --line-soft: #585b70;
+    --text: #cdd6f4;
+    --text-muted: #bac2de;
+    --accent: #89b4fa;
+    --accent-contrast: #1e1e2e;
+    --button-primary: #89b4fa;
+    --button-primary-hover: #b4befe;
+    --button-secondary: #94e2d5;
+    --button-secondary-hover: #74c7ec;
+    --button-ghost: #9399b2;
+    --button-ghost-hover: #bac2de;
+    --button-reset: #f38ba8;
+    --button-reset-hover: #eba0ac;
+    --button-text: #1e1e2e;
+    --file-button-bg: #45475a;
+    --file-button-text: #cdd6f4;
+    --color-border: #585b70;
+    --swatch-border: #9399b2;
+    --error-border: #f38ba8;
+    --error-bg: rgba(243, 139, 168, 0.14);
+    --error-text: #f5c2e7;
+    --status-ok: #cdd6f4;
+    --status-error: #f38ba8;
+    --table-header-bg: #313244;
+    --table-skipped-bg: #181825;
+    --table-skipped-text: #a6adc8;
+    --table-rownum-bg: #313244;
+    --table-rownum-text: #a6adc8;
+    --series-item-bg: #313244;
+    --chip-border: #585b70;
+    --chip-active: #89b4fa;
+    --chip-active-ring: rgba(137, 180, 250, 0.22);
+    --plot-preview-bg: #181825;
+    --shadow-lg: 0 12px 28px rgba(17, 17, 27, 0.48);
+  }
+}
+* {
+  box-sizing: border-box;
+}
+html,
+body {
+  height: 100%;
+}
+body {
+  margin: 0;
+  color: var(--text);
+  font-family: "Noto Sans JP", "Hiragino Sans", "Yu Gothic", sans-serif;
+  background: linear-gradient(180deg, var(--bg-gradient-start) 0%, var(--bg-gradient-end) 100%);
+  overflow: hidden;
+}
+.layout {
+  display: grid;
+  grid-template-columns: 360px 1fr;
+  height: 100vh;
+  min-height: 100vh;
+}
+.panel {
+  padding: 20px;
+  background: var(--card);
+  border-right: 1px solid var(--line);
+  max-height: 100vh;
+  overflow-y: auto;
+  overscroll-behavior: contain;
+}
+.viewer {
+  display: flex;
+  flex-direction: column;
+  padding: 20px;
+  min-height: 0;
+  overflow: hidden;
+}
+h1 {
+  margin: 0 0 16px;
+  font-size: 20px;
+}
+.group {
+  margin-bottom: 12px;
+}
+.row {
+  display: grid;
+  grid-template-columns: 1fr 1fr;
+  gap: 8px;
+}
+label {
+  display: block;
+  margin-bottom: 6px;
+  font-size: 13px;
+  font-weight: 600;
+}
+input,
+select,
+button {
+  width: 100%;
+  padding: 9px 10px;
+  border-radius: 8px;
+  border: 1px solid var(--line);
+  font-size: 14px;
+  background: var(--card);
+  color: var(--text);
+}
+input[type="file"] {
+  padding: 6px;
+  background: var(--surface);
+}
+input[type="file"]::file-selector-button {
+  border: none;
+  border-radius: 6px;
+  padding: 8px 12px;
+  margin-right: 10px;
+  background: var(--file-button-bg);
+  color: var(--file-button-text);
+  font-weight: 700;
+  cursor: pointer;
+}
+input[type="file"]::-webkit-file-upload-button {
+  border: none;
+  border-radius: 6px;
+  padding: 8px 12px;
+  margin-right: 10px;
+  background: var(--file-button-bg);
+  color: var(--file-button-text);
+  font-weight: 700;
+  cursor: pointer;
+}
+input[type="color"] {
+  height: 42px;
+  padding: 2px;
+  border: 2px solid var(--color-border);
+  border-radius: 10px;
+  background: var(--card);
+}
+input[type="color"]::-webkit-color-swatch-wrapper {
+  padding: 0;
+}
+input[type="color"]::-webkit-color-swatch {
+  border: none;
+  border-radius: 7px;
+}
+input[type="color"]::-moz-color-swatch {
+  border: none;
+  border-radius: 7px;
+}
+.color-value {
+  margin-top: 6px;
+  font-family: ui-monospace, SFMono-Regular, Menlo, Consolas, monospace;
+  font-size: 12px;
+  color: var(--text-muted);
+}
+.inline {
+  display: flex;
+  align-items: center;
+  gap: 10px;
+  font-size: 13px;
+}
+input[type="checkbox"] {
+  width: var(--checkbox-size);
+  height: var(--checkbox-size);
+  margin: 0;
+  flex: 0 0 var(--checkbox-size);
+  cursor: pointer;
+  accent-color: var(--accent);
+}
+.inline input {
+  width: auto;
+}
+.inline label {
+  margin: 0;
+  font-weight: 500;
+  cursor: pointer;
+  user-select: none;
+  padding: 4px 2px;
+}
+label.check-label {
+  display: inline-flex;
+  align-items: center;
+  gap: 10px;
+  width: auto;
+}
+button {
+  cursor: pointer;
+  border: none;
+  color: var(--button-text);
+  background: var(--button-primary);
+  font-weight: 700;
+  transition: background-color 0.15s ease;
+}
+button:disabled {
+  cursor: not-allowed;
+  opacity: 0.6;
+}
+button.secondary {
+  background: var(--button-secondary);
+}
+button.secondary:hover {
+  background: var(--button-secondary-hover);
+}
+.status {
+  margin-top: 10px;
+  min-height: 22px;
+  font-size: 13px;
+}
+.status-detail-wrap {
+  margin-top: 8px;
+  border: 1px solid var(--error-border);
+  border-radius: 8px;
+  background: var(--error-bg);
+}
+.status-detail-wrap.hidden {
+  display: none;
+}
+.status-detail-wrap summary {
+  padding: 8px 10px;
+  cursor: pointer;
+  font-size: 12px;
+  font-weight: 700;
+  color: var(--error-text);
+}
+.status-detail {
+  margin: 0;
+  padding: 0 10px 10px;
+  white-space: pre-wrap;
+  word-break: break-word;
+  font-size: 12px;
+  line-height: 1.45;
+  color: var(--error-text);
+}
+.canvas-wrap {
+  background: var(--card);
+  border: 1px solid var(--line);
+  border-radius: 12px;
+  padding: 12px;
+  min-height: 420px;
+}
+.tabs {
+  display: flex;
+  gap: 8px;
+  margin-bottom: 10px;
+}
+.tab-btn {
+  width: auto;
+  min-width: 120px;
+  padding: 8px 12px;
+  border: 1px solid var(--line);
+  border-radius: 999px;
+  background: var(--card);
+  color: var(--text);
+  font-weight: 700;
+  cursor: pointer;
+}
+.tab-btn.active {
+  background: var(--accent);
+  color: var(--accent-contrast);
+  border-color: var(--accent);
+}
+.tab-panel.hidden {
+  display: none;
+}
+.viewer .tab-panel {
+  flex: 1;
+  min-height: 0;
+}
+#plotArea {
+  width: 100%;
+  background: var(--plot-preview-bg);
+  border: 1px solid var(--line-soft);
+  border-radius: 10px;
+  padding: 8px;
+}
+#dataArea {
+  display: flex;
+  flex-direction: column;
+  height: 100%;
+  min-height: 0;
+}
+#plotArea img,
+#plotArea svg,
+#plotArea canvas {
+  max-width: 100%;
+  height: auto;
+}
+.table-wrap {
+  width: 100%;
+  overflow: auto;
+  max-height: none;
+  min-height: 0;
+  flex: 1;
+  background: var(--card);
+  border: 1px solid var(--line);
+  border-radius: 10px;
+}
+.table-wrap table {
+  border-collapse: collapse;
+  width: 100%;
+  font-size: 13px;
+}
+.table-wrap th,
+.table-wrap td {
+  border: 1px solid var(--line-soft);
+  padding: 6px 8px;
+  white-space: nowrap;
+  text-align: left;
+}
+.table-wrap thead th {
+  position: sticky;
+  top: 0;
+  background: var(--table-header-bg);
+  z-index: 1;
+}
+.table-wrap tbody tr.skipped-row td {
+  background: var(--table-skipped-bg);
+  color: var(--table-skipped-text);
+}
+.table-wrap .row-number {
+  background: var(--table-rownum-bg);
+  color: var(--table-rownum-text);
+  text-align: right;
+  width: 68px;
+}
+.data-meta {
+  margin-bottom: 8px;
+  font-size: 13px;
+}
+.code-editor-wrap {
+  display: flex;
+  flex-direction: column;
+  gap: 10px;
+  height: 100%;
+  min-height: 0;
+}
+.code-toolbar {
+  display: flex;
+  align-items: center;
+  flex-wrap: wrap;
+  gap: 8px;
+}
+.code-toolbar .inline {
+  margin-right: auto;
+}
+.code-toolbar button {
+  width: auto;
+}
+#customPyCode {
+  width: 100%;
+  height: 100%;
+  min-height: 360px;
+  resize: vertical;
+  border: 1px solid var(--line);
+  border-radius: 10px;
+  padding: 12px;
+  background: var(--surface);
+  color: var(--text);
+  font-family: ui-monospace, SFMono-Regular, Menlo, Consolas, monospace;
+  font-size: 13px;
+  line-height: 1.5;
+}
+.help-text {
+  margin-top: 6px;
+  font-size: 12px;
+  color: var(--text-muted);
+}
+.section-header {
+  margin: 14px 0 10px;
+  padding-top: 10px;
+  border-top: 1px solid var(--line);
+}
+.section-header:first-of-type {
+  margin-top: 4px;
+  padding-top: 0;
+  border-top: none;
+}
+.section-title {
+  font-size: 12px;
+  font-weight: 700;
+  letter-spacing: 0.06em;
+  color: var(--text-muted);
+}
+.series-toolbar {
+  display: flex;
+  align-items: center;
+  justify-content: space-between;
+  gap: 8px;
+  margin-bottom: 8px;
+}
+.series-toolbar label {
+  margin: 0;
+}
+button.small-btn {
+  width: auto;
+  padding: 7px 10px;
+  font-size: 12px;
+}
+button.ghost-btn {
+  background: var(--button-ghost);
+}
+button.ghost-btn:hover {
+  background: var(--button-ghost-hover);
+}
+#applyCustomCodeBtn {
+  background: var(--button-secondary);
+}
+#applyCustomCodeBtn:hover {
+  background: var(--button-secondary-hover);
+}
+#resetCustomCodeBtn {
+  background: var(--button-reset);
+}
+#resetCustomCodeBtn:hover {
+  background: var(--button-reset-hover);
+}
+.series-list {
+  display: flex;
+  flex-direction: column;
+  gap: 10px;
+}
+.series-item {
+  border: 1px solid var(--line);
+  border-radius: 10px;
+  padding: 10px;
+  background: var(--series-item-bg);
+}
+.series-item-header {
+  display: flex;
+  align-items: center;
+  justify-content: space-between;
+  gap: 8px;
+  margin-bottom: 8px;
+}
+.series-item-title {
+  font-size: 13px;
+  font-weight: 700;
+}
+.series-item .group {
+  margin-bottom: 8px;
+}
+.series-item .group:last-child {
+  margin-bottom: 0;
+}
+.series-color-picker {
+  position: relative;
+}
+.series-color-trigger {
+  display: flex;
+  align-items: center;
+  gap: 8px;
+  width: 100%;
+  padding: 8px 10px;
+  border: 1px solid var(--line);
+  border-radius: 8px;
+  background: var(--card);
+  color: var(--text);
+  font-weight: 600;
+}
+.series-color-swatch-inline {
+  width: 16px;
+  height: 16px;
+  border-radius: 4px;
+  border: 1px solid var(--swatch-border);
+  flex: 0 0 auto;
+}
+.series-color-panel {
+  position: absolute;
+  top: calc(100% + 6px);
+  left: 0;
+  z-index: 30;
+  min-width: 244px;
+  padding: 8px;
+  border: 1px solid var(--line);
+  border-radius: 8px;
+  background: var(--card);
+  box-shadow: var(--shadow-lg);
+}
+.series-color-panel.hidden {
+  display: none;
+}
+.series-color-grid {
+  display: grid;
+  grid-template-columns: repeat(6, 30px);
+  gap: 6px;
+  justify-content: start;
+}
+button.series-color-chip {
+  width: 30px;
+  height: 30px;
+  padding: 0;
+  border: 2px solid var(--chip-border);
+  border-radius: 6px;
+  color: transparent;
+}
+button.series-color-chip.active {
+  border-color: var(--chip-active);
+  box-shadow: 0 0 0 2px var(--chip-active-ring);
+}
+.series-color-custom-toggle {
+  margin-top: 8px;
+}
+.series-color-custom.hidden {
+  display: none;
+}
+.series-x-wrap {
+  display: none;
+}
+@media (max-width: 960px) {
+  body {
+    overflow: auto;
+  }
+  .layout {
+    grid-template-columns: 1fr;
+    height: auto;
+  }
+  .panel {
+    border-right: none;
+    border-bottom: 1px solid var(--line);
+    max-height: none;
+    overflow: visible;
+    overscroll-behavior: auto;
+  }
+  .viewer {
+    display: block;
+    overflow: visible;
+  }
+  #dataArea {
+    display: block;
+    height: auto;
+  }
+  .table-wrap {
+    max-height: 520px;
+    flex: none;
+  }
+}
diff --git a/index.html b/index.html
index 79161ea..64b89ba 100644
--- a/index.html
+++ b/index.html
@@ -9,591 +9,9 @@
     <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin />
     <link href="https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;500;700&display=swap" rel="stylesheet" />
     <link rel="stylesheet" href="https://pyscript.net/releases/2026.7.3/core.css" />
+    <link rel="stylesheet" href="css/style.css" />
+    <script type="module" src="./js/main.js"></script>
     <script type="module" src="https://pyscript.net/releases/2026.7.3/core.js"></script>
-    <style>
-      :root {
-        color-scheme: light;
-        --bg: #eff1f5;
-        --bg-gradient-start: #dce0e8;
-        --bg-gradient-end: #eff1f5;
-        --card: #eff1f5;
-        --surface: #e6e9ef;
-        --line: #bcc0cc;
-        --line-soft: #ccd0da;
-        --text: #4c4f69;
-        --text-muted: #5c5f77;
-        --accent: #1e66f5;
-        --accent-contrast: #ffffff;
-        --button-primary: #1e66f5;
-        --button-primary-hover: #7287fd;
-        --button-secondary: #179299;
-        --button-secondary-hover: #209fb5;
-        --button-ghost: #7c7f93;
-        --button-ghost-hover: #6c6f85;
-        --button-reset: #d20f39;
-        --button-reset-hover: #e64553;
-        --button-text: #ffffff;
-        --checkbox-size: 20px;
-        --file-button-bg: #4c4f69;
-        --file-button-text: #ffffff;
-        --color-border: #bcc0cc;
-        --swatch-border: #8c8fa1;
-        --error-border: #d20f39;
-        --error-bg: rgba(210, 15, 57, 0.08);
-        --error-text: #d20f39;
-        --status-ok: #4c4f69;
-        --status-error: #d20f39;
-        --table-header-bg: #e6e9ef;
-        --table-skipped-bg: #dce0e8;
-        --table-skipped-text: #6c6f85;
-        --table-rownum-bg: #e6e9ef;
-        --table-rownum-text: #6c6f85;
-        --series-item-bg: #e6e9ef;
-        --chip-border: #bcc0cc;
-        --chip-active: #1e66f5;
-        --chip-active-ring: rgba(30, 102, 245, 0.16);
-        --plot-preview-bg: #e6e9ef;
-        --shadow-lg: 0 10px 24px rgba(92, 95, 119, 0.16);
-      }
-      @media (prefers-color-scheme: dark) {
-        :root {
-          color-scheme: dark;
-          --bg: #1e1e2e;
-          --bg-gradient-start: #11111b;
-          --bg-gradient-end: #1e1e2e;
-          --card: #181825;
-          --surface: #313244;
-          --line: #45475a;
-          --line-soft: #585b70;
-          --text: #cdd6f4;
-          --text-muted: #bac2de;
-          --accent: #89b4fa;
-          --accent-contrast: #1e1e2e;
-          --button-primary: #89b4fa;
-          --button-primary-hover: #b4befe;
-          --button-secondary: #94e2d5;
-          --button-secondary-hover: #74c7ec;
-          --button-ghost: #9399b2;
-          --button-ghost-hover: #bac2de;
-          --button-reset: #f38ba8;
-          --button-reset-hover: #eba0ac;
-          --button-text: #1e1e2e;
-          --file-button-bg: #45475a;
-          --file-button-text: #cdd6f4;
-          --color-border: #585b70;
-          --swatch-border: #9399b2;
-          --error-border: #f38ba8;
-          --error-bg: rgba(243, 139, 168, 0.14);
-          --error-text: #f5c2e7;
-          --status-ok: #cdd6f4;
-          --status-error: #f38ba8;
-          --table-header-bg: #313244;
-          --table-skipped-bg: #181825;
-          --table-skipped-text: #a6adc8;
-          --table-rownum-bg: #313244;
-          --table-rownum-text: #a6adc8;
-          --series-item-bg: #313244;
-          --chip-border: #585b70;
-          --chip-active: #89b4fa;
-          --chip-active-ring: rgba(137, 180, 250, 0.22);
-          --plot-preview-bg: #181825;
-          --shadow-lg: 0 12px 28px rgba(17, 17, 27, 0.48);
-        }
-      }
-      * {
-        box-sizing: border-box;
-      }
-      html,
-      body {
-        height: 100%;
-      }
-      body {
-        margin: 0;
-        color: var(--text);
-        font-family: "Noto Sans JP", "Hiragino Sans", "Yu Gothic", sans-serif;
-        background: linear-gradient(180deg, var(--bg-gradient-start) 0%, var(--bg-gradient-end) 100%);
-        overflow: hidden;
-      }
-      .layout {
-        display: grid;
-        grid-template-columns: 360px 1fr;
-        height: 100vh;
-        min-height: 100vh;
-      }
-      .panel {
-        padding: 20px;
-        background: var(--card);
-        border-right: 1px solid var(--line);
-        max-height: 100vh;
-        overflow-y: auto;
-        overscroll-behavior: contain;
-      }
-      .viewer {
-        display: flex;
-        flex-direction: column;
-        padding: 20px;
-        min-height: 0;
-        overflow: hidden;
-      }
-      h1 {
-        margin: 0 0 16px;
-        font-size: 20px;
-      }
-      .group {
-        margin-bottom: 12px;
-      }
-      .row {
-        display: grid;
-        grid-template-columns: 1fr 1fr;
-        gap: 8px;
-      }
-      label {
-        display: block;
-        margin-bottom: 6px;
-        font-size: 13px;
-        font-weight: 600;
-      }
-      input,
-      select,
-      button {
-        width: 100%;
-        padding: 9px 10px;
-        border-radius: 8px;
-        border: 1px solid var(--line);
-        font-size: 14px;
-        background: var(--card);
-        color: var(--text);
-      }
-      input[type="file"] {
-        padding: 6px;
-        background: var(--surface);
-      }
-      input[type="file"]::file-selector-button {
-        border: none;
-        border-radius: 6px;
-        padding: 8px 12px;
-        margin-right: 10px;
-        background: var(--file-button-bg);
-        color: var(--file-button-text);
-        font-weight: 700;
-        cursor: pointer;
-      }
-      input[type="file"]::-webkit-file-upload-button {
-        border: none;
-        border-radius: 6px;
-        padding: 8px 12px;
-        margin-right: 10px;
-        background: var(--file-button-bg);
-        color: var(--file-button-text);
-        font-weight: 700;
-        cursor: pointer;
-      }
-      input[type="color"] {
-        height: 42px;
-        padding: 2px;
-        border: 2px solid var(--color-border);
-        border-radius: 10px;
-        background: var(--card);
-      }
-      input[type="color"]::-webkit-color-swatch-wrapper {
-        padding: 0;
-      }
-      input[type="color"]::-webkit-color-swatch {
-        border: none;
-        border-radius: 7px;
-      }
-      input[type="color"]::-moz-color-swatch {
-        border: none;
-        border-radius: 7px;
-      }
-      .color-value {
-        margin-top: 6px;
-        font-family: ui-monospace, SFMono-Regular, Menlo, Consolas, monospace;
-        font-size: 12px;
-        color: var(--text-muted);
-      }
-      .inline {
-        display: flex;
-        align-items: center;
-        gap: 10px;
-        font-size: 13px;
-      }
-      input[type="checkbox"] {
-        width: var(--checkbox-size);
-        height: var(--checkbox-size);
-        margin: 0;
-        flex: 0 0 var(--checkbox-size);
-        cursor: pointer;
-        accent-color: var(--accent);
-      }
-      .inline input {
-        width: auto;
-      }
-      .inline label {
-        margin: 0;
-        font-weight: 500;
-        cursor: pointer;
-        user-select: none;
-        padding: 4px 2px;
-      }
-      label.check-label {
-        display: inline-flex;
-        align-items: center;
-        gap: 10px;
-        width: auto;
-      }
-      button {
-        cursor: pointer;
-        border: none;
-        color: var(--button-text);
-        background: var(--button-primary);
-        font-weight: 700;
-        transition: background-color 0.15s ease;
-      }
-      button:disabled {
-        cursor: not-allowed;
-        opacity: 0.6;
-      }
-      button.secondary {
-        background: var(--button-secondary);
-      }
-      button.secondary:hover {
-        background: var(--button-secondary-hover);
-      }
-      .status {
-        margin-top: 10px;
-        min-height: 22px;
-        font-size: 13px;
-      }
-      .status-detail-wrap {
-        margin-top: 8px;
-        border: 1px solid var(--error-border);
-        border-radius: 8px;
-        background: var(--error-bg);
-      }
-      .status-detail-wrap.hidden {
-        display: none;
-      }
-      .status-detail-wrap summary {
-        padding: 8px 10px;
-        cursor: pointer;
-        font-size: 12px;
-        font-weight: 700;
-        color: var(--error-text);
-      }
-      .status-detail {
-        margin: 0;
-        padding: 0 10px 10px;
-        white-space: pre-wrap;
-        word-break: break-word;
-        font-size: 12px;
-        line-height: 1.45;
-        color: var(--error-text);
-      }
-      .canvas-wrap {
-        background: var(--card);
-        border: 1px solid var(--line);
-        border-radius: 12px;
-        padding: 12px;
-        min-height: 420px;
-      }
-      .tabs {
-        display: flex;
-        gap: 8px;
-        margin-bottom: 10px;
-      }
-      .tab-btn {
-        width: auto;
-        min-width: 120px;
-        padding: 8px 12px;
-        border: 1px solid var(--line);
-        border-radius: 999px;
-        background: var(--card);
-        color: var(--text);
-        font-weight: 700;
-        cursor: pointer;
-      }
-      .tab-btn.active {
-        background: var(--accent);
-        color: var(--accent-contrast);
-        border-color: var(--accent);
-      }
-      .tab-panel.hidden {
-        display: none;
-      }
-      .viewer .tab-panel {
-        flex: 1;
-        min-height: 0;
-      }
-      #plotArea {
-        width: 100%;
-        background: var(--plot-preview-bg);
-        border: 1px solid var(--line-soft);
-        border-radius: 10px;
-        padding: 8px;
-      }
-      #dataArea {
-        display: flex;
-        flex-direction: column;
-        height: 100%;
-        min-height: 0;
-      }
-      #plotArea img,
-      #plotArea svg,
-      #plotArea canvas {
-        max-width: 100%;
-        height: auto;
-      }
-      .table-wrap {
-        width: 100%;
-        overflow: auto;
-        max-height: none;
-        min-height: 0;
-        flex: 1;
-        background: var(--card);
-        border: 1px solid var(--line);
-        border-radius: 10px;
-      }
-      .table-wrap table {
-        border-collapse: collapse;
-        width: 100%;
-        font-size: 13px;
-      }
-      .table-wrap th,
-      .table-wrap td {
-        border: 1px solid var(--line-soft);
-        padding: 6px 8px;
-        white-space: nowrap;
-        text-align: left;
-      }
-      .table-wrap thead th {
-        position: sticky;
-        top: 0;
-        background: var(--table-header-bg);
-        z-index: 1;
-      }
-      .table-wrap tbody tr.skipped-row td {
-        background: var(--table-skipped-bg);
-        color: var(--table-skipped-text);
-      }
-      .table-wrap .row-number {
-        background: var(--table-rownum-bg);
-        color: var(--table-rownum-text);
-        text-align: right;
-        width: 68px;
-      }
-      .data-meta {
-        margin-bottom: 8px;
-        font-size: 13px;
-      }
-      .code-editor-wrap {
-        display: flex;
-        flex-direction: column;
-        gap: 10px;
-        height: 100%;
-        min-height: 0;
-      }
-      .code-toolbar {
-        display: flex;
-        align-items: center;
-        flex-wrap: wrap;
-        gap: 8px;
-      }
-      .code-toolbar .inline {
-        margin-right: auto;
-      }
-      .code-toolbar button {
-        width: auto;
-      }
-      #customPyCode {
-        width: 100%;
-        height: 100%;
-        min-height: 360px;
-        resize: vertical;
-        border: 1px solid var(--line);
-        border-radius: 10px;
-        padding: 12px;
-        background: var(--surface);
-        color: var(--text);
-        font-family: ui-monospace, SFMono-Regular, Menlo, Consolas, monospace;
-        font-size: 13px;
-        line-height: 1.5;
-      }
-      .help-text {
-        margin-top: 6px;
-        font-size: 12px;
-        color: var(--text-muted);
-      }
-      .section-header {
-        margin: 14px 0 10px;
-        padding-top: 10px;
-        border-top: 1px solid var(--line);
-      }
-      .section-header:first-of-type {
-        margin-top: 4px;
-        padding-top: 0;
-        border-top: none;
-      }
-      .section-title {
-        font-size: 12px;
-        font-weight: 700;
-        letter-spacing: 0.06em;
-        color: var(--text-muted);
-      }
-      .series-toolbar {
-        display: flex;
-        align-items: center;
-        justify-content: space-between;
-        gap: 8px;
-        margin-bottom: 8px;
-      }
-      .series-toolbar label {
-        margin: 0;
-      }
-      button.small-btn {
-        width: auto;
-        padding: 7px 10px;
-        font-size: 12px;
-      }
-      button.ghost-btn {
-        background: var(--button-ghost);
-      }
-      button.ghost-btn:hover {
-        background: var(--button-ghost-hover);
-      }
-      #applyCustomCodeBtn {
-        background: var(--button-secondary);
-      }
-      #applyCustomCodeBtn:hover {
-        background: var(--button-secondary-hover);
-      }
-      #resetCustomCodeBtn {
-        background: var(--button-reset);
-      }
-      #resetCustomCodeBtn:hover {
-        background: var(--button-reset-hover);
-      }
-      .series-list {
-        display: flex;
-        flex-direction: column;
-        gap: 10px;
-      }
-      .series-item {
-        border: 1px solid var(--line);
-        border-radius: 10px;
-        padding: 10px;
-        background: var(--series-item-bg);
-      }
-      .series-item-header {
-        display: flex;
-        align-items: center;
-        justify-content: space-between;
-        gap: 8px;
-        margin-bottom: 8px;
-      }
-      .series-item-title {
-        font-size: 13px;
-        font-weight: 700;
-      }
-      .series-item .group {
-        margin-bottom: 8px;
-      }
-      .series-item .group:last-child {
-        margin-bottom: 0;
-      }
-      .series-color-picker {
-        position: relative;
-      }
-      .series-color-trigger {
-        display: flex;
-        align-items: center;
-        gap: 8px;
-        width: 100%;
-        padding: 8px 10px;
-        border: 1px solid var(--line);
-        border-radius: 8px;
-        background: var(--card);
-        color: var(--text);
-        font-weight: 600;
-      }
-      .series-color-swatch-inline {
-        width: 16px;
-        height: 16px;
-        border-radius: 4px;
-        border: 1px solid var(--swatch-border);
-        flex: 0 0 auto;
-      }
-      .series-color-panel {
-        position: absolute;
-        top: calc(100% + 6px);
-        left: 0;
-        z-index: 30;
-        min-width: 244px;
-        padding: 8px;
-        border: 1px solid var(--line);
-        border-radius: 8px;
-        background: var(--card);
-        box-shadow: var(--shadow-lg);
-      }
-      .series-color-panel.hidden {
-        display: none;
-      }
-      .series-color-grid {
-        display: grid;
-        grid-template-columns: repeat(6, 30px);
-        gap: 6px;
-        justify-content: start;
-      }
-      button.series-color-chip {
-        width: 30px;
-        height: 30px;
-        padding: 0;
-        border: 2px solid var(--chip-border);
-        border-radius: 6px;
-        color: transparent;
-      }
-      button.series-color-chip.active {
-        border-color: var(--chip-active);
-        box-shadow: 0 0 0 2px var(--chip-active-ring);
-      }
-      .series-color-custom-toggle {
-        margin-top: 8px;
-      }
-      .series-color-custom.hidden {
-        display: none;
-      }
-      .series-x-wrap {
-        display: none;
-      }
-      @media (max-width: 960px) {
-        body {
-          overflow: auto;
-        }
-        .layout {
-          grid-template-columns: 1fr;
-          height: auto;
-        }
-        .panel {
-          border-right: none;
-          border-bottom: 1px solid var(--line);
-          max-height: none;
-          overflow: visible;
-          overscroll-behavior: auto;
-        }
-        .viewer {
-          display: block;
-          overflow: visible;
-        }
-        #dataArea {
-          display: block;
-          height: auto;
-        }
-        .table-wrap {
-          max-height: 520px;
-          flex: none;
-        }
-      }
-    </style>
   </head>
   <body>
     <div class="layout">
@@ -866,2096 +284,6 @@ <h1>Matplotlib GUI</h1>
       </main>
     </div>
 
-    <script>
-      (() => {
-        const __warn = console.warn.bind(console);
-        const isTargetError = (msg) =>
-          typeof msg === "string" &&
-          (msg.includes("parentNode") || msg.includes("'NoneType' object has no attribute 'parentNode'"));
-
-        const logSuppressed = (where, msg, stack = "") => {
-          try {
-            __warn("[mplgui] suppressed parentNode error:", where, String(msg));
-          } catch (_) {}
-        };
-
-        const buildJsErrorDetail = (source, msg, stack = "", extras = []) => {
-          const lines = [`source: ${source}`];
-          if (msg) lines.push(`message: ${msg}`);
-          for (const extra of extras) {
-            if (extra) lines.push(extra);
-          }
-          const normalizedStack = typeof stack === "string" ? stack.trim() : "";
-          if (normalizedStack) {
-            lines.push("");
-            lines.push("stack:");
-            lines.push(normalizedStack);
-          }
-          return lines.join("\n");
-        };
-
-        const setStatus = (message, isError = false, detail = "") => {
-          const status = document.getElementById("status");
-          if (status) {
-            status.textContent = message || "";
-            status.style.color = isError ? "var(--status-error)" : "var(--status-ok)";
-          }
-
-          const detailWrap = document.getElementById("statusDetailWrap");
-          const detailEl = document.getElementById("statusDetail");
-          if (!detailWrap || !detailEl) return;
-          const normalized = typeof detail === "string" ? detail.trim() : "";
-          if (normalized) {
-            detailEl.textContent = normalized;
-            detailWrap.classList.remove("hidden");
-            detailWrap.open = true;
-          } else {
-            detailEl.textContent = "";
-            detailWrap.classList.add("hidden");
-            detailWrap.open = false;
-          }
-        };
-
-        const notify = (detail = "") => {
-          const plotArea = document.getElementById("plotArea");
-          const hasPlot = !!(plotArea && plotArea.querySelector("img"));
-          if (hasPlot) {
-            setStatus("描画に成功しました。");
-          } else {
-            setStatus("内部エラーを自動回避しました。もう一度操作してください。", true, detail);
-          }
-        };
-
-        window.addEventListener("error", (event) => {
-          const msg = event?.message || "";
-          if (isTargetError(msg)) {
-            event.preventDefault();
-            const stack = event?.error?.stack || "";
-            logSuppressed("window.error", msg, stack);
-            const extras = [
-              event?.filename ? `file: ${event.filename}` : "",
-              event?.lineno ? `line: ${event.lineno}` : "",
-              event?.colno ? `column: ${event.colno}` : "",
-            ];
-            notify(buildJsErrorDetail("window.error", msg, stack, extras));
-          }
-        });
-
-        window.addEventListener("unhandledrejection", (event) => {
-          const reason = event?.reason;
-          const msg = (reason && (reason.message || String(reason))) || "";
-          if (isTargetError(msg)) {
-            event.preventDefault();
-            const stack = reason?.stack || "";
-            logSuppressed("window.unhandledrejection", msg, stack);
-            notify(buildJsErrorDetail("window.unhandledrejection", msg, stack));
-          }
-        });
-
-        const originalConsoleError = console.error.bind(console);
-        console.error = (...args) => {
-          const msg = args.map((x) => String(x)).join(" ");
-          if (isTargetError(msg)) {
-            logSuppressed("console.error", msg, new Error().stack || "");
-            notify(buildJsErrorDetail("console.error", msg));
-            return;
-          }
-          originalConsoleError(...args);
-        };
-
-        window.__matplotDataReady = false;
-        window.setMatplotDataReady = (ready) => {
-          window.__matplotDataReady = !!ready;
-        };
-        window.downloadDataUri = (filename, dataUri) => {
-          if (!filename || !dataUri) return;
-          const link = document.createElement("a");
-          link.href = dataUri;
-          link.download = filename;
-          document.body.appendChild(link);
-          link.click();
-          link.remove();
-        };
-
-        const SERIES_COLORS = [
-          "#FF4B00",
-          "#005AFF",
-          "#03AF7A",
-          "#4DC4FF",
-          "#F6AA00",
-          "#FFF100",
-          "#990099",
-          "#84919E",
-          "#000000",
-          "#804000",
-          "#FF8082",
-        ];
-
-        const seriesList = document.getElementById("seriesList");
-        const addSeriesBtn = document.getElementById("addSeriesBtn");
-        const fileInput = document.getElementById("fileInput");
-        const delimiterInput = document.getElementById("delimiter");
-        const hasHeaderInput = document.getElementById("hasHeader");
-        const plotTypeSelect = document.getElementById("plotType");
-        const globalXGroup = document.getElementById("globalXGroup");
-        const xColumnSelect = document.getElementById("xColumn");
-        const y2LabelGroup = document.getElementById("y2LabelGroup");
-        const y2AxisSettingsGroup = document.getElementById("y2AxisSettingsGroup");
-        const saveFormatSelect = document.getElementById("saveFormat");
-        const saveTransparentInput = document.getElementById("saveTransparent");
-        const customCodeInput = document.getElementById("customPyCode");
-        const useCustomCodeInput = document.getElementById("useCustomCode");
-        const applyCustomCodeBtn = document.getElementById("applyCustomCodeBtn");
-        const resetCustomCodeBtn = document.getElementById("resetCustomCodeBtn");
-        let lastPlotType = plotTypeSelect ? plotTypeSelect.value : "line";
-
-        let renderTimer = null;
-        let loadTimer = null;
-
-        const hasSelectedFile = () => !!(fileInput && fileInput.files && fileInput.files.length > 0);
-        const canAutoRender = () => !!window.__matplotDataReady;
-        const runPyAction = (name) => {
-          const fn = window[name];
-          if (typeof fn === "function") {
-            fn();
-            return true;
-          }
-          return false;
-        };
-
-        const scheduleRender = (delay = 250) => {
-          if (renderTimer) window.clearTimeout(renderTimer);
-          renderTimer = window.setTimeout(() => {
-            renderTimer = null;
-            if (canAutoRender()) {
-              runPyAction("requestRender");
-            }
-          }, delay);
-        };
-
-        const scheduleLoad = (delay = 350) => {
-          if (!hasSelectedFile()) return;
-          if (loadTimer) window.clearTimeout(loadTimer);
-          loadTimer = window.setTimeout(() => {
-            loadTimer = null;
-            window.setMatplotDataReady(false);
-            runPyAction("requestLoadColumns");
-          }, delay);
-        };
-
-        const SAVE_FORMATS_ALL = ["png", "jpg", "svg", "pdf"];
-        const SAVE_FORMATS_TRANSPARENT = ["png", "svg"];
-        const syncSaveFormatOptions = () => {
-          if (!saveFormatSelect) return;
-          const allowTransparentOnly = !!(saveTransparentInput && saveTransparentInput.checked);
-          const formats = allowTransparentOnly ? SAVE_FORMATS_TRANSPARENT : SAVE_FORMATS_ALL;
-          const currentValue = (saveFormatSelect.value || "").toLowerCase();
-
-          saveFormatSelect.innerHTML = "";
-          for (const fmt of formats) {
-            const opt = document.createElement("option");
-            opt.value = fmt;
-            opt.textContent = fmt;
-            saveFormatSelect.appendChild(opt);
-          }
-
-          if (formats.includes(currentValue)) {
-            saveFormatSelect.value = currentValue;
-          } else {
-            saveFormatSelect.value = formats[0];
-          }
-        };
-
-        const getColumnOptions = (includeIndex = false) => {
-          const xColumn = document.getElementById("xColumn");
-          if (!xColumn) return [];
-          const options = [];
-          for (const opt of xColumn.options) {
-            if (!includeIndex && !opt.value) continue;
-            options.push({ value: opt.value, label: opt.textContent || opt.value });
-          }
-          return options;
-        };
-
-        const fillSeriesYSelect = (selectEl, selectedValue = "") => {
-          if (!selectEl) return;
-          const columns = getColumnOptions(false);
-          selectEl.innerHTML = "";
-
-          const autoOption = document.createElement("option");
-          autoOption.value = "";
-          autoOption.textContent = "(自動)";
-          selectEl.appendChild(autoOption);
-
-          for (const col of columns) {
-            const opt = document.createElement("option");
-            opt.value = col.value;
-            opt.textContent = col.label;
-            selectEl.appendChild(opt);
-          }
-
-          if (selectedValue && Array.from(selectEl.options).some((opt) => opt.value === selectedValue)) {
-            selectEl.value = selectedValue;
-          }
-        };
-
-        const fillSeriesXSelect = (selectEl, selectedValue = "") => {
-          if (!selectEl) return;
-          const columns = getColumnOptions(true);
-          selectEl.innerHTML = "";
-          for (const col of columns) {
-            const opt = document.createElement("option");
-            opt.value = col.value;
-            opt.textContent = col.label;
-            selectEl.appendChild(opt);
-          }
-          if (Array.from(selectEl.options).some((opt) => opt.value === selectedValue)) {
-            selectEl.value = selectedValue;
-          } else {
-            selectEl.value = "";
-          }
-        };
-
-        const bindSeriesColorControls = (item) => {
-          const trigger = item.querySelector(".series-color-trigger");
-          const panel = item.querySelector(".series-color-panel");
-          const grid = item.querySelector(".series-color-grid");
-          const customToggle = item.querySelector(".series-color-custom-toggle");
-          const colorInput = item.querySelector(".series-color");
-          const swatch = item.querySelector(".series-color-swatch-inline");
-          const valueLabel = item.querySelector(".series-color-value");
-          if (!trigger || !panel || !grid || !customToggle || !colorInput || !swatch || !valueLabel) return;
-
-          const closeAllColorPanels = (exceptPanel = null) => {
-            if (!seriesList) return;
-            const panels = seriesList.querySelectorAll(".series-color-panel");
-            for (const p of panels) {
-              if (exceptPanel && p === exceptPanel) continue;
-              p.classList.add("hidden");
-            }
-          };
-
-          const normalizeColor = (value) => String(value || "").trim().toUpperCase();
-
-          const syncSeriesColorView = () => {
-            const current = normalizeColor(colorInput.value);
-            swatch.style.backgroundColor = current || "#000000";
-            valueLabel.textContent = current || "#000000";
-
-            const isPaletteColor = SERIES_COLORS.some((c) => normalizeColor(c) === current);
-            colorInput.classList.toggle("hidden", isPaletteColor);
-            const chips = grid.querySelectorAll(".series-color-chip");
-            for (const chip of chips) {
-              const chipColor = normalizeColor(chip.dataset.color);
-              chip.classList.toggle("active", chipColor === current);
-            }
-          };
-
-          grid.innerHTML = "";
-          for (const color of SERIES_COLORS) {
-            const chip = document.createElement("button");
-            chip.type = "button";
-            chip.className = "series-color-chip";
-            chip.dataset.color = color;
-            chip.style.backgroundColor = color;
-            chip.title = color;
-            chip.addEventListener("click", () => {
-              colorInput.value = color;
-              syncSeriesColorView();
-              panel.classList.add("hidden");
-              scheduleRender();
-            });
-            grid.appendChild(chip);
-          }
-
-          trigger.addEventListener("click", () => {
-            const willOpen = panel.classList.contains("hidden");
-            closeAllColorPanels(panel);
-            panel.classList.toggle("hidden", !willOpen);
-          });
-
-          customToggle.addEventListener("click", () => {
-            colorInput.classList.remove("hidden");
-            if (typeof colorInput.showPicker === "function") {
-              colorInput.showPicker();
-            } else {
-              colorInput.click();
-            }
-          });
-
-          colorInput.addEventListener("input", () => {
-            syncSeriesColorView();
-          });
-
-          syncSeriesColorView();
-        };
-
-        const syncPlotTypeUI = () => {
-          const type = plotTypeSelect ? plotTypeSelect.value : "line";
-          const usePerSeriesX = type === "line" || type === "scatter";
-          if (globalXGroup) {
-            globalXGroup.style.display = usePerSeriesX ? "none" : "";
-          }
-          if (!seriesList) return;
-          const xGroups = seriesList.querySelectorAll(".series-x-wrap");
-          for (const group of xGroups) {
-            group.style.display = usePerSeriesX ? "block" : "none";
-          }
-        };
-
-        const syncMarkerSizeForPlotType = () => {
-          if (!seriesList || !plotTypeSelect) return;
-          const currentType = plotTypeSelect.value;
-          const markerInputs = seriesList.querySelectorAll(".series-marker-size");
-          if (currentType === "scatter") {
-            for (const input of markerInputs) {
-              const current = Number(input.value);
-              if (!Number.isFinite(current) || current <= 0) {
-                input.value = "24";
-              }
-            }
-          } else if (currentType === "line" && lastPlotType === "scatter") {
-            for (const input of markerInputs) {
-              const current = Number(input.value);
-              if (Number.isFinite(current) && current === 24) {
-                input.value = "0";
-              }
-            }
-          }
-          lastPlotType = currentType;
-        };
-
-        const syncY2LabelUI = () => {
-          if (!seriesList) return;
-          const hasSecondary = !!seriesList.querySelector(".series-use-y2:checked");
-          if (y2LabelGroup) {
-            y2LabelGroup.style.display = hasSecondary ? "" : "none";
-          }
-          if (y2AxisSettingsGroup) {
-            y2AxisSettingsGroup.style.display = hasSecondary ? "" : "none";
-          }
-        };
-
-        const renumberSeries = () => {
-          if (!seriesList) return;
-          const items = Array.from(seriesList.querySelectorAll(".series-item"));
-          items.forEach((item, idx) => {
-            const title = item.querySelector(".series-item-title");
-            if (title) title.textContent = `系列 ${idx + 1}`;
-          });
-          const disableRemove = items.length <= 1;
-          items.forEach((item) => {
-            const removeBtn = item.querySelector(".remove-series");
-            if (removeBtn) {
-              removeBtn.disabled = disableRemove;
-              removeBtn.style.opacity = disableRemove ? "0.5" : "1";
-              removeBtn.style.cursor = disableRemove ? "not-allowed" : "pointer";
-            }
-          });
-        };
-
-        const addSeriesItem = (preset = {}) => {
-          if (!seriesList) return;
-          const item = document.createElement("div");
-          item.className = "series-item";
-          const color = preset.color || SERIES_COLORS[seriesList.children.length % SERIES_COLORS.length];
-          const defaultMarkerSize = Object.prototype.hasOwnProperty.call(preset, "markerSize")
-            ? preset.markerSize
-            : plotTypeSelect && plotTypeSelect.value === "line"
-              ? 0
-              : 24;
-          item.innerHTML = `
-            <div class="series-item-header">
-              <div class="series-item-title">系列</div>
-              <button type="button" class="small-btn ghost-btn remove-series">削除</button>
-            </div>
-            <div class="row group">
-              <div class="series-x-wrap">
-                <label>X列</label>
-                <select class="series-x"></select>
-              </div>
-              <div>
-                <label>Y列</label>
-                <select class="series-y"></select>
-              </div>
-            </div>
-            <div class="row group">
-              <div>
-                <label>色</label>
-                <div class="series-color-picker">
-                  <button type="button" class="series-color-trigger">
-                    <span class="series-color-swatch-inline"></span>
-                    <span>色を選択</span>
-                  </button>
-                  <div class="series-color-panel hidden">
-                    <div class="series-color-grid"></div>
-                    <button type="button" class="small-btn ghost-btn series-color-custom-toggle">カスタム</button>
-                    <input class="series-color series-color-custom hidden" type="color" value="${color}" />
-                  </div>
-                </div>
-                <div class="color-value series-color-value">${color}</div>
-              </div>
-              <div>
-                <label>線幅</label>
-                <input class="series-line-width" type="number" step="0.1" value="${preset.lineWidth || 2.0}" />
-              </div>
-            </div>
-            <div class="row group">
-              <div>
-                <label>線種</label>
-                <select class="series-line-style">
-                  <option value="solid">solid</option>
-                  <option value="dashed">dashed</option>
-                  <option value="dashdot">dashdot</option>
-                  <option value="dotted">dotted</option>
-                </select>
-              </div>
-              <div>
-                <label>点サイズ</label>
-                <input class="series-marker-size" type="number" step="1" value="${defaultMarkerSize}" />
-              </div>
-            </div>
-            <div class="group">
-              <label>凡例名（任意）</label>
-              <input class="series-legend-name" type="text" value="${preset.legendName || ""}" placeholder="自動" />
-            </div>
-            <div class="group">
-              <label class="inline check-label">
-                <input class="series-use-y2" type="checkbox" ${preset.useSecondaryAxis ? "checked" : ""} />
-                <span>第2軸を使用</span>
-              </label>
-            </div>
-          `;
-
-          seriesList.appendChild(item);
-          const ySelect = item.querySelector(".series-y");
-          fillSeriesYSelect(ySelect, preset.yRequest || "");
-          const xSelect = item.querySelector(".series-x");
-          fillSeriesXSelect(xSelect, preset.xRequest || (xColumnSelect ? xColumnSelect.value : ""));
-          bindSeriesColorControls(item);
-
-          const lineStyleSelect = item.querySelector(".series-line-style");
-          if (lineStyleSelect) {
-            lineStyleSelect.value = preset.lineStyle || "solid";
-          }
-
-          const removeBtn = item.querySelector(".remove-series");
-          if (removeBtn) {
-            removeBtn.addEventListener("click", () => {
-              if (seriesList.children.length <= 1) return;
-              item.remove();
-              renumberSeries();
-              syncY2LabelUI();
-              scheduleRender();
-            });
-          }
-
-          syncPlotTypeUI();
-          syncY2LabelUI();
-          renumberSeries();
-        };
-
-        window.refreshSeriesColumnOptions = () => {
-          if (!seriesList) return;
-          const ySelects = seriesList.querySelectorAll(".series-y");
-          for (const selectEl of ySelects) {
-            fillSeriesYSelect(selectEl, selectEl.value);
-          }
-          const xSelects = seriesList.querySelectorAll(".series-x");
-          for (const selectEl of xSelects) {
-            fillSeriesXSelect(selectEl, selectEl.value);
-          }
-        };
-
-        window.ensureSeriesItems = () => {
-          if (!seriesList) return;
-          if (seriesList.children.length === 0) {
-            addSeriesItem();
-          } else {
-            renumberSeries();
-          }
-          syncPlotTypeUI();
-          syncY2LabelUI();
-        };
-
-        if (addSeriesBtn) {
-          addSeriesBtn.addEventListener("click", () => {
-            addSeriesItem();
-            scheduleRender();
-          });
-        }
-
-        if (fileInput) {
-          fileInput.addEventListener("change", () => scheduleLoad(0));
-        }
-        if (delimiterInput) {
-          delimiterInput.addEventListener("input", () => scheduleLoad(450));
-        }
-        if (hasHeaderInput) {
-          hasHeaderInput.addEventListener("change", () => scheduleLoad(0));
-        }
-        if (plotTypeSelect) {
-          plotTypeSelect.addEventListener("change", () => {
-            syncPlotTypeUI();
-            syncMarkerSizeForPlotType();
-            scheduleRender();
-          });
-        }
-        if (saveTransparentInput) {
-          saveTransparentInput.addEventListener("change", () => {
-            syncSaveFormatOptions();
-          });
-        }
-        if (useCustomCodeInput) {
-          useCustomCodeInput.addEventListener("change", () => scheduleRender(0));
-        }
-        if (applyCustomCodeBtn) {
-          applyCustomCodeBtn.addEventListener("click", () => {
-            if (canAutoRender()) {
-              runPyAction("requestRender");
-            }
-          });
-        }
-        if (resetCustomCodeBtn && customCodeInput) {
-          resetCustomCodeBtn.addEventListener("click", () => {
-            const defaultCode = customCodeInput.dataset.defaultCode || "";
-            customCodeInput.value = defaultCode;
-            if (useCustomCodeInput) {
-              useCustomCodeInput.checked = false;
-            }
-            if (canAutoRender()) {
-              runPyAction("requestRender");
-            }
-          });
-        }
-        if (customCodeInput) {
-          customCodeInput.addEventListener("keydown", (event) => {
-            if (!(event.ctrlKey || event.metaKey) || event.key !== "Enter") return;
-            event.preventDefault();
-            if (canAutoRender()) {
-              runPyAction("requestRender");
-            }
-          });
-        }
-
-        const autoRenderIds = [
-          "xColumn",
-          "title",
-          "xLabel",
-          "yLabel",
-          "y2Label",
-          "xScale",
-          "yScale",
-          "xMin",
-          "xMax",
-          "yMin",
-          "yMax",
-          "y2Scale",
-          "y2Min",
-          "y2Max",
-          "fontSize",
-          "showMajorGrid",
-          "showMinorGrid",
-          "legendLocation",
-          "figWidth",
-          "figHeight",
-          "subplotLeft",
-          "subplotRight",
-          "subplotBottom",
-          "subplotTop",
-          "skipRows",
-        ];
-        for (const id of autoRenderIds) {
-          const el = document.getElementById(id);
-          if (!el) continue;
-          el.addEventListener("input", () => scheduleRender());
-          el.addEventListener("change", () => scheduleRender());
-        }
-
-        if (seriesList) {
-          const onSeriesInput = (event) => {
-            const target = event.target;
-            if (!target) return;
-            if (target.matches("input, select")) {
-              if (target.matches(".series-use-y2")) {
-                syncY2LabelUI();
-              }
-              scheduleRender();
-            }
-          };
-          seriesList.addEventListener("input", onSeriesInput);
-          seriesList.addEventListener("change", onSeriesInput);
-        }
-
-        document.addEventListener("click", (event) => {
-          if (!seriesList) return;
-          const target = event.target;
-          if (target && target.closest(".series-color-picker")) return;
-          const panels = seriesList.querySelectorAll(".series-color-panel");
-          for (const panel of panels) {
-            panel.classList.add("hidden");
-          }
-        });
-
-        window.ensureSeriesItems();
-        syncPlotTypeUI();
-        syncMarkerSizeForPlotType();
-        syncY2LabelUI();
-        syncSaveFormatOptions();
-      })();
-    </script>
-
-    <script type="py" config="./pyscript.toml">
-import io
-import base64
-import asyncio
-import traceback
-import warnings
-from pathlib import Path
-
-import matplotlib.pyplot as plt
-warnings.simplefilter("ignore", DeprecationWarning)
-warnings.filterwarnings(
-    "ignore",
-    message=".*Pyarrow will become a required dependency of pandas.*",
-    category=DeprecationWarning,
-)
-warnings.filterwarnings(
-    "ignore",
-    message=".*missing from current font.*",
-    category=UserWarning,
-)
-from matplotlib import font_manager
-import pandas as pd
-from js import Uint8Array, document, window, fetch
-from pyodide.ffi import create_proxy
-
-SUPPORTED = {".xlsx", ".csv", ".txt"}
-PREVIEW_ROWS = 100
-CURRENT_DF = None
-_EVENT_PROXIES = []
-JP_FONT_URL = "https://cdn.jsdelivr.net/gh/googlefonts/noto-cjk@main/Sans/OTF/Japanese/NotoSansCJKjp-Regular.otf"
-JP_FONT_PATH = "/tmp/NotoSansCJKjp-Regular.otf"
-_JP_FONT_READY = False
-DEFAULT_CUSTOM_PLOT_CODE = """# 利用可能オブジェクト:
-# - df: skipRows適用後のDataFrame
-# - current_df: 読み込み直後のDataFrame（skipRows未適用）
-# - settings: GUI設定(dict)
-# - plt, pd
-# 必須:
-# - fig に Figure を代入
-# 任意:
-# - plotted_count (int) を設定（未設定時は自動判定）
-
-fig, ax = plt.subplots(figsize=(settings["fig_width"], settings["fig_height"]), dpi=100)
-
-if df.shape[1] < 2:
-    raise ValueError("2列以上のデータが必要です。")
-
-x = pd.to_numeric(df.iloc[:, 0], errors="coerce")
-y = pd.to_numeric(df.iloc[:, 1], errors="coerce")
-mask = x.notna() & y.notna()
-if not bool(mask.any()):
-    raise ValueError("先頭2列に描画可能な数値データがありません。")
-
-series_settings = settings.get("series_settings", [])
-default_legend = ""
-if isinstance(series_settings, list) and len(series_settings) > 0:
-    default_legend = str(series_settings[0].get("legend_name", "") or "").strip()
-if not default_legend:
-    default_legend = str(df.columns[1])
-
-ax.plot(
-    x[mask],
-    y[mask],
-    color="#005AFF",
-    linewidth=2.0,
-    marker="o",
-    markersize=4,
-    label=default_legend,
-)
-ax.set_title(settings["title"])
-ax.set_xlabel(settings["x_label"] or str(df.columns[0]))
-ax.set_ylabel(settings["y_label"] or str(df.columns[1]))
-ax.grid(True, alpha=0.3)
-ax.legend(loc="best", edgecolor="black")
-fig.tight_layout()
-
-plotted_count = 1
-"""
-
-plt.rcParams["font.family"] = "sans-serif"
-plt.rcParams["font.sans-serif"] = [
-    "Noto Sans JP",
-    "Noto Sans CJK JP",
-    "IPAexGothic",
-    "Yu Gothic",
-    "Hiragino Sans",
-    "MS Gothic",
-    "DejaVu Sans",
-]
-plt.rcParams["axes.unicode_minus"] = False
-
-
-async def _ensure_japanese_font() -> None:
-    global _JP_FONT_READY
-    if _JP_FONT_READY:
-        return
-    try:
-        target = Path(JP_FONT_PATH)
-        if not target.exists():
-            response = await fetch(JP_FONT_URL)
-            if not bool(response.ok):
-                return
-            buffer = await response.arrayBuffer()
-            data = Uint8Array.new(buffer)
-            target.write_bytes(bytes(data.to_py()))
-
-        font_manager.fontManager.addfont(str(target))
-        preferred = ["Noto Sans CJK JP", "Noto Sans JP"]
-        current = list(plt.rcParams.get("font.sans-serif", []))
-        for name in reversed(preferred):
-            if name in current:
-                current.remove(name)
-            current.insert(0, name)
-        plt.rcParams["font.sans-serif"] = current
-        _JP_FONT_READY = True
-    except Exception:
-        # フォント取得に失敗しても描画処理は継続する
-        return
-
-
-def set_status(message: str, is_error: bool = False, detail: str = "") -> None:
-    status = document.getElementById("status")
-    if status is not None:
-        status.textContent = message or ""
-        status.style.color = "var(--status-error)" if is_error else "var(--status-ok)"
-
-    detail_wrap = document.getElementById("statusDetailWrap")
-    detail_area = document.getElementById("statusDetail")
-    if detail_wrap is None or detail_area is None:
-        return
-
-    detail_text = str(detail or "").strip()
-    if detail_text:
-        detail_area.textContent = detail_text
-        detail_wrap.classList.remove("hidden")
-        detail_wrap.open = True
-    else:
-        detail_area.textContent = ""
-        detail_wrap.classList.add("hidden")
-        detail_wrap.open = False
-
-
-def _format_internal_error_detail(exc: Exception, context: str) -> str:
-    lines = [
-        f"context: {context}",
-        f"type: {type(exc).__name__}",
-        f"message: {exc}",
-    ]
-    trace = traceback.format_exc().strip()
-    if trace and trace != "NoneType: None":
-        lines.append("")
-        lines.append("traceback:")
-        lines.append(trace)
-    return "\n".join(lines)
-
-
-def _is_parentnode_error(exc: Exception) -> bool:
-    text = str(exc)
-    return ("parentNode" in text) or ("NoneType" in text and "parentNode" in text)
-
-
-def _log_suppressed(where: str, exc) -> None:
-    try:
-        from js import console
-        if False:
-            console.warn("[mplgui] suppressed parentNode error:", where, str(exc), traceback.format_exc())
-        else:
-            console.warn("[mplgui] suppressed parentNode error:", where, str(exc))
-    except Exception:
-        pass
-
-
-def _safe_close_figure(fig) -> None:
-    if fig is None:
-        return
-    try:
-        plt.close(fig)
-    except Exception as exc:
-        # Pyodide/ブラウザ描画バックエンドの後処理競合は無視する
-        if _is_parentnode_error(exc):
-            _log_suppressed("_safe_close_figure", exc)
-            return
-        raise
-
-
-def _switch_tab(tab_name: str) -> None:
-    plot_btn = document.getElementById("tabPlotBtn")
-    data_btn = document.getElementById("tabDataBtn")
-    code_btn = document.getElementById("tabCodeBtn")
-    plot_panel = document.getElementById("plotPanel")
-    data_panel = document.getElementById("dataPanel")
-    code_panel = document.getElementById("codePanel")
-
-    selected = tab_name if tab_name in {"plot", "data", "code"} else "plot"
-    tab_items = [
-        ("plot", plot_btn, plot_panel),
-        ("data", data_btn, data_panel),
-        ("code", code_btn, code_panel),
-    ]
-    for name, btn, panel in tab_items:
-        if btn is not None:
-            if name == selected:
-                btn.classList.add("active")
-            else:
-                btn.classList.remove("active")
-        if panel is not None:
-            if name == selected:
-                panel.classList.remove("hidden")
-            else:
-                panel.classList.add("hidden")
-
-
-def _spawn_task(coro) -> None:
-    task = asyncio.create_task(coro)
-
-    def _consume_done(finished_task):
-        try:
-            finished_task.result()
-        except Exception as exc:
-            if _is_parentnode_error(exc):
-                _log_suppressed("_spawn_task", exc)
-                try:
-                    if _has_rendered_plot():
-                        set_status("描画に成功しました。")
-                    else:
-                        detail = _format_internal_error_detail(exc, "async task callback")
-                        set_status("内部エラーを自動回避しました。もう一度操作してください。", True, detail)
-                except Exception:
-                    pass
-            else:
-                try:
-                    set_status(str(exc), True)
-                except Exception:
-                    pass
-
-    task.add_done_callback(_consume_done)
-
-
-def _decode_delimiter(delimiter: str, suffix: str) -> str:
-    if delimiter:
-        return bytes(delimiter, "utf-8").decode("unicode_escape")
-    if suffix == ".csv":
-        return ","
-    return r"\s+"
-
-
-def _set_data_ready(ready: bool) -> None:
-    try:
-        if hasattr(window, "setMatplotDataReady"):
-            window.setMatplotDataReady(bool(ready))
-    except Exception:
-        pass
-
-
-def _init_custom_code_editor() -> None:
-    editor = document.getElementById("customPyCode")
-    if editor is None:
-        return
-    default_code = DEFAULT_CUSTOM_PLOT_CODE.strip() + "\n"
-    editor.dataset.defaultCode = default_code
-    current = str(editor.value or "").strip()
-    if not current:
-        editor.value = default_code
-
-
-def _is_custom_code_enabled() -> bool:
-    element = document.getElementById("useCustomCode")
-    return bool(element.checked) if element is not None else False
-
-
-def _get_custom_code_text() -> str:
-    element = document.getElementById("customPyCode")
-    if element is None:
-        return ""
-    return str(element.value or "")
-
-
-def _get_text_value(element_id: str, fallback: str = "") -> str:
-    element = document.getElementById(element_id)
-    if element is None:
-        return fallback
-    return str(element.value or "").strip()
-
-
-def _get_optional_float_value(element_id: str, label: str) -> float | None:
-    element = document.getElementById(element_id)
-    raw = element.value.strip() if element is not None else ""
-    if not raw:
-        return None
-    try:
-        return float(raw)
-    except Exception:
-        raise ValueError(f"{label}は数値で指定してください。")
-
-
-def _get_subplot_margin_settings() -> dict:
-    left = _get_optional_float_value("subplotLeft", "余白 左(left)")
-    right = _get_optional_float_value("subplotRight", "余白 右(right)")
-    bottom = _get_optional_float_value("subplotBottom", "余白 下(bottom)")
-    top = _get_optional_float_value("subplotTop", "余白 上(top)")
-
-    for value, label in (
-        (left, "余白 左(left)"),
-        (right, "余白 右(right)"),
-        (bottom, "余白 下(bottom)"),
-        (top, "余白 上(top)"),
-    ):
-        if value is not None and (value < 0 or value > 1):
-            raise ValueError(f"{label}は0〜1で指定してください。")
-
-    if left is not None and right is not None and left >= right:
-        raise ValueError("余白は left < right になるように指定してください。")
-    if bottom is not None and top is not None and bottom >= top:
-        raise ValueError("余白は bottom < top になるように指定してください。")
-
-    return {
-        "left": left,
-        "right": right,
-        "bottom": bottom,
-        "top": top,
-    }
-
-
-def _apply_subplot_margin_settings(fig, margins: dict, use_tight_layout_if_auto: bool = False) -> None:
-    provided = {
-        key: value
-        for key, value in (margins or {}).items()
-        if value is not None
-    }
-    if provided:
-        if use_tight_layout_if_auto and len(provided) < 4:
-            try:
-                fig.tight_layout()
-                auto_margins = {
-                    "left": fig.subplotpars.left,
-                    "right": fig.subplotpars.right,
-                    "bottom": fig.subplotpars.bottom,
-                    "top": fig.subplotpars.top,
-                }
-                auto_margins.update(provided)
-                fig.subplots_adjust(**auto_margins)
-                return
-            except Exception:
-                pass
-        try:
-            fig.subplots_adjust(**provided)
-        except Exception as exc:
-            raise ValueError(f"余白設定の適用に失敗しました: {exc}")
-    elif use_tight_layout_if_auto:
-        fig.tight_layout()
-
-
-def _apply_axis_scale_and_limits(
-    target_ax,
-    axis_kind: str,
-    axis_label: str,
-    scale: str,
-    min_value: float | None,
-    max_value: float | None,
-) -> None:
-    if scale not in {"linear", "log"}:
-        raise ValueError(f"{axis_label}軸スケールが不正です。")
-    if min_value is not None and max_value is not None and min_value >= max_value:
-        raise ValueError(f"{axis_label}軸の範囲は最小値 < 最大値で指定してください。")
-    if scale == "log":
-        if (min_value is not None and min_value <= 0) or (max_value is not None and max_value <= 0):
-            raise ValueError(f"{axis_label}軸を対数にする場合、範囲は0より大きい値で指定してください。")
-
-    try:
-        if axis_kind == "x":
-            target_ax.set_xscale(scale)
-            if min_value is not None or max_value is not None:
-                target_ax.set_xlim(left=min_value, right=max_value)
-        elif axis_kind == "y":
-            target_ax.set_yscale(scale)
-            if min_value is not None or max_value is not None:
-                target_ax.set_ylim(bottom=min_value, top=max_value)
-        else:
-            raise ValueError(f"軸種別が不正です: {axis_kind}")
-    except Exception as exc:
-        raise ValueError(f"{axis_label}軸設定の適用に失敗しました: {exc}")
-
-
-def _get_skip_rows_for_preview() -> int:
-    raw = document.getElementById("skipRows").value.strip()
-    if not raw:
-        return 0
-    try:
-        skip_rows = int(raw)
-    except Exception:
-        return 0
-    return max(skip_rows, 0)
-
-
-def _get_skip_rows() -> int:
-    raw = document.getElementById("skipRows").value.strip()
-    if not raw:
-        return 0
-    skip_rows = int(raw)
-    if skip_rows < 0:
-        raise ValueError("スキップ行数は0以上で指定してください。")
-    return skip_rows
-
-
-def _resolve_column(df: pd.DataFrame, requested: str):
-    if requested.startswith("__idx__"):
-        idx_text = requested.replace("__idx__", "", 1)
-        if not idx_text.isdigit():
-            raise ValueError(f"列指定が不正です: {requested}")
-        idx = int(idx_text)
-        if idx < 0 or idx >= len(df.columns):
-            raise ValueError(f"列インデックスが範囲外です: {idx}")
-        return df.columns[idx]
-
-    if requested in df.columns:
-        return requested
-    matched = [col for col in df.columns if str(col) == requested]
-    if len(matched) == 1:
-        return matched[0]
-    raise ValueError(f"列が見つかりません: {requested}")
-
-
-def _parse_column_index(requested: str) -> int | None:
-    if not requested.startswith("__idx__"):
-        return None
-    idx_text = requested.replace("__idx__", "", 1)
-    if not idx_text.isdigit():
-        return None
-    return int(idx_text)
-
-
-def _get_series_from_request(df: pd.DataFrame, requested: str) -> tuple[pd.Series, str, int]:
-    idx = _parse_column_index(requested)
-    if idx is not None:
-        if idx < 0 or idx >= len(df.columns):
-            raise ValueError(f"列インデックスが範囲外です: {idx}")
-        return df.iloc[:, idx], str(df.columns[idx]), idx
-
-    resolved = _resolve_column(df, requested)
-    found_idx = -1
-    for i, col in enumerate(df.columns):
-        if col == resolved:
-            found_idx = i
-            break
-    return df[resolved], str(resolved), found_idx
-
-
-async def _read_upload() -> tuple[bytes, str]:
-    file_input = document.getElementById("fileInput")
-    if file_input.files.length == 0:
-        raise ValueError("ファイルを選択してください。")
-
-    js_file = file_input.files.item(0)
-    buffer = await js_file.arrayBuffer()
-    data = Uint8Array.new(buffer)
-    return bytes(data.to_py()), str(js_file.name)
-
-
-def _load_dataframe(
-    file_bytes: bytes,
-    filename: str,
-    delimiter: str,
-    has_header: bool,
-) -> pd.DataFrame:
-    suffix = Path(filename).suffix.lower()
-    if suffix not in SUPPORTED:
-        raise ValueError("対応していない拡張子です。xlsx/csv/txtを選択してください。")
-
-    header = 0 if has_header else None
-    stream = io.BytesIO(file_bytes)
-
-    if suffix == ".xlsx":
-        df = pd.read_excel(stream, header=header)
-    else:
-        sep = _decode_delimiter(delimiter, suffix)
-        # UTF-8 で読めなければ Shift-JIS にフォールバック
-        for enc in ("utf-8", "shift_jis"):
-            try:
-                stream.seek(0)
-                df = pd.read_csv(
-                    stream, sep=sep, header=header,
-                    engine="python", encoding=enc,
-                )
-                break
-            except (UnicodeDecodeError, pd.errors.ParserError):
-                if enc == "shift_jis":
-                    raise
-                continue
-
-    if df.empty:
-        raise ValueError("データが空です。")
-
-    if not has_header:
-        df.columns = [f"column_{i}" for i in range(len(df.columns))]
-
-    return df
-
-
-def _collect_series_settings() -> list[dict]:
-    series_list = document.getElementById("seriesList")
-    if series_list is None:
-        raise ValueError("系列設定UIが見つかりません。")
-
-    rows = series_list.querySelectorAll(".series-item")
-    if rows.length == 0:
-        raise ValueError("描画系列を1つ以上追加してください。")
-
-    allowed_line_styles = {"solid", "dashed", "dashdot", "dotted"}
-    plot_type = document.getElementById("plotType").value
-    default_marker = "0" if plot_type == "line" else "24"
-    settings = []
-    for i in range(rows.length):
-        row = rows.item(i)
-        y_select = row.querySelector(".series-y")
-        x_select = row.querySelector(".series-x")
-        color_input = row.querySelector(".series-color")
-        line_width_input = row.querySelector(".series-line-width")
-        line_style_select = row.querySelector(".series-line-style")
-        marker_size_input = row.querySelector(".series-marker-size")
-        legend_name_input = row.querySelector(".series-legend-name")
-        use_y2_input = row.querySelector(".series-use-y2")
-
-        y_request = y_select.value.strip() if y_select is not None else ""
-        x_request = x_select.value.strip() if x_select is not None else ""
-        color = color_input.value.strip() if color_input is not None else "#FF4B00"
-        line_width_text = line_width_input.value.strip() if line_width_input is not None else "2.0"
-        line_style = line_style_select.value.strip() if line_style_select is not None else "solid"
-        marker_size_text = marker_size_input.value.strip() if marker_size_input is not None else default_marker
-        legend_name = legend_name_input.value.strip() if legend_name_input is not None else ""
-        use_secondary_axis = bool(use_y2_input.checked) if use_y2_input is not None else False
-
-        line_width = float(line_width_text or "2.0")
-        marker_size = float(marker_size_text or default_marker)
-
-        if plot_type == "scatter" and marker_size <= 0:
-            marker_size = 24.0
-
-        if line_width <= 0:
-            raise ValueError(f"{i + 1}番目の系列: 線幅は0より大きくしてください。")
-        if marker_size < 0:
-            raise ValueError(f"{i + 1}番目の系列: 点サイズは0以上で指定してください。")
-        if line_style not in allowed_line_styles:
-            raise ValueError(f"{i + 1}番目の系列: 線種が不正です。")
-
-        settings.append(
-            {
-                "y_request": y_request,
-                "x_request": x_request,
-                "color": color or "#FF4B00",
-                "line_width": line_width,
-                "line_style": line_style,
-                "marker_size": marker_size,
-                "legend_name": legend_name,
-                "use_secondary_axis": use_secondary_axis,
-            }
-        )
-
-    return settings
-
-
-def _resolve_series_requests(df: pd.DataFrame, settings: list[dict]) -> list[str]:
-    numeric_indices = [i for i, dtype in enumerate(df.dtypes) if pd.api.types.is_numeric_dtype(dtype)]
-    candidates = numeric_indices if numeric_indices else [0]
-    used_indices = set()
-    resolved = []
-
-    for setting in settings:
-        request = setting["y_request"]
-        if request:
-            idx = _parse_column_index(request)
-            if idx is not None:
-                used_indices.add(idx)
-            resolved.append(request)
-            continue
-
-        chosen = None
-        for idx in candidates:
-            if idx not in used_indices:
-                chosen = idx
-                break
-        if chosen is None:
-            chosen = candidates[0]
-        used_indices.add(chosen)
-        resolved.append(f"__idx__{chosen}")
-
-    return resolved
-
-
-def _get_plot_data(df: pd.DataFrame, series_settings: list[dict]) -> tuple[pd.Series, str, list[dict]]:
-    x_req = document.getElementById("xColumn").value.strip()
-    y_requests = _resolve_series_requests(df, series_settings)
-
-    if x_req:
-        x, x_label, _ = _get_series_from_request(df, x_req)
-    else:
-        x = pd.Series(df.index, name="index")
-        x_label = "index"
-
-    plot_df = pd.DataFrame({"x": x})
-    series_entries = []
-    for i, (setting, request) in enumerate(zip(series_settings, y_requests)):
-        y_series, y_name, y_idx = _get_series_from_request(df, request)
-        y_key = f"y_{i}"
-        label_suffix = f" [{y_idx}]" if y_idx >= 0 else ""
-        data_label = f"{y_name}{label_suffix}"
-        plot_df[y_key] = pd.to_numeric(y_series, errors="coerce")
-        entry = dict(setting)
-        entry["y_key"] = y_key
-        entry["data_label"] = data_label
-        entry["legend_label"] = setting.get("legend_name") or data_label
-        series_entries.append(entry)
-
-    y_keys = [entry["y_key"] for entry in series_entries]
-    plot_df = plot_df.dropna(subset=y_keys, how="all")
-    if plot_df.empty:
-        raise ValueError("描画可能な数値データがありません。")
-
-    for entry in series_entries:
-        entry["y_series"] = plot_df[entry["y_key"]]
-
-    return plot_df["x"], x_label, series_entries
-
-
-def _get_per_series_xy_data(df: pd.DataFrame, series_settings: list[dict]) -> tuple[list[dict], str]:
-    y_requests = _resolve_series_requests(df, series_settings)
-    entries = []
-    x_labels = []
-
-    for setting, y_request in zip(series_settings, y_requests):
-        x_request = setting.get("x_request", "").strip()
-        if x_request:
-            x_series, x_label, _ = _get_series_from_request(df, x_request)
-        else:
-            x_series = pd.Series(df.index, name="index")
-            x_label = "index"
-
-        y_series, y_name, y_idx = _get_series_from_request(df, y_request)
-        label_suffix = f" [{y_idx}]" if y_idx >= 0 else ""
-        data_label = f"{y_name}{label_suffix}"
-
-        entry = dict(setting)
-        entry["x_series"] = x_series.reset_index(drop=True)
-        entry["y_series"] = pd.to_numeric(y_series, errors="coerce").reset_index(drop=True)
-        entry["data_label"] = data_label
-        entry["legend_label"] = setting.get("legend_name") or data_label
-        entry["x_label"] = x_label
-        entries.append(entry)
-        x_labels.append(x_label)
-
-    has_points = False
-    for entry in entries:
-        mask = entry["y_series"].notna() & pd.notna(entry["x_series"])
-        if bool(mask.any()):
-            has_points = True
-            break
-    if not has_points:
-        raise ValueError("描画可能な数値データがありません。")
-
-    common_x_label = x_labels[0] if len(set(x_labels)) == 1 else "x"
-    return entries, common_x_label
-
-
-def _fill_columns(df: pd.DataFrame) -> None:
-    x_select = document.getElementById("xColumn")
-
-    x_select.innerHTML = ""
-
-    x_default = document.createElement("option")
-    x_default.value = ""
-    x_default.textContent = "(index)"
-    x_select.appendChild(x_default)
-
-    for idx, col in enumerate(df.columns):
-        text = str(col)
-        value = f"__idx__{idx}"
-        label = f"{text} [{idx}]"
-
-        x_opt = document.createElement("option")
-        x_opt.value = value
-        x_opt.textContent = label
-        x_select.appendChild(x_opt)
-
-    if hasattr(window, "refreshSeriesColumnOptions"):
-        window.refreshSeriesColumnOptions()
-
-
-def _render_data_preview(df: pd.DataFrame, skip_rows: int = 0) -> None:
-    data_area = document.getElementById("dataArea")
-    if data_area is None:
-        return
-
-    preview_df = df.head(PREVIEW_ROWS)
-    rows = len(df)
-    cols = len(df.columns)
-    truncated = "（先頭100行のみ表示）" if rows > PREVIEW_ROWS else ""
-    table_html = preview_df.to_html(index=False, border=0, classes=["data-table"])
-
-    data_area.innerHTML = (
-        f'<div class="data-meta">行数: {rows} / 列数: {cols} {truncated}</div>'
-        f'<div class="table-wrap">{table_html}</div>'
-    )
-
-
-def _render_plot_image(fig) -> None:
-    buffer = io.BytesIO()
-    fig.savefig(buffer, format="png", dpi=100)
-    encoded = base64.b64encode(buffer.getvalue()).decode("ascii")
-    plot_area = document.getElementById("plotArea")
-    plot_area.innerHTML = f'<img alt="plot" src="data:image/png;base64,{encoded}" />'
-
-
-def _has_rendered_plot() -> bool:
-    plot_area = document.getElementById("plotArea")
-    if plot_area is None:
-        return False
-    return plot_area.querySelector("img") is not None
-
-
-def on_tab_plot(event=None):
-    _switch_tab("plot")
-
-
-def on_tab_data(event=None):
-    _switch_tab("data")
-
-
-def on_tab_code(event=None):
-    _switch_tab("code")
-
-
-def _figure_has_visible_artists(fig) -> bool:
-    if fig is None or not hasattr(fig, "axes"):
-        return False
-    for axis in fig.axes:
-        if len(axis.lines) > 0:
-            return True
-        if len(axis.collections) > 0:
-            return True
-        if len(axis.patches) > 0:
-            return True
-        if len(axis.images) > 0:
-            return True
-        if hasattr(axis, "containers") and len(axis.containers) > 0:
-            return True
-    return False
-
-
-def _collect_custom_plot_settings(skip_rows: int) -> dict:
-    font_size = float(_get_text_value("fontSize", "15") or "15")
-    fig_width = float(_get_text_value("figWidth", "8") or "8")
-    fig_height = float(_get_text_value("figHeight", "6") or "6")
-    subplot_margins = _get_subplot_margin_settings()
-    if fig_width <= 0 or fig_height <= 0:
-        raise ValueError("図幅・図高さは0より大きくしてください。")
-    if font_size <= 0:
-        raise ValueError("フォントサイズは0より大きくしてください。")
-
-    series_settings = []
-    series_settings_error = ""
-    try:
-        series_settings = _collect_series_settings()
-    except Exception as exc:
-        series_settings_error = str(exc)
-
-    return {
-        "skip_rows": skip_rows,
-        "plot_type": _get_text_value("plotType", "line") or "line",
-        "title": _get_text_value("title", ""),
-        "x_label": _get_text_value("xLabel", ""),
-        "y_label": _get_text_value("yLabel", ""),
-        "y2_label": _get_text_value("y2Label", ""),
-        "x_scale": _get_text_value("xScale", "linear") or "linear",
-        "y_scale": _get_text_value("yScale", "linear") or "linear",
-        "y2_scale": _get_text_value("y2Scale", "linear") or "linear",
-        "x_min": _get_optional_float_value("xMin", "X最小値"),
-        "x_max": _get_optional_float_value("xMax", "X最大値"),
-        "y_min": _get_optional_float_value("yMin", "Y最小値"),
-        "y_max": _get_optional_float_value("yMax", "Y最大値"),
-        "y2_min": _get_optional_float_value("y2Min", "第2Y最小値"),
-        "y2_max": _get_optional_float_value("y2Max", "第2Y最大値"),
-        "show_major_grid": bool(document.getElementById("showMajorGrid").checked),
-        "show_minor_grid": bool(document.getElementById("showMinorGrid").checked),
-        "legend_location": _get_text_value("legendLocation", "best") or "best",
-        "font_size": font_size,
-        "fig_width": fig_width,
-        "fig_height": fig_height,
-        "subplot_margins": subplot_margins,
-        "subplot_left": subplot_margins["left"],
-        "subplot_right": subplot_margins["right"],
-        "subplot_bottom": subplot_margins["bottom"],
-        "subplot_top": subplot_margins["top"],
-        "x_column_request": _get_text_value("xColumn", ""),
-        "series_settings": series_settings,
-        "series_settings_error": series_settings_error,
-    }
-
-
-def _create_plot_figure_with_custom_code() -> tuple[object, int, int]:
-    if CURRENT_DF is None:
-        raise ValueError("先にファイルを読み込んでください。")
-
-    skip_rows = _get_skip_rows()
-    if skip_rows >= len(CURRENT_DF):
-        raise ValueError("スキップ行数がデータ行数以上です。")
-
-    code = _get_custom_code_text()
-    if not code.strip():
-        raise ValueError("カスタムコードが空です。")
-
-    df = CURRENT_DF.iloc[skip_rows:].reset_index(drop=True)
-    settings = _collect_custom_plot_settings(skip_rows)
-    context = {
-        "df": df,
-        "current_df": CURRENT_DF,
-        "settings": settings,
-        "series_settings": settings.get("series_settings", []),
-        "helpers": {
-            "get_plot_data": _get_plot_data,
-            "get_per_series_xy_data": _get_per_series_xy_data,
-            "resolve_series_requests": _resolve_series_requests,
-        },
-    }
-
-    local_scope = {
-        "df": df.copy(),
-        "current_df": CURRENT_DF.copy(),
-        "settings": settings,
-        "ctx": context,
-        "series_settings": settings.get("series_settings", []),
-        "get_plot_data": _get_plot_data,
-        "get_per_series_xy_data": _get_per_series_xy_data,
-        "resolve_series_requests": _resolve_series_requests,
-        "plt": plt,
-        "pd": pd,
-        "fig": None,
-        "plotted_count": None,
-        "skip_rows": skip_rows,
-    }
-    global_scope = {
-        "__builtins__": __builtins__,
-        "plt": plt,
-        "pd": pd,
-    }
-    try:
-        exec(code, global_scope, local_scope)
-    except Exception as exc:
-        raise ValueError(f"カスタムコードの実行に失敗しました: {exc}") from exc
-
-    fig = local_scope.get("fig")
-    if fig is None:
-        raise ValueError("カスタムコードで fig を生成してください。")
-    if not hasattr(fig, "savefig"):
-        raise ValueError("fig には matplotlib.figure.Figure を設定してください。")
-    _apply_gui_overrides_to_custom_figure(fig, settings)
-    _apply_subplot_margin_settings(fig, settings.get("subplot_margins", {}), use_tight_layout_if_auto=True)
-
-    plotted_count_raw = local_scope.get("plotted_count")
-    if plotted_count_raw is None:
-        plotted_count = 1 if _figure_has_visible_artists(fig) else 0
-    else:
-        try:
-            plotted_count = int(plotted_count_raw)
-        except Exception:
-            raise ValueError("plotted_count は整数で指定してください。")
-
-    if plotted_count <= 0 and _figure_has_visible_artists(fig):
-        plotted_count = 1
-    if plotted_count <= 0:
-        raise ValueError("描画可能なデータがありません。")
-
-    custom_skip_rows = local_scope.get("skip_rows", skip_rows)
-    try:
-        custom_skip_rows = int(custom_skip_rows)
-    except Exception:
-        custom_skip_rows = skip_rows
-    if custom_skip_rows < 0:
-        custom_skip_rows = skip_rows
-
-    return fig, plotted_count, custom_skip_rows
-
-
-def _apply_gui_overrides_to_custom_figure(fig, settings: dict) -> None:
-    if fig is None or not hasattr(fig, "axes") or len(fig.axes) == 0:
-        return
-
-    ax = fig.axes[0]
-    ax2 = fig.axes[1] if len(fig.axes) >= 2 else None
-    font_size = float(settings.get("font_size", 15) or 15)
-    x_label_override = str(settings.get("x_label", "") or "").strip()
-    y_label_override = str(settings.get("y_label", "") or "").strip()
-    y2_label_override = str(settings.get("y2_label", "") or "").strip()
-    title = str(settings.get("title", "") or "").strip()
-    x_scale = str(settings.get("x_scale", "linear") or "linear").strip()
-    y_scale = str(settings.get("y_scale", "linear") or "linear").strip()
-    y2_scale = str(settings.get("y2_scale", "linear") or "linear").strip()
-    x_min = settings.get("x_min")
-    x_max = settings.get("x_max")
-    y_min = settings.get("y_min")
-    y_max = settings.get("y_max")
-    y2_min = settings.get("y2_min")
-    y2_max = settings.get("y2_max")
-    show_major_grid = bool(settings.get("show_major_grid", False))
-    show_minor_grid = bool(settings.get("show_minor_grid", False))
-    legend_location = str(settings.get("legend_location", "best") or "best").strip()
-    allowed_legend_locations = {
-        "best",
-        "upper right",
-        "upper left",
-        "lower right",
-        "lower left",
-        "upper center",
-        "lower center",
-        "center right",
-        "center left",
-        "center",
-        "none",
-    }
-    if legend_location not in allowed_legend_locations:
-        raise ValueError("凡例位置が不正です。")
-
-    if title:
-        ax.set_title(title, fontsize=font_size + 2)
-
-    current_x_label = ax.get_xlabel()
-    current_y_label = ax.get_ylabel()
-    ax.set_xlabel(x_label_override or current_x_label, fontsize=font_size)
-    ax.set_ylabel(y_label_override or current_y_label, fontsize=font_size)
-    if ax2 is not None:
-        current_y2_label = ax2.get_ylabel()
-        ax2.set_ylabel(y2_label_override or current_y2_label, fontsize=font_size)
-
-    _apply_axis_scale_and_limits(ax, "x", "X", x_scale, x_min, x_max)
-    _apply_axis_scale_and_limits(ax, "y", "Y", y_scale, y_min, y_max)
-    if ax2 is not None:
-        _apply_axis_scale_and_limits(ax2, "y", "第2Y", y2_scale, y2_min, y2_max)
-
-    ax.tick_params(
-        axis="x",
-        which="both",
-        direction="in",
-        bottom=True,
-        top=False,
-        labelsize=max(font_size - 1, 1),
-    )
-    ax.tick_params(
-        axis="y",
-        which="both",
-        direction="in",
-        left=True,
-        right=False,
-        labelsize=max(font_size - 1, 1),
-    )
-    if ax2 is not None:
-        ax2.tick_params(
-            axis="y",
-            which="both",
-            direction="in",
-            left=False,
-            right=True,
-            labelsize=max(font_size - 1, 1),
-        )
-
-    if show_minor_grid:
-        ax.minorticks_on()
-        if ax2 is not None:
-            ax2.minorticks_on()
-    else:
-        ax.minorticks_off()
-        if ax2 is not None:
-            ax2.minorticks_off()
-
-    ax.grid(False, which="both", axis="both")
-    if show_major_grid:
-        ax.grid(True, which="major", axis="both", alpha=0.3)
-    if show_minor_grid:
-        ax.grid(True, which="minor", axis="both", alpha=0.2, linestyle=":")
-    if ax2 is not None:
-        ax2.grid(False, which="both", axis="y")
-        if show_major_grid:
-            ax2.grid(True, which="major", axis="y", alpha=0.3)
-        if show_minor_grid:
-            ax2.grid(True, which="minor", axis="y", alpha=0.2, linestyle=":")
-
-    for axis in fig.axes:
-        existing_legend = axis.get_legend()
-        if existing_legend is not None:
-            existing_legend.remove()
-
-    if legend_location == "none":
-        return
-
-    handles = []
-    labels = []
-    for axis in fig.axes:
-        h, l = axis.get_legend_handles_labels()
-        handles.extend(h)
-        labels.extend(l)
-
-    if not labels:
-        return
-
-    series_settings = settings.get("series_settings", [])
-    for i, setting in enumerate(series_settings):
-        if i >= len(labels):
-            break
-        legend_name = str(setting.get("legend_name", "") or "").strip()
-        if legend_name:
-            labels[i] = legend_name
-
-    ax.legend(
-        handles,
-        labels,
-        loc=legend_location,
-        fontsize=max(font_size - 1, 1),
-        edgecolor="black",
-    )
-
-
-async def on_load_columns(event=None):
-    global CURRENT_DF
-    try:
-        _set_data_ready(False)
-        file_bytes, filename = await _read_upload()
-        delimiter = document.getElementById("delimiter").value
-        has_header = document.getElementById("hasHeader").checked
-
-        df = _load_dataframe(file_bytes, filename, delimiter, has_header)
-        CURRENT_DF = df
-        _fill_columns(df)
-        _render_data_preview(df, _get_skip_rows_for_preview())
-        _set_data_ready(True)
-        set_status("")
-        await on_render()
-    except Exception as exc:
-        CURRENT_DF = None
-        _set_data_ready(False)
-        if _is_parentnode_error(exc):
-            _log_suppressed("on_load_columns", exc)
-            detail = _format_internal_error_detail(exc, "on_load_columns")
-            set_status("内部エラーを自動回避しました。もう一度同じ操作を実行してください。", True, detail)
-            return
-        set_status(str(exc), True)
-
-
-def _create_plot_figure() -> tuple[object, int, int]:
-    if _is_custom_code_enabled():
-        return _create_plot_figure_with_custom_code()
-
-    if CURRENT_DF is None:
-        raise ValueError("先にファイルを読み込んでください。")
-
-    skip_rows = _get_skip_rows()
-    if skip_rows >= len(CURRENT_DF):
-        raise ValueError("スキップ行数がデータ行数以上です。")
-
-    df = CURRENT_DF.iloc[skip_rows:].reset_index(drop=True)
-    plot_type = document.getElementById("plotType").value
-
-    title = document.getElementById("title").value.strip()
-    x_label_override = document.getElementById("xLabel").value.strip()
-    y_label_override = document.getElementById("yLabel").value.strip()
-    y2_label_override = document.getElementById("y2Label").value.strip()
-    x_scale = (document.getElementById("xScale").value or "linear").strip()
-    y_scale = (document.getElementById("yScale").value or "linear").strip()
-    y2_scale = (document.getElementById("y2Scale").value or "linear").strip()
-    x_min = _get_optional_float_value("xMin", "X最小値")
-    x_max = _get_optional_float_value("xMax", "X最大値")
-    y_min = _get_optional_float_value("yMin", "Y最小値")
-    y_max = _get_optional_float_value("yMax", "Y最大値")
-    y2_min = _get_optional_float_value("y2Min", "第2Y最小値")
-    y2_max = _get_optional_float_value("y2Max", "第2Y最大値")
-    show_major_grid = bool(document.getElementById("showMajorGrid").checked)
-    show_minor_grid = bool(document.getElementById("showMinorGrid").checked)
-    legend_location = document.getElementById("legendLocation").value
-
-    series_settings = _collect_series_settings()
-    font_size = float(document.getElementById("fontSize").value or "15")
-    fig_width = float(document.getElementById("figWidth").value or "8")
-    fig_height = float(document.getElementById("figHeight").value or "6")
-    subplot_margins = _get_subplot_margin_settings()
-    allowed_legend_locations = {
-        "best",
-        "upper right",
-        "upper left",
-        "lower right",
-        "lower left",
-        "upper center",
-        "lower center",
-        "center right",
-        "center left",
-        "center",
-        "none",
-    }
-
-    if fig_width <= 0 or fig_height <= 0:
-        raise ValueError("図幅・図高さは0より大きくしてください。")
-    if font_size <= 0:
-        raise ValueError("フォントサイズは0より大きくしてください。")
-    if plot_type not in {"line", "scatter", "bar"}:
-        raise ValueError("プロット種別が不正です。")
-    if legend_location not in allowed_legend_locations:
-        raise ValueError("凡例位置が不正です。")
-
-    fig, ax = plt.subplots(figsize=(fig_width, fig_height), dpi=100)
-    ax2 = None
-    plotted_labels = []
-    all_entries = []
-
-    if plot_type in {"line", "scatter"}:
-        per_series_entries, x_label = _get_per_series_xy_data(df, series_settings)
-        all_entries = per_series_entries
-        for entry in per_series_entries:
-            x_series = entry["x_series"]
-            y_series = entry["y_series"]
-            mask = y_series.notna() & pd.notna(x_series)
-            if not bool(mask.any()):
-                continue
-
-            target_ax = ax
-            if entry.get("use_secondary_axis", False):
-                if ax2 is None:
-                    ax2 = ax.twinx()
-                target_ax = ax2
-
-            if plot_type == "line":
-                marker = "o" if entry["marker_size"] > 0 else ""
-                marker_size_for_line = entry["marker_size"] ** 0.5 if entry["marker_size"] > 0 else 0
-                target_ax.plot(
-                    x_series[mask],
-                    y_series[mask],
-                    color=entry["color"],
-                    linewidth=entry["line_width"],
-                    linestyle=entry["line_style"],
-                    marker=marker,
-                    markersize=marker_size_for_line,
-                    label=entry["legend_label"],
-                )
-            else:
-                target_ax.scatter(
-                    x_series[mask],
-                    y_series[mask],
-                    color=entry["color"],
-                    s=entry["marker_size"],
-                    label=entry["legend_label"],
-                )
-            plotted_labels.append(entry["legend_label"])
-    else:
-        x, x_label, series_entries = _get_plot_data(df, series_settings)
-        all_entries = series_entries
-        if len(series_entries) == 1:
-            entry = series_entries[0]
-            y_series = entry["y_series"]
-            mask = y_series.notna() & pd.notna(x)
-            if bool(mask.any()):
-                target_ax = ax
-                if entry.get("use_secondary_axis", False):
-                    if ax2 is None:
-                        ax2 = ax.twinx()
-                    target_ax = ax2
-                target_ax.bar(
-                    x[mask],
-                    y_series[mask],
-                    color=entry["color"],
-                    linewidth=entry["line_width"],
-                    linestyle=entry["line_style"],
-                    label=entry["legend_label"],
-                )
-                plotted_labels.append(entry["legend_label"])
-        else:
-            x_labels = [str(v) for v in x.tolist()]
-            positions = list(range(len(x_labels)))
-            width = 0.8 / len(series_entries)
-
-            for i, entry in enumerate(series_entries):
-                y_series = entry["y_series"]
-                y_values = [float(v) if pd.notna(v) else 0.0 for v in y_series.tolist()]
-                offset = -0.4 + (width / 2.0) + (i * width)
-                x_positions = [p + offset for p in positions]
-
-                target_ax = ax
-                if entry.get("use_secondary_axis", False):
-                    if ax2 is None:
-                        ax2 = ax.twinx()
-                    target_ax = ax2
-                target_ax.bar(
-                    x_positions,
-                    y_values,
-                    width=width,
-                    color=entry["color"],
-                    linewidth=entry["line_width"],
-                    linestyle=entry["line_style"],
-                    label=entry["legend_label"],
-                )
-                plotted_labels.append(entry["legend_label"])
-
-            if positions:
-                if len(positions) > 25:
-                    step = max(1, len(positions) // 25)
-                    tick_positions = [positions[i] for i in range(0, len(positions), step)]
-                    tick_labels = [x_labels[i] for i in range(0, len(x_labels), step)]
-                else:
-                    tick_positions = positions
-                    tick_labels = x_labels
-                ax.set_xticks(tick_positions)
-                ax.set_xticklabels(tick_labels, rotation=45, ha="right")
-
-    if not plotted_labels:
-        raise ValueError("描画可能なデータがありません。")
-
-    primary_labels = [entry["data_label"] for entry in all_entries if not entry.get("use_secondary_axis", False)]
-    secondary_labels = [entry["data_label"] for entry in all_entries if entry.get("use_secondary_axis", False)]
-
-    if title:
-        ax.set_title(title, fontsize=font_size + 2)
-    ax.set_xlabel(x_label_override or x_label, fontsize=font_size)
-
-    if y_label_override:
-        ax.set_ylabel(y_label_override, fontsize=font_size)
-    else:
-        left_default = primary_labels[0] if len(primary_labels) == 1 else "values"
-        ax.set_ylabel(left_default, fontsize=font_size)
-
-    if ax2 is not None:
-        right_default = secondary_labels[0] if len(secondary_labels) == 1 else "values"
-        ax2.set_ylabel(y2_label_override or right_default, fontsize=font_size)
-
-    _apply_axis_scale_and_limits(ax, "x", "X", x_scale, x_min, x_max)
-    _apply_axis_scale_and_limits(ax, "y", "Y", y_scale, y_min, y_max)
-    if ax2 is not None:
-        _apply_axis_scale_and_limits(ax2, "y", "第2Y", y2_scale, y2_min, y2_max)
-
-    ax.tick_params(
-        axis="x",
-        which="both",
-        direction="in",
-        bottom=True,
-        top=False,
-        labelsize=max(font_size - 1, 1),
-    )
-    ax.tick_params(
-        axis="y",
-        which="both",
-        direction="in",
-        left=True,
-        right=False,
-        labelsize=max(font_size - 1, 1),
-    )
-    if ax2 is not None:
-        ax2.tick_params(
-            axis="y",
-            which="both",
-            direction="in",
-            left=False,
-            right=True,
-            labelsize=max(font_size - 1, 1),
-        )
-
-    if show_minor_grid:
-        ax.minorticks_on()
-        if ax2 is not None:
-            ax2.minorticks_on()
-    else:
-        ax.minorticks_off()
-        if ax2 is not None:
-            ax2.minorticks_off()
-
-    ax.grid(False, which="both", axis="both")
-    if show_major_grid:
-        ax.grid(True, which="major", axis="both", alpha=0.3)
-    if show_minor_grid:
-        ax.grid(True, which="minor", axis="both", alpha=0.2, linestyle=":")
-    if ax2 is not None:
-        ax2.grid(False, which="both", axis="y")
-        if show_major_grid:
-            ax2.grid(True, which="major", axis="y", alpha=0.3)
-        if show_minor_grid:
-            ax2.grid(True, which="minor", axis="y", alpha=0.2, linestyle=":")
-
-    if legend_location != "none" and len(plotted_labels) >= 1:
-        if ax2 is None:
-            ax.legend(
-                loc=legend_location,
-                fontsize=max(font_size - 1, 1),
-                edgecolor="black",
-            )
-        else:
-            handles1, labels1 = ax.get_legend_handles_labels()
-            handles2, labels2 = ax2.get_legend_handles_labels()
-            merged_handles = handles1 + handles2
-            merged_labels = labels1 + labels2
-            if len(merged_labels) >= 1:
-                ax.legend(
-                    merged_handles,
-                    merged_labels,
-                    loc=legend_location,
-                    fontsize=max(font_size - 1, 1),
-                    edgecolor="black",
-                )
-    _apply_subplot_margin_settings(fig, subplot_margins, use_tight_layout_if_auto=True)
-    return fig, len(plotted_labels), skip_rows
-
-
-def _figure_to_data_uri(fig, file_format: str, transparent: bool = False) -> tuple[str, str]:
-    fmt = (file_format or "").lower()
-    if fmt == "png":
-        save_format = "png"
-        mime = "image/png"
-        ext = "png"
-    elif fmt == "jpg":
-        save_format = "jpeg"
-        mime = "image/jpeg"
-        ext = "jpg"
-    elif fmt == "svg":
-        save_format = "svg"
-        mime = "image/svg+xml"
-        ext = "svg"
-    elif fmt == "pdf":
-        save_format = "pdf"
-        mime = "application/pdf"
-        ext = "pdf"
-    else:
-        raise ValueError("保存形式が不正です。")
-
-    if transparent and fmt not in {"png", "svg"}:
-        raise ValueError("背景透過を有効にした場合、保存形式はpngまたはsvgを選択してください。")
-
-    buffer = io.BytesIO()
-    save_kwargs = {}
-    if save_format in {"png", "jpeg"}:
-        save_kwargs["dpi"] = 120
-    if save_format == "jpeg":
-        save_kwargs["facecolor"] = "white"
-    if transparent:
-        save_kwargs["transparent"] = True
-
-    fig.savefig(buffer, format=save_format, **save_kwargs)
-    encoded = base64.b64encode(buffer.getvalue()).decode("ascii")
-    return f"data:{mime};base64,{encoded}", ext
-
-
-async def on_render(event=None):
-    fig = None
-    try:
-        if CURRENT_DF is not None:
-            _render_data_preview(CURRENT_DF, _get_skip_rows_for_preview())
-        await _ensure_japanese_font()
-        fig, plotted_count, skip_rows = _create_plot_figure()
-        _render_plot_image(fig)
-        _set_data_ready(True)
-        set_status(f"描画に成功しました（{plotted_count}系列、スキップ{skip_rows}行）。")
-    except Exception as exc:
-        if _is_parentnode_error(exc):
-            _log_suppressed("on_render", exc)
-            if _has_rendered_plot():
-                set_status("描画に成功しました。")
-            else:
-                detail = _format_internal_error_detail(exc, "on_render")
-                set_status("内部エラーを自動回避しました。もう一度描画を実行してください。", True, detail)
-            return
-        set_status(str(exc), True)
-    finally:
-        _safe_close_figure(fig)
-
-
-async def on_save_plot(event=None):
-    fig = None
-    try:
-        await _ensure_japanese_font()
-        save_format = document.getElementById("saveFormat").value.strip().lower()
-        transparent = bool(document.getElementById("saveTransparent").checked)
-        raw_filename = document.getElementById("saveFilename").value.strip()
-        fig, plotted_count, skip_rows = _create_plot_figure()
-        data_uri, ext = _figure_to_data_uri(fig, save_format, transparent=transparent)
-        if raw_filename:
-            filename_base = raw_filename.rstrip(".")
-            if "." in filename_base:
-                filename_base = filename_base.rsplit(".", 1)[0]
-            filename_base = filename_base.strip() or "plot"
-            filename = f"{filename_base}.{ext}"
-        else:
-            filename = f"plot.{ext}"
-        if not hasattr(window, "downloadDataUri"):
-            raise ValueError("ダウンロード機能の初期化に失敗しました。")
-        window.downloadDataUri(filename, data_uri)
-        set_status(f"描画データを保存しました: {filename}")
-    except Exception as exc:
-        if _is_parentnode_error(exc):
-            _log_suppressed("on_save_plot", exc)
-            detail = _format_internal_error_detail(exc, "on_save_plot")
-            set_status("内部エラーを自動回避しました。もう一度保存を実行してください。", True, detail)
-            return
-        set_status(str(exc), True)
-    finally:
-        _safe_close_figure(fig)
-
-
-def _bind_click(element_id: str, handler, is_async: bool = False) -> None:
-    element = document.getElementById(element_id)
-    if element is None:
-        raise ValueError(f"UI要素が見つかりません: {element_id}")
-
-    if is_async:
-        def wrapped(event):
-            _spawn_task(handler(event))
-    else:
-        def wrapped(event):
-            handler(event)
-
-    proxy = create_proxy(wrapped)
-    _EVENT_PROXIES.append(proxy)
-    element.addEventListener("click", proxy)
-
-
-def _bind_events() -> None:
-    _bind_click("tabPlotBtn", on_tab_plot)
-    _bind_click("tabDataBtn", on_tab_data)
-    _bind_click("tabCodeBtn", on_tab_code)
-    _bind_click("savePlotBtn", on_save_plot, is_async=True)
-
-
-def _register_js_api() -> None:
-    def trigger_load(event=None):
-        _spawn_task(on_load_columns())
-
-    def trigger_render(event=None):
-        _spawn_task(on_render())
-
-    load_proxy = create_proxy(trigger_load)
-    render_proxy = create_proxy(trigger_render)
-    _EVENT_PROXIES.append(load_proxy)
-    _EVENT_PROXIES.append(render_proxy)
-    window.requestLoadColumns = load_proxy
-    window.requestRender = render_proxy
-
-
-set_status("")
-_set_data_ready(False)
-_init_custom_code_editor()
-_switch_tab("plot")
-if hasattr(window, "ensureSeriesItems"):
-    window.ensureSeriesItems()
-try:
-    _register_js_api()
-    _bind_events()
-except Exception as exc:
-    if _is_parentnode_error(exc):
-        _log_suppressed("initialization", exc)
-        detail = _format_internal_error_detail(exc, "initialization")
-        set_status("内部エラーを自動回避しました。ページを再読み込みして再試行してください。", True, detail)
-    else:
-        set_status(f"初期化エラー: {exc}", True)
-    </script>
+    <script type="py" src="./py/main.py" config="./pyscript.toml"></script>
   </body>
 </html>
diff --git a/js/bridge.js b/js/bridge.js
new file mode 100644
index 0000000..ff8cf21
--- /dev/null
+++ b/js/bridge.js
@@ -0,0 +1,52 @@
+// Python 側（PyScript）との橋渡し。Python は window 上の関数を直接呼ぶため window に公開する。
+window.__matplotDataReady = false;
+window.setMatplotDataReady = (ready) => {
+  window.__matplotDataReady = !!ready;
+};
+window.downloadDataUri = (filename, dataUri) => {
+  if (!filename || !dataUri) return;
+  const link = document.createElement("a");
+  link.href = dataUri;
+  link.download = filename;
+  document.body.appendChild(link);
+  link.click();
+  link.remove();
+};
+
+let renderTimer = null;
+let loadTimer = null;
+
+
+export const hasSelectedFile = () => {
+  const fileInput = document.getElementById("fileInput");
+  return !!(fileInput && fileInput.files && fileInput.files.length > 0);
+};
+export const canAutoRender = () => !!window.__matplotDataReady;
+export const runPyAction = (name) => {
+  const fn = window[name];
+  if (typeof fn === "function") {
+    fn();
+    return true;
+  }
+  return false;
+};
+
+export const scheduleRender = (delay = 250) => {
+  if (renderTimer) window.clearTimeout(renderTimer);
+  renderTimer = window.setTimeout(() => {
+    renderTimer = null;
+    if (canAutoRender()) {
+      runPyAction("requestRender");
+    }
+  }, delay);
+};
+
+export const scheduleLoad = (delay = 350) => {
+  if (!hasSelectedFile()) return;
+  if (loadTimer) window.clearTimeout(loadTimer);
+  loadTimer = window.setTimeout(() => {
+    loadTimer = null;
+    window.setMatplotDataReady(false);
+    runPyAction("requestLoadColumns");
+  }, delay);
+};
diff --git a/js/main.js b/js/main.js
new file mode 100644
index 0000000..a53f771
--- /dev/null
+++ b/js/main.js
@@ -0,0 +1,75 @@
+// エントリ。DOM 構築後（module は defer）に UI を初期化する。
+// notify.js は parentNode 系例外のハンドラを登録するため、必ず最初に import する。
+import "./ui/notify.js";
+import { scheduleLoad, scheduleRender } from "./bridge.js";
+import { bindColorPanelOutsideClick } from "./ui/colorPicker.js";
+import { bindCustomCodeEvents } from "./ui/customCode.js";
+import { syncSaveFormatOptions, bindSaveFormatEvents } from "./ui/saveFormat.js";
+import {
+  bindSeriesEvents,
+  syncMarkerSizeForPlotType,
+  syncPlotTypeUI,
+  syncY2LabelUI,
+} from "./ui/series.js";
+// series.js は window.ensureSeriesItems / window.refreshSeriesColumnOptions を公開する。
+// bridge.js は window.setMatplotDataReady / window.downloadDataUri / window.__matplotDataReady を公開する。
+// Python 側が登録する window.requestRender / window.requestLoadColumns は bridge.js から呼ぶ。
+
+const fileInput = document.getElementById("fileInput");
+const delimiterInput = document.getElementById("delimiter");
+const hasHeaderInput = document.getElementById("hasHeader");
+
+if (fileInput) {
+  fileInput.addEventListener("change", () => scheduleLoad(0));
+}
+if (delimiterInput) {
+  delimiterInput.addEventListener("input", () => scheduleLoad(450));
+}
+if (hasHeaderInput) {
+  hasHeaderInput.addEventListener("change", () => scheduleLoad(0));
+}
+
+bindSeriesEvents();
+bindSaveFormatEvents();
+bindCustomCodeEvents();
+bindColorPanelOutsideClick();
+
+const autoRenderIds = [
+  "xColumn",
+  "title",
+  "xLabel",
+  "yLabel",
+  "y2Label",
+  "xScale",
+  "yScale",
+  "xMin",
+  "xMax",
+  "yMin",
+  "yMax",
+  "y2Scale",
+  "y2Min",
+  "y2Max",
+  "fontSize",
+  "showMajorGrid",
+  "showMinorGrid",
+  "legendLocation",
+  "figWidth",
+  "figHeight",
+  "subplotLeft",
+  "subplotRight",
+  "subplotBottom",
+  "subplotTop",
+  "skipRows",
+];
+for (const id of autoRenderIds) {
+  const el = document.getElementById(id);
+  if (!el) continue;
+  el.addEventListener("input", () => scheduleRender());
+  el.addEventListener("change", () => scheduleRender());
+}
+
+window.ensureSeriesItems();
+syncPlotTypeUI();
+syncMarkerSizeForPlotType();
+syncY2LabelUI();
+syncSaveFormatOptions();
diff --git a/js/ui/colorPicker.js b/js/ui/colorPicker.js
new file mode 100644
index 0000000..b43adc8
--- /dev/null
+++ b/js/ui/colorPicker.js
@@ -0,0 +1,105 @@
+// 系列ごとの色選択UI（オーバーレイパネル）。
+import { scheduleRender } from "../bridge.js";
+
+const seriesList = document.getElementById("seriesList");
+
+export const SERIES_COLORS = [
+  "#FF4B00",
+  "#005AFF",
+  "#03AF7A",
+  "#4DC4FF",
+  "#F6AA00",
+  "#FFF100",
+  "#990099",
+  "#84919E",
+  "#000000",
+  "#804000",
+  "#FF8082",
+];
+
+export const bindSeriesColorControls = (item) => {
+  const trigger = item.querySelector(".series-color-trigger");
+  const panel = item.querySelector(".series-color-panel");
+  const grid = item.querySelector(".series-color-grid");
+  const customToggle = item.querySelector(".series-color-custom-toggle");
+  const colorInput = item.querySelector(".series-color");
+  const swatch = item.querySelector(".series-color-swatch-inline");
+  const valueLabel = item.querySelector(".series-color-value");
+  if (!trigger || !panel || !grid || !customToggle || !colorInput || !swatch || !valueLabel) return;
+
+  const closeAllColorPanels = (exceptPanel = null) => {
+    if (!seriesList) return;
+    const panels = seriesList.querySelectorAll(".series-color-panel");
+    for (const p of panels) {
+      if (exceptPanel && p === exceptPanel) continue;
+      p.classList.add("hidden");
+    }
+  };
+
+  const normalizeColor = (value) => String(value || "").trim().toUpperCase();
+
+  const syncSeriesColorView = () => {
+    const current = normalizeColor(colorInput.value);
+    swatch.style.backgroundColor = current || "#000000";
+    valueLabel.textContent = current || "#000000";
+
+    const isPaletteColor = SERIES_COLORS.some((c) => normalizeColor(c) === current);
+    colorInput.classList.toggle("hidden", isPaletteColor);
+    const chips = grid.querySelectorAll(".series-color-chip");
+    for (const chip of chips) {
+      const chipColor = normalizeColor(chip.dataset.color);
+      chip.classList.toggle("active", chipColor === current);
+    }
+  };
+
+  grid.innerHTML = "";
+  for (const color of SERIES_COLORS) {
+    const chip = document.createElement("button");
+    chip.type = "button";
+    chip.className = "series-color-chip";
+    chip.dataset.color = color;
+    chip.style.backgroundColor = color;
+    chip.title = color;
+    chip.addEventListener("click", () => {
+      colorInput.value = color;
+      syncSeriesColorView();
+      panel.classList.add("hidden");
+      scheduleRender();
+    });
+    grid.appendChild(chip);
+  }
+
+  trigger.addEventListener("click", () => {
+    const willOpen = panel.classList.contains("hidden");
+    closeAllColorPanels(panel);
+    panel.classList.toggle("hidden", !willOpen);
+  });
+
+  customToggle.addEventListener("click", () => {
+    colorInput.classList.remove("hidden");
+    if (typeof colorInput.showPicker === "function") {
+      colorInput.showPicker();
+    } else {
+      colorInput.click();
+    }
+  });
+
+  colorInput.addEventListener("input", () => {
+    syncSeriesColorView();
+  });
+
+  syncSeriesColorView();
+};
+
+// パネル外クリックでオーバーレイを閉じる
+export const bindColorPanelOutsideClick = () => {
+  document.addEventListener("click", (event) => {
+    if (!seriesList) return;
+    const target = event.target;
+    if (target && target.closest(".series-color-picker")) return;
+    const panels = seriesList.querySelectorAll(".series-color-panel");
+    for (const panel of panels) {
+      panel.classList.add("hidden");
+    }
+  });
+};
diff --git a/js/ui/customCode.js b/js/ui/customCode.js
new file mode 100644
index 0000000..7ba9228
--- /dev/null
+++ b/js/ui/customCode.js
@@ -0,0 +1,41 @@
+// Pythonコード(beta)タブのボタン・ショートカット。
+import { canAutoRender, runPyAction, scheduleRender } from "../bridge.js";
+
+const customCodeInput = document.getElementById("customPyCode");
+const useCustomCodeInput = document.getElementById("useCustomCode");
+const applyCustomCodeBtn = document.getElementById("applyCustomCodeBtn");
+const resetCustomCodeBtn = document.getElementById("resetCustomCodeBtn");
+
+export const bindCustomCodeEvents = () => {
+  if (useCustomCodeInput) {
+    useCustomCodeInput.addEventListener("change", () => scheduleRender(0));
+  }
+  if (applyCustomCodeBtn) {
+    applyCustomCodeBtn.addEventListener("click", () => {
+      if (canAutoRender()) {
+        runPyAction("requestRender");
+      }
+    });
+  }
+  if (resetCustomCodeBtn && customCodeInput) {
+    resetCustomCodeBtn.addEventListener("click", () => {
+      const defaultCode = customCodeInput.dataset.defaultCode || "";
+      customCodeInput.value = defaultCode;
+      if (useCustomCodeInput) {
+        useCustomCodeInput.checked = false;
+      }
+      if (canAutoRender()) {
+        runPyAction("requestRender");
+      }
+    });
+  }
+  if (customCodeInput) {
+    customCodeInput.addEventListener("keydown", (event) => {
+      if (!(event.ctrlKey || event.metaKey) || event.key !== "Enter") return;
+      event.preventDefault();
+      if (canAutoRender()) {
+        runPyAction("requestRender");
+      }
+    });
+  }
+};
diff --git a/js/ui/notify.js b/js/ui/notify.js
new file mode 100644
index 0000000..d4b8b35
--- /dev/null
+++ b/js/ui/notify.js
@@ -0,0 +1,96 @@
+// ステータス表示と、parentNode 系例外の抑制・回復ハンドラ。
+// 他のモジュールより先に評価されるよう、main.js の先頭で import する。
+const __warn = console.warn.bind(console);
+const isTargetError = (msg) =>
+  typeof msg === "string" &&
+  (msg.includes("parentNode") || msg.includes("'NoneType' object has no attribute 'parentNode'"));
+
+const logSuppressed = (where, msg, stack = "") => {
+  try {
+    __warn("[mplgui] suppressed parentNode error:", where, String(msg));
+  } catch (_) {}
+};
+
+const buildJsErrorDetail = (source, msg, stack = "", extras = []) => {
+  const lines = [`source: ${source}`];
+  if (msg) lines.push(`message: ${msg}`);
+  for (const extra of extras) {
+    if (extra) lines.push(extra);
+  }
+  const normalizedStack = typeof stack === "string" ? stack.trim() : "";
+  if (normalizedStack) {
+    lines.push("");
+    lines.push("stack:");
+    lines.push(normalizedStack);
+  }
+  return lines.join("\n");
+};
+
+export const setStatus = (message, isError = false, detail = "") => {
+  const status = document.getElementById("status");
+  if (status) {
+    status.textContent = message || "";
+    status.style.color = isError ? "var(--status-error)" : "var(--status-ok)";
+  }
+
+  const detailWrap = document.getElementById("statusDetailWrap");
+  const detailEl = document.getElementById("statusDetail");
+  if (!detailWrap || !detailEl) return;
+  const normalized = typeof detail === "string" ? detail.trim() : "";
+  if (normalized) {
+    detailEl.textContent = normalized;
+    detailWrap.classList.remove("hidden");
+    detailWrap.open = true;
+  } else {
+    detailEl.textContent = "";
+    detailWrap.classList.add("hidden");
+    detailWrap.open = false;
+  }
+};
+
+export const notify = (detail = "") => {
+  const plotArea = document.getElementById("plotArea");
+  const hasPlot = !!(plotArea && plotArea.querySelector("img"));
+  if (hasPlot) {
+    setStatus("描画に成功しました。");
+  } else {
+    setStatus("内部エラーを自動回避しました。もう一度操作してください。", true, detail);
+  }
+};
+
+window.addEventListener("error", (event) => {
+  const msg = event?.message || "";
+  if (isTargetError(msg)) {
+    event.preventDefault();
+    const stack = event?.error?.stack || "";
+    logSuppressed("window.error", msg, stack);
+    const extras = [
+      event?.filename ? `file: ${event.filename}` : "",
+      event?.lineno ? `line: ${event.lineno}` : "",
+      event?.colno ? `column: ${event.colno}` : "",
+    ];
+    notify(buildJsErrorDetail("window.error", msg, stack, extras));
+  }
+});
+
+window.addEventListener("unhandledrejection", (event) => {
+  const reason = event?.reason;
+  const msg = (reason && (reason.message || String(reason))) || "";
+  if (isTargetError(msg)) {
+    event.preventDefault();
+    const stack = reason?.stack || "";
+    logSuppressed("window.unhandledrejection", msg, stack);
+    notify(buildJsErrorDetail("window.unhandledrejection", msg, stack));
+  }
+});
+
+const originalConsoleError = console.error.bind(console);
+console.error = (...args) => {
+  const msg = args.map((x) => String(x)).join(" ");
+  if (isTargetError(msg)) {
+    logSuppressed("console.error", msg, new Error().stack || "");
+    notify(buildJsErrorDetail("console.error", msg));
+    return;
+  }
+  originalConsoleError(...args);
+};
diff --git a/js/ui/saveFormat.js b/js/ui/saveFormat.js
new file mode 100644
index 0000000..b53602d
--- /dev/null
+++ b/js/ui/saveFormat.js
@@ -0,0 +1,34 @@
+// 保存形式セレクトの選択肢（背景透過時は png / svg のみ）。
+const saveFormatSelect = document.getElementById("saveFormat");
+const saveTransparentInput = document.getElementById("saveTransparent");
+
+const SAVE_FORMATS_ALL = ["png", "jpg", "svg", "pdf"];
+const SAVE_FORMATS_TRANSPARENT = ["png", "svg"];
+export const syncSaveFormatOptions = () => {
+  if (!saveFormatSelect) return;
+  const allowTransparentOnly = !!(saveTransparentInput && saveTransparentInput.checked);
+  const formats = allowTransparentOnly ? SAVE_FORMATS_TRANSPARENT : SAVE_FORMATS_ALL;
+  const currentValue = (saveFormatSelect.value || "").toLowerCase();
+
+  saveFormatSelect.innerHTML = "";
+  for (const fmt of formats) {
+    const opt = document.createElement("option");
+    opt.value = fmt;
+    opt.textContent = fmt;
+    saveFormatSelect.appendChild(opt);
+  }
+
+  if (formats.includes(currentValue)) {
+    saveFormatSelect.value = currentValue;
+  } else {
+    saveFormatSelect.value = formats[0];
+  }
+};
+
+export const bindSaveFormatEvents = () => {
+  if (saveTransparentInput) {
+    saveTransparentInput.addEventListener("change", () => {
+      syncSaveFormatOptions();
+    });
+  }
+};
diff --git a/js/ui/series.js b/js/ui/series.js
new file mode 100644
index 0000000..c7f0157
--- /dev/null
+++ b/js/ui/series.js
@@ -0,0 +1,280 @@
+// 系列カード（追加・削除・列セレクト・種別/第2軸に応じた表示切替）。
+import { scheduleRender } from "../bridge.js";
+import { SERIES_COLORS, bindSeriesColorControls } from "./colorPicker.js";
+
+const seriesList = document.getElementById("seriesList");
+const addSeriesBtn = document.getElementById("addSeriesBtn");
+const plotTypeSelect = document.getElementById("plotType");
+const globalXGroup = document.getElementById("globalXGroup");
+const xColumnSelect = document.getElementById("xColumn");
+const y2LabelGroup = document.getElementById("y2LabelGroup");
+const y2AxisSettingsGroup = document.getElementById("y2AxisSettingsGroup");
+let lastPlotType = plotTypeSelect ? plotTypeSelect.value : "line";
+
+const getColumnOptions = (includeIndex = false) => {
+  const xColumn = document.getElementById("xColumn");
+  if (!xColumn) return [];
+  const options = [];
+  for (const opt of xColumn.options) {
+    if (!includeIndex && !opt.value) continue;
+    options.push({ value: opt.value, label: opt.textContent || opt.value });
+  }
+  return options;
+};
+
+const fillSeriesYSelect = (selectEl, selectedValue = "") => {
+  if (!selectEl) return;
+  const columns = getColumnOptions(false);
+  selectEl.innerHTML = "";
+
+  const autoOption = document.createElement("option");
+  autoOption.value = "";
+  autoOption.textContent = "(自動)";
+  selectEl.appendChild(autoOption);
+
+  for (const col of columns) {
+    const opt = document.createElement("option");
+    opt.value = col.value;
+    opt.textContent = col.label;
+    selectEl.appendChild(opt);
+  }
+
+  if (selectedValue && Array.from(selectEl.options).some((opt) => opt.value === selectedValue)) {
+    selectEl.value = selectedValue;
+  }
+};
+
+const fillSeriesXSelect = (selectEl, selectedValue = "") => {
+  if (!selectEl) return;
+  const columns = getColumnOptions(true);
+  selectEl.innerHTML = "";
+  for (const col of columns) {
+    const opt = document.createElement("option");
+    opt.value = col.value;
+    opt.textContent = col.label;
+    selectEl.appendChild(opt);
+  }
+  if (Array.from(selectEl.options).some((opt) => opt.value === selectedValue)) {
+    selectEl.value = selectedValue;
+  } else {
+    selectEl.value = "";
+  }
+};
+
+export const syncPlotTypeUI = () => {
+  const type = plotTypeSelect ? plotTypeSelect.value : "line";
+  const usePerSeriesX = type === "line" || type === "scatter";
+  if (globalXGroup) {
+    globalXGroup.style.display = usePerSeriesX ? "none" : "";
+  }
+  if (!seriesList) return;
+  const xGroups = seriesList.querySelectorAll(".series-x-wrap");
+  for (const group of xGroups) {
+    group.style.display = usePerSeriesX ? "block" : "none";
+  }
+};
+
+export const syncMarkerSizeForPlotType = () => {
+  if (!seriesList || !plotTypeSelect) return;
+  const currentType = plotTypeSelect.value;
+  const markerInputs = seriesList.querySelectorAll(".series-marker-size");
+  if (currentType === "scatter") {
+    for (const input of markerInputs) {
+      const current = Number(input.value);
+      if (!Number.isFinite(current) || current <= 0) {
+        input.value = "24";
+      }
+    }
+  } else if (currentType === "line" && lastPlotType === "scatter") {
+    for (const input of markerInputs) {
+      const current = Number(input.value);
+      if (Number.isFinite(current) && current === 24) {
+        input.value = "0";
+      }
+    }
+  }
+  lastPlotType = currentType;
+};
+
+export const syncY2LabelUI = () => {
+  if (!seriesList) return;
+  const hasSecondary = !!seriesList.querySelector(".series-use-y2:checked");
+  if (y2LabelGroup) {
+    y2LabelGroup.style.display = hasSecondary ? "" : "none";
+  }
+  if (y2AxisSettingsGroup) {
+    y2AxisSettingsGroup.style.display = hasSecondary ? "" : "none";
+  }
+};
+
+const renumberSeries = () => {
+  if (!seriesList) return;
+  const items = Array.from(seriesList.querySelectorAll(".series-item"));
+  items.forEach((item, idx) => {
+    const title = item.querySelector(".series-item-title");
+    if (title) title.textContent = `系列 ${idx + 1}`;
+  });
+  const disableRemove = items.length <= 1;
+  items.forEach((item) => {
+    const removeBtn = item.querySelector(".remove-series");
+    if (removeBtn) {
+      removeBtn.disabled = disableRemove;
+      removeBtn.style.opacity = disableRemove ? "0.5" : "1";
+      removeBtn.style.cursor = disableRemove ? "not-allowed" : "pointer";
+    }
+  });
+};
+
+const addSeriesItem = (preset = {}) => {
+  if (!seriesList) return;
+  const item = document.createElement("div");
+  item.className = "series-item";
+  const color = preset.color || SERIES_COLORS[seriesList.children.length % SERIES_COLORS.length];
+  const defaultMarkerSize = Object.prototype.hasOwnProperty.call(preset, "markerSize")
+    ? preset.markerSize
+    : plotTypeSelect && plotTypeSelect.value === "line"
+      ? 0
+      : 24;
+  item.innerHTML = `
+    <div class="series-item-header">
+      <div class="series-item-title">系列</div>
+      <button type="button" class="small-btn ghost-btn remove-series">削除</button>
+    </div>
+    <div class="row group">
+      <div class="series-x-wrap">
+        <label>X列</label>
+        <select class="series-x"></select>
+      </div>
+      <div>
+        <label>Y列</label>
+        <select class="series-y"></select>
+      </div>
+    </div>
+    <div class="row group">
+      <div>
+        <label>色</label>
+        <div class="series-color-picker">
+          <button type="button" class="series-color-trigger">
+            <span class="series-color-swatch-inline"></span>
+            <span>色を選択</span>
+          </button>
+          <div class="series-color-panel hidden">
+            <div class="series-color-grid"></div>
+            <button type="button" class="small-btn ghost-btn series-color-custom-toggle">カスタム</button>
+            <input class="series-color series-color-custom hidden" type="color" value="${color}" />
+          </div>
+        </div>
+        <div class="color-value series-color-value">${color}</div>
+      </div>
+      <div>
+        <label>線幅</label>
+        <input class="series-line-width" type="number" step="0.1" value="${preset.lineWidth || 2.0}" />
+      </div>
+    </div>
+    <div class="row group">
+      <div>
+        <label>線種</label>
+        <select class="series-line-style">
+          <option value="solid">solid</option>
+          <option value="dashed">dashed</option>
+          <option value="dashdot">dashdot</option>
+          <option value="dotted">dotted</option>
+        </select>
+      </div>
+      <div>
+        <label>点サイズ</label>
+        <input class="series-marker-size" type="number" step="1" value="${defaultMarkerSize}" />
+      </div>
+    </div>
+    <div class="group">
+      <label>凡例名（任意）</label>
+      <input class="series-legend-name" type="text" value="${preset.legendName || ""}" placeholder="自動" />
+    </div>
+    <div class="group">
+      <label class="inline check-label">
+        <input class="series-use-y2" type="checkbox" ${preset.useSecondaryAxis ? "checked" : ""} />
+        <span>第2軸を使用</span>
+      </label>
+    </div>
+  `;
+
+  seriesList.appendChild(item);
+  const ySelect = item.querySelector(".series-y");
+  fillSeriesYSelect(ySelect, preset.yRequest || "");
+  const xSelect = item.querySelector(".series-x");
+  fillSeriesXSelect(xSelect, preset.xRequest || (xColumnSelect ? xColumnSelect.value : ""));
+  bindSeriesColorControls(item);
+
+  const lineStyleSelect = item.querySelector(".series-line-style");
+  if (lineStyleSelect) {
+    lineStyleSelect.value = preset.lineStyle || "solid";
+  }
+
+  const removeBtn = item.querySelector(".remove-series");
+  if (removeBtn) {
+    removeBtn.addEventListener("click", () => {
+      if (seriesList.children.length <= 1) return;
+      item.remove();
+      renumberSeries();
+      syncY2LabelUI();
+      scheduleRender();
+    });
+  }
+
+  syncPlotTypeUI();
+  syncY2LabelUI();
+  renumberSeries();
+};
+
+window.refreshSeriesColumnOptions = () => {
+  if (!seriesList) return;
+  const ySelects = seriesList.querySelectorAll(".series-y");
+  for (const selectEl of ySelects) {
+    fillSeriesYSelect(selectEl, selectEl.value);
+  }
+  const xSelects = seriesList.querySelectorAll(".series-x");
+  for (const selectEl of xSelects) {
+    fillSeriesXSelect(selectEl, selectEl.value);
+  }
+};
+
+window.ensureSeriesItems = () => {
+  if (!seriesList) return;
+  if (seriesList.children.length === 0) {
+    addSeriesItem();
+  } else {
+    renumberSeries();
+  }
+  syncPlotTypeUI();
+  syncY2LabelUI();
+};
+
+export const bindSeriesEvents = () => {
+  if (addSeriesBtn) {
+    addSeriesBtn.addEventListener("click", () => {
+      addSeriesItem();
+      scheduleRender();
+    });
+  }
+  if (plotTypeSelect) {
+    plotTypeSelect.addEventListener("change", () => {
+      syncPlotTypeUI();
+      syncMarkerSizeForPlotType();
+      scheduleRender();
+    });
+  }
+  if (seriesList) {
+    const onSeriesInput = (event) => {
+      const target = event.target;
+      if (!target) return;
+      if (target.matches("input, select")) {
+        if (target.matches(".series-use-y2")) {
+          syncY2LabelUI();
+        }
+        scheduleRender();
+      }
+    };
+    seriesList.addEventListener("input", onSeriesInput);
+    seriesList.addEventListener("change", onSeriesInput);
+  }
+};
diff --git a/py/main.py b/py/main.py
new file mode 100644
index 0000000..0c157ef
--- /dev/null
+++ b/py/main.py
@@ -0,0 +1,1342 @@
+import io
+import base64
+import asyncio
+import traceback
+import warnings
+from pathlib import Path
+
+import matplotlib.pyplot as plt
+warnings.simplefilter("ignore", DeprecationWarning)
+warnings.filterwarnings(
+    "ignore",
+    message=".*Pyarrow will become a required dependency of pandas.*",
+    category=DeprecationWarning,
+)
+warnings.filterwarnings(
+    "ignore",
+    message=".*missing from current font.*",
+    category=UserWarning,
+)
+import pandas as pd
+from js import Uint8Array, document, window, fetch
+from pyodide.ffi import create_proxy
+
+from mplgui.fonts import configure_rcparams, register_font_file
+from mplgui.loader import load_dataframe
+from mplgui.runner import build_filename, figure_to_data_uri
+
+PREVIEW_ROWS = 100
+CURRENT_DF = None
+_EVENT_PROXIES = []
+JP_FONT_URL = "https://cdn.jsdelivr.net/gh/googlefonts/noto-cjk@main/Sans/OTF/Japanese/NotoSansCJKjp-Regular.otf"
+JP_FONT_PATH = "/tmp/NotoSansCJKjp-Regular.otf"
+_JP_FONT_READY = False
+DEFAULT_CUSTOM_PLOT_CODE = """# 利用可能オブジェクト:
+# - df: skipRows適用後のDataFrame
+# - current_df: 読み込み直後のDataFrame（skipRows未適用）
+# - settings: GUI設定(dict)
+# - plt, pd
+# 必須:
+# - fig に Figure を代入
+# 任意:
+# - plotted_count (int) を設定（未設定時は自動判定）
+
+fig, ax = plt.subplots(figsize=(settings["fig_width"], settings["fig_height"]), dpi=100)
+
+if df.shape[1] < 2:
+    raise ValueError("2列以上のデータが必要です。")
+
+x = pd.to_numeric(df.iloc[:, 0], errors="coerce")
+y = pd.to_numeric(df.iloc[:, 1], errors="coerce")
+mask = x.notna() & y.notna()
+if not bool(mask.any()):
+    raise ValueError("先頭2列に描画可能な数値データがありません。")
+
+series_settings = settings.get("series_settings", [])
+default_legend = ""
+if isinstance(series_settings, list) and len(series_settings) > 0:
+    default_legend = str(series_settings[0].get("legend_name", "") or "").strip()
+if not default_legend:
+    default_legend = str(df.columns[1])
+
+ax.plot(
+    x[mask],
+    y[mask],
+    color="#005AFF",
+    linewidth=2.0,
+    marker="o",
+    markersize=4,
+    label=default_legend,
+)
+ax.set_title(settings["title"])
+ax.set_xlabel(settings["x_label"] or str(df.columns[0]))
+ax.set_ylabel(settings["y_label"] or str(df.columns[1]))
+ax.grid(True, alpha=0.3)
+ax.legend(loc="best", edgecolor="black")
+fig.tight_layout()
+
+plotted_count = 1
+"""
+
+configure_rcparams()
+
+
+async def _ensure_japanese_font() -> None:
+    global _JP_FONT_READY
+    if _JP_FONT_READY:
+        return
+    try:
+        target = Path(JP_FONT_PATH)
+        if not target.exists():
+            response = await fetch(JP_FONT_URL)
+            if not bool(response.ok):
+                return
+            buffer = await response.arrayBuffer()
+            data = Uint8Array.new(buffer)
+            target.write_bytes(bytes(data.to_py()))
+
+        register_font_file(target)
+        _JP_FONT_READY = True
+    except Exception:
+        # フォント取得に失敗しても描画処理は継続する
+        return
+
+
+def set_status(message: str, is_error: bool = False, detail: str = "") -> None:
+    status = document.getElementById("status")
+    if status is not None:
+        status.textContent = message or ""
+        status.style.color = "var(--status-error)" if is_error else "var(--status-ok)"
+
+    detail_wrap = document.getElementById("statusDetailWrap")
+    detail_area = document.getElementById("statusDetail")
+    if detail_wrap is None or detail_area is None:
+        return
+
+    detail_text = str(detail or "").strip()
+    if detail_text:
+        detail_area.textContent = detail_text
+        detail_wrap.classList.remove("hidden")
+        detail_wrap.open = True
+    else:
+        detail_area.textContent = ""
+        detail_wrap.classList.add("hidden")
+        detail_wrap.open = False
+
+
+def _format_internal_error_detail(exc: Exception, context: str) -> str:
+    lines = [
+        f"context: {context}",
+        f"type: {type(exc).__name__}",
+        f"message: {exc}",
+    ]
+    trace = traceback.format_exc().strip()
+    if trace and trace != "NoneType: None":
+        lines.append("")
+        lines.append("traceback:")
+        lines.append(trace)
+    return "\n".join(lines)
+
+
+def _is_parentnode_error(exc: Exception) -> bool:
+    text = str(exc)
+    return ("parentNode" in text) or ("NoneType" in text and "parentNode" in text)
+
+
+def _log_suppressed(where: str, exc) -> None:
+    try:
+        from js import console
+        if False:
+            console.warn("[mplgui] suppressed parentNode error:", where, str(exc), traceback.format_exc())
+        else:
+            console.warn("[mplgui] suppressed parentNode error:", where, str(exc))
+    except Exception:
+        pass
+
+
+def _safe_close_figure(fig) -> None:
+    if fig is None:
+        return
+    try:
+        plt.close(fig)
+    except Exception as exc:
+        # Pyodide/ブラウザ描画バックエンドの後処理競合は無視する
+        if _is_parentnode_error(exc):
+            _log_suppressed("_safe_close_figure", exc)
+            return
+        raise
+
+
+def _switch_tab(tab_name: str) -> None:
+    plot_btn = document.getElementById("tabPlotBtn")
+    data_btn = document.getElementById("tabDataBtn")
+    code_btn = document.getElementById("tabCodeBtn")
+    plot_panel = document.getElementById("plotPanel")
+    data_panel = document.getElementById("dataPanel")
+    code_panel = document.getElementById("codePanel")
+
+    selected = tab_name if tab_name in {"plot", "data", "code"} else "plot"
+    tab_items = [
+        ("plot", plot_btn, plot_panel),
+        ("data", data_btn, data_panel),
+        ("code", code_btn, code_panel),
+    ]
+    for name, btn, panel in tab_items:
+        if btn is not None:
+            if name == selected:
+                btn.classList.add("active")
+            else:
+                btn.classList.remove("active")
+        if panel is not None:
+            if name == selected:
+                panel.classList.remove("hidden")
+            else:
+                panel.classList.add("hidden")
+
+
+def _spawn_task(coro) -> None:
+    task = asyncio.create_task(coro)
+
+    def _consume_done(finished_task):
+        try:
+            finished_task.result()
+        except Exception as exc:
+            if _is_parentnode_error(exc):
+                _log_suppressed("_spawn_task", exc)
+                try:
+                    if _has_rendered_plot():
+                        set_status("描画に成功しました。")
+                    else:
+                        detail = _format_internal_error_detail(exc, "async task callback")
+                        set_status("内部エラーを自動回避しました。もう一度操作してください。", True, detail)
+                except Exception:
+                    pass
+            else:
+                try:
+                    set_status(str(exc), True)
+                except Exception:
+                    pass
+
+    task.add_done_callback(_consume_done)
+
+
+def _set_data_ready(ready: bool) -> None:
+    try:
+        if hasattr(window, "setMatplotDataReady"):
+            window.setMatplotDataReady(bool(ready))
+    except Exception:
+        pass
+
+
+def _init_custom_code_editor() -> None:
+    editor = document.getElementById("customPyCode")
+    if editor is None:
+        return
+    default_code = DEFAULT_CUSTOM_PLOT_CODE.strip() + "\n"
+    editor.dataset.defaultCode = default_code
+    current = str(editor.value or "").strip()
+    if not current:
+        editor.value = default_code
+
+
+def _is_custom_code_enabled() -> bool:
+    element = document.getElementById("useCustomCode")
+    return bool(element.checked) if element is not None else False
+
+
+def _get_custom_code_text() -> str:
+    element = document.getElementById("customPyCode")
+    if element is None:
+        return ""
+    return str(element.value or "")
+
+
+def _get_text_value(element_id: str, fallback: str = "") -> str:
+    element = document.getElementById(element_id)
+    if element is None:
+        return fallback
+    return str(element.value or "").strip()
+
+
+def _get_optional_float_value(element_id: str, label: str) -> float | None:
+    element = document.getElementById(element_id)
+    raw = element.value.strip() if element is not None else ""
+    if not raw:
+        return None
+    try:
+        return float(raw)
+    except Exception:
+        raise ValueError(f"{label}は数値で指定してください。")
+
+
+def _get_subplot_margin_settings() -> dict:
+    left = _get_optional_float_value("subplotLeft", "余白 左(left)")
+    right = _get_optional_float_value("subplotRight", "余白 右(right)")
+    bottom = _get_optional_float_value("subplotBottom", "余白 下(bottom)")
+    top = _get_optional_float_value("subplotTop", "余白 上(top)")
+
+    for value, label in (
+        (left, "余白 左(left)"),
+        (right, "余白 右(right)"),
+        (bottom, "余白 下(bottom)"),
+        (top, "余白 上(top)"),
+    ):
+        if value is not None and (value < 0 or value > 1):
+            raise ValueError(f"{label}は0〜1で指定してください。")
+
+    if left is not None and right is not None and left >= right:
+        raise ValueError("余白は left < right になるように指定してください。")
+    if bottom is not None and top is not None and bottom >= top:
+        raise ValueError("余白は bottom < top になるように指定してください。")
+
+    return {
+        "left": left,
+        "right": right,
+        "bottom": bottom,
+        "top": top,
+    }
+
+
+def _apply_subplot_margin_settings(fig, margins: dict, use_tight_layout_if_auto: bool = False) -> None:
+    provided = {
+        key: value
+        for key, value in (margins or {}).items()
+        if value is not None
+    }
+    if provided:
+        if use_tight_layout_if_auto and len(provided) < 4:
+            try:
+                fig.tight_layout()
+                auto_margins = {
+                    "left": fig.subplotpars.left,
+                    "right": fig.subplotpars.right,
+                    "bottom": fig.subplotpars.bottom,
+                    "top": fig.subplotpars.top,
+                }
+                auto_margins.update(provided)
+                fig.subplots_adjust(**auto_margins)
+                return
+            except Exception:
+                pass
+        try:
+            fig.subplots_adjust(**provided)
+        except Exception as exc:
+            raise ValueError(f"余白設定の適用に失敗しました: {exc}")
+    elif use_tight_layout_if_auto:
+        fig.tight_layout()
+
+
+def _apply_axis_scale_and_limits(
+    target_ax,
+    axis_kind: str,
+    axis_label: str,
+    scale: str,
+    min_value: float | None,
+    max_value: float | None,
+) -> None:
+    if scale not in {"linear", "log"}:
+        raise ValueError(f"{axis_label}軸スケールが不正です。")
+    if min_value is not None and max_value is not None and min_value >= max_value:
+        raise ValueError(f"{axis_label}軸の範囲は最小値 < 最大値で指定してください。")
+    if scale == "log":
+        if (min_value is not None and min_value <= 0) or (max_value is not None and max_value <= 0):
+            raise ValueError(f"{axis_label}軸を対数にする場合、範囲は0より大きい値で指定してください。")
+
+    try:
+        if axis_kind == "x":
+            target_ax.set_xscale(scale)
+            if min_value is not None or max_value is not None:
+                target_ax.set_xlim(left=min_value, right=max_value)
+        elif axis_kind == "y":
+            target_ax.set_yscale(scale)
+            if min_value is not None or max_value is not None:
+                target_ax.set_ylim(bottom=min_value, top=max_value)
+        else:
+            raise ValueError(f"軸種別が不正です: {axis_kind}")
+    except Exception as exc:
+        raise ValueError(f"{axis_label}軸設定の適用に失敗しました: {exc}")
+
+
+def _get_skip_rows_for_preview() -> int:
+    raw = document.getElementById("skipRows").value.strip()
+    if not raw:
+        return 0
+    try:
+        skip_rows = int(raw)
+    except Exception:
+        return 0
+    return max(skip_rows, 0)
+
+
+def _get_skip_rows() -> int:
+    raw = document.getElementById("skipRows").value.strip()
+    if not raw:
+        return 0
+    skip_rows = int(raw)
+    if skip_rows < 0:
+        raise ValueError("スキップ行数は0以上で指定してください。")
+    return skip_rows
+
+
+def _resolve_column(df: pd.DataFrame, requested: str):
+    if requested.startswith("__idx__"):
+        idx_text = requested.replace("__idx__", "", 1)
+        if not idx_text.isdigit():
+            raise ValueError(f"列指定が不正です: {requested}")
+        idx = int(idx_text)
+        if idx < 0 or idx >= len(df.columns):
+            raise ValueError(f"列インデックスが範囲外です: {idx}")
+        return df.columns[idx]
+
+    if requested in df.columns:
+        return requested
+    matched = [col for col in df.columns if str(col) == requested]
+    if len(matched) == 1:
+        return matched[0]
+    raise ValueError(f"列が見つかりません: {requested}")
+
+
+def _parse_column_index(requested: str) -> int | None:
+    if not requested.startswith("__idx__"):
+        return None
+    idx_text = requested.replace("__idx__", "", 1)
+    if not idx_text.isdigit():
+        return None
+    return int(idx_text)
+
+
+def _get_series_from_request(df: pd.DataFrame, requested: str) -> tuple[pd.Series, str, int]:
+    idx = _parse_column_index(requested)
+    if idx is not None:
+        if idx < 0 or idx >= len(df.columns):
+            raise ValueError(f"列インデックスが範囲外です: {idx}")
+        return df.iloc[:, idx], str(df.columns[idx]), idx
+
+    resolved = _resolve_column(df, requested)
+    found_idx = -1
+    for i, col in enumerate(df.columns):
+        if col == resolved:
+            found_idx = i
+            break
+    return df[resolved], str(resolved), found_idx
+
+
+async def _read_upload() -> tuple[bytes, str]:
+    file_input = document.getElementById("fileInput")
+    if file_input.files.length == 0:
+        raise ValueError("ファイルを選択してください。")
+
+    js_file = file_input.files.item(0)
+    buffer = await js_file.arrayBuffer()
+    data = Uint8Array.new(buffer)
+    return bytes(data.to_py()), str(js_file.name)
+
+
+def _collect_series_settings() -> list[dict]:
+    series_list = document.getElementById("seriesList")
+    if series_list is None:
+        raise ValueError("系列設定UIが見つかりません。")
+
+    rows = series_list.querySelectorAll(".series-item")
+    if rows.length == 0:
+        raise ValueError("描画系列を1つ以上追加してください。")
+
+    allowed_line_styles = {"solid", "dashed", "dashdot", "dotted"}
+    plot_type = document.getElementById("plotType").value
+    default_marker = "0" if plot_type == "line" else "24"
+    settings = []
+    for i in range(rows.length):
+        row = rows.item(i)
+        y_select = row.querySelector(".series-y")
+        x_select = row.querySelector(".series-x")
+        color_input = row.querySelector(".series-color")
+        line_width_input = row.querySelector(".series-line-width")
+        line_style_select = row.querySelector(".series-line-style")
+        marker_size_input = row.querySelector(".series-marker-size")
+        legend_name_input = row.querySelector(".series-legend-name")
+        use_y2_input = row.querySelector(".series-use-y2")
+
+        y_request = y_select.value.strip() if y_select is not None else ""
+        x_request = x_select.value.strip() if x_select is not None else ""
+        color = color_input.value.strip() if color_input is not None else "#FF4B00"
+        line_width_text = line_width_input.value.strip() if line_width_input is not None else "2.0"
+        line_style = line_style_select.value.strip() if line_style_select is not None else "solid"
+        marker_size_text = marker_size_input.value.strip() if marker_size_input is not None else default_marker
+        legend_name = legend_name_input.value.strip() if legend_name_input is not None else ""
+        use_secondary_axis = bool(use_y2_input.checked) if use_y2_input is not None else False
+
+        line_width = float(line_width_text or "2.0")
+        marker_size = float(marker_size_text or default_marker)
+
+        if plot_type == "scatter" and marker_size <= 0:
+            marker_size = 24.0
+
+        if line_width <= 0:
+            raise ValueError(f"{i + 1}番目の系列: 線幅は0より大きくしてください。")
+        if marker_size < 0:
+            raise ValueError(f"{i + 1}番目の系列: 点サイズは0以上で指定してください。")
+        if line_style not in allowed_line_styles:
+            raise ValueError(f"{i + 1}番目の系列: 線種が不正です。")
+
+        settings.append(
+            {
+                "y_request": y_request,
+                "x_request": x_request,
+                "color": color or "#FF4B00",
+                "line_width": line_width,
+                "line_style": line_style,
+                "marker_size": marker_size,
+                "legend_name": legend_name,
+                "use_secondary_axis": use_secondary_axis,
+            }
+        )
+
+    return settings
+
+
+def _resolve_series_requests(df: pd.DataFrame, settings: list[dict]) -> list[str]:
+    numeric_indices = [i for i, dtype in enumerate(df.dtypes) if pd.api.types.is_numeric_dtype(dtype)]
+    candidates = numeric_indices if numeric_indices else [0]
+    used_indices = set()
+    resolved = []
+
+    for setting in settings:
+        request = setting["y_request"]
+        if request:
+            idx = _parse_column_index(request)
+            if idx is not None:
+                used_indices.add(idx)
+            resolved.append(request)
+            continue
+
+        chosen = None
+        for idx in candidates:
+            if idx not in used_indices:
+                chosen = idx
+                break
+        if chosen is None:
+            chosen = candidates[0]
+        used_indices.add(chosen)
+        resolved.append(f"__idx__{chosen}")
+
+    return resolved
+
+
+def _get_plot_data(df: pd.DataFrame, series_settings: list[dict]) -> tuple[pd.Series, str, list[dict]]:
+    x_req = document.getElementById("xColumn").value.strip()
+    y_requests = _resolve_series_requests(df, series_settings)
+
+    if x_req:
+        x, x_label, _ = _get_series_from_request(df, x_req)
+    else:
+        x = pd.Series(df.index, name="index")
+        x_label = "index"
+
+    plot_df = pd.DataFrame({"x": x})
+    series_entries = []
+    for i, (setting, request) in enumerate(zip(series_settings, y_requests)):
+        y_series, y_name, y_idx = _get_series_from_request(df, request)
+        y_key = f"y_{i}"
+        label_suffix = f" [{y_idx}]" if y_idx >= 0 else ""
+        data_label = f"{y_name}{label_suffix}"
+        plot_df[y_key] = pd.to_numeric(y_series, errors="coerce")
+        entry = dict(setting)
+        entry["y_key"] = y_key
+        entry["data_label"] = data_label
+        entry["legend_label"] = setting.get("legend_name") or data_label
+        series_entries.append(entry)
+
+    y_keys = [entry["y_key"] for entry in series_entries]
+    plot_df = plot_df.dropna(subset=y_keys, how="all")
+    if plot_df.empty:
+        raise ValueError("描画可能な数値データがありません。")
+
+    for entry in series_entries:
+        entry["y_series"] = plot_df[entry["y_key"]]
+
+    return plot_df["x"], x_label, series_entries
+
+
+def _get_per_series_xy_data(df: pd.DataFrame, series_settings: list[dict]) -> tuple[list[dict], str]:
+    y_requests = _resolve_series_requests(df, series_settings)
+    entries = []
+    x_labels = []
+
+    for setting, y_request in zip(series_settings, y_requests):
+        x_request = setting.get("x_request", "").strip()
+        if x_request:
+            x_series, x_label, _ = _get_series_from_request(df, x_request)
+        else:
+            x_series = pd.Series(df.index, name="index")
+            x_label = "index"
+
+        y_series, y_name, y_idx = _get_series_from_request(df, y_request)
+        label_suffix = f" [{y_idx}]" if y_idx >= 0 else ""
+        data_label = f"{y_name}{label_suffix}"
+
+        entry = dict(setting)
+        entry["x_series"] = x_series.reset_index(drop=True)
+        entry["y_series"] = pd.to_numeric(y_series, errors="coerce").reset_index(drop=True)
+        entry["data_label"] = data_label
+        entry["legend_label"] = setting.get("legend_name") or data_label
+        entry["x_label"] = x_label
+        entries.append(entry)
+        x_labels.append(x_label)
+
+    has_points = False
+    for entry in entries:
+        mask = entry["y_series"].notna() & pd.notna(entry["x_series"])
+        if bool(mask.any()):
+            has_points = True
+            break
+    if not has_points:
+        raise ValueError("描画可能な数値データがありません。")
+
+    common_x_label = x_labels[0] if len(set(x_labels)) == 1 else "x"
+    return entries, common_x_label
+
+
+def _fill_columns(df: pd.DataFrame) -> None:
+    x_select = document.getElementById("xColumn")
+
+    x_select.innerHTML = ""
+
+    x_default = document.createElement("option")
+    x_default.value = ""
+    x_default.textContent = "(index)"
+    x_select.appendChild(x_default)
+
+    for idx, col in enumerate(df.columns):
+        text = str(col)
+        value = f"__idx__{idx}"
+        label = f"{text} [{idx}]"
+
+        x_opt = document.createElement("option")
+        x_opt.value = value
+        x_opt.textContent = label
+        x_select.appendChild(x_opt)
+
+    if hasattr(window, "refreshSeriesColumnOptions"):
+        window.refreshSeriesColumnOptions()
+
+
+def _render_data_preview(df: pd.DataFrame, skip_rows: int = 0) -> None:
+    data_area = document.getElementById("dataArea")
+    if data_area is None:
+        return
+
+    preview_df = df.head(PREVIEW_ROWS)
+    rows = len(df)
+    cols = len(df.columns)
+    truncated = "（先頭100行のみ表示）" if rows > PREVIEW_ROWS else ""
+    table_html = preview_df.to_html(index=False, border=0, classes=["data-table"])
+
+    data_area.innerHTML = (
+        f'<div class="data-meta">行数: {rows} / 列数: {cols} {truncated}</div>'
+        f'<div class="table-wrap">{table_html}</div>'
+    )
+
+
+def _render_plot_image(fig) -> None:
+    buffer = io.BytesIO()
+    fig.savefig(buffer, format="png", dpi=100)
+    encoded = base64.b64encode(buffer.getvalue()).decode("ascii")
+    plot_area = document.getElementById("plotArea")
+    plot_area.innerHTML = f'<img alt="plot" src="data:image/png;base64,{encoded}" />'
+
+
+def _has_rendered_plot() -> bool:
+    plot_area = document.getElementById("plotArea")
+    if plot_area is None:
+        return False
+    return plot_area.querySelector("img") is not None
+
+
+def on_tab_plot(event=None):
+    _switch_tab("plot")
+
+
+def on_tab_data(event=None):
+    _switch_tab("data")
+
+
+def on_tab_code(event=None):
+    _switch_tab("code")
+
+
+def _figure_has_visible_artists(fig) -> bool:
+    if fig is None or not hasattr(fig, "axes"):
+        return False
+    for axis in fig.axes:
+        if len(axis.lines) > 0:
+            return True
+        if len(axis.collections) > 0:
+            return True
+        if len(axis.patches) > 0:
+            return True
+        if len(axis.images) > 0:
+            return True
+        if hasattr(axis, "containers") and len(axis.containers) > 0:
+            return True
+    return False
+
+
+def _collect_custom_plot_settings(skip_rows: int) -> dict:
+    font_size = float(_get_text_value("fontSize", "15") or "15")
+    fig_width = float(_get_text_value("figWidth", "8") or "8")
+    fig_height = float(_get_text_value("figHeight", "6") or "6")
+    subplot_margins = _get_subplot_margin_settings()
+    if fig_width <= 0 or fig_height <= 0:
+        raise ValueError("図幅・図高さは0より大きくしてください。")
+    if font_size <= 0:
+        raise ValueError("フォントサイズは0より大きくしてください。")
+
+    series_settings = []
+    series_settings_error = ""
+    try:
+        series_settings = _collect_series_settings()
+    except Exception as exc:
+        series_settings_error = str(exc)
+
+    return {
+        "skip_rows": skip_rows,
+        "plot_type": _get_text_value("plotType", "line") or "line",
+        "title": _get_text_value("title", ""),
+        "x_label": _get_text_value("xLabel", ""),
+        "y_label": _get_text_value("yLabel", ""),
+        "y2_label": _get_text_value("y2Label", ""),
+        "x_scale": _get_text_value("xScale", "linear") or "linear",
+        "y_scale": _get_text_value("yScale", "linear") or "linear",
+        "y2_scale": _get_text_value("y2Scale", "linear") or "linear",
+        "x_min": _get_optional_float_value("xMin", "X最小値"),
+        "x_max": _get_optional_float_value("xMax", "X最大値"),
+        "y_min": _get_optional_float_value("yMin", "Y最小値"),
+        "y_max": _get_optional_float_value("yMax", "Y最大値"),
+        "y2_min": _get_optional_float_value("y2Min", "第2Y最小値"),
+        "y2_max": _get_optional_float_value("y2Max", "第2Y最大値"),
+        "show_major_grid": bool(document.getElementById("showMajorGrid").checked),
+        "show_minor_grid": bool(document.getElementById("showMinorGrid").checked),
+        "legend_location": _get_text_value("legendLocation", "best") or "best",
+        "font_size": font_size,
+        "fig_width": fig_width,
+        "fig_height": fig_height,
+        "subplot_margins": subplot_margins,
+        "subplot_left": subplot_margins["left"],
+        "subplot_right": subplot_margins["right"],
+        "subplot_bottom": subplot_margins["bottom"],
+        "subplot_top": subplot_margins["top"],
+        "x_column_request": _get_text_value("xColumn", ""),
+        "series_settings": series_settings,
+        "series_settings_error": series_settings_error,
+    }
+
+
+def _create_plot_figure_with_custom_code() -> tuple[object, int, int]:
+    if CURRENT_DF is None:
+        raise ValueError("先にファイルを読み込んでください。")
+
+    skip_rows = _get_skip_rows()
+    if skip_rows >= len(CURRENT_DF):
+        raise ValueError("スキップ行数がデータ行数以上です。")
+
+    code = _get_custom_code_text()
+    if not code.strip():
+        raise ValueError("カスタムコードが空です。")
+
+    df = CURRENT_DF.iloc[skip_rows:].reset_index(drop=True)
+    settings = _collect_custom_plot_settings(skip_rows)
+    context = {
+        "df": df,
+        "current_df": CURRENT_DF,
+        "settings": settings,
+        "series_settings": settings.get("series_settings", []),
+        "helpers": {
+            "get_plot_data": _get_plot_data,
+            "get_per_series_xy_data": _get_per_series_xy_data,
+            "resolve_series_requests": _resolve_series_requests,
+        },
+    }
+
+    local_scope = {
+        "df": df.copy(),
+        "current_df": CURRENT_DF.copy(),
+        "settings": settings,
+        "ctx": context,
+        "series_settings": settings.get("series_settings", []),
+        "get_plot_data": _get_plot_data,
+        "get_per_series_xy_data": _get_per_series_xy_data,
+        "resolve_series_requests": _resolve_series_requests,
+        "plt": plt,
+        "pd": pd,
+        "fig": None,
+        "plotted_count": None,
+        "skip_rows": skip_rows,
+    }
+    global_scope = {
+        "__builtins__": __builtins__,
+        "plt": plt,
+        "pd": pd,
+    }
+    try:
+        exec(code, global_scope, local_scope)
+    except Exception as exc:
+        raise ValueError(f"カスタムコードの実行に失敗しました: {exc}") from exc
+
+    fig = local_scope.get("fig")
+    if fig is None:
+        raise ValueError("カスタムコードで fig を生成してください。")
+    if not hasattr(fig, "savefig"):
+        raise ValueError("fig には matplotlib.figure.Figure を設定してください。")
+    _apply_gui_overrides_to_custom_figure(fig, settings)
+    _apply_subplot_margin_settings(fig, settings.get("subplot_margins", {}), use_tight_layout_if_auto=True)
+
+    plotted_count_raw = local_scope.get("plotted_count")
+    if plotted_count_raw is None:
+        plotted_count = 1 if _figure_has_visible_artists(fig) else 0
+    else:
+        try:
+            plotted_count = int(plotted_count_raw)
+        except Exception:
+            raise ValueError("plotted_count は整数で指定してください。")
+
+    if plotted_count <= 0 and _figure_has_visible_artists(fig):
+        plotted_count = 1
+    if plotted_count <= 0:
+        raise ValueError("描画可能なデータがありません。")
+
+    custom_skip_rows = local_scope.get("skip_rows", skip_rows)
+    try:
+        custom_skip_rows = int(custom_skip_rows)
+    except Exception:
+        custom_skip_rows = skip_rows
+    if custom_skip_rows < 0:
+        custom_skip_rows = skip_rows
+
+    return fig, plotted_count, custom_skip_rows
+
+
+def _apply_gui_overrides_to_custom_figure(fig, settings: dict) -> None:
+    if fig is None or not hasattr(fig, "axes") or len(fig.axes) == 0:
+        return
+
+    ax = fig.axes[0]
+    ax2 = fig.axes[1] if len(fig.axes) >= 2 else None
+    font_size = float(settings.get("font_size", 15) or 15)
+    x_label_override = str(settings.get("x_label", "") or "").strip()
+    y_label_override = str(settings.get("y_label", "") or "").strip()
+    y2_label_override = str(settings.get("y2_label", "") or "").strip()
+    title = str(settings.get("title", "") or "").strip()
+    x_scale = str(settings.get("x_scale", "linear") or "linear").strip()
+    y_scale = str(settings.get("y_scale", "linear") or "linear").strip()
+    y2_scale = str(settings.get("y2_scale", "linear") or "linear").strip()
+    x_min = settings.get("x_min")
+    x_max = settings.get("x_max")
+    y_min = settings.get("y_min")
+    y_max = settings.get("y_max")
+    y2_min = settings.get("y2_min")
+    y2_max = settings.get("y2_max")
+    show_major_grid = bool(settings.get("show_major_grid", False))
+    show_minor_grid = bool(settings.get("show_minor_grid", False))
+    legend_location = str(settings.get("legend_location", "best") or "best").strip()
+    allowed_legend_locations = {
+        "best",
+        "upper right",
+        "upper left",
+        "lower right",
+        "lower left",
+        "upper center",
+        "lower center",
+        "center right",
+        "center left",
+        "center",
+        "none",
+    }
+    if legend_location not in allowed_legend_locations:
+        raise ValueError("凡例位置が不正です。")
+
+    if title:
+        ax.set_title(title, fontsize=font_size + 2)
+
+    current_x_label = ax.get_xlabel()
+    current_y_label = ax.get_ylabel()
+    ax.set_xlabel(x_label_override or current_x_label, fontsize=font_size)
+    ax.set_ylabel(y_label_override or current_y_label, fontsize=font_size)
+    if ax2 is not None:
+        current_y2_label = ax2.get_ylabel()
+        ax2.set_ylabel(y2_label_override or current_y2_label, fontsize=font_size)
+
+    _apply_axis_scale_and_limits(ax, "x", "X", x_scale, x_min, x_max)
+    _apply_axis_scale_and_limits(ax, "y", "Y", y_scale, y_min, y_max)
+    if ax2 is not None:
+        _apply_axis_scale_and_limits(ax2, "y", "第2Y", y2_scale, y2_min, y2_max)
+
+    ax.tick_params(
+        axis="x",
+        which="both",
+        direction="in",
+        bottom=True,
+        top=False,
+        labelsize=max(font_size - 1, 1),
+    )
+    ax.tick_params(
+        axis="y",
+        which="both",
+        direction="in",
+        left=True,
+        right=False,
+        labelsize=max(font_size - 1, 1),
+    )
+    if ax2 is not None:
+        ax2.tick_params(
+            axis="y",
+            which="both",
+            direction="in",
+            left=False,
+            right=True,
+            labelsize=max(font_size - 1, 1),
+        )
+
+    if show_minor_grid:
+        ax.minorticks_on()
+        if ax2 is not None:
+            ax2.minorticks_on()
+    else:
+        ax.minorticks_off()
+        if ax2 is not None:
+            ax2.minorticks_off()
+
+    ax.grid(False, which="both", axis="both")
+    if show_major_grid:
+        ax.grid(True, which="major", axis="both", alpha=0.3)
+    if show_minor_grid:
+        ax.grid(True, which="minor", axis="both", alpha=0.2, linestyle=":")
+    if ax2 is not None:
+        ax2.grid(False, which="both", axis="y")
+        if show_major_grid:
+            ax2.grid(True, which="major", axis="y", alpha=0.3)
+        if show_minor_grid:
+            ax2.grid(True, which="minor", axis="y", alpha=0.2, linestyle=":")
+
+    for axis in fig.axes:
+        existing_legend = axis.get_legend()
+        if existing_legend is not None:
+            existing_legend.remove()
+
+    if legend_location == "none":
+        return
+
+    handles = []
+    labels = []
+    for axis in fig.axes:
+        h, l = axis.get_legend_handles_labels()
+        handles.extend(h)
+        labels.extend(l)
+
+    if not labels:
+        return
+
+    series_settings = settings.get("series_settings", [])
+    for i, setting in enumerate(series_settings):
+        if i >= len(labels):
+            break
+        legend_name = str(setting.get("legend_name", "") or "").strip()
+        if legend_name:
+            labels[i] = legend_name
+
+    ax.legend(
+        handles,
+        labels,
+        loc=legend_location,
+        fontsize=max(font_size - 1, 1),
+        edgecolor="black",
+    )
+
+
+async def on_load_columns(event=None):
+    global CURRENT_DF
+    try:
+        _set_data_ready(False)
+        file_bytes, filename = await _read_upload()
+        delimiter = document.getElementById("delimiter").value
+        has_header = document.getElementById("hasHeader").checked
+
+        df = load_dataframe(file_bytes, filename, delimiter, has_header)
+        CURRENT_DF = df
+        _fill_columns(df)
+        _render_data_preview(df, _get_skip_rows_for_preview())
+        _set_data_ready(True)
+        set_status("")
+        await on_render()
+    except Exception as exc:
+        CURRENT_DF = None
+        _set_data_ready(False)
+        if _is_parentnode_error(exc):
+            _log_suppressed("on_load_columns", exc)
+            detail = _format_internal_error_detail(exc, "on_load_columns")
+            set_status("内部エラーを自動回避しました。もう一度同じ操作を実行してください。", True, detail)
+            return
+        set_status(str(exc), True)
+
+
+def _create_plot_figure() -> tuple[object, int, int]:
+    if _is_custom_code_enabled():
+        return _create_plot_figure_with_custom_code()
+
+    if CURRENT_DF is None:
+        raise ValueError("先にファイルを読み込んでください。")
+
+    skip_rows = _get_skip_rows()
+    if skip_rows >= len(CURRENT_DF):
+        raise ValueError("スキップ行数がデータ行数以上です。")
+
+    df = CURRENT_DF.iloc[skip_rows:].reset_index(drop=True)
+    plot_type = document.getElementById("plotType").value
+
+    title = document.getElementById("title").value.strip()
+    x_label_override = document.getElementById("xLabel").value.strip()
+    y_label_override = document.getElementById("yLabel").value.strip()
+    y2_label_override = document.getElementById("y2Label").value.strip()
+    x_scale = (document.getElementById("xScale").value or "linear").strip()
+    y_scale = (document.getElementById("yScale").value or "linear").strip()
+    y2_scale = (document.getElementById("y2Scale").value or "linear").strip()
+    x_min = _get_optional_float_value("xMin", "X最小値")
+    x_max = _get_optional_float_value("xMax", "X最大値")
+    y_min = _get_optional_float_value("yMin", "Y最小値")
+    y_max = _get_optional_float_value("yMax", "Y最大値")
+    y2_min = _get_optional_float_value("y2Min", "第2Y最小値")
+    y2_max = _get_optional_float_value("y2Max", "第2Y最大値")
+    show_major_grid = bool(document.getElementById("showMajorGrid").checked)
+    show_minor_grid = bool(document.getElementById("showMinorGrid").checked)
+    legend_location = document.getElementById("legendLocation").value
+
+    series_settings = _collect_series_settings()
+    font_size = float(document.getElementById("fontSize").value or "15")
+    fig_width = float(document.getElementById("figWidth").value or "8")
+    fig_height = float(document.getElementById("figHeight").value or "6")
+    subplot_margins = _get_subplot_margin_settings()
+    allowed_legend_locations = {
+        "best",
+        "upper right",
+        "upper left",
+        "lower right",
+        "lower left",
+        "upper center",
+        "lower center",
+        "center right",
+        "center left",
+        "center",
+        "none",
+    }
+
+    if fig_width <= 0 or fig_height <= 0:
+        raise ValueError("図幅・図高さは0より大きくしてください。")
+    if font_size <= 0:
+        raise ValueError("フォントサイズは0より大きくしてください。")
+    if plot_type not in {"line", "scatter", "bar"}:
+        raise ValueError("プロット種別が不正です。")
+    if legend_location not in allowed_legend_locations:
+        raise ValueError("凡例位置が不正です。")
+
+    fig, ax = plt.subplots(figsize=(fig_width, fig_height), dpi=100)
+    ax2 = None
+    plotted_labels = []
+    all_entries = []
+
+    if plot_type in {"line", "scatter"}:
+        per_series_entries, x_label = _get_per_series_xy_data(df, series_settings)
+        all_entries = per_series_entries
+        for entry in per_series_entries:
+            x_series = entry["x_series"]
+            y_series = entry["y_series"]
+            mask = y_series.notna() & pd.notna(x_series)
+            if not bool(mask.any()):
+                continue
+
+            target_ax = ax
+            if entry.get("use_secondary_axis", False):
+                if ax2 is None:
+                    ax2 = ax.twinx()
+                target_ax = ax2
+
+            if plot_type == "line":
+                marker = "o" if entry["marker_size"] > 0 else ""
+                marker_size_for_line = entry["marker_size"] ** 0.5 if entry["marker_size"] > 0 else 0
+                target_ax.plot(
+                    x_series[mask],
+                    y_series[mask],
+                    color=entry["color"],
+                    linewidth=entry["line_width"],
+                    linestyle=entry["line_style"],
+                    marker=marker,
+                    markersize=marker_size_for_line,
+                    label=entry["legend_label"],
+                )
+            else:
+                target_ax.scatter(
+                    x_series[mask],
+                    y_series[mask],
+                    color=entry["color"],
+                    s=entry["marker_size"],
+                    label=entry["legend_label"],
+                )
+            plotted_labels.append(entry["legend_label"])
+    else:
+        x, x_label, series_entries = _get_plot_data(df, series_settings)
+        all_entries = series_entries
+        if len(series_entries) == 1:
+            entry = series_entries[0]
+            y_series = entry["y_series"]
+            mask = y_series.notna() & pd.notna(x)
+            if bool(mask.any()):
+                target_ax = ax
+                if entry.get("use_secondary_axis", False):
+                    if ax2 is None:
+                        ax2 = ax.twinx()
+                    target_ax = ax2
+                target_ax.bar(
+                    x[mask],
+                    y_series[mask],
+                    color=entry["color"],
+                    linewidth=entry["line_width"],
+                    linestyle=entry["line_style"],
+                    label=entry["legend_label"],
+                )
+                plotted_labels.append(entry["legend_label"])
+        else:
+            x_labels = [str(v) for v in x.tolist()]
+            positions = list(range(len(x_labels)))
+            width = 0.8 / len(series_entries)
+
+            for i, entry in enumerate(series_entries):
+                y_series = entry["y_series"]
+                y_values = [float(v) if pd.notna(v) else 0.0 for v in y_series.tolist()]
+                offset = -0.4 + (width / 2.0) + (i * width)
+                x_positions = [p + offset for p in positions]
+
+                target_ax = ax
+                if entry.get("use_secondary_axis", False):
+                    if ax2 is None:
+                        ax2 = ax.twinx()
+                    target_ax = ax2
+                target_ax.bar(
+                    x_positions,
+                    y_values,
+                    width=width,
+                    color=entry["color"],
+                    linewidth=entry["line_width"],
+                    linestyle=entry["line_style"],
+                    label=entry["legend_label"],
+                )
+                plotted_labels.append(entry["legend_label"])
+
+            if positions:
+                if len(positions) > 25:
+                    step = max(1, len(positions) // 25)
+                    tick_positions = [positions[i] for i in range(0, len(positions), step)]
+                    tick_labels = [x_labels[i] for i in range(0, len(x_labels), step)]
+                else:
+                    tick_positions = positions
+                    tick_labels = x_labels
+                ax.set_xticks(tick_positions)
+                ax.set_xticklabels(tick_labels, rotation=45, ha="right")
+
+    if not plotted_labels:
+        raise ValueError("描画可能なデータがありません。")
+
+    primary_labels = [entry["data_label"] for entry in all_entries if not entry.get("use_secondary_axis", False)]
+    secondary_labels = [entry["data_label"] for entry in all_entries if entry.get("use_secondary_axis", False)]
+
+    if title:
+        ax.set_title(title, fontsize=font_size + 2)
+    ax.set_xlabel(x_label_override or x_label, fontsize=font_size)
+
+    if y_label_override:
+        ax.set_ylabel(y_label_override, fontsize=font_size)
+    else:
+        left_default = primary_labels[0] if len(primary_labels) == 1 else "values"
+        ax.set_ylabel(left_default, fontsize=font_size)
+
+    if ax2 is not None:
+        right_default = secondary_labels[0] if len(secondary_labels) == 1 else "values"
+        ax2.set_ylabel(y2_label_override or right_default, fontsize=font_size)
+
+    _apply_axis_scale_and_limits(ax, "x", "X", x_scale, x_min, x_max)
+    _apply_axis_scale_and_limits(ax, "y", "Y", y_scale, y_min, y_max)
+    if ax2 is not None:
+        _apply_axis_scale_and_limits(ax2, "y", "第2Y", y2_scale, y2_min, y2_max)
+
+    ax.tick_params(
+        axis="x",
+        which="both",
+        direction="in",
+        bottom=True,
+        top=False,
+        labelsize=max(font_size - 1, 1),
+    )
+    ax.tick_params(
+        axis="y",
+        which="both",
+        direction="in",
+        left=True,
+        right=False,
+        labelsize=max(font_size - 1, 1),
+    )
+    if ax2 is not None:
+        ax2.tick_params(
+            axis="y",
+            which="both",
+            direction="in",
+            left=False,
+            right=True,
+            labelsize=max(font_size - 1, 1),
+        )
+
+    if show_minor_grid:
+        ax.minorticks_on()
+        if ax2 is not None:
+            ax2.minorticks_on()
+    else:
+        ax.minorticks_off()
+        if ax2 is not None:
+            ax2.minorticks_off()
+
+    ax.grid(False, which="both", axis="both")
+    if show_major_grid:
+        ax.grid(True, which="major", axis="both", alpha=0.3)
+    if show_minor_grid:
+        ax.grid(True, which="minor", axis="both", alpha=0.2, linestyle=":")
+    if ax2 is not None:
+        ax2.grid(False, which="both", axis="y")
+        if show_major_grid:
+            ax2.grid(True, which="major", axis="y", alpha=0.3)
+        if show_minor_grid:
+            ax2.grid(True, which="minor", axis="y", alpha=0.2, linestyle=":")
+
+    if legend_location != "none" and len(plotted_labels) >= 1:
+        if ax2 is None:
+            ax.legend(
+                loc=legend_location,
+                fontsize=max(font_size - 1, 1),
+                edgecolor="black",
+            )
+        else:
+            handles1, labels1 = ax.get_legend_handles_labels()
+            handles2, labels2 = ax2.get_legend_handles_labels()
+            merged_handles = handles1 + handles2
+            merged_labels = labels1 + labels2
+            if len(merged_labels) >= 1:
+                ax.legend(
+                    merged_handles,
+                    merged_labels,
+                    loc=legend_location,
+                    fontsize=max(font_size - 1, 1),
+                    edgecolor="black",
+                )
+    _apply_subplot_margin_settings(fig, subplot_margins, use_tight_layout_if_auto=True)
+    return fig, len(plotted_labels), skip_rows
+
+
+async def on_render(event=None):
+    fig = None
+    try:
+        if CURRENT_DF is not None:
+            _render_data_preview(CURRENT_DF, _get_skip_rows_for_preview())
+        await _ensure_japanese_font()
+        fig, plotted_count, skip_rows = _create_plot_figure()
+        _render_plot_image(fig)
+        _set_data_ready(True)
+        set_status(f"描画に成功しました（{plotted_count}系列、スキップ{skip_rows}行）。")
+    except Exception as exc:
+        if _is_parentnode_error(exc):
+            _log_suppressed("on_render", exc)
+            if _has_rendered_plot():
+                set_status("描画に成功しました。")
+            else:
+                detail = _format_internal_error_detail(exc, "on_render")
+                set_status("内部エラーを自動回避しました。もう一度描画を実行してください。", True, detail)
+            return
+        set_status(str(exc), True)
+    finally:
+        _safe_close_figure(fig)
+
+
+async def on_save_plot(event=None):
+    fig = None
+    try:
+        await _ensure_japanese_font()
+        save_format = document.getElementById("saveFormat").value.strip().lower()
+        transparent = bool(document.getElementById("saveTransparent").checked)
+        raw_filename = document.getElementById("saveFilename").value.strip()
+        fig, plotted_count, skip_rows = _create_plot_figure()
+        data_uri, ext = figure_to_data_uri(fig, save_format, transparent=transparent)
+        filename = build_filename(raw_filename, ext)
+        if not hasattr(window, "downloadDataUri"):
+            raise ValueError("ダウンロード機能の初期化に失敗しました。")
+        window.downloadDataUri(filename, data_uri)
+        set_status(f"描画データを保存しました: {filename}")
+    except Exception as exc:
+        if _is_parentnode_error(exc):
+            _log_suppressed("on_save_plot", exc)
+            detail = _format_internal_error_detail(exc, "on_save_plot")
+            set_status("内部エラーを自動回避しました。もう一度保存を実行してください。", True, detail)
+            return
+        set_status(str(exc), True)
+    finally:
+        _safe_close_figure(fig)
+
+
+def _bind_click(element_id: str, handler, is_async: bool = False) -> None:
+    element = document.getElementById(element_id)
+    if element is None:
+        raise ValueError(f"UI要素が見つかりません: {element_id}")
+
+    if is_async:
+        def wrapped(event):
+            _spawn_task(handler(event))
+    else:
+        def wrapped(event):
+            handler(event)
+
+    proxy = create_proxy(wrapped)
+    _EVENT_PROXIES.append(proxy)
+    element.addEventListener("click", proxy)
+
+
+def _bind_events() -> None:
+    _bind_click("tabPlotBtn", on_tab_plot)
+    _bind_click("tabDataBtn", on_tab_data)
+    _bind_click("tabCodeBtn", on_tab_code)
+    _bind_click("savePlotBtn", on_save_plot, is_async=True)
+
+
+def _register_js_api() -> None:
+    def trigger_load(event=None):
+        _spawn_task(on_load_columns())
+
+    def trigger_render(event=None):
+        _spawn_task(on_render())
+
+    load_proxy = create_proxy(trigger_load)
+    render_proxy = create_proxy(trigger_render)
+    _EVENT_PROXIES.append(load_proxy)
+    _EVENT_PROXIES.append(render_proxy)
+    window.requestLoadColumns = load_proxy
+    window.requestRender = render_proxy
+
+
+set_status("")
+_set_data_ready(False)
+_init_custom_code_editor()
+_switch_tab("plot")
+if hasattr(window, "ensureSeriesItems"):
+    window.ensureSeriesItems()
+try:
+    _register_js_api()
+    _bind_events()
+except Exception as exc:
+    if _is_parentnode_error(exc):
+        _log_suppressed("initialization", exc)
+        detail = _format_internal_error_detail(exc, "initialization")
+        set_status("内部エラーを自動回避しました。ページを再読み込みして再試行してください。", True, detail)
+    else:
+        set_status(f"初期化エラー: {exc}", True)
diff --git a/py/mplgui/__init__.py b/py/mplgui/__init__.py
new file mode 100644
index 0000000..b972a05
--- /dev/null
+++ b/py/mplgui/__init__.py
@@ -0,0 +1 @@
+"""matplotlib GUI の Python ロジック（ブラウザ非依存の純粋関数）。"""
diff --git a/py/mplgui/fonts.py b/py/mplgui/fonts.py
new file mode 100644
index 0000000..6c7bd54
--- /dev/null
+++ b/py/mplgui/fonts.py
@@ -0,0 +1,31 @@
+"""日本語フォントの設定と登録（js / pyodide には依存しない。取得処理は py/main.py 側）。"""
+from matplotlib import font_manager
+import matplotlib.pyplot as plt
+
+SANS_SERIF_PRIORITY = [
+    "Noto Sans JP",
+    "Noto Sans CJK JP",
+    "IPAexGothic",
+    "Yu Gothic",
+    "Hiragino Sans",
+    "MS Gothic",
+    "DejaVu Sans",
+]
+PREFERRED_JP_FONTS = ["Noto Sans CJK JP", "Noto Sans JP"]
+
+
+def configure_rcparams() -> None:
+    plt.rcParams["font.family"] = "sans-serif"
+    plt.rcParams["font.sans-serif"] = list(SANS_SERIF_PRIORITY)
+    plt.rcParams["axes.unicode_minus"] = False
+
+
+def register_font_file(path: str) -> None:
+    """フォントファイルを matplotlib に登録し、日本語フォントを sans-serif の先頭へ移す。"""
+    font_manager.fontManager.addfont(str(path))
+    current = list(plt.rcParams.get("font.sans-serif", []))
+    for name in reversed(PREFERRED_JP_FONTS):
+        if name in current:
+            current.remove(name)
+        current.insert(0, name)
+    plt.rcParams["font.sans-serif"] = current
diff --git a/py/mplgui/loader.py b/py/mplgui/loader.py
new file mode 100644
index 0000000..dcd4e5a
--- /dev/null
+++ b/py/mplgui/loader.py
@@ -0,0 +1,55 @@
+"""ファイルのバイト列から DataFrame を作る（DOM / js には依存しない）。"""
+import io
+from pathlib import Path
+
+import pandas as pd
+
+SUPPORTED = {".xlsx", ".csv", ".txt"}
+
+
+def decode_delimiter(delimiter: str, suffix: str) -> str:
+    if delimiter:
+        return bytes(delimiter, "utf-8").decode("unicode_escape")
+    if suffix == ".csv":
+        return ","
+    return r"\s+"
+
+
+def load_dataframe(
+    file_bytes: bytes,
+    filename: str,
+    delimiter: str,
+    has_header: bool,
+) -> pd.DataFrame:
+    suffix = Path(filename).suffix.lower()
+    if suffix not in SUPPORTED:
+        raise ValueError("対応していない拡張子です。xlsx/csv/txtを選択してください。")
+
+    header = 0 if has_header else None
+    stream = io.BytesIO(file_bytes)
+
+    if suffix == ".xlsx":
+        df = pd.read_excel(stream, header=header)
+    else:
+        sep = decode_delimiter(delimiter, suffix)
+        # UTF-8 で読めなければ Shift-JIS にフォールバック
+        for enc in ("utf-8", "shift_jis"):
+            try:
+                stream.seek(0)
+                df = pd.read_csv(
+                    stream, sep=sep, header=header,
+                    engine="python", encoding=enc,
+                )
+                break
+            except (UnicodeDecodeError, pd.errors.ParserError):
+                if enc == "shift_jis":
+                    raise
+                continue
+
+    if df.empty:
+        raise ValueError("データが空です。")
+
+    if not has_header:
+        df.columns = [f"column_{i}" for i in range(len(df.columns))]
+
+    return df
diff --git a/py/mplgui/runner.py b/py/mplgui/runner.py
new file mode 100644
index 0000000..dbd1139
--- /dev/null
+++ b/py/mplgui/runner.py
@@ -0,0 +1,53 @@
+"""Figure を画像（data URI）にする。保存ファイル名の組み立ても行う（DOM / js には依存しない）。"""
+import base64
+import io
+
+
+def figure_to_data_uri(fig, file_format: str, transparent: bool = False) -> tuple[str, str]:
+    fmt = (file_format or "").lower()
+    if fmt == "png":
+        save_format = "png"
+        mime = "image/png"
+        ext = "png"
+    elif fmt == "jpg":
+        save_format = "jpeg"
+        mime = "image/jpeg"
+        ext = "jpg"
+    elif fmt == "svg":
+        save_format = "svg"
+        mime = "image/svg+xml"
+        ext = "svg"
+    elif fmt == "pdf":
+        save_format = "pdf"
+        mime = "application/pdf"
+        ext = "pdf"
+    else:
+        raise ValueError("保存形式が不正です。")
+
+    if transparent and fmt not in {"png", "svg"}:
+        raise ValueError("背景透過を有効にした場合、保存形式はpngまたはsvgを選択してください。")
+
+    buffer = io.BytesIO()
+    save_kwargs = {}
+    if save_format in {"png", "jpeg"}:
+        save_kwargs["dpi"] = 120
+    if save_format == "jpeg":
+        save_kwargs["facecolor"] = "white"
+    if transparent:
+        save_kwargs["transparent"] = True
+
+    fig.savefig(buffer, format=save_format, **save_kwargs)
+    encoded = base64.b64encode(buffer.getvalue()).decode("ascii")
+    return f"data:{mime};base64,{encoded}", ext
+
+
+def build_filename(raw_filename: str, ext: str) -> str:
+    """保存ファイル名を作る。空欄時は plot.<ext>。入力中の拡張子は取り除いて ext を付ける。"""
+    raw_filename = (raw_filename or "").strip()
+    if raw_filename:
+        filename_base = raw_filename.rstrip(".")
+        if "." in filename_base:
+            filename_base = filename_base.rsplit(".", 1)[0]
+        filename_base = filename_base.strip() or "plot"
+        return f"{filename_base}.{ext}"
+    return f"plot.{ext}"
diff --git a/pyscript.toml b/pyscript.toml
index 3836d43..55ea780 100644
--- a/pyscript.toml
+++ b/pyscript.toml
@@ -1,2 +1,10 @@
 # PyScript 2026.7.3 (Pyodide 314.0.3 / Python 3.14)。openpyxl は Pyodide 同梱ではないため PyPI から micropip で導入する。
 packages = ["pandas", "matplotlib", "openpyxl==3.1.5", "et_xmlfile==2.0.0"]
+
+# py/mplgui/*.py を Pyodide の仮想FS（カレントディレクトリ直下）に配置し、`import mplgui` できるようにする。
+# キーは取得元（ページからの相対パス）、値は配置先。
+[files]
+"./py/mplgui/__init__.py" = "./mplgui/__init__.py"
+"./py/mplgui/loader.py" = "./mplgui/loader.py"
+"./py/mplgui/runner.py" = "./mplgui/runner.py"
+"./py/mplgui/fonts.py" = "./mplgui/fonts.py"

From 6c5aa2d8363f7f2b3d888dfe65054fa4a24cd20d Mon Sep 17 00:00:00 2001
From: mioupa <mioupa.org@gmail.com>
Date: Wed, 7 Oct 2026 18:05:55 +0900
Subject: [PATCH 11/37] Configure Pages include/exclude, add publish check and
 unit tests

__init__.py is listed under include (Jekyll skips underscore files); dev-only
files are excluded. pytest runs tests/unit by default with py/ on pythonpath.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---
 _config.yml                       |   9 ++-
 pyproject.toml                    |   4 +-
 tests/unit/test_mplgui_modules.py |  52 ++++++++++++++
 tests/unit/test_pages_publish.py  | 112 ++++++++++++++++++++++++++++++
 uv.lock                           |  28 ++++++++
 5 files changed, 203 insertions(+), 2 deletions(-)
 create mode 100644 tests/unit/test_mplgui_modules.py
 create mode 100644 tests/unit/test_pages_publish.py

diff --git a/_config.yml b/_config.yml
index 30386ad..768aefa 100644
--- a/_config.yml
+++ b/_config.yml
@@ -1,5 +1,12 @@
 # GitHub Pages (Jekyll) の配信設定
-# 開発用ドキュメントはリポジトリには置くが、Pages では配信しない
+# Jekyll は "_" で始まるファイルを既定で配信しないため、Python パッケージの __init__.py だけ明示的に含める
+include:
+  - __init__.py
+# 開発用のファイルはリポジトリには置くが、Pages では配信しない
 exclude:
   - docs/
   - AGENTS.md
+  - tests/
+  - pyproject.toml
+  - uv.lock
+  - .python-version
diff --git a/pyproject.toml b/pyproject.toml
index 7db5512..62fb3d2 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -9,7 +9,8 @@ dependencies = []
 package = false
 
 [tool.pytest.ini_options]
-testpaths = ["tests"]
+testpaths = ["tests/unit"]
+pythonpath = ["py"]
 markers = [
     "e2e: ブラウザ(Playwright)を使うE2Eテスト",
     "unit: 単体テスト",
@@ -25,4 +26,5 @@ dev = [
     "openpyxl==3.1.5",
     "pytest>=9.1.1",
     "pytest-playwright>=0.9.0",
+    "pyyaml>=6.0.3",
 ]
diff --git a/tests/unit/test_mplgui_modules.py b/tests/unit/test_mplgui_modules.py
new file mode 100644
index 0000000..b9ef919
--- /dev/null
+++ b/tests/unit/test_mplgui_modules.py
@@ -0,0 +1,52 @@
+"""mplgui の各モジュールが js / pyodide / pyscript に依存せず CPython で import でき、基本動作することを確認する。"""
+import ast
+from pathlib import Path
+
+import pytest
+
+from mplgui.loader import decode_delimiter, load_dataframe
+from mplgui.runner import build_filename, figure_to_data_uri
+
+pytestmark = pytest.mark.unit
+
+FIXTURES = Path(__file__).resolve().parents[1] / "fixtures"
+PKG = Path(__file__).resolve().parents[2] / "py" / "mplgui"
+
+
+def test_no_browser_imports():
+    for path in PKG.glob("*.py"):
+        tree = ast.parse(path.read_text(encoding="utf-8"))
+        for node in ast.walk(tree):
+            names = []
+            if isinstance(node, ast.Import):
+                names = [a.name for a in node.names]
+            elif isinstance(node, ast.ImportFrom):
+                names = [node.module or ""]
+            for n in names:
+                assert n.split(".")[0] not in {"js", "pyodide", "pyscript"}, f"{path.name} imports {n}"
+
+
+def test_load_csv_and_delimiter():
+    df = load_dataframe((FIXTURES / "utf8.csv").read_bytes(), "utf8.csv", "", True)
+    assert not df.empty
+    assert decode_delimiter("", ".csv") == ","
+    assert decode_delimiter(r"\t", ".txt") == "\t"
+
+
+def test_build_filename():
+    assert build_filename("", "png") == "plot.png"
+    assert build_filename("fig.1.svg", "pdf") == "fig.1.pdf"
+    assert build_filename("name.", "jpg") == "name.jpg"
+
+
+def test_figure_to_data_uri_png():
+    import matplotlib
+
+    matplotlib.use("Agg")
+    import matplotlib.pyplot as plt
+
+    fig, ax = plt.subplots()
+    ax.plot([0, 1], [0, 1])
+    uri, ext = figure_to_data_uri(fig, "png")
+    plt.close(fig)
+    assert uri.startswith("data:image/png;base64,") and ext == "png"
diff --git a/tests/unit/test_pages_publish.py b/tests/unit/test_pages_publish.py
new file mode 100644
index 0000000..511a1ba
--- /dev/null
+++ b/tests/unit/test_pages_publish.py
@@ -0,0 +1,112 @@
+"""GitHub Pages (Jekyll) で公開されるファイルに、index.html / pyscript.toml が参照するものが全て含まれるか。
+
+ブラウザは使わない。Jekyll の既定の除外規則（"_" "." "#" "~" 始まりは、include に無ければ配信しない）と
+_config.yml の exclude / include を再現して判定する。
+"""
+import fnmatch
+import tomllib
+from html.parser import HTMLParser
+from pathlib import Path
+from urllib.parse import urlparse
+
+import pytest
+import yaml
+
+pytestmark = pytest.mark.unit
+
+REPO = Path(__file__).resolve().parents[2]
+
+
+class _RefParser(HTMLParser):
+    def __init__(self):
+        super().__init__()
+        self.refs = []  # (tag, attr, value)
+
+    def handle_starttag(self, tag, attrs):
+        for name, value in attrs:
+            if name in ("href", "src", "config") and value:
+                self.refs.append((tag, name, value))
+
+
+def _local_path(ref: str) -> str | None:
+    """ローカルファイルへの参照なら、リポジトリルートからの相対パスを返す。"""
+    parsed = urlparse(ref)
+    if parsed.scheme or parsed.netloc or ref.startswith(("//", "#", "data:")):
+        return None
+    path = parsed.path
+    if not path:
+        return None
+    return path.removeprefix("./").lstrip("/")
+
+
+def _matches(pattern: str, rel: str) -> bool:
+    pattern = pattern.rstrip("/")
+    parts = rel.split("/")
+    candidates = ["/".join(parts[: i + 1]) for i in range(len(parts))]  # 親ディレクトリを含む
+    return any(fnmatch.fnmatch(c, pattern) or fnmatch.fnmatch(c.rsplit("/", 1)[-1], pattern) for c in candidates)
+
+
+def _is_published(rel: str, config: dict) -> bool:
+    includes = config.get("include", []) or []
+    excludes = config.get("exclude", []) or []
+    if any(_matches(p, rel) for p in excludes):
+        return False
+    for part_end in range(1, len(rel.split("/")) + 1):
+        sub = "/".join(rel.split("/")[:part_end])
+        name = sub.rsplit("/", 1)[-1]
+        if name.startswith(("_", ".", "#", "~")) and not any(
+            fnmatch.fnmatch(sub, p) or fnmatch.fnmatch(name, p) for p in includes
+        ):
+            return False
+    return True
+
+
+@pytest.fixture(scope="module")
+def jekyll_config():
+    return yaml.safe_load((REPO / "_config.yml").read_text(encoding="utf-8")) or {}
+
+
+def _assert_published(rel: str, config: dict, origin: str):
+    assert (REPO / rel).is_file(), f"{origin}: {rel} が存在しない"
+    assert _is_published(rel, config), f"{origin}: {rel} は Jekyll では公開されない（_config.yml の include/exclude を確認）"
+
+
+def test_index_html_references_are_published(jekyll_config):
+    parser = _RefParser()
+    parser.feed((REPO / "index.html").read_text(encoding="utf-8"))
+    local = [(t, a, p) for t, a, v in parser.refs if (p := _local_path(v))]
+    assert any(p == "css/style.css" for _, _, p in local)
+    assert any(p == "js/main.js" for _, _, p in local)
+    assert any(p == "py/main.py" for _, _, p in local)
+    for tag, attr, rel in local:
+        _assert_published(rel, jekyll_config, f"index.html <{tag} {attr}>")
+
+
+def test_pyscript_toml_files_are_published(jekyll_config):
+    cfg = tomllib.loads((REPO / "pyscript.toml").read_text(encoding="utf-8"))
+    files = cfg.get("files", {})
+    assert files, "[files] が定義されていない"
+    for src in files:
+        rel = _local_path(src)
+        assert rel, f"[files] の取得元がローカルパスではない: {src}"
+        _assert_published(rel, jekyll_config, "pyscript.toml [files]")
+    destinations = [d for d in files.values() if d]
+    assert len(destinations) == len(set(destinations)), "[files] の配置先が重複している"
+
+
+def test_every_mplgui_module_is_listed_in_pyscript_toml():
+    cfg = tomllib.loads((REPO / "pyscript.toml").read_text(encoding="utf-8"))
+    listed = {_local_path(src) for src in cfg.get("files", {})}
+    on_disk = {p.relative_to(REPO).as_posix() for p in (REPO / "py" / "mplgui").glob("*.py")}
+    assert on_disk <= listed, f"pyscript.toml [files] に無いモジュール: {sorted(on_disk - listed)}"
+
+
+def test_dev_files_are_not_published(jekyll_config):
+    for rel in ("tests/e2e/test_smoke.py", "pyproject.toml", "uv.lock", ".python-version", "docs/REQUIREMENTS.md", "AGENTS.md"):
+        assert not _is_published(rel, jekyll_config), f"{rel} が公開されてしまう"
+
+
+def test_publish_rules_sanity(jekyll_config):
+    assert _is_published("py/mplgui/__init__.py", jekyll_config)
+    assert not _is_published("py/mplgui/__init__.py", {})  # include が無ければ Jekyll は配信しない
+    assert not _is_published("_hidden/a.js", jekyll_config)
diff --git a/uv.lock b/uv.lock
index c690797..7ac725f 100644
--- a/uv.lock
+++ b/uv.lock
@@ -296,6 +296,7 @@ dev = [
     { name = "pandas" },
     { name = "pytest" },
     { name = "pytest-playwright" },
+    { name = "pyyaml" },
 ]
 
 [package.metadata]
@@ -308,6 +309,7 @@ dev = [
     { name = "pandas", specifier = "==3.0.2" },
     { name = "pytest", specifier = ">=9.1.1" },
     { name = "pytest-playwright", specifier = ">=0.9.0" },
+    { name = "pyyaml", specifier = ">=6.0.3" },
 ]
 
 [[package]]
@@ -544,6 +546,32 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/a4/62/02da182e544a51a5c3ccf4b03ab79df279f9c60c5e82d5e8bec7ca26ac11/python_slugify-8.0.4-py2.py3-none-any.whl", hash = "sha256:276540b79961052b66b7d116620b36518847f52d5fd9e3a70164fc8c50faa6b8", size = 10051, upload-time = "2024-02-08T18:32:43.911Z" },
 ]
 
+[[package]]
+name = "pyyaml"
+version = "6.0.3"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/05/8e/961c0007c59b8dd7729d542c61a4d537767a59645b82a0b521206e1e25c2/pyyaml-6.0.3.tar.gz", hash = "sha256:d76623373421df22fb4cf8817020cbb7ef15c725b9d5e45f17e189bfc384190f", size = 130960, upload-time = "2025-09-25T21:33:16.546Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/9d/8c/f4bd7f6465179953d3ac9bc44ac1a8a3e6122cf8ada906b4f96c60172d43/pyyaml-6.0.3-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:8d1fab6bb153a416f9aeb4b8763bc0f22a5586065f86f7664fc23339fc1c1fac", size = 181814, upload-time = "2025-09-25T21:32:35.712Z" },
+    { url = "https://files.pythonhosted.org/packages/bd/9c/4d95bb87eb2063d20db7b60faa3840c1b18025517ae857371c4dd55a6b3a/pyyaml-6.0.3-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:34d5fcd24b8445fadc33f9cf348c1047101756fd760b4dacb5c3e99755703310", size = 173809, upload-time = "2025-09-25T21:32:36.789Z" },
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+]
+
 [[package]]
 name = "requests"
 version = "2.34.2"

From 612d032e231d5eb3b0f2c284fd12481b4d697c5f Mon Sep 17 00:00:00 2001
From: mioupa <mioupa.org@gmail.com>
Date: Wed, 7 Oct 2026 18:07:59 +0900
Subject: [PATCH 12/37] Remove parentNode error suppression (A9)

Delete the JS window error/unhandledrejection/console.error handlers, the
success fallback in notify, and the Python parentNode branches. Unexpected
errors now always surface as an error status with details.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---
 js/main.js           |  2 --
 js/ui/notify.js      | 76 +----------------------------------------
 py/main.py           | 80 +++-----------------------------------------
 tests/e2e/helpers.py |  5 +--
 4 files changed, 7 insertions(+), 156 deletions(-)

diff --git a/js/main.js b/js/main.js
index a53f771..9f1b19f 100644
--- a/js/main.js
+++ b/js/main.js
@@ -1,6 +1,4 @@
 // エントリ。DOM 構築後（module は defer）に UI を初期化する。
-// notify.js は parentNode 系例外のハンドラを登録するため、必ず最初に import する。
-import "./ui/notify.js";
 import { scheduleLoad, scheduleRender } from "./bridge.js";
 import { bindColorPanelOutsideClick } from "./ui/colorPicker.js";
 import { bindCustomCodeEvents } from "./ui/customCode.js";
diff --git a/js/ui/notify.js b/js/ui/notify.js
index d4b8b35..5939030 100644
--- a/js/ui/notify.js
+++ b/js/ui/notify.js
@@ -1,31 +1,4 @@
-// ステータス表示と、parentNode 系例外の抑制・回復ハンドラ。
-// 他のモジュールより先に評価されるよう、main.js の先頭で import する。
-const __warn = console.warn.bind(console);
-const isTargetError = (msg) =>
-  typeof msg === "string" &&
-  (msg.includes("parentNode") || msg.includes("'NoneType' object has no attribute 'parentNode'"));
-
-const logSuppressed = (where, msg, stack = "") => {
-  try {
-    __warn("[mplgui] suppressed parentNode error:", where, String(msg));
-  } catch (_) {}
-};
-
-const buildJsErrorDetail = (source, msg, stack = "", extras = []) => {
-  const lines = [`source: ${source}`];
-  if (msg) lines.push(`message: ${msg}`);
-  for (const extra of extras) {
-    if (extra) lines.push(extra);
-  }
-  const normalizedStack = typeof stack === "string" ? stack.trim() : "";
-  if (normalizedStack) {
-    lines.push("");
-    lines.push("stack:");
-    lines.push(normalizedStack);
-  }
-  return lines.join("\n");
-};
-
+// ステータス表示。
 export const setStatus = (message, isError = false, detail = "") => {
   const status = document.getElementById("status");
   if (status) {
@@ -47,50 +20,3 @@ export const setStatus = (message, isError = false, detail = "") => {
     detailWrap.open = false;
   }
 };
-
-export const notify = (detail = "") => {
-  const plotArea = document.getElementById("plotArea");
-  const hasPlot = !!(plotArea && plotArea.querySelector("img"));
-  if (hasPlot) {
-    setStatus("描画に成功しました。");
-  } else {
-    setStatus("内部エラーを自動回避しました。もう一度操作してください。", true, detail);
-  }
-};
-
-window.addEventListener("error", (event) => {
-  const msg = event?.message || "";
-  if (isTargetError(msg)) {
-    event.preventDefault();
-    const stack = event?.error?.stack || "";
-    logSuppressed("window.error", msg, stack);
-    const extras = [
-      event?.filename ? `file: ${event.filename}` : "",
-      event?.lineno ? `line: ${event.lineno}` : "",
-      event?.colno ? `column: ${event.colno}` : "",
-    ];
-    notify(buildJsErrorDetail("window.error", msg, stack, extras));
-  }
-});
-
-window.addEventListener("unhandledrejection", (event) => {
-  const reason = event?.reason;
-  const msg = (reason && (reason.message || String(reason))) || "";
-  if (isTargetError(msg)) {
-    event.preventDefault();
-    const stack = reason?.stack || "";
-    logSuppressed("window.unhandledrejection", msg, stack);
-    notify(buildJsErrorDetail("window.unhandledrejection", msg, stack));
-  }
-});
-
-const originalConsoleError = console.error.bind(console);
-console.error = (...args) => {
-  const msg = args.map((x) => String(x)).join(" ");
-  if (isTargetError(msg)) {
-    logSuppressed("console.error", msg, new Error().stack || "");
-    notify(buildJsErrorDetail("console.error", msg));
-    return;
-  }
-  originalConsoleError(...args);
-};
diff --git a/py/main.py b/py/main.py
index 0c157ef..2abd454 100644
--- a/py/main.py
+++ b/py/main.py
@@ -138,33 +138,9 @@ def _format_internal_error_detail(exc: Exception, context: str) -> str:
     return "\n".join(lines)
 
 
-def _is_parentnode_error(exc: Exception) -> bool:
-    text = str(exc)
-    return ("parentNode" in text) or ("NoneType" in text and "parentNode" in text)
-
-
-def _log_suppressed(where: str, exc) -> None:
-    try:
-        from js import console
-        if False:
-            console.warn("[mplgui] suppressed parentNode error:", where, str(exc), traceback.format_exc())
-        else:
-            console.warn("[mplgui] suppressed parentNode error:", where, str(exc))
-    except Exception:
-        pass
-
-
 def _safe_close_figure(fig) -> None:
-    if fig is None:
-        return
-    try:
+    if fig is not None:
         plt.close(fig)
-    except Exception as exc:
-        # Pyodide/ブラウザ描画バックエンドの後処理競合は無視する
-        if _is_parentnode_error(exc):
-            _log_suppressed("_safe_close_figure", exc)
-            return
-        raise
 
 
 def _switch_tab(tab_name: str) -> None:
@@ -201,21 +177,8 @@ def _consume_done(finished_task):
         try:
             finished_task.result()
         except Exception as exc:
-            if _is_parentnode_error(exc):
-                _log_suppressed("_spawn_task", exc)
-                try:
-                    if _has_rendered_plot():
-                        set_status("描画に成功しました。")
-                    else:
-                        detail = _format_internal_error_detail(exc, "async task callback")
-                        set_status("内部エラーを自動回避しました。もう一度操作してください。", True, detail)
-                except Exception:
-                    pass
-            else:
-                try:
-                    set_status(str(exc), True)
-                except Exception:
-                    pass
+            detail = _format_internal_error_detail(exc, "async task callback")
+            set_status("内部エラーが発生しました。もう一度操作してください。", True, detail)
 
     task.add_done_callback(_consume_done)
 
@@ -645,13 +608,6 @@ def _render_plot_image(fig) -> None:
     plot_area.innerHTML = f'<img alt="plot" src="data:image/png;base64,{encoded}" />'
 
 
-def _has_rendered_plot() -> bool:
-    plot_area = document.getElementById("plotArea")
-    if plot_area is None:
-        return False
-    return plot_area.querySelector("img") is not None
-
-
 def on_tab_plot(event=None):
     _switch_tab("plot")
 
@@ -970,11 +926,6 @@ async def on_load_columns(event=None):
     except Exception as exc:
         CURRENT_DF = None
         _set_data_ready(False)
-        if _is_parentnode_error(exc):
-            _log_suppressed("on_load_columns", exc)
-            detail = _format_internal_error_detail(exc, "on_load_columns")
-            set_status("内部エラーを自動回避しました。もう一度同じ操作を実行してください。", True, detail)
-            return
         set_status(str(exc), True)
 
 
@@ -1247,14 +1198,6 @@ async def on_render(event=None):
         _set_data_ready(True)
         set_status(f"描画に成功しました（{plotted_count}系列、スキップ{skip_rows}行）。")
     except Exception as exc:
-        if _is_parentnode_error(exc):
-            _log_suppressed("on_render", exc)
-            if _has_rendered_plot():
-                set_status("描画に成功しました。")
-            else:
-                detail = _format_internal_error_detail(exc, "on_render")
-                set_status("内部エラーを自動回避しました。もう一度描画を実行してください。", True, detail)
-            return
         set_status(str(exc), True)
     finally:
         _safe_close_figure(fig)
@@ -1275,11 +1218,6 @@ async def on_save_plot(event=None):
         window.downloadDataUri(filename, data_uri)
         set_status(f"描画データを保存しました: {filename}")
     except Exception as exc:
-        if _is_parentnode_error(exc):
-            _log_suppressed("on_save_plot", exc)
-            detail = _format_internal_error_detail(exc, "on_save_plot")
-            set_status("内部エラーを自動回避しました。もう一度保存を実行してください。", True, detail)
-            return
         set_status(str(exc), True)
     finally:
         _safe_close_figure(fig)
@@ -1330,13 +1268,5 @@ def trigger_render(event=None):
 _switch_tab("plot")
 if hasattr(window, "ensureSeriesItems"):
     window.ensureSeriesItems()
-try:
-    _register_js_api()
-    _bind_events()
-except Exception as exc:
-    if _is_parentnode_error(exc):
-        _log_suppressed("initialization", exc)
-        detail = _format_internal_error_detail(exc, "initialization")
-        set_status("内部エラーを自動回避しました。ページを再読み込みして再試行してください。", True, detail)
-    else:
-        set_status(f"初期化エラー: {exc}", True)
+_register_js_api()
+_bind_events()
diff --git a/tests/e2e/helpers.py b/tests/e2e/helpers.py
index 832fc4d..936ef49 100644
--- a/tests/e2e/helpers.py
+++ b/tests/e2e/helpers.py
@@ -33,11 +33,8 @@ def _add(self, kind, text):
     def mark(self, stage):
         self.stage = stage
 
-    def parentnode(self):
-        return [e for e in self.events if "parentNode" in e[3]]
-
     def report(self):
-        print(f"\n[console-errors] total={len(self.events)} parentNode={len(self.parentnode())}")
+        print(f"\n[console-errors] total={len(self.events)}")
         for t, stage, kind, text in self.events:
             print(f"  [{t}s][{stage}][{kind}] {text}")
 

From d2d7d31be20b37f2b2043d98b200336af01b276d Mon Sep 17 00:00:00 2001
From: mioupa <mioupa.org@gmail.com>
Date: Wed, 7 Oct 2026 18:21:20 +0900
Subject: [PATCH 13/37] Move UI state to a JS settings object; make Python
 logic pure functions

JS: defaults.js, state.js (single source of truth), bridge.js (JSON calls,
debounced scheduling), ui/* bind inputs to the state and render payloads.
Python: errors, settings (schema v1, Japanese validation), plotting
(transitional create_figure), api (JSON in/out); loader/runner/fonts are
pure. py/main.py only registers window.mplgui. Unit tests added.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---
 index.html                         |    2 +-
 js/bridge.js                       |  220 ++++-
 js/defaults.js                     |   54 ++
 js/main.js                         |   87 +-
 js/state.js                        |   79 ++
 js/ui/colorPicker.js               |   57 +-
 js/ui/customCode.js                |   66 +-
 js/ui/dataPreview.js               |   33 +
 js/ui/forms.js                     |   75 ++
 js/ui/notify.js                    |    1 +
 js/ui/plotView.js                  |   10 +
 js/ui/saveFormat.js                |   34 +-
 js/ui/series.js                    |  346 +++-----
 js/ui/tabs.js                      |   24 +
 py/main.py                         | 1289 +---------------------------
 py/mplgui/api.py                   |  139 +++
 py/mplgui/errors.py                |   22 +
 py/mplgui/fonts.py                 |   29 +-
 py/mplgui/loader.py                |  107 ++-
 py/mplgui/plotting.py              |  417 +++++++++
 py/mplgui/runner.py                |  279 +++++-
 py/mplgui/settings.py              |  459 ++++++++++
 pyscript.toml                      |    4 +
 tests/e2e/helpers.py               |   38 +-
 tests/unit/conftest.py             |   30 +
 tests/unit/test_api.py             |   98 +++
 tests/unit/test_defaults_parity.py |   32 +
 tests/unit/test_loader.py          |  115 +++
 tests/unit/test_mplgui_modules.py  |   39 +-
 tests/unit/test_pages_publish.py   |   14 +
 tests/unit/test_plotting.py        |  323 +++++++
 tests/unit/test_runner.py          |  171 ++++
 tests/unit/test_settings.py        |  215 +++++
 33 files changed, 3173 insertions(+), 1735 deletions(-)
 create mode 100644 js/defaults.js
 create mode 100644 js/state.js
 create mode 100644 js/ui/dataPreview.js
 create mode 100644 js/ui/forms.js
 create mode 100644 js/ui/plotView.js
 create mode 100644 js/ui/tabs.js
 create mode 100644 py/mplgui/api.py
 create mode 100644 py/mplgui/errors.py
 create mode 100644 py/mplgui/plotting.py
 create mode 100644 py/mplgui/settings.py
 create mode 100644 tests/unit/conftest.py
 create mode 100644 tests/unit/test_api.py
 create mode 100644 tests/unit/test_defaults_parity.py
 create mode 100644 tests/unit/test_loader.py
 create mode 100644 tests/unit/test_plotting.py
 create mode 100644 tests/unit/test_runner.py
 create mode 100644 tests/unit/test_settings.py

diff --git a/index.html b/index.html
index 64b89ba..176ce2a 100644
--- a/index.html
+++ b/index.html
@@ -1,5 +1,5 @@
 <!doctype html>
-<html lang="ja">
+<html lang="ja" data-app-state="starting">
   <head>
     <meta charset="UTF-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
diff --git a/js/bridge.js b/js/bridge.js
index ff8cf21..4b07121 100644
--- a/js/bridge.js
+++ b/js/bridge.js
@@ -1,52 +1,210 @@
-// Python 側（PyScript）との橋渡し。Python は window 上の関数を直接呼ぶため window に公開する。
-window.__matplotDataReady = false;
-window.setMatplotDataReady = (ready) => {
-  window.__matplotDataReady = !!ready;
-};
-window.downloadDataUri = (filename, dataUri) => {
-  if (!filename || !dataUri) return;
-  const link = document.createElement("a");
-  link.href = dataUri;
-  link.download = filename;
-  document.body.appendChild(link);
-  link.click();
-  link.remove();
-};
+// Python（window.mplgui）との唯一の窓口。設定は JSON 文字列で渡し、結果の JSON を UI へ反映する。
+// - 再描画は設定変更の 250ms 後（デバウンス）、読込はファイル/ヘッダ 0ms・区切り文字 450ms。保存設定の変更では再描画しない。
+// - 描画の要求はすべてここを通る（世代番号・合体・起動待ちキューは Step 5 でここに足す）。
+import { subscribe, toJson, getSettings } from "./state.js";
+import { setStatus } from "./ui/notify.js";
+import { showPlot } from "./ui/plotView.js";
+import { showPreview } from "./ui/dataPreview.js";
+import { setColumns } from "./ui/series.js";
+
+const RENDER_DELAY_MS = 250;
+const LOAD_DELAY_MS = { file: 0, header: 0, delimiter: 450 };
+const JP_FONT_URL = "https://cdn.jsdelivr.net/gh/googlefonts/noto-cjk@main/Sans/OTF/Japanese/NotoSansCJKjp-Regular.otf";
 
+const root = document.documentElement;
+let api = null; // window.mplgui（Python 側が登録）
+let selectedFile = null;
+let dataReady = false;
 let renderTimer = null;
 let loadTimer = null;
+let renderGeneration = 0;
+let loadGeneration = 0;
+let customCodeProvider = () => null; // 有効なカスタムコードの文字列、無効なら null
+let readyCallbacks = [];
+let fontPromise = null;
+
+const setDataState = (state) => {
+  dataReady = state === "ready";
+  root.dataset.dataState = state; // none | loading | ready | error
+};
+const setRenderState = (state) => {
+  root.dataset.renderState = state; // idle | pending | rendering
+};
 
+export const isPythonReady = () => api !== null;
+export const canAutoRender = () => dataReady;
+export const setCustomCodeProvider = (fn) => {
+  customCodeProvider = fn;
+};
+
+const callPython = (name, ...args) => JSON.parse(api[name](...args));
 
-export const hasSelectedFile = () => {
-  const fileInput = document.getElementById("fileInput");
-  return !!(fileInput && fileInput.files && fileInput.files.length > 0);
+const reportError = (error) => {
+  setStatus(error.message, true, error.detail || "");
 };
-export const canAutoRender = () => !!window.__matplotDataReady;
-export const runPyAction = (name) => {
-  const fn = window[name];
-  if (typeof fn === "function") {
-    fn();
-    return true;
+const reportException = (err, context) => {
+  const detail = `context: ${context}\n${err && err.stack ? err.stack : String(err)}`;
+  setStatus("内部エラーが発生しました。もう一度操作してください。", true, detail);
+};
+
+// 日本語フォントは初回の描画前に1回だけ取得する。失敗しても描画は継続する（A6 で font-cache.js に置き換える）。
+const ensureFont = () => {
+  if (!fontPromise) {
+    fontPromise = (async () => {
+      try {
+        const response = await fetch(JP_FONT_URL);
+        if (!response.ok) return;
+        const bytes = new Uint8Array(await response.arrayBuffer());
+        api.registerFont(bytes);
+      } catch (_) {
+        // フォールバックフォントで継続する
+      }
+    })();
+  }
+  return fontPromise;
+};
+
+const doRender = async () => {
+  if (!api) return;
+  const generation = ++renderGeneration;
+  root.dataset.renderGeneration = String(generation);
+  setRenderState("rendering");
+  try {
+    await ensureFont();
+    if (generation !== renderGeneration) return; // 新しい要求が出ている
+    const result = callPython("render", toJson(), customCodeProvider());
+    if (generation !== renderGeneration) return;
+    if (result.ok) {
+      showPlot(result.image, generation);
+      setStatus(`描画に成功しました（${result.seriesCount}系列、スキップ${result.skipRows}行）。`);
+    } else {
+      reportError(result.error);
+    }
+  } catch (err) {
+    if (generation === renderGeneration) reportException(err, "render");
+  } finally {
+    if (generation === renderGeneration) setRenderState("idle");
+  }
+};
+
+const doLoad = async () => {
+  if (!api || !selectedFile) return;
+  const generation = ++loadGeneration;
+  setDataState("loading");
+  try {
+    const bytes = new Uint8Array(await selectedFile.arrayBuffer());
+    if (generation !== loadGeneration) return;
+    const loadJson = JSON.stringify({ version: getSettings().version, load: getSettings().load });
+    const result = callPython("loadFile", selectedFile.name, bytes, loadJson);
+    if (generation !== loadGeneration) return;
+    if (!result.ok) {
+      setDataState("error");
+      reportError(result.error);
+      return;
+    }
+    setColumns(result.columns);
+    showPreview(result.preview);
+    setDataState("ready");
+    setStatus("");
+    await doRender();
+  } catch (err) {
+    if (generation === loadGeneration) {
+      setDataState("error");
+      reportException(err, "loadFile");
+    }
   }
-  return false;
 };
 
-export const scheduleRender = (delay = 250) => {
+export const scheduleRender = (delay = RENDER_DELAY_MS) => {
   if (renderTimer) window.clearTimeout(renderTimer);
+  setRenderState("pending");
   renderTimer = window.setTimeout(() => {
     renderTimer = null;
-    if (canAutoRender()) {
-      runPyAction("requestRender");
+    if (api && canAutoRender()) {
+      doRender();
+    } else {
+      setRenderState("idle");
     }
   }, delay);
 };
 
-export const scheduleLoad = (delay = 350) => {
-  if (!hasSelectedFile()) return;
+export const scheduleLoad = (delay = LOAD_DELAY_MS.file) => {
+  if (!selectedFile) return;
+  setDataState("loading"); // 読込が済むまで自動再描画は止める
   if (loadTimer) window.clearTimeout(loadTimer);
   loadTimer = window.setTimeout(() => {
     loadTimer = null;
-    window.setMatplotDataReady(false);
-    runPyAction("requestLoadColumns");
+    doLoad();
   }, delay);
 };
+
+export const renderNow = () => {
+  if (api && canAutoRender()) doRender();
+};
+
+export const selectFile = (file) => {
+  selectedFile = file || null;
+  scheduleLoad(LOAD_DELAY_MS.file);
+};
+
+const downloadDataUri = (filename, dataUri) => {
+  if (!filename || !dataUri) return;
+  const link = document.createElement("a");
+  link.href = dataUri;
+  link.download = filename;
+  document.body.appendChild(link);
+  link.click();
+  link.remove();
+};
+
+export const saveNow = async () => {
+  if (!api) return;
+  try {
+    await ensureFont();
+    const result = callPython("save", toJson(), customCodeProvider());
+    if (!result.ok) {
+      reportError(result.error);
+      return;
+    }
+    downloadDataUri(result.filename, result.dataUri);
+    setStatus(`描画データを保存しました: ${result.filename}`);
+  } catch (err) {
+    reportException(err, "save");
+  }
+};
+
+export const getDefaultCustomCode = () => (api ? api.defaultCustomCode() : "");
+export const onPythonReady = (fn) => {
+  if (api) fn();
+  else readyCallbacks.push(fn);
+};
+
+const handlePythonReady = () => {
+  if (api || !window.mplgui) return;
+  api = window.mplgui;
+  root.dataset.appState = "ready";
+  const callbacks = readyCallbacks;
+  readyCallbacks = [];
+  for (const fn of callbacks) fn();
+  scheduleLoad(LOAD_DELAY_MS.file); // 起動前に選ばれたファイルがあれば読み込む
+};
+
+// 設定の変更を、読込・再描画・無視のどれにするか振り分ける
+const routeChange = (_settings, change) => {
+  if (change.origin !== "user") return;
+  const path = change.kind === "path" ? change.path : "series";
+  if (path.startsWith("load.")) {
+    scheduleLoad(path === "load.delimiter" ? LOAD_DELAY_MS.delimiter : LOAD_DELAY_MS.header);
+  } else if (!path.startsWith("save.")) {
+    scheduleRender();
+  }
+};
+
+export const initBridge = () => {
+  root.dataset.appState = root.dataset.appState || "starting";
+  setDataState("none");
+  setRenderState("idle");
+  subscribe(routeChange);
+  if (window.mplgui) handlePythonReady();
+  else window.addEventListener("mplgui-ready", handlePythonReady, { once: true });
+};
diff --git a/js/defaults.js b/js/defaults.js
new file mode 100644
index 0000000..8a1f8c2
--- /dev/null
+++ b/js/defaults.js
@@ -0,0 +1,54 @@
+// 設定オブジェクトの既定値。純粋な ES module（DOM に触れない）。
+// py/mplgui/settings.py の default_settings() と同一でなければならない（tests/unit/test_defaults_parity.py が比較する）。
+
+export const SCHEMA_VERSION = 1;
+
+// UDカラーセット（系列の既定色の候補。この順で未使用の色を割り当てる）
+export const PALETTE = [
+  "#FF4B00",
+  "#005AFF",
+  "#03AF7A",
+  "#4DC4FF",
+  "#F6AA00",
+  "#FFF100",
+  "#990099",
+  "#84919E",
+  "#000000",
+  "#804000",
+  "#FF8082",
+];
+
+export const DEFAULT_SERIES = {
+  id: "s1",
+  x: "",
+  y: "",
+  color: "#FF4B00",
+  lineWidth: 2,
+  lineStyle: "solid",
+  markerSize: null,
+  label: "",
+  secondaryAxis: false,
+};
+
+export const DEFAULT_SETTINGS = {
+  version: SCHEMA_VERSION,
+  load: { delimiter: "", hasHeader: true },
+  plot: {
+    type: "line",
+    skipRows: 0,
+    xColumn: "",
+    title: "",
+    fontSize: 15,
+    figure: { width: 8, height: 6 },
+    legend: { location: "best" },
+    grid: { major: false, minor: false },
+    margins: { left: null, right: null, bottom: null, top: null },
+  },
+  axes: {
+    x: { label: "", scale: "linear", min: null, max: null },
+    y: { label: "", scale: "linear", min: null, max: null },
+    y2: { label: "", scale: "linear", min: null, max: null },
+  },
+  series: [DEFAULT_SERIES],
+  save: { filename: "", format: "png", transparent: false },
+};
diff --git a/js/main.js b/js/main.js
index 9f1b19f..7baba3c 100644
--- a/js/main.js
+++ b/js/main.js
@@ -1,73 +1,40 @@
-// エントリ。DOM 構築後（module は defer）に UI を初期化する。
-import { scheduleLoad, scheduleRender } from "./bridge.js";
+// エントリ。DOM 構築後（module は defer）に UI を設定オブジェクトへ結び付ける。
+//   画面の入力 → state.js（設定オブジェクト）→ bridge.js が JSON で Python を呼ぶ → 結果を ui/* が描く
+import { subscribe } from "./state.js";
+import { getDefaultCustomCode, initBridge, onPythonReady, saveNow, selectFile } from "./bridge.js";
 import { bindColorPanelOutsideClick } from "./ui/colorPicker.js";
-import { bindCustomCodeEvents } from "./ui/customCode.js";
-import { syncSaveFormatOptions, bindSaveFormatEvents } from "./ui/saveFormat.js";
-import {
-  bindSeriesEvents,
-  syncMarkerSizeForPlotType,
-  syncPlotTypeUI,
-  syncY2LabelUI,
-} from "./ui/series.js";
-// series.js は window.ensureSeriesItems / window.refreshSeriesColumnOptions を公開する。
-// bridge.js は window.setMatplotDataReady / window.downloadDataUri / window.__matplotDataReady を公開する。
-// Python 側が登録する window.requestRender / window.requestLoadColumns は bridge.js から呼ぶ。
+import { bindCustomCodeEvents, initDefaultCode } from "./ui/customCode.js";
+import { applyStateToForm, bindForms } from "./ui/forms.js";
+import { bindSaveFormatEvents, syncSaveFormatOptions } from "./ui/saveFormat.js";
+import { bindSeriesEvents, renderSeriesList, setColumns, syncMarkerSizeDisplay, syncVisibility } from "./ui/series.js";
+import { bindTabs } from "./ui/tabs.js";
 
 const fileInput = document.getElementById("fileInput");
-const delimiterInput = document.getElementById("delimiter");
-const hasHeaderInput = document.getElementById("hasHeader");
-
 if (fileInput) {
-  fileInput.addEventListener("change", () => scheduleLoad(0));
-}
-if (delimiterInput) {
-  delimiterInput.addEventListener("input", () => scheduleLoad(450));
-}
-if (hasHeaderInput) {
-  hasHeaderInput.addEventListener("change", () => scheduleLoad(0));
+  fileInput.addEventListener("change", () => selectFile(fileInput.files && fileInput.files[0]));
 }
+const savePlotBtn = document.getElementById("savePlotBtn");
+if (savePlotBtn) savePlotBtn.addEventListener("click", () => saveNow());
 
+bindTabs();
+bindForms();
 bindSeriesEvents();
 bindSaveFormatEvents();
 bindCustomCodeEvents();
 bindColorPanelOutsideClick();
 
-const autoRenderIds = [
-  "xColumn",
-  "title",
-  "xLabel",
-  "yLabel",
-  "y2Label",
-  "xScale",
-  "yScale",
-  "xMin",
-  "xMax",
-  "yMin",
-  "yMax",
-  "y2Scale",
-  "y2Min",
-  "y2Max",
-  "fontSize",
-  "showMajorGrid",
-  "showMinorGrid",
-  "legendLocation",
-  "figWidth",
-  "figHeight",
-  "subplotLeft",
-  "subplotRight",
-  "subplotBottom",
-  "subplotTop",
-  "skipRows",
-];
-for (const id of autoRenderIds) {
-  const el = document.getElementById(id);
-  if (!el) continue;
-  el.addEventListener("input", () => scheduleRender());
-  el.addEventListener("change", () => scheduleRender());
-}
+// state の変更に応じた画面の更新（再描画・読込の予約は bridge.js が購読して行う）
+subscribe((_settings, change) => {
+  if (change.kind === "series-list") {
+    renderSeriesList();
+  } else {
+    syncVisibility();
+    if (change.kind === "path" && change.path === "plot.type") syncMarkerSizeDisplay();
+  }
+});
 
-window.ensureSeriesItems();
-syncPlotTypeUI();
-syncMarkerSizeForPlotType();
-syncY2LabelUI();
+applyStateToForm();
+setColumns([]);
 syncSaveFormatOptions();
+initBridge();
+onPythonReady(() => initDefaultCode(getDefaultCustomCode()));
diff --git a/js/state.js b/js/state.js
new file mode 100644
index 0000000..0955792
--- /dev/null
+++ b/js/state.js
@@ -0,0 +1,79 @@
+// 設定オブジェクト（単一の正）。画面の入力はすべてここへ書き込み、描画・読込はここから JSON を作る。
+// DOM には触れない。変更は subscribe で購読する。
+import { DEFAULT_SERIES, DEFAULT_SETTINGS, PALETTE } from "./defaults.js";
+
+const clone = (value) => JSON.parse(JSON.stringify(value));
+
+let settings = clone(DEFAULT_SETTINGS);
+let seriesCounter = 1; // 系列 id は連番で払い出し、削除しても再利用しない
+const listeners = new Set();
+
+export const getSettings = () => settings;
+export const toJson = () => JSON.stringify(settings);
+
+export const subscribe = (fn) => {
+  listeners.add(fn);
+  return () => listeners.delete(fn);
+};
+
+const notify = (change) => {
+  for (const fn of Array.from(listeners)) fn(settings, change);
+};
+
+// "plot.figure.width" のようなパスの値を返す
+export const getPath = (path, source = settings) => path.split(".").reduce((obj, key) => (obj == null ? undefined : obj[key]), source);
+
+const assign = (target, path, value) => {
+  const keys = path.split(".");
+  const last = keys.pop();
+  let obj = target;
+  for (const key of keys) obj = obj[key];
+  obj[last] = value;
+};
+
+// origin: "user"（既定。変更の通知先で再描画等を予約する）| "reconcile"（読込後の整合のため。再描画は呼び出し側が行う）
+export const setPath = (path, value, origin = "user") => {
+  if (getPath(path) === value) return;
+  assign(settings, path, value);
+  notify({ kind: "path", path, origin });
+};
+
+const findSeries = (id) => settings.series.find((s) => s.id === id);
+
+export const updateSeries = (id, patch, origin = "user") => {
+  const series = findSeries(id);
+  if (!series) return;
+  let changed = false;
+  for (const [key, value] of Object.entries(patch)) {
+    if (series[key] !== value) {
+      series[key] = value;
+      changed = true;
+    }
+  }
+  if (changed) notify({ kind: "series-field", id, fields: Object.keys(patch), origin });
+};
+
+// 既定色: パレットのうち未使用の最初の色。すべて使用済みなら系列数で循環する。
+export const nextSeriesColor = () => {
+  const used = new Set(settings.series.map((s) => String(s.color).toUpperCase()));
+  const free = PALETTE.find((c) => !used.has(c.toUpperCase()));
+  return free || PALETTE[settings.series.length % PALETTE.length];
+};
+
+export const addSeries = (preset = {}) => {
+  seriesCounter += 1;
+  const series = { ...clone(DEFAULT_SERIES), color: nextSeriesColor(), ...preset, id: `s${seriesCounter}` };
+  settings.series.push(series);
+  notify({ kind: "series-list", origin: "user" });
+  return series;
+};
+
+export const removeSeries = (id) => {
+  if (settings.series.length <= 1) return;
+  const idx = settings.series.findIndex((s) => s.id === id);
+  if (idx < 0) return;
+  settings.series.splice(idx, 1);
+  notify({ kind: "series-list", origin: "user" });
+};
+
+export const hasSecondaryAxis = () => settings.series.some((s) => s.secondaryAxis);
diff --git a/js/ui/colorPicker.js b/js/ui/colorPicker.js
index b43adc8..bc96405 100644
--- a/js/ui/colorPicker.js
+++ b/js/ui/colorPicker.js
@@ -1,23 +1,18 @@
-// 系列ごとの色選択UI（オーバーレイパネル）。
-import { scheduleRender } from "../bridge.js";
+// 系列ごとの色選択UI（オーバーレイパネル）。選んだ色は onChange(color) で呼び出し側（state）へ渡す。
+import { PALETTE } from "../defaults.js";
 
-const seriesList = document.getElementById("seriesList");
+const normalizeColor = (value) => String(value || "").trim().toUpperCase();
 
-export const SERIES_COLORS = [
-  "#FF4B00",
-  "#005AFF",
-  "#03AF7A",
-  "#4DC4FF",
-  "#F6AA00",
-  "#FFF100",
-  "#990099",
-  "#84919E",
-  "#000000",
-  "#804000",
-  "#FF8082",
-];
+const closeAllColorPanels = (exceptPanel = null) => {
+  const seriesList = document.getElementById("seriesList");
+  if (!seriesList) return;
+  for (const p of seriesList.querySelectorAll(".series-color-panel")) {
+    if (exceptPanel && p === exceptPanel) continue;
+    p.classList.add("hidden");
+  }
+};
 
-export const bindSeriesColorControls = (item) => {
+export const bindSeriesColorControls = (item, onChange) => {
   const trigger = item.querySelector(".series-color-trigger");
   const panel = item.querySelector(".series-color-panel");
   const grid = item.querySelector(".series-color-grid");
@@ -27,33 +22,20 @@ export const bindSeriesColorControls = (item) => {
   const valueLabel = item.querySelector(".series-color-value");
   if (!trigger || !panel || !grid || !customToggle || !colorInput || !swatch || !valueLabel) return;
 
-  const closeAllColorPanels = (exceptPanel = null) => {
-    if (!seriesList) return;
-    const panels = seriesList.querySelectorAll(".series-color-panel");
-    for (const p of panels) {
-      if (exceptPanel && p === exceptPanel) continue;
-      p.classList.add("hidden");
-    }
-  };
-
-  const normalizeColor = (value) => String(value || "").trim().toUpperCase();
-
   const syncSeriesColorView = () => {
     const current = normalizeColor(colorInput.value);
     swatch.style.backgroundColor = current || "#000000";
     valueLabel.textContent = current || "#000000";
 
-    const isPaletteColor = SERIES_COLORS.some((c) => normalizeColor(c) === current);
+    const isPaletteColor = PALETTE.some((c) => normalizeColor(c) === current);
     colorInput.classList.toggle("hidden", isPaletteColor);
-    const chips = grid.querySelectorAll(".series-color-chip");
-    for (const chip of chips) {
-      const chipColor = normalizeColor(chip.dataset.color);
-      chip.classList.toggle("active", chipColor === current);
+    for (const chip of grid.querySelectorAll(".series-color-chip")) {
+      chip.classList.toggle("active", normalizeColor(chip.dataset.color) === current);
     }
   };
 
   grid.innerHTML = "";
-  for (const color of SERIES_COLORS) {
+  for (const color of PALETTE) {
     const chip = document.createElement("button");
     chip.type = "button";
     chip.className = "series-color-chip";
@@ -64,7 +46,7 @@ export const bindSeriesColorControls = (item) => {
       colorInput.value = color;
       syncSeriesColorView();
       panel.classList.add("hidden");
-      scheduleRender();
+      onChange(color);
     });
     grid.appendChild(chip);
   }
@@ -86,6 +68,7 @@ export const bindSeriesColorControls = (item) => {
 
   colorInput.addEventListener("input", () => {
     syncSeriesColorView();
+    onChange(colorInput.value);
   });
 
   syncSeriesColorView();
@@ -94,11 +77,11 @@ export const bindSeriesColorControls = (item) => {
 // パネル外クリックでオーバーレイを閉じる
 export const bindColorPanelOutsideClick = () => {
   document.addEventListener("click", (event) => {
+    const seriesList = document.getElementById("seriesList");
     if (!seriesList) return;
     const target = event.target;
     if (target && target.closest(".series-color-picker")) return;
-    const panels = seriesList.querySelectorAll(".series-color-panel");
-    for (const panel of panels) {
+    for (const panel of seriesList.querySelectorAll(".series-color-panel")) {
       panel.classList.add("hidden");
     }
   });
diff --git a/js/ui/customCode.js b/js/ui/customCode.js
index 7ba9228..574a9be 100644
--- a/js/ui/customCode.js
+++ b/js/ui/customCode.js
@@ -1,41 +1,45 @@
-// Pythonコード(beta)タブのボタン・ショートカット。
-import { canAutoRender, runPyAction, scheduleRender } from "../bridge.js";
+// Pythonコード(beta)タブ。コード本文と「使用する」は設定オブジェクトには入れず、描画要求のたびに別引数で渡す。
+import { canAutoRender, renderNow, scheduleRender, setCustomCodeProvider } from "../bridge.js";
 
-const customCodeInput = document.getElementById("customPyCode");
-const useCustomCodeInput = document.getElementById("useCustomCode");
-const applyCustomCodeBtn = document.getElementById("applyCustomCodeBtn");
-const resetCustomCodeBtn = document.getElementById("resetCustomCodeBtn");
+const customCodeInput = () => document.getElementById("customPyCode");
+const useCustomCodeInput = () => document.getElementById("useCustomCode");
+
+// 有効時はコード文字列、無効時は null
+export const getCustomCode = () => {
+  const use = useCustomCodeInput();
+  const editor = customCodeInput();
+  return use && use.checked && editor ? String(editor.value || "") : null;
+};
+
+// Python 起動後に既定コードを入れる（未入力のときだけ）
+export const initDefaultCode = (defaultCode) => {
+  const editor = customCodeInput();
+  if (!editor) return;
+  editor.dataset.defaultCode = defaultCode;
+  if (!String(editor.value || "").trim()) editor.value = defaultCode;
+};
 
 export const bindCustomCodeEvents = () => {
-  if (useCustomCodeInput) {
-    useCustomCodeInput.addEventListener("change", () => scheduleRender(0));
-  }
-  if (applyCustomCodeBtn) {
-    applyCustomCodeBtn.addEventListener("click", () => {
-      if (canAutoRender()) {
-        runPyAction("requestRender");
-      }
-    });
-  }
-  if (resetCustomCodeBtn && customCodeInput) {
-    resetCustomCodeBtn.addEventListener("click", () => {
-      const defaultCode = customCodeInput.dataset.defaultCode || "";
-      customCodeInput.value = defaultCode;
-      if (useCustomCodeInput) {
-        useCustomCodeInput.checked = false;
-      }
-      if (canAutoRender()) {
-        runPyAction("requestRender");
-      }
+  setCustomCodeProvider(getCustomCode);
+  const use = useCustomCodeInput();
+  const editor = customCodeInput();
+  const applyBtn = document.getElementById("applyCustomCodeBtn");
+  const resetBtn = document.getElementById("resetCustomCodeBtn");
+
+  if (use) use.addEventListener("change", () => scheduleRender(0));
+  if (applyBtn) applyBtn.addEventListener("click", () => renderNow());
+  if (resetBtn && editor) {
+    resetBtn.addEventListener("click", () => {
+      editor.value = editor.dataset.defaultCode || "";
+      if (use) use.checked = false;
+      if (canAutoRender()) renderNow();
     });
   }
-  if (customCodeInput) {
-    customCodeInput.addEventListener("keydown", (event) => {
+  if (editor) {
+    editor.addEventListener("keydown", (event) => {
       if (!(event.ctrlKey || event.metaKey) || event.key !== "Enter") return;
       event.preventDefault();
-      if (canAutoRender()) {
-        runPyAction("requestRender");
-      }
+      renderNow();
     });
   }
 };
diff --git a/js/ui/dataPreview.js b/js/ui/dataPreview.js
new file mode 100644
index 0000000..3a04e54
--- /dev/null
+++ b/js/ui/dataPreview.js
@@ -0,0 +1,33 @@
+// データ確認タブの表（先頭100行。Python が返した preview ペイロードから組み立てる）。
+const el = (tag, text) => {
+  const node = document.createElement(tag);
+  if (text !== undefined) node.textContent = text;
+  return node;
+};
+
+export const showPreview = (preview) => {
+  const dataArea = document.getElementById("dataArea");
+  if (!dataArea) return;
+  const truncated = preview.truncated ? `（先頭${preview.limit}行のみ表示）` : "";
+  const meta = el("div", `行数: ${preview.totalRows} / 列数: ${preview.totalColumns} ${truncated}`);
+  meta.className = "data-meta";
+
+  const table = el("table");
+  table.border = "0";
+  table.className = "dataframe data-table";
+  const headRow = el("tr");
+  for (const name of preview.columns) headRow.appendChild(el("th", name));
+  table.appendChild(el("thead")).appendChild(headRow);
+  const body = el("tbody");
+  for (const row of preview.rows) {
+    const tr = el("tr");
+    for (const cell of row) tr.appendChild(el("td", cell));
+    body.appendChild(tr);
+  }
+  table.appendChild(body);
+
+  const wrap = el("div");
+  wrap.className = "table-wrap";
+  wrap.appendChild(table);
+  dataArea.replaceChildren(meta, wrap);
+};
diff --git a/js/ui/forms.js b/js/ui/forms.js
new file mode 100644
index 0000000..4785367
--- /dev/null
+++ b/js/ui/forms.js
@@ -0,0 +1,75 @@
+// 画面の入力欄 ⇄ 設定オブジェクトの対応表。入力は state に書き込み、初期表示は state から描く。
+import { getPath, setPath } from "../state.js";
+
+// [要素 id, 設定のパス, 種別]
+export const FIELDS = [
+  ["delimiter", "load.delimiter", "text"],
+  ["hasHeader", "load.hasHeader", "checkbox"],
+  ["plotType", "plot.type", "select"],
+  ["skipRows", "plot.skipRows", "number"],
+  ["xColumn", "plot.xColumn", "select"],
+  ["title", "plot.title", "text"],
+  ["xLabel", "axes.x.label", "text"],
+  ["yLabel", "axes.y.label", "text"],
+  ["y2Label", "axes.y2.label", "text"],
+  ["xScale", "axes.x.scale", "select"],
+  ["xMin", "axes.x.min", "number"],
+  ["xMax", "axes.x.max", "number"],
+  ["yScale", "axes.y.scale", "select"],
+  ["yMin", "axes.y.min", "number"],
+  ["yMax", "axes.y.max", "number"],
+  ["y2Scale", "axes.y2.scale", "select"],
+  ["y2Min", "axes.y2.min", "number"],
+  ["y2Max", "axes.y2.max", "number"],
+  ["fontSize", "plot.fontSize", "number"],
+  ["showMajorGrid", "plot.grid.major", "checkbox"],
+  ["showMinorGrid", "plot.grid.minor", "checkbox"],
+  ["legendLocation", "plot.legend.location", "select"],
+  ["figWidth", "plot.figure.width", "number"],
+  ["figHeight", "plot.figure.height", "number"],
+  ["subplotLeft", "plot.margins.left", "number"],
+  ["subplotRight", "plot.margins.right", "number"],
+  ["subplotBottom", "plot.margins.bottom", "number"],
+  ["subplotTop", "plot.margins.top", "number"],
+  ["saveFilename", "save.filename", "text"],
+  ["saveTransparent", "save.transparent", "checkbox"],
+  ["saveFormat", "save.format", "select"],
+];
+
+// 数値欄: 空 → null、数値 → number、数値にならない入力 → 文字列のまま（Python が日本語のエラーにする）
+export const readNumber = (input) => {
+  if (input.validity && input.validity.badInput) return "invalid";
+  const raw = input.value.trim();
+  if (raw === "") return null;
+  const num = Number(raw);
+  return Number.isFinite(num) ? num : raw;
+};
+
+export const readField = (el, kind) => {
+  if (kind === "checkbox") return el.checked;
+  if (kind === "number") return readNumber(el);
+  return el.value;
+};
+
+const writeField = (el, kind, value) => {
+  if (kind === "checkbox") el.checked = !!value;
+  else el.value = value === null || value === undefined ? "" : String(value);
+};
+
+// state → 画面（初期表示用。入力中の欄を書き換えないよう、通常の入力では呼ばない）
+export const applyStateToForm = () => {
+  for (const [id, path, kind] of FIELDS) {
+    const el = document.getElementById(id);
+    if (el) writeField(el, kind, getPath(path));
+  }
+};
+
+export const bindForms = () => {
+  for (const [id, path, kind] of FIELDS) {
+    const el = document.getElementById(id);
+    if (!el) continue;
+    const onEdit = () => setPath(path, readField(el, kind));
+    el.addEventListener("input", onEdit);
+    el.addEventListener("change", onEdit);
+  }
+};
diff --git a/js/ui/notify.js b/js/ui/notify.js
index 5939030..8654872 100644
--- a/js/ui/notify.js
+++ b/js/ui/notify.js
@@ -3,6 +3,7 @@ export const setStatus = (message, isError = false, detail = "") => {
   const status = document.getElementById("status");
   if (status) {
     status.textContent = message || "";
+    status.dataset.kind = !message ? "" : isError ? "error" : "ok";
     status.style.color = isError ? "var(--status-error)" : "var(--status-ok)";
   }
 
diff --git a/js/ui/plotView.js b/js/ui/plotView.js
new file mode 100644
index 0000000..aae1403
--- /dev/null
+++ b/js/ui/plotView.js
@@ -0,0 +1,10 @@
+// プロット画像の表示。
+export const showPlot = (dataUri, generation) => {
+  const plotArea = document.getElementById("plotArea");
+  if (!plotArea) return;
+  const img = document.createElement("img");
+  img.alt = "plot";
+  img.src = dataUri;
+  img.dataset.generation = String(generation);
+  plotArea.replaceChildren(img);
+};
diff --git a/js/ui/saveFormat.js b/js/ui/saveFormat.js
index b53602d..f732e75 100644
--- a/js/ui/saveFormat.js
+++ b/js/ui/saveFormat.js
@@ -1,34 +1,30 @@
-// 保存形式セレクトの選択肢（背景透過時は png / svg のみ）。
-const saveFormatSelect = document.getElementById("saveFormat");
-const saveTransparentInput = document.getElementById("saveTransparent");
+// 保存形式セレクトの選択肢（背景透過時は png / svg のみ）。選択肢が変わったら state の保存形式も追従させる。
+import { getSettings, setPath } from "../state.js";
 
 const SAVE_FORMATS_ALL = ["png", "jpg", "svg", "pdf"];
 const SAVE_FORMATS_TRANSPARENT = ["png", "svg"];
+
 export const syncSaveFormatOptions = () => {
-  if (!saveFormatSelect) return;
-  const allowTransparentOnly = !!(saveTransparentInput && saveTransparentInput.checked);
-  const formats = allowTransparentOnly ? SAVE_FORMATS_TRANSPARENT : SAVE_FORMATS_ALL;
-  const currentValue = (saveFormatSelect.value || "").toLowerCase();
+  const select = document.getElementById("saveFormat");
+  if (!select) return;
+  const formats = getSettings().save.transparent ? SAVE_FORMATS_TRANSPARENT : SAVE_FORMATS_ALL;
+  const current = String(getSettings().save.format || select.value || "").toLowerCase();
 
-  saveFormatSelect.innerHTML = "";
+  select.innerHTML = "";
   for (const fmt of formats) {
     const opt = document.createElement("option");
     opt.value = fmt;
     opt.textContent = fmt;
-    saveFormatSelect.appendChild(opt);
-  }
-
-  if (formats.includes(currentValue)) {
-    saveFormatSelect.value = currentValue;
-  } else {
-    saveFormatSelect.value = formats[0];
+    select.appendChild(opt);
   }
+  select.value = formats.includes(current) ? current : formats[0];
+  setPath("save.format", select.value);
 };
 
 export const bindSaveFormatEvents = () => {
-  if (saveTransparentInput) {
-    saveTransparentInput.addEventListener("change", () => {
-      syncSaveFormatOptions();
-    });
+  const transparent = document.getElementById("saveTransparent");
+  if (transparent) {
+    // forms.js の入力ハンドラ（state 更新）より後に走るよう、change を購読する
+    transparent.addEventListener("change", syncSaveFormatOptions);
   }
 };
diff --git a/js/ui/series.js b/js/ui/series.js
index c7f0157..36333a3 100644
--- a/js/ui/series.js
+++ b/js/ui/series.js
@@ -1,180 +1,72 @@
-// 系列カード（追加・削除・列セレクト・種別/第2軸に応じた表示切替）。
-import { scheduleRender } from "../bridge.js";
-import { SERIES_COLORS, bindSeriesColorControls } from "./colorPicker.js";
+// 系列カード（追加・削除・列セレクト・種別/第2軸に応じた表示切替）。カードは state の系列リストから描く。
+import { addSeries, getSettings, hasSecondaryAxis, removeSeries, updateSeries, setPath } from "../state.js";
+import { bindSeriesColorControls } from "./colorPicker.js";
+import { readNumber } from "./forms.js";
 
-const seriesList = document.getElementById("seriesList");
-const addSeriesBtn = document.getElementById("addSeriesBtn");
-const plotTypeSelect = document.getElementById("plotType");
-const globalXGroup = document.getElementById("globalXGroup");
-const xColumnSelect = document.getElementById("xColumn");
-const y2LabelGroup = document.getElementById("y2LabelGroup");
-const y2AxisSettingsGroup = document.getElementById("y2AxisSettingsGroup");
-let lastPlotType = plotTypeSelect ? plotTypeSelect.value : "line";
+let columns = []; // [{value: "__idx__0", label: "時間 [0]"}]（読込のたびに更新）
 
-const getColumnOptions = (includeIndex = false) => {
-  const xColumn = document.getElementById("xColumn");
-  if (!xColumn) return [];
-  const options = [];
-  for (const opt of xColumn.options) {
-    if (!includeIndex && !opt.value) continue;
-    options.push({ value: opt.value, label: opt.textContent || opt.value });
-  }
-  return options;
-};
-
-const fillSeriesYSelect = (selectEl, selectedValue = "") => {
-  if (!selectEl) return;
-  const columns = getColumnOptions(false);
-  selectEl.innerHTML = "";
+const esc = (text) =>
+  String(text).replace(/&/g, "&amp;").replace(/</g, "&lt;").replace(/>/g, "&gt;").replace(/"/g, "&quot;");
 
-  const autoOption = document.createElement("option");
-  autoOption.value = "";
-  autoOption.textContent = "(自動)";
-  selectEl.appendChild(autoOption);
+const defaultMarkerSize = (plotType) => (plotType === "line" ? 0 : 24);
+const displayMarkerSize = (series, plotType) => (series.markerSize === null ? defaultMarkerSize(plotType) : series.markerSize);
 
-  for (const col of columns) {
-    const opt = document.createElement("option");
-    opt.value = col.value;
-    opt.textContent = col.label;
-    selectEl.appendChild(opt);
-  }
-
-  if (selectedValue && Array.from(selectEl.options).some((opt) => opt.value === selectedValue)) {
-    selectEl.value = selectedValue;
-  }
-};
-
-const fillSeriesXSelect = (selectEl, selectedValue = "") => {
-  if (!selectEl) return;
-  const columns = getColumnOptions(true);
+const fillSelect = (selectEl, options, selected) => {
   selectEl.innerHTML = "";
-  for (const col of columns) {
-    const opt = document.createElement("option");
-    opt.value = col.value;
-    opt.textContent = col.label;
-    selectEl.appendChild(opt);
-  }
-  if (Array.from(selectEl.options).some((opt) => opt.value === selectedValue)) {
-    selectEl.value = selectedValue;
-  } else {
-    selectEl.value = "";
-  }
-};
-
-export const syncPlotTypeUI = () => {
-  const type = plotTypeSelect ? plotTypeSelect.value : "line";
-  const usePerSeriesX = type === "line" || type === "scatter";
-  if (globalXGroup) {
-    globalXGroup.style.display = usePerSeriesX ? "none" : "";
-  }
-  if (!seriesList) return;
-  const xGroups = seriesList.querySelectorAll(".series-x-wrap");
-  for (const group of xGroups) {
-    group.style.display = usePerSeriesX ? "block" : "none";
+  for (const opt of options) {
+    const o = document.createElement("option");
+    o.value = opt.value;
+    o.textContent = opt.label;
+    selectEl.appendChild(o);
   }
+  selectEl.value = options.some((o) => o.value === selected) ? selected : "";
 };
 
-export const syncMarkerSizeForPlotType = () => {
-  if (!seriesList || !plotTypeSelect) return;
-  const currentType = plotTypeSelect.value;
-  const markerInputs = seriesList.querySelectorAll(".series-marker-size");
-  if (currentType === "scatter") {
-    for (const input of markerInputs) {
-      const current = Number(input.value);
-      if (!Number.isFinite(current) || current <= 0) {
-        input.value = "24";
-      }
-    }
-  } else if (currentType === "line" && lastPlotType === "scatter") {
-    for (const input of markerInputs) {
-      const current = Number(input.value);
-      if (Number.isFinite(current) && current === 24) {
-        input.value = "0";
-      }
-    }
-  }
-  lastPlotType = currentType;
-};
+const xOptions = () => [{ value: "", label: "(index)" }, ...columns];
+const yOptions = () => [{ value: "", label: "(自動)" }, ...columns];
 
-export const syncY2LabelUI = () => {
-  if (!seriesList) return;
-  const hasSecondary = !!seriesList.querySelector(".series-use-y2:checked");
-  if (y2LabelGroup) {
-    y2LabelGroup.style.display = hasSecondary ? "" : "none";
-  }
-  if (y2AxisSettingsGroup) {
-    y2AxisSettingsGroup.style.display = hasSecondary ? "" : "none";
-  }
-};
-
-const renumberSeries = () => {
-  if (!seriesList) return;
-  const items = Array.from(seriesList.querySelectorAll(".series-item"));
-  items.forEach((item, idx) => {
-    const title = item.querySelector(".series-item-title");
-    if (title) title.textContent = `系列 ${idx + 1}`;
-  });
-  const disableRemove = items.length <= 1;
-  items.forEach((item) => {
-    const removeBtn = item.querySelector(".remove-series");
-    if (removeBtn) {
-      removeBtn.disabled = disableRemove;
-      removeBtn.style.opacity = disableRemove ? "0.5" : "1";
-      removeBtn.style.cursor = disableRemove ? "not-allowed" : "pointer";
-    }
-  });
-};
-
-const addSeriesItem = (preset = {}) => {
-  if (!seriesList) return;
-  const item = document.createElement("div");
-  item.className = "series-item";
-  const color = preset.color || SERIES_COLORS[seriesList.children.length % SERIES_COLORS.length];
-  const defaultMarkerSize = Object.prototype.hasOwnProperty.call(preset, "markerSize")
-    ? preset.markerSize
-    : plotTypeSelect && plotTypeSelect.value === "line"
-      ? 0
-      : 24;
-  item.innerHTML = `
+const cardHtml = (series, plotType) => {
+  const id = (name) => `series-${series.id}-${name}`;
+  return `
     <div class="series-item-header">
       <div class="series-item-title">系列</div>
       <button type="button" class="small-btn ghost-btn remove-series">削除</button>
     </div>
     <div class="row group">
       <div class="series-x-wrap">
-        <label>X列</label>
-        <select class="series-x"></select>
+        <label for="${id("x")}">X列</label>
+        <select id="${id("x")}" class="series-x"></select>
       </div>
       <div>
-        <label>Y列</label>
-        <select class="series-y"></select>
+        <label for="${id("y")}">Y列</label>
+        <select id="${id("y")}" class="series-y"></select>
       </div>
     </div>
     <div class="row group">
       <div>
-        <label>色</label>
+        <label for="${id("color-trigger")}">色</label>
         <div class="series-color-picker">
-          <button type="button" class="series-color-trigger">
+          <button type="button" id="${id("color-trigger")}" class="series-color-trigger">
             <span class="series-color-swatch-inline"></span>
             <span>色を選択</span>
           </button>
           <div class="series-color-panel hidden">
             <div class="series-color-grid"></div>
             <button type="button" class="small-btn ghost-btn series-color-custom-toggle">カスタム</button>
-            <input class="series-color series-color-custom hidden" type="color" value="${color}" />
+            <input class="series-color series-color-custom hidden" type="color" value="${esc(series.color)}" aria-label="カスタム色" />
           </div>
         </div>
-        <div class="color-value series-color-value">${color}</div>
+        <div class="color-value series-color-value">${esc(series.color)}</div>
       </div>
       <div>
-        <label>線幅</label>
-        <input class="series-line-width" type="number" step="0.1" value="${preset.lineWidth || 2.0}" />
+        <label for="${id("line-width")}">線幅</label>
+        <input id="${id("line-width")}" class="series-line-width" type="number" step="0.1" value="${esc(series.lineWidth ?? "")}" />
       </div>
     </div>
     <div class="row group">
       <div>
-        <label>線種</label>
-        <select class="series-line-style">
+        <label for="${id("line-style")}">線種</label>
+        <select id="${id("line-style")}" class="series-line-style">
           <option value="solid">solid</option>
           <option value="dashed">dashed</option>
           <option value="dashdot">dashdot</option>
@@ -182,99 +74,129 @@ const addSeriesItem = (preset = {}) => {
         </select>
       </div>
       <div>
-        <label>点サイズ</label>
-        <input class="series-marker-size" type="number" step="1" value="${defaultMarkerSize}" />
+        <label for="${id("marker-size")}">点サイズ</label>
+        <input id="${id("marker-size")}" class="series-marker-size" type="number" step="1" value="${esc(displayMarkerSize(series, plotType))}" />
       </div>
     </div>
     <div class="group">
-      <label>凡例名（任意）</label>
-      <input class="series-legend-name" type="text" value="${preset.legendName || ""}" placeholder="自動" />
+      <label for="${id("legend-name")}">凡例名（任意）</label>
+      <input id="${id("legend-name")}" class="series-legend-name" type="text" value="${esc(series.label)}" placeholder="自動" />
     </div>
     <div class="group">
       <label class="inline check-label">
-        <input class="series-use-y2" type="checkbox" ${preset.useSecondaryAxis ? "checked" : ""} />
+        <input class="series-use-y2" type="checkbox" ${series.secondaryAxis ? "checked" : ""} />
         <span>第2軸を使用</span>
       </label>
     </div>
   `;
+};
 
-  seriesList.appendChild(item);
-  const ySelect = item.querySelector(".series-y");
-  fillSeriesYSelect(ySelect, preset.yRequest || "");
-  const xSelect = item.querySelector(".series-x");
-  fillSeriesXSelect(xSelect, preset.xRequest || (xColumnSelect ? xColumnSelect.value : ""));
-  bindSeriesColorControls(item);
+const buildCard = (series, plotType) => {
+  const item = document.createElement("div");
+  item.className = "series-item";
+  item.dataset.seriesId = series.id;
+  item.innerHTML = cardHtml(series, plotType);
+  fillSelect(item.querySelector(".series-x"), xOptions(), series.x);
+  fillSelect(item.querySelector(".series-y"), yOptions(), series.y);
+  item.querySelector(".series-line-style").value = series.lineStyle;
+  bindSeriesColorControls(item, (color) => updateSeries(series.id, { color }));
+  item.querySelector(".remove-series").addEventListener("click", () => removeSeries(series.id));
+  return item;
+};
 
-  const lineStyleSelect = item.querySelector(".series-line-style");
-  if (lineStyleSelect) {
-    lineStyleSelect.value = preset.lineStyle || "solid";
+export const syncVisibility = () => {
+  const settings = getSettings();
+  const usePerSeriesX = settings.plot.type !== "bar";
+  const globalX = document.getElementById("globalXGroup");
+  if (globalX) globalX.style.display = usePerSeriesX ? "none" : "";
+  for (const group of document.querySelectorAll("#seriesList .series-x-wrap")) {
+    group.style.display = usePerSeriesX ? "block" : "none";
+  }
+  const hasY2 = hasSecondaryAxis();
+  for (const id of ["y2LabelGroup", "y2AxisSettingsGroup"]) {
+    const el = document.getElementById(id);
+    if (el) el.style.display = hasY2 ? "" : "none";
   }
+};
 
-  const removeBtn = item.querySelector(".remove-series");
-  if (removeBtn) {
-    removeBtn.addEventListener("click", () => {
-      if (seriesList.children.length <= 1) return;
-      item.remove();
-      renumberSeries();
-      syncY2LabelUI();
-      scheduleRender();
-    });
+// 点サイズが自動（null）の系列は、プロット種別に応じた値を表示する（ユーザーが入力した値は変えない）
+export const syncMarkerSizeDisplay = () => {
+  const { plot, series } = getSettings();
+  for (const item of document.querySelectorAll("#seriesList .series-item")) {
+    const s = series.find((x) => x.id === item.dataset.seriesId);
+    const input = item.querySelector(".series-marker-size");
+    if (s && input && s.markerSize === null && document.activeElement !== input) {
+      input.value = String(defaultMarkerSize(plot.type));
+    }
   }
+};
 
-  syncPlotTypeUI();
-  syncY2LabelUI();
-  renumberSeries();
+export const renderSeriesList = () => {
+  const list = document.getElementById("seriesList");
+  if (!list) return;
+  const { series, plot } = getSettings();
+  list.replaceChildren(...series.map((s) => buildCard(s, plot.type)));
+  const items = list.querySelectorAll(".series-item");
+  items.forEach((item, idx) => {
+    item.querySelector(".series-item-title").textContent = `系列 ${idx + 1}`;
+    const removeBtn = item.querySelector(".remove-series");
+    const disable = items.length <= 1;
+    removeBtn.disabled = disable;
+    removeBtn.style.opacity = disable ? "0.5" : "1";
+    removeBtn.style.cursor = disable ? "not-allowed" : "pointer";
+  });
+  syncVisibility();
 };
 
-window.refreshSeriesColumnOptions = () => {
-  if (!seriesList) return;
-  const ySelects = seriesList.querySelectorAll(".series-y");
-  for (const selectEl of ySelects) {
-    fillSeriesYSelect(selectEl, selectEl.value);
-  }
-  const xSelects = seriesList.querySelectorAll(".series-x");
-  for (const selectEl of xSelects) {
-    fillSeriesXSelect(selectEl, selectEl.value);
-  }
+const refreshXColumnSelect = () => {
+  const select = document.getElementById("xColumn");
+  if (select) fillSelect(select, xOptions(), getSettings().plot.xColumn);
 };
 
-window.ensureSeriesItems = () => {
-  if (!seriesList) return;
-  if (seriesList.children.length === 0) {
-    addSeriesItem();
-  } else {
-    renumberSeries();
-  }
-  syncPlotTypeUI();
-  syncY2LabelUI();
+// 読込後の列の選択肢を更新する。もう存在しない列の選択は解除する（再描画は呼び出し側が行う）。
+export const setColumns = (newColumns) => {
+  columns = newColumns;
+  const valid = new Set(columns.map((c) => c.value));
+  const settings = getSettings();
+  if (settings.plot.xColumn && !valid.has(settings.plot.xColumn)) setPath("plot.xColumn", "", "reconcile");
+  for (const s of settings.series) {
+    const patch = {};
+    if (s.x && !valid.has(s.x)) patch.x = "";
+    if (s.y && !valid.has(s.y)) patch.y = "";
+    if (Object.keys(patch).length) updateSeries(s.id, patch, "reconcile");
+  }
+  refreshXColumnSelect();
+  renderSeriesList();
+};
+
+const FIELD_BY_CLASS = [
+  ["series-x", "x", "text"],
+  ["series-y", "y", "text"],
+  ["series-line-width", "lineWidth", "number"],
+  ["series-line-style", "lineStyle", "text"],
+  ["series-marker-size", "markerSize", "number"],
+  ["series-legend-name", "label", "text"],
+  ["series-use-y2", "secondaryAxis", "checkbox"],
+];
+
+const onSeriesInput = (event) => {
+  const target = event.target;
+  if (!target || !target.matches || !target.matches("input, select")) return;
+  const item = target.closest(".series-item");
+  if (!item) return;
+  const entry = FIELD_BY_CLASS.find(([cls]) => target.classList.contains(cls));
+  if (!entry) return;
+  const [, field, kind] = entry;
+  const value = kind === "checkbox" ? target.checked : kind === "number" ? readNumber(target) : target.value;
+  updateSeries(item.dataset.seriesId, { [field]: value });
 };
 
 export const bindSeriesEvents = () => {
-  if (addSeriesBtn) {
-    addSeriesBtn.addEventListener("click", () => {
-      addSeriesItem();
-      scheduleRender();
-    });
-  }
-  if (plotTypeSelect) {
-    plotTypeSelect.addEventListener("change", () => {
-      syncPlotTypeUI();
-      syncMarkerSizeForPlotType();
-      scheduleRender();
-    });
-  }
-  if (seriesList) {
-    const onSeriesInput = (event) => {
-      const target = event.target;
-      if (!target) return;
-      if (target.matches("input, select")) {
-        if (target.matches(".series-use-y2")) {
-          syncY2LabelUI();
-        }
-        scheduleRender();
-      }
-    };
-    seriesList.addEventListener("input", onSeriesInput);
-    seriesList.addEventListener("change", onSeriesInput);
+  const list = document.getElementById("seriesList");
+  const addBtn = document.getElementById("addSeriesBtn");
+  if (addBtn) addBtn.addEventListener("click", () => addSeries());
+  if (list) {
+    list.addEventListener("input", onSeriesInput);
+    list.addEventListener("change", onSeriesInput);
   }
 };
diff --git a/js/ui/tabs.js b/js/ui/tabs.js
new file mode 100644
index 0000000..453be67
--- /dev/null
+++ b/js/ui/tabs.js
@@ -0,0 +1,24 @@
+// 「プロット / データ確認 / Pythonコード(beta)」のタブ切替。
+const TABS = [
+  ["plot", "tabPlotBtn", "plotPanel"],
+  ["data", "tabDataBtn", "dataPanel"],
+  ["code", "tabCodeBtn", "codePanel"],
+];
+
+export const switchTab = (selected) => {
+  for (const [name, btnId, panelId] of TABS) {
+    const on = name === selected;
+    const btn = document.getElementById(btnId);
+    const panel = document.getElementById(panelId);
+    if (btn) btn.classList.toggle("active", on);
+    if (panel) panel.classList.toggle("hidden", !on);
+  }
+};
+
+export const bindTabs = () => {
+  for (const [name, btnId] of TABS) {
+    const btn = document.getElementById(btnId);
+    if (btn) btn.addEventListener("click", () => switchTab(name));
+  }
+  switchTab("plot");
+};
diff --git a/py/main.py b/py/main.py
index 2abd454..85f3112 100644
--- a/py/main.py
+++ b/py/main.py
@@ -1,1272 +1,59 @@
-import io
-import base64
-import asyncio
-import traceback
-import warnings
-from pathlib import Path
-
-import matplotlib.pyplot as plt
-warnings.simplefilter("ignore", DeprecationWarning)
-warnings.filterwarnings(
-    "ignore",
-    message=".*Pyarrow will become a required dependency of pandas.*",
-    category=DeprecationWarning,
-)
-warnings.filterwarnings(
-    "ignore",
-    message=".*missing from current font.*",
-    category=UserWarning,
-)
-import pandas as pd
-from js import Uint8Array, document, window, fetch
-from pyodide.ffi import create_proxy
-
-from mplgui.fonts import configure_rcparams, register_font_file
-from mplgui.loader import load_dataframe
-from mplgui.runner import build_filename, figure_to_data_uri
-
-PREVIEW_ROWS = 100
-CURRENT_DF = None
-_EVENT_PROXIES = []
-JP_FONT_URL = "https://cdn.jsdelivr.net/gh/googlefonts/noto-cjk@main/Sans/OTF/Japanese/NotoSansCJKjp-Regular.otf"
-JP_FONT_PATH = "/tmp/NotoSansCJKjp-Regular.otf"
-_JP_FONT_READY = False
-DEFAULT_CUSTOM_PLOT_CODE = """# 利用可能オブジェクト:
-# - df: skipRows適用後のDataFrame
-# - current_df: 読み込み直後のDataFrame（skipRows未適用）
-# - settings: GUI設定(dict)
-# - plt, pd
-# 必須:
-# - fig に Figure を代入
-# 任意:
-# - plotted_count (int) を設定（未設定時は自動判定）
-
-fig, ax = plt.subplots(figsize=(settings["fig_width"], settings["fig_height"]), dpi=100)
+"""PyScript のエントリ。JS と mplgui の橋渡しだけを行う（DOM には触れない）。
 
-if df.shape[1] < 2:
-    raise ValueError("2列以上のデータが必要です。")
-
-x = pd.to_numeric(df.iloc[:, 0], errors="coerce")
-y = pd.to_numeric(df.iloc[:, 1], errors="coerce")
-mask = x.notna() & y.notna()
-if not bool(mask.any()):
-    raise ValueError("先頭2列に描画可能な数値データがありません。")
-
-series_settings = settings.get("series_settings", [])
-default_legend = ""
-if isinstance(series_settings, list) and len(series_settings) > 0:
-    default_legend = str(series_settings[0].get("legend_name", "") or "").strip()
-if not default_legend:
-    default_legend = str(df.columns[1])
-
-ax.plot(
-    x[mask],
-    y[mask],
-    color="#005AFF",
-    linewidth=2.0,
-    marker="o",
-    markersize=4,
-    label=default_legend,
-)
-ax.set_title(settings["title"])
-ax.set_xlabel(settings["x_label"] or str(df.columns[0]))
-ax.set_ylabel(settings["y_label"] or str(df.columns[1]))
-ax.grid(True, alpha=0.3)
-ax.legend(loc="best", edgecolor="black")
-fig.tight_layout()
-
-plotted_count = 1
+JS（js/bridge.js）は window.mplgui の関数を呼ぶ。引数・戻り値は JSON 文字列。
 """
+import warnings
 
-configure_rcparams()
-
-
-async def _ensure_japanese_font() -> None:
-    global _JP_FONT_READY
-    if _JP_FONT_READY:
-        return
-    try:
-        target = Path(JP_FONT_PATH)
-        if not target.exists():
-            response = await fetch(JP_FONT_URL)
-            if not bool(response.ok):
-                return
-            buffer = await response.arrayBuffer()
-            data = Uint8Array.new(buffer)
-            target.write_bytes(bytes(data.to_py()))
-
-        register_font_file(target)
-        _JP_FONT_READY = True
-    except Exception:
-        # フォント取得に失敗しても描画処理は継続する
-        return
-
-
-def set_status(message: str, is_error: bool = False, detail: str = "") -> None:
-    status = document.getElementById("status")
-    if status is not None:
-        status.textContent = message or ""
-        status.style.color = "var(--status-error)" if is_error else "var(--status-ok)"
-
-    detail_wrap = document.getElementById("statusDetailWrap")
-    detail_area = document.getElementById("statusDetail")
-    if detail_wrap is None or detail_area is None:
-        return
-
-    detail_text = str(detail or "").strip()
-    if detail_text:
-        detail_area.textContent = detail_text
-        detail_wrap.classList.remove("hidden")
-        detail_wrap.open = True
-    else:
-        detail_area.textContent = ""
-        detail_wrap.classList.add("hidden")
-        detail_wrap.open = False
-
-
-def _format_internal_error_detail(exc: Exception, context: str) -> str:
-    lines = [
-        f"context: {context}",
-        f"type: {type(exc).__name__}",
-        f"message: {exc}",
-    ]
-    trace = traceback.format_exc().strip()
-    if trace and trace != "NoneType: None":
-        lines.append("")
-        lines.append("traceback:")
-        lines.append(trace)
-    return "\n".join(lines)
-
-
-def _safe_close_figure(fig) -> None:
-    if fig is not None:
-        plt.close(fig)
-
-
-def _switch_tab(tab_name: str) -> None:
-    plot_btn = document.getElementById("tabPlotBtn")
-    data_btn = document.getElementById("tabDataBtn")
-    code_btn = document.getElementById("tabCodeBtn")
-    plot_panel = document.getElementById("plotPanel")
-    data_panel = document.getElementById("dataPanel")
-    code_panel = document.getElementById("codePanel")
-
-    selected = tab_name if tab_name in {"plot", "data", "code"} else "plot"
-    tab_items = [
-        ("plot", plot_btn, plot_panel),
-        ("data", data_btn, data_panel),
-        ("code", code_btn, code_panel),
-    ]
-    for name, btn, panel in tab_items:
-        if btn is not None:
-            if name == selected:
-                btn.classList.add("active")
-            else:
-                btn.classList.remove("active")
-        if panel is not None:
-            if name == selected:
-                panel.classList.remove("hidden")
-            else:
-                panel.classList.add("hidden")
-
-
-def _spawn_task(coro) -> None:
-    task = asyncio.create_task(coro)
-
-    def _consume_done(finished_task):
-        try:
-            finished_task.result()
-        except Exception as exc:
-            detail = _format_internal_error_detail(exc, "async task callback")
-            set_status("内部エラーが発生しました。もう一度操作してください。", True, detail)
-
-    task.add_done_callback(_consume_done)
-
-
-def _set_data_ready(ready: bool) -> None:
-    try:
-        if hasattr(window, "setMatplotDataReady"):
-            window.setMatplotDataReady(bool(ready))
-    except Exception:
-        pass
-
-
-def _init_custom_code_editor() -> None:
-    editor = document.getElementById("customPyCode")
-    if editor is None:
-        return
-    default_code = DEFAULT_CUSTOM_PLOT_CODE.strip() + "\n"
-    editor.dataset.defaultCode = default_code
-    current = str(editor.value or "").strip()
-    if not current:
-        editor.value = default_code
-
-
-def _is_custom_code_enabled() -> bool:
-    element = document.getElementById("useCustomCode")
-    return bool(element.checked) if element is not None else False
-
-
-def _get_custom_code_text() -> str:
-    element = document.getElementById("customPyCode")
-    if element is None:
-        return ""
-    return str(element.value or "")
-
-
-def _get_text_value(element_id: str, fallback: str = "") -> str:
-    element = document.getElementById(element_id)
-    if element is None:
-        return fallback
-    return str(element.value or "").strip()
-
-
-def _get_optional_float_value(element_id: str, label: str) -> float | None:
-    element = document.getElementById(element_id)
-    raw = element.value.strip() if element is not None else ""
-    if not raw:
-        return None
-    try:
-        return float(raw)
-    except Exception:
-        raise ValueError(f"{label}は数値で指定してください。")
-
-
-def _get_subplot_margin_settings() -> dict:
-    left = _get_optional_float_value("subplotLeft", "余白 左(left)")
-    right = _get_optional_float_value("subplotRight", "余白 右(right)")
-    bottom = _get_optional_float_value("subplotBottom", "余白 下(bottom)")
-    top = _get_optional_float_value("subplotTop", "余白 上(top)")
-
-    for value, label in (
-        (left, "余白 左(left)"),
-        (right, "余白 右(right)"),
-        (bottom, "余白 下(bottom)"),
-        (top, "余白 上(top)"),
-    ):
-        if value is not None and (value < 0 or value > 1):
-            raise ValueError(f"{label}は0〜1で指定してください。")
-
-    if left is not None and right is not None and left >= right:
-        raise ValueError("余白は left < right になるように指定してください。")
-    if bottom is not None and top is not None and bottom >= top:
-        raise ValueError("余白は bottom < top になるように指定してください。")
-
-    return {
-        "left": left,
-        "right": right,
-        "bottom": bottom,
-        "top": top,
-    }
-
-
-def _apply_subplot_margin_settings(fig, margins: dict, use_tight_layout_if_auto: bool = False) -> None:
-    provided = {
-        key: value
-        for key, value in (margins or {}).items()
-        if value is not None
-    }
-    if provided:
-        if use_tight_layout_if_auto and len(provided) < 4:
-            try:
-                fig.tight_layout()
-                auto_margins = {
-                    "left": fig.subplotpars.left,
-                    "right": fig.subplotpars.right,
-                    "bottom": fig.subplotpars.bottom,
-                    "top": fig.subplotpars.top,
-                }
-                auto_margins.update(provided)
-                fig.subplots_adjust(**auto_margins)
-                return
-            except Exception:
-                pass
-        try:
-            fig.subplots_adjust(**provided)
-        except Exception as exc:
-            raise ValueError(f"余白設定の適用に失敗しました: {exc}")
-    elif use_tight_layout_if_auto:
-        fig.tight_layout()
-
-
-def _apply_axis_scale_and_limits(
-    target_ax,
-    axis_kind: str,
-    axis_label: str,
-    scale: str,
-    min_value: float | None,
-    max_value: float | None,
-) -> None:
-    if scale not in {"linear", "log"}:
-        raise ValueError(f"{axis_label}軸スケールが不正です。")
-    if min_value is not None and max_value is not None and min_value >= max_value:
-        raise ValueError(f"{axis_label}軸の範囲は最小値 < 最大値で指定してください。")
-    if scale == "log":
-        if (min_value is not None and min_value <= 0) or (max_value is not None and max_value <= 0):
-            raise ValueError(f"{axis_label}軸を対数にする場合、範囲は0より大きい値で指定してください。")
-
-    try:
-        if axis_kind == "x":
-            target_ax.set_xscale(scale)
-            if min_value is not None or max_value is not None:
-                target_ax.set_xlim(left=min_value, right=max_value)
-        elif axis_kind == "y":
-            target_ax.set_yscale(scale)
-            if min_value is not None or max_value is not None:
-                target_ax.set_ylim(bottom=min_value, top=max_value)
-        else:
-            raise ValueError(f"軸種別が不正です: {axis_kind}")
-    except Exception as exc:
-        raise ValueError(f"{axis_label}軸設定の適用に失敗しました: {exc}")
-
-
-def _get_skip_rows_for_preview() -> int:
-    raw = document.getElementById("skipRows").value.strip()
-    if not raw:
-        return 0
-    try:
-        skip_rows = int(raw)
-    except Exception:
-        return 0
-    return max(skip_rows, 0)
-
-
-def _get_skip_rows() -> int:
-    raw = document.getElementById("skipRows").value.strip()
-    if not raw:
-        return 0
-    skip_rows = int(raw)
-    if skip_rows < 0:
-        raise ValueError("スキップ行数は0以上で指定してください。")
-    return skip_rows
-
-
-def _resolve_column(df: pd.DataFrame, requested: str):
-    if requested.startswith("__idx__"):
-        idx_text = requested.replace("__idx__", "", 1)
-        if not idx_text.isdigit():
-            raise ValueError(f"列指定が不正です: {requested}")
-        idx = int(idx_text)
-        if idx < 0 or idx >= len(df.columns):
-            raise ValueError(f"列インデックスが範囲外です: {idx}")
-        return df.columns[idx]
-
-    if requested in df.columns:
-        return requested
-    matched = [col for col in df.columns if str(col) == requested]
-    if len(matched) == 1:
-        return matched[0]
-    raise ValueError(f"列が見つかりません: {requested}")
-
-
-def _parse_column_index(requested: str) -> int | None:
-    if not requested.startswith("__idx__"):
-        return None
-    idx_text = requested.replace("__idx__", "", 1)
-    if not idx_text.isdigit():
-        return None
-    return int(idx_text)
-
-
-def _get_series_from_request(df: pd.DataFrame, requested: str) -> tuple[pd.Series, str, int]:
-    idx = _parse_column_index(requested)
-    if idx is not None:
-        if idx < 0 or idx >= len(df.columns):
-            raise ValueError(f"列インデックスが範囲外です: {idx}")
-        return df.iloc[:, idx], str(df.columns[idx]), idx
-
-    resolved = _resolve_column(df, requested)
-    found_idx = -1
-    for i, col in enumerate(df.columns):
-        if col == resolved:
-            found_idx = i
-            break
-    return df[resolved], str(resolved), found_idx
-
-
-async def _read_upload() -> tuple[bytes, str]:
-    file_input = document.getElementById("fileInput")
-    if file_input.files.length == 0:
-        raise ValueError("ファイルを選択してください。")
-
-    js_file = file_input.files.item(0)
-    buffer = await js_file.arrayBuffer()
-    data = Uint8Array.new(buffer)
-    return bytes(data.to_py()), str(js_file.name)
-
-
-def _collect_series_settings() -> list[dict]:
-    series_list = document.getElementById("seriesList")
-    if series_list is None:
-        raise ValueError("系列設定UIが見つかりません。")
-
-    rows = series_list.querySelectorAll(".series-item")
-    if rows.length == 0:
-        raise ValueError("描画系列を1つ以上追加してください。")
-
-    allowed_line_styles = {"solid", "dashed", "dashdot", "dotted"}
-    plot_type = document.getElementById("plotType").value
-    default_marker = "0" if plot_type == "line" else "24"
-    settings = []
-    for i in range(rows.length):
-        row = rows.item(i)
-        y_select = row.querySelector(".series-y")
-        x_select = row.querySelector(".series-x")
-        color_input = row.querySelector(".series-color")
-        line_width_input = row.querySelector(".series-line-width")
-        line_style_select = row.querySelector(".series-line-style")
-        marker_size_input = row.querySelector(".series-marker-size")
-        legend_name_input = row.querySelector(".series-legend-name")
-        use_y2_input = row.querySelector(".series-use-y2")
-
-        y_request = y_select.value.strip() if y_select is not None else ""
-        x_request = x_select.value.strip() if x_select is not None else ""
-        color = color_input.value.strip() if color_input is not None else "#FF4B00"
-        line_width_text = line_width_input.value.strip() if line_width_input is not None else "2.0"
-        line_style = line_style_select.value.strip() if line_style_select is not None else "solid"
-        marker_size_text = marker_size_input.value.strip() if marker_size_input is not None else default_marker
-        legend_name = legend_name_input.value.strip() if legend_name_input is not None else ""
-        use_secondary_axis = bool(use_y2_input.checked) if use_y2_input is not None else False
-
-        line_width = float(line_width_text or "2.0")
-        marker_size = float(marker_size_text or default_marker)
-
-        if plot_type == "scatter" and marker_size <= 0:
-            marker_size = 24.0
-
-        if line_width <= 0:
-            raise ValueError(f"{i + 1}番目の系列: 線幅は0より大きくしてください。")
-        if marker_size < 0:
-            raise ValueError(f"{i + 1}番目の系列: 点サイズは0以上で指定してください。")
-        if line_style not in allowed_line_styles:
-            raise ValueError(f"{i + 1}番目の系列: 線種が不正です。")
-
-        settings.append(
-            {
-                "y_request": y_request,
-                "x_request": x_request,
-                "color": color or "#FF4B00",
-                "line_width": line_width,
-                "line_style": line_style,
-                "marker_size": marker_size,
-                "legend_name": legend_name,
-                "use_secondary_axis": use_secondary_axis,
-            }
-        )
-
-    return settings
-
-
-def _resolve_series_requests(df: pd.DataFrame, settings: list[dict]) -> list[str]:
-    numeric_indices = [i for i, dtype in enumerate(df.dtypes) if pd.api.types.is_numeric_dtype(dtype)]
-    candidates = numeric_indices if numeric_indices else [0]
-    used_indices = set()
-    resolved = []
-
-    for setting in settings:
-        request = setting["y_request"]
-        if request:
-            idx = _parse_column_index(request)
-            if idx is not None:
-                used_indices.add(idx)
-            resolved.append(request)
-            continue
-
-        chosen = None
-        for idx in candidates:
-            if idx not in used_indices:
-                chosen = idx
-                break
-        if chosen is None:
-            chosen = candidates[0]
-        used_indices.add(chosen)
-        resolved.append(f"__idx__{chosen}")
-
-    return resolved
-
-
-def _get_plot_data(df: pd.DataFrame, series_settings: list[dict]) -> tuple[pd.Series, str, list[dict]]:
-    x_req = document.getElementById("xColumn").value.strip()
-    y_requests = _resolve_series_requests(df, series_settings)
-
-    if x_req:
-        x, x_label, _ = _get_series_from_request(df, x_req)
-    else:
-        x = pd.Series(df.index, name="index")
-        x_label = "index"
-
-    plot_df = pd.DataFrame({"x": x})
-    series_entries = []
-    for i, (setting, request) in enumerate(zip(series_settings, y_requests)):
-        y_series, y_name, y_idx = _get_series_from_request(df, request)
-        y_key = f"y_{i}"
-        label_suffix = f" [{y_idx}]" if y_idx >= 0 else ""
-        data_label = f"{y_name}{label_suffix}"
-        plot_df[y_key] = pd.to_numeric(y_series, errors="coerce")
-        entry = dict(setting)
-        entry["y_key"] = y_key
-        entry["data_label"] = data_label
-        entry["legend_label"] = setting.get("legend_name") or data_label
-        series_entries.append(entry)
-
-    y_keys = [entry["y_key"] for entry in series_entries]
-    plot_df = plot_df.dropna(subset=y_keys, how="all")
-    if plot_df.empty:
-        raise ValueError("描画可能な数値データがありません。")
-
-    for entry in series_entries:
-        entry["y_series"] = plot_df[entry["y_key"]]
-
-    return plot_df["x"], x_label, series_entries
-
-
-def _get_per_series_xy_data(df: pd.DataFrame, series_settings: list[dict]) -> tuple[list[dict], str]:
-    y_requests = _resolve_series_requests(df, series_settings)
-    entries = []
-    x_labels = []
-
-    for setting, y_request in zip(series_settings, y_requests):
-        x_request = setting.get("x_request", "").strip()
-        if x_request:
-            x_series, x_label, _ = _get_series_from_request(df, x_request)
-        else:
-            x_series = pd.Series(df.index, name="index")
-            x_label = "index"
-
-        y_series, y_name, y_idx = _get_series_from_request(df, y_request)
-        label_suffix = f" [{y_idx}]" if y_idx >= 0 else ""
-        data_label = f"{y_name}{label_suffix}"
-
-        entry = dict(setting)
-        entry["x_series"] = x_series.reset_index(drop=True)
-        entry["y_series"] = pd.to_numeric(y_series, errors="coerce").reset_index(drop=True)
-        entry["data_label"] = data_label
-        entry["legend_label"] = setting.get("legend_name") or data_label
-        entry["x_label"] = x_label
-        entries.append(entry)
-        x_labels.append(x_label)
-
-    has_points = False
-    for entry in entries:
-        mask = entry["y_series"].notna() & pd.notna(entry["x_series"])
-        if bool(mask.any()):
-            has_points = True
-            break
-    if not has_points:
-        raise ValueError("描画可能な数値データがありません。")
-
-    common_x_label = x_labels[0] if len(set(x_labels)) == 1 else "x"
-    return entries, common_x_label
-
-
-def _fill_columns(df: pd.DataFrame) -> None:
-    x_select = document.getElementById("xColumn")
-
-    x_select.innerHTML = ""
-
-    x_default = document.createElement("option")
-    x_default.value = ""
-    x_default.textContent = "(index)"
-    x_select.appendChild(x_default)
-
-    for idx, col in enumerate(df.columns):
-        text = str(col)
-        value = f"__idx__{idx}"
-        label = f"{text} [{idx}]"
-
-        x_opt = document.createElement("option")
-        x_opt.value = value
-        x_opt.textContent = label
-        x_select.appendChild(x_opt)
-
-    if hasattr(window, "refreshSeriesColumnOptions"):
-        window.refreshSeriesColumnOptions()
-
-
-def _render_data_preview(df: pd.DataFrame, skip_rows: int = 0) -> None:
-    data_area = document.getElementById("dataArea")
-    if data_area is None:
-        return
-
-    preview_df = df.head(PREVIEW_ROWS)
-    rows = len(df)
-    cols = len(df.columns)
-    truncated = "（先頭100行のみ表示）" if rows > PREVIEW_ROWS else ""
-    table_html = preview_df.to_html(index=False, border=0, classes=["data-table"])
-
-    data_area.innerHTML = (
-        f'<div class="data-meta">行数: {rows} / 列数: {cols} {truncated}</div>'
-        f'<div class="table-wrap">{table_html}</div>'
-    )
-
-
-def _render_plot_image(fig) -> None:
-    buffer = io.BytesIO()
-    fig.savefig(buffer, format="png", dpi=100)
-    encoded = base64.b64encode(buffer.getvalue()).decode("ascii")
-    plot_area = document.getElementById("plotArea")
-    plot_area.innerHTML = f'<img alt="plot" src="data:image/png;base64,{encoded}" />'
-
-
-def on_tab_plot(event=None):
-    _switch_tab("plot")
-
-
-def on_tab_data(event=None):
-    _switch_tab("data")
-
-
-def on_tab_code(event=None):
-    _switch_tab("code")
-
-
-def _figure_has_visible_artists(fig) -> bool:
-    if fig is None or not hasattr(fig, "axes"):
-        return False
-    for axis in fig.axes:
-        if len(axis.lines) > 0:
-            return True
-        if len(axis.collections) > 0:
-            return True
-        if len(axis.patches) > 0:
-            return True
-        if len(axis.images) > 0:
-            return True
-        if hasattr(axis, "containers") and len(axis.containers) > 0:
-            return True
-    return False
-
-
-def _collect_custom_plot_settings(skip_rows: int) -> dict:
-    font_size = float(_get_text_value("fontSize", "15") or "15")
-    fig_width = float(_get_text_value("figWidth", "8") or "8")
-    fig_height = float(_get_text_value("figHeight", "6") or "6")
-    subplot_margins = _get_subplot_margin_settings()
-    if fig_width <= 0 or fig_height <= 0:
-        raise ValueError("図幅・図高さは0より大きくしてください。")
-    if font_size <= 0:
-        raise ValueError("フォントサイズは0より大きくしてください。")
-
-    series_settings = []
-    series_settings_error = ""
-    try:
-        series_settings = _collect_series_settings()
-    except Exception as exc:
-        series_settings_error = str(exc)
-
-    return {
-        "skip_rows": skip_rows,
-        "plot_type": _get_text_value("plotType", "line") or "line",
-        "title": _get_text_value("title", ""),
-        "x_label": _get_text_value("xLabel", ""),
-        "y_label": _get_text_value("yLabel", ""),
-        "y2_label": _get_text_value("y2Label", ""),
-        "x_scale": _get_text_value("xScale", "linear") or "linear",
-        "y_scale": _get_text_value("yScale", "linear") or "linear",
-        "y2_scale": _get_text_value("y2Scale", "linear") or "linear",
-        "x_min": _get_optional_float_value("xMin", "X最小値"),
-        "x_max": _get_optional_float_value("xMax", "X最大値"),
-        "y_min": _get_optional_float_value("yMin", "Y最小値"),
-        "y_max": _get_optional_float_value("yMax", "Y最大値"),
-        "y2_min": _get_optional_float_value("y2Min", "第2Y最小値"),
-        "y2_max": _get_optional_float_value("y2Max", "第2Y最大値"),
-        "show_major_grid": bool(document.getElementById("showMajorGrid").checked),
-        "show_minor_grid": bool(document.getElementById("showMinorGrid").checked),
-        "legend_location": _get_text_value("legendLocation", "best") or "best",
-        "font_size": font_size,
-        "fig_width": fig_width,
-        "fig_height": fig_height,
-        "subplot_margins": subplot_margins,
-        "subplot_left": subplot_margins["left"],
-        "subplot_right": subplot_margins["right"],
-        "subplot_bottom": subplot_margins["bottom"],
-        "subplot_top": subplot_margins["top"],
-        "x_column_request": _get_text_value("xColumn", ""),
-        "series_settings": series_settings,
-        "series_settings_error": series_settings_error,
-    }
-
-
-def _create_plot_figure_with_custom_code() -> tuple[object, int, int]:
-    if CURRENT_DF is None:
-        raise ValueError("先にファイルを読み込んでください。")
-
-    skip_rows = _get_skip_rows()
-    if skip_rows >= len(CURRENT_DF):
-        raise ValueError("スキップ行数がデータ行数以上です。")
-
-    code = _get_custom_code_text()
-    if not code.strip():
-        raise ValueError("カスタムコードが空です。")
-
-    df = CURRENT_DF.iloc[skip_rows:].reset_index(drop=True)
-    settings = _collect_custom_plot_settings(skip_rows)
-    context = {
-        "df": df,
-        "current_df": CURRENT_DF,
-        "settings": settings,
-        "series_settings": settings.get("series_settings", []),
-        "helpers": {
-            "get_plot_data": _get_plot_data,
-            "get_per_series_xy_data": _get_per_series_xy_data,
-            "resolve_series_requests": _resolve_series_requests,
-        },
-    }
-
-    local_scope = {
-        "df": df.copy(),
-        "current_df": CURRENT_DF.copy(),
-        "settings": settings,
-        "ctx": context,
-        "series_settings": settings.get("series_settings", []),
-        "get_plot_data": _get_plot_data,
-        "get_per_series_xy_data": _get_per_series_xy_data,
-        "resolve_series_requests": _resolve_series_requests,
-        "plt": plt,
-        "pd": pd,
-        "fig": None,
-        "plotted_count": None,
-        "skip_rows": skip_rows,
-    }
-    global_scope = {
-        "__builtins__": __builtins__,
-        "plt": plt,
-        "pd": pd,
-    }
-    try:
-        exec(code, global_scope, local_scope)
-    except Exception as exc:
-        raise ValueError(f"カスタムコードの実行に失敗しました: {exc}") from exc
-
-    fig = local_scope.get("fig")
-    if fig is None:
-        raise ValueError("カスタムコードで fig を生成してください。")
-    if not hasattr(fig, "savefig"):
-        raise ValueError("fig には matplotlib.figure.Figure を設定してください。")
-    _apply_gui_overrides_to_custom_figure(fig, settings)
-    _apply_subplot_margin_settings(fig, settings.get("subplot_margins", {}), use_tight_layout_if_auto=True)
-
-    plotted_count_raw = local_scope.get("plotted_count")
-    if plotted_count_raw is None:
-        plotted_count = 1 if _figure_has_visible_artists(fig) else 0
-    else:
-        try:
-            plotted_count = int(plotted_count_raw)
-        except Exception:
-            raise ValueError("plotted_count は整数で指定してください。")
-
-    if plotted_count <= 0 and _figure_has_visible_artists(fig):
-        plotted_count = 1
-    if plotted_count <= 0:
-        raise ValueError("描画可能なデータがありません。")
-
-    custom_skip_rows = local_scope.get("skip_rows", skip_rows)
-    try:
-        custom_skip_rows = int(custom_skip_rows)
-    except Exception:
-        custom_skip_rows = skip_rows
-    if custom_skip_rows < 0:
-        custom_skip_rows = skip_rows
-
-    return fig, plotted_count, custom_skip_rows
-
-
-def _apply_gui_overrides_to_custom_figure(fig, settings: dict) -> None:
-    if fig is None or not hasattr(fig, "axes") or len(fig.axes) == 0:
-        return
-
-    ax = fig.axes[0]
-    ax2 = fig.axes[1] if len(fig.axes) >= 2 else None
-    font_size = float(settings.get("font_size", 15) or 15)
-    x_label_override = str(settings.get("x_label", "") or "").strip()
-    y_label_override = str(settings.get("y_label", "") or "").strip()
-    y2_label_override = str(settings.get("y2_label", "") or "").strip()
-    title = str(settings.get("title", "") or "").strip()
-    x_scale = str(settings.get("x_scale", "linear") or "linear").strip()
-    y_scale = str(settings.get("y_scale", "linear") or "linear").strip()
-    y2_scale = str(settings.get("y2_scale", "linear") or "linear").strip()
-    x_min = settings.get("x_min")
-    x_max = settings.get("x_max")
-    y_min = settings.get("y_min")
-    y_max = settings.get("y_max")
-    y2_min = settings.get("y2_min")
-    y2_max = settings.get("y2_max")
-    show_major_grid = bool(settings.get("show_major_grid", False))
-    show_minor_grid = bool(settings.get("show_minor_grid", False))
-    legend_location = str(settings.get("legend_location", "best") or "best").strip()
-    allowed_legend_locations = {
-        "best",
-        "upper right",
-        "upper left",
-        "lower right",
-        "lower left",
-        "upper center",
-        "lower center",
-        "center right",
-        "center left",
-        "center",
-        "none",
-    }
-    if legend_location not in allowed_legend_locations:
-        raise ValueError("凡例位置が不正です。")
-
-    if title:
-        ax.set_title(title, fontsize=font_size + 2)
-
-    current_x_label = ax.get_xlabel()
-    current_y_label = ax.get_ylabel()
-    ax.set_xlabel(x_label_override or current_x_label, fontsize=font_size)
-    ax.set_ylabel(y_label_override or current_y_label, fontsize=font_size)
-    if ax2 is not None:
-        current_y2_label = ax2.get_ylabel()
-        ax2.set_ylabel(y2_label_override or current_y2_label, fontsize=font_size)
-
-    _apply_axis_scale_and_limits(ax, "x", "X", x_scale, x_min, x_max)
-    _apply_axis_scale_and_limits(ax, "y", "Y", y_scale, y_min, y_max)
-    if ax2 is not None:
-        _apply_axis_scale_and_limits(ax2, "y", "第2Y", y2_scale, y2_min, y2_max)
-
-    ax.tick_params(
-        axis="x",
-        which="both",
-        direction="in",
-        bottom=True,
-        top=False,
-        labelsize=max(font_size - 1, 1),
-    )
-    ax.tick_params(
-        axis="y",
-        which="both",
-        direction="in",
-        left=True,
-        right=False,
-        labelsize=max(font_size - 1, 1),
-    )
-    if ax2 is not None:
-        ax2.tick_params(
-            axis="y",
-            which="both",
-            direction="in",
-            left=False,
-            right=True,
-            labelsize=max(font_size - 1, 1),
-        )
-
-    if show_minor_grid:
-        ax.minorticks_on()
-        if ax2 is not None:
-            ax2.minorticks_on()
-    else:
-        ax.minorticks_off()
-        if ax2 is not None:
-            ax2.minorticks_off()
-
-    ax.grid(False, which="both", axis="both")
-    if show_major_grid:
-        ax.grid(True, which="major", axis="both", alpha=0.3)
-    if show_minor_grid:
-        ax.grid(True, which="minor", axis="both", alpha=0.2, linestyle=":")
-    if ax2 is not None:
-        ax2.grid(False, which="both", axis="y")
-        if show_major_grid:
-            ax2.grid(True, which="major", axis="y", alpha=0.3)
-        if show_minor_grid:
-            ax2.grid(True, which="minor", axis="y", alpha=0.2, linestyle=":")
-
-    for axis in fig.axes:
-        existing_legend = axis.get_legend()
-        if existing_legend is not None:
-            existing_legend.remove()
-
-    if legend_location == "none":
-        return
-
-    handles = []
-    labels = []
-    for axis in fig.axes:
-        h, l = axis.get_legend_handles_labels()
-        handles.extend(h)
-        labels.extend(l)
-
-    if not labels:
-        return
-
-    series_settings = settings.get("series_settings", [])
-    for i, setting in enumerate(series_settings):
-        if i >= len(labels):
-            break
-        legend_name = str(setting.get("legend_name", "") or "").strip()
-        if legend_name:
-            labels[i] = legend_name
-
-    ax.legend(
-        handles,
-        labels,
-        loc=legend_location,
-        fontsize=max(font_size - 1, 1),
-        edgecolor="black",
-    )
-
-
-async def on_load_columns(event=None):
-    global CURRENT_DF
-    try:
-        _set_data_ready(False)
-        file_bytes, filename = await _read_upload()
-        delimiter = document.getElementById("delimiter").value
-        has_header = document.getElementById("hasHeader").checked
-
-        df = load_dataframe(file_bytes, filename, delimiter, has_header)
-        CURRENT_DF = df
-        _fill_columns(df)
-        _render_data_preview(df, _get_skip_rows_for_preview())
-        _set_data_ready(True)
-        set_status("")
-        await on_render()
-    except Exception as exc:
-        CURRENT_DF = None
-        _set_data_ready(False)
-        set_status(str(exc), True)
-
-
-def _create_plot_figure() -> tuple[object, int, int]:
-    if _is_custom_code_enabled():
-        return _create_plot_figure_with_custom_code()
-
-    if CURRENT_DF is None:
-        raise ValueError("先にファイルを読み込んでください。")
-
-    skip_rows = _get_skip_rows()
-    if skip_rows >= len(CURRENT_DF):
-        raise ValueError("スキップ行数がデータ行数以上です。")
-
-    df = CURRENT_DF.iloc[skip_rows:].reset_index(drop=True)
-    plot_type = document.getElementById("plotType").value
-
-    title = document.getElementById("title").value.strip()
-    x_label_override = document.getElementById("xLabel").value.strip()
-    y_label_override = document.getElementById("yLabel").value.strip()
-    y2_label_override = document.getElementById("y2Label").value.strip()
-    x_scale = (document.getElementById("xScale").value or "linear").strip()
-    y_scale = (document.getElementById("yScale").value or "linear").strip()
-    y2_scale = (document.getElementById("y2Scale").value or "linear").strip()
-    x_min = _get_optional_float_value("xMin", "X最小値")
-    x_max = _get_optional_float_value("xMax", "X最大値")
-    y_min = _get_optional_float_value("yMin", "Y最小値")
-    y_max = _get_optional_float_value("yMax", "Y最大値")
-    y2_min = _get_optional_float_value("y2Min", "第2Y最小値")
-    y2_max = _get_optional_float_value("y2Max", "第2Y最大値")
-    show_major_grid = bool(document.getElementById("showMajorGrid").checked)
-    show_minor_grid = bool(document.getElementById("showMinorGrid").checked)
-    legend_location = document.getElementById("legendLocation").value
-
-    series_settings = _collect_series_settings()
-    font_size = float(document.getElementById("fontSize").value or "15")
-    fig_width = float(document.getElementById("figWidth").value or "8")
-    fig_height = float(document.getElementById("figHeight").value or "6")
-    subplot_margins = _get_subplot_margin_settings()
-    allowed_legend_locations = {
-        "best",
-        "upper right",
-        "upper left",
-        "lower right",
-        "lower left",
-        "upper center",
-        "lower center",
-        "center right",
-        "center left",
-        "center",
-        "none",
-    }
-
-    if fig_width <= 0 or fig_height <= 0:
-        raise ValueError("図幅・図高さは0より大きくしてください。")
-    if font_size <= 0:
-        raise ValueError("フォントサイズは0より大きくしてください。")
-    if plot_type not in {"line", "scatter", "bar"}:
-        raise ValueError("プロット種別が不正です。")
-    if legend_location not in allowed_legend_locations:
-        raise ValueError("凡例位置が不正です。")
-
-    fig, ax = plt.subplots(figsize=(fig_width, fig_height), dpi=100)
-    ax2 = None
-    plotted_labels = []
-    all_entries = []
-
-    if plot_type in {"line", "scatter"}:
-        per_series_entries, x_label = _get_per_series_xy_data(df, series_settings)
-        all_entries = per_series_entries
-        for entry in per_series_entries:
-            x_series = entry["x_series"]
-            y_series = entry["y_series"]
-            mask = y_series.notna() & pd.notna(x_series)
-            if not bool(mask.any()):
-                continue
-
-            target_ax = ax
-            if entry.get("use_secondary_axis", False):
-                if ax2 is None:
-                    ax2 = ax.twinx()
-                target_ax = ax2
-
-            if plot_type == "line":
-                marker = "o" if entry["marker_size"] > 0 else ""
-                marker_size_for_line = entry["marker_size"] ** 0.5 if entry["marker_size"] > 0 else 0
-                target_ax.plot(
-                    x_series[mask],
-                    y_series[mask],
-                    color=entry["color"],
-                    linewidth=entry["line_width"],
-                    linestyle=entry["line_style"],
-                    marker=marker,
-                    markersize=marker_size_for_line,
-                    label=entry["legend_label"],
-                )
-            else:
-                target_ax.scatter(
-                    x_series[mask],
-                    y_series[mask],
-                    color=entry["color"],
-                    s=entry["marker_size"],
-                    label=entry["legend_label"],
-                )
-            plotted_labels.append(entry["legend_label"])
-    else:
-        x, x_label, series_entries = _get_plot_data(df, series_settings)
-        all_entries = series_entries
-        if len(series_entries) == 1:
-            entry = series_entries[0]
-            y_series = entry["y_series"]
-            mask = y_series.notna() & pd.notna(x)
-            if bool(mask.any()):
-                target_ax = ax
-                if entry.get("use_secondary_axis", False):
-                    if ax2 is None:
-                        ax2 = ax.twinx()
-                    target_ax = ax2
-                target_ax.bar(
-                    x[mask],
-                    y_series[mask],
-                    color=entry["color"],
-                    linewidth=entry["line_width"],
-                    linestyle=entry["line_style"],
-                    label=entry["legend_label"],
-                )
-                plotted_labels.append(entry["legend_label"])
-        else:
-            x_labels = [str(v) for v in x.tolist()]
-            positions = list(range(len(x_labels)))
-            width = 0.8 / len(series_entries)
-
-            for i, entry in enumerate(series_entries):
-                y_series = entry["y_series"]
-                y_values = [float(v) if pd.notna(v) else 0.0 for v in y_series.tolist()]
-                offset = -0.4 + (width / 2.0) + (i * width)
-                x_positions = [p + offset for p in positions]
-
-                target_ax = ax
-                if entry.get("use_secondary_axis", False):
-                    if ax2 is None:
-                        ax2 = ax.twinx()
-                    target_ax = ax2
-                target_ax.bar(
-                    x_positions,
-                    y_values,
-                    width=width,
-                    color=entry["color"],
-                    linewidth=entry["line_width"],
-                    linestyle=entry["line_style"],
-                    label=entry["legend_label"],
-                )
-                plotted_labels.append(entry["legend_label"])
-
-            if positions:
-                if len(positions) > 25:
-                    step = max(1, len(positions) // 25)
-                    tick_positions = [positions[i] for i in range(0, len(positions), step)]
-                    tick_labels = [x_labels[i] for i in range(0, len(x_labels), step)]
-                else:
-                    tick_positions = positions
-                    tick_labels = x_labels
-                ax.set_xticks(tick_positions)
-                ax.set_xticklabels(tick_labels, rotation=45, ha="right")
-
-    if not plotted_labels:
-        raise ValueError("描画可能なデータがありません。")
-
-    primary_labels = [entry["data_label"] for entry in all_entries if not entry.get("use_secondary_axis", False)]
-    secondary_labels = [entry["data_label"] for entry in all_entries if entry.get("use_secondary_axis", False)]
-
-    if title:
-        ax.set_title(title, fontsize=font_size + 2)
-    ax.set_xlabel(x_label_override or x_label, fontsize=font_size)
-
-    if y_label_override:
-        ax.set_ylabel(y_label_override, fontsize=font_size)
-    else:
-        left_default = primary_labels[0] if len(primary_labels) == 1 else "values"
-        ax.set_ylabel(left_default, fontsize=font_size)
-
-    if ax2 is not None:
-        right_default = secondary_labels[0] if len(secondary_labels) == 1 else "values"
-        ax2.set_ylabel(y2_label_override or right_default, fontsize=font_size)
-
-    _apply_axis_scale_and_limits(ax, "x", "X", x_scale, x_min, x_max)
-    _apply_axis_scale_and_limits(ax, "y", "Y", y_scale, y_min, y_max)
-    if ax2 is not None:
-        _apply_axis_scale_and_limits(ax2, "y", "第2Y", y2_scale, y2_min, y2_max)
-
-    ax.tick_params(
-        axis="x",
-        which="both",
-        direction="in",
-        bottom=True,
-        top=False,
-        labelsize=max(font_size - 1, 1),
-    )
-    ax.tick_params(
-        axis="y",
-        which="both",
-        direction="in",
-        left=True,
-        right=False,
-        labelsize=max(font_size - 1, 1),
-    )
-    if ax2 is not None:
-        ax2.tick_params(
-            axis="y",
-            which="both",
-            direction="in",
-            left=False,
-            right=True,
-            labelsize=max(font_size - 1, 1),
-        )
-
-    if show_minor_grid:
-        ax.minorticks_on()
-        if ax2 is not None:
-            ax2.minorticks_on()
-    else:
-        ax.minorticks_off()
-        if ax2 is not None:
-            ax2.minorticks_off()
+import matplotlib
 
-    ax.grid(False, which="both", axis="both")
-    if show_major_grid:
-        ax.grid(True, which="major", axis="both", alpha=0.3)
-    if show_minor_grid:
-        ax.grid(True, which="minor", axis="both", alpha=0.2, linestyle=":")
-    if ax2 is not None:
-        ax2.grid(False, which="both", axis="y")
-        if show_major_grid:
-            ax2.grid(True, which="major", axis="y", alpha=0.3)
-        if show_minor_grid:
-            ax2.grid(True, which="minor", axis="y", alpha=0.2, linestyle=":")
+matplotlib.use("Agg")  # ブラウザ描画バックエンドを使わない（pyplot を import する前に指定する）
 
-    if legend_location != "none" and len(plotted_labels) >= 1:
-        if ax2 is None:
-            ax.legend(
-                loc=legend_location,
-                fontsize=max(font_size - 1, 1),
-                edgecolor="black",
-            )
-        else:
-            handles1, labels1 = ax.get_legend_handles_labels()
-            handles2, labels2 = ax2.get_legend_handles_labels()
-            merged_handles = handles1 + handles2
-            merged_labels = labels1 + labels2
-            if len(merged_labels) >= 1:
-                ax.legend(
-                    merged_handles,
-                    merged_labels,
-                    loc=legend_location,
-                    fontsize=max(font_size - 1, 1),
-                    edgecolor="black",
-                )
-    _apply_subplot_margin_settings(fig, subplot_margins, use_tight_layout_if_auto=True)
-    return fig, len(plotted_labels), skip_rows
+warnings.simplefilter("ignore", DeprecationWarning)
+warnings.filterwarnings("ignore", message=".*Pyarrow will become a required dependency of pandas.*", category=DeprecationWarning)
+warnings.filterwarnings("ignore", message=".*missing from current font.*", category=UserWarning)
 
+from js import CustomEvent, Object, window  # noqa: E402
+from pyodide.ffi import create_proxy  # noqa: E402
 
-async def on_render(event=None):
-    fig = None
-    try:
-        if CURRENT_DF is not None:
-            _render_data_preview(CURRENT_DF, _get_skip_rows_for_preview())
-        await _ensure_japanese_font()
-        fig, plotted_count, skip_rows = _create_plot_figure()
-        _render_plot_image(fig)
-        _set_data_ready(True)
-        set_status(f"描画に成功しました（{plotted_count}系列、スキップ{skip_rows}行）。")
-    except Exception as exc:
-        set_status(str(exc), True)
-    finally:
-        _safe_close_figure(fig)
+from mplgui import api  # noqa: E402
+from mplgui.fonts import configure_rcparams  # noqa: E402
 
+configure_rcparams()
 
-async def on_save_plot(event=None):
-    fig = None
-    try:
-        await _ensure_japanese_font()
-        save_format = document.getElementById("saveFormat").value.strip().lower()
-        transparent = bool(document.getElementById("saveTransparent").checked)
-        raw_filename = document.getElementById("saveFilename").value.strip()
-        fig, plotted_count, skip_rows = _create_plot_figure()
-        data_uri, ext = figure_to_data_uri(fig, save_format, transparent=transparent)
-        filename = build_filename(raw_filename, ext)
-        if not hasattr(window, "downloadDataUri"):
-            raise ValueError("ダウンロード機能の初期化に失敗しました。")
-        window.downloadDataUri(filename, data_uri)
-        set_status(f"描画データを保存しました: {filename}")
-    except Exception as exc:
-        set_status(str(exc), True)
-    finally:
-        _safe_close_figure(fig)
 
+def _load_file(name, data, load_settings_json):
+    return api.load_file_json(str(name), data.to_py(), str(load_settings_json))
 
-def _bind_click(element_id: str, handler, is_async: bool = False) -> None:
-    element = document.getElementById(element_id)
-    if element is None:
-        raise ValueError(f"UI要素が見つかりません: {element_id}")
 
-    if is_async:
-        def wrapped(event):
-            _spawn_task(handler(event))
-    else:
-        def wrapped(event):
-            handler(event)
+def _code(value):
+    # JS の null / undefined は Python では None とは限らない（jsnull）。文字列のときだけコードとして扱う
+    return value if isinstance(value, str) else None
 
-    proxy = create_proxy(wrapped)
-    _EVENT_PROXIES.append(proxy)
-    element.addEventListener("click", proxy)
 
+def _render(settings_json, custom_code=None):
+    return api.render_json(str(settings_json), _code(custom_code))
 
-def _bind_events() -> None:
-    _bind_click("tabPlotBtn", on_tab_plot)
-    _bind_click("tabDataBtn", on_tab_data)
-    _bind_click("tabCodeBtn", on_tab_code)
-    _bind_click("savePlotBtn", on_save_plot, is_async=True)
 
+def _save(settings_json, custom_code=None):
+    return api.save_json(str(settings_json), _code(custom_code))
 
-def _register_js_api() -> None:
-    def trigger_load(event=None):
-        _spawn_task(on_load_columns())
 
-    def trigger_render(event=None):
-        _spawn_task(on_render())
+def _register_font(data):
+    return api.register_font(data.to_py())
 
-    load_proxy = create_proxy(trigger_load)
-    render_proxy = create_proxy(trigger_render)
-    _EVENT_PROXIES.append(load_proxy)
-    _EVENT_PROXIES.append(render_proxy)
-    window.requestLoadColumns = load_proxy
-    window.requestRender = render_proxy
 
+# create_proxy の参照を保持しておく（GC されると JS から呼べなくなる）
+_PROXIES = {
+    "loadFile": create_proxy(_load_file),
+    "render": create_proxy(_render),
+    "save": create_proxy(_save),
+    "registerFont": create_proxy(_register_font),
+    "fontStatus": create_proxy(api.font_status),
+    "defaultCustomCode": create_proxy(api.default_custom_code),
+}
+_API = Object.new()
+for _name, _proxy in _PROXIES.items():
+    setattr(_API, _name, _proxy)
 
-set_status("")
-_set_data_ready(False)
-_init_custom_code_editor()
-_switch_tab("plot")
-if hasattr(window, "ensureSeriesItems"):
-    window.ensureSeriesItems()
-_register_js_api()
-_bind_events()
+window.mplgui = _API
+window.dispatchEvent(CustomEvent.new("mplgui-ready"))
diff --git a/py/mplgui/api.py b/py/mplgui/api.py
new file mode 100644
index 0000000..62d1260
--- /dev/null
+++ b/py/mplgui/api.py
@@ -0,0 +1,139 @@
+"""JS から呼ばれる JSON 入出力の API（純粋な Python。js / pyodide には依存しない）。
+
+py/main.py はこの関数を window.mplgui に登録するだけ。引数・戻り値はすべて JSON 文字列（ファイル/フォントはバイト列）。
+成功: {"ok": true, ...}  失敗: {"ok": false, "error": {"message", "field"?, "detail"?}}
+"""
+from __future__ import annotations
+
+import json
+import traceback
+
+import matplotlib.pyplot as plt
+
+from . import fonts
+from .errors import UserError
+from .loader import PREVIEW_ROWS, build_preview, column_options, load_file
+from .runner import (
+    DEFAULT_CUSTOM_PLOT_CODE,
+    build_filename,
+    figure_to_data_uri,
+    make_figure,
+)
+from .settings import parse_load_settings, parse_settings
+
+INTERNAL_ERROR_MESSAGE = "内部エラーが発生しました。もう一度操作してください。"
+
+
+class Session:
+    """読み込み済みデータ（ブラウザのタブごとに1つ）。"""
+
+    def __init__(self):
+        self.df = None
+        self.filename = None
+
+
+SESSION = Session()
+
+
+def _dumps(obj) -> str:
+    return json.dumps(obj, ensure_ascii=False)
+
+
+def _error_payload(exc: BaseException, context: str) -> dict:
+    if isinstance(exc, UserError):
+        return {"ok": False, "error": exc.to_dict()}
+    detail = f"context: {context}\ntype: {type(exc).__name__}\nmessage: {exc}\n\ntraceback:\n{traceback.format_exc().strip()}"
+    return {"ok": False, "error": {"message": INTERNAL_ERROR_MESSAGE, "detail": detail}}
+
+
+def _guard(context: str):
+    def deco(fn):
+        def wrapper(*args, **kwargs):
+            try:
+                return _dumps(fn(*args, **kwargs))
+            except Exception as exc:  # noqa: BLE001 - 境界。UserError 以外は内部エラーとして詳細つきで返す
+                return _dumps(_error_payload(exc, context))
+
+        wrapper.__name__ = fn.__name__
+        wrapper.__doc__ = fn.__doc__
+        return wrapper
+
+    return deco
+
+
+def _parse_json(text: str) -> dict:
+    try:
+        data = json.loads(text) if text else {}
+    except json.JSONDecodeError as exc:
+        raise UserError("設定を解釈できませんでした。ページを再読み込みしてください。", detail=str(exc)) from exc
+    return data
+
+
+@_guard("load_file")
+def load_file_json(name: str, data: bytes, load_settings_json: str) -> dict:
+    """ファイルを読み込み、列の選択肢とプレビューを返す。失敗時は読込済みデータを破棄する。"""
+    SESSION.df = None
+    SESSION.filename = None
+    load = parse_load_settings(_parse_json(load_settings_json))
+    loaded = load_file(bytes(data), name, load.delimiter, load.has_header)
+    SESSION.df = loaded.df
+    SESSION.filename = name
+    return {
+        "ok": True,
+        "encoding": loaded.encoding,
+        "columns": column_options(loaded.df),
+        "preview": build_preview(loaded.df, PREVIEW_ROWS),
+        "warnings": [],
+    }
+
+
+def _figure_for(settings_json: str, custom_code: str | None):
+    settings = parse_settings(_parse_json(settings_json))
+    if SESSION.df is None:
+        raise UserError("先にファイルを読み込んでください。")
+    return settings, make_figure(SESSION.df, settings, custom_code)
+
+
+@_guard("render")
+def render_json(settings_json: str, custom_code: str | None = None) -> dict:
+    """設定どおりに描画し、PNG の data URI を返す。"""
+    _, result = _figure_for(settings_json, custom_code)
+    try:
+        uri, _ext = figure_to_data_uri(result.fig, "png", dpi=100)
+    finally:
+        plt.close(result.fig)
+    return {
+        "ok": True,
+        "image": uri,
+        "seriesCount": result.plotted_count,
+        "skipRows": result.skip_rows,
+        "warnings": result.warnings,
+    }
+
+
+@_guard("save")
+def save_json(settings_json: str, custom_code: str | None = None) -> dict:
+    """保存設定の形式で図を書き出し、data URI とファイル名を返す（ダウンロードは JS が行う）。"""
+    settings, result = _figure_for(settings_json, custom_code)
+    try:
+        uri, ext = figure_to_data_uri(result.fig, settings.save.format, transparent=settings.save.transparent)
+    finally:
+        plt.close(result.fig)
+    mime = uri[5 : uri.index(";")]
+    return {"ok": True, "filename": build_filename(settings.save.filename, ext), "mime": mime, "dataUri": uri}
+
+
+def register_font(data: bytes) -> str:
+    """JS が取得した日本語フォントを登録する。"""
+    try:
+        return _dumps({"ok": True, "registered": fonts.register_font_bytes(bytes(data))})
+    except Exception as exc:  # noqa: BLE001
+        return _dumps(_error_payload(exc, "register_font"))
+
+
+def font_status() -> str:
+    return _dumps({"ok": True, "registered": fonts.is_registered()})
+
+
+def default_custom_code() -> str:
+    return DEFAULT_CUSTOM_PLOT_CODE.strip() + "\n"
diff --git a/py/mplgui/errors.py b/py/mplgui/errors.py
new file mode 100644
index 0000000..4cd6f6b
--- /dev/null
+++ b/py/mplgui/errors.py
@@ -0,0 +1,22 @@
+"""エラー型。UserError はユーザーの入力・操作が原因のエラー（日本語メッセージをそのまま画面に出す）。
+
+それ以外の例外は内部エラーとして扱い、短い日本語メッセージと traceback を表示する。
+"""
+
+
+class UserError(Exception):
+    """ユーザーが直せる原因のエラー。message は日本語で、どの項目が悪いかを含める。"""
+
+    def __init__(self, message: str, field: str | None = None, detail: str | None = None):
+        super().__init__(message)
+        self.message = message
+        self.field = field
+        self.detail = detail
+
+    def to_dict(self) -> dict:
+        out: dict = {"message": self.message}
+        if self.field:
+            out["field"] = self.field
+        if self.detail:
+            out["detail"] = self.detail
+        return out
diff --git a/py/mplgui/fonts.py b/py/mplgui/fonts.py
index 6c7bd54..d296421 100644
--- a/py/mplgui/fonts.py
+++ b/py/mplgui/fonts.py
@@ -1,6 +1,11 @@
-"""日本語フォントの設定と登録（js / pyodide には依存しない。取得処理は py/main.py 側）。"""
-from matplotlib import font_manager
+"""日本語フォントの設定と登録（js / pyodide には依存しない。取得処理は JS 側）。"""
+from __future__ import annotations
+
+import tempfile
+from pathlib import Path
+
 import matplotlib.pyplot as plt
+from matplotlib import font_manager
 
 SANS_SERIF_PRIORITY = [
     "Noto Sans JP",
@@ -13,6 +18,8 @@
 ]
 PREFERRED_JP_FONTS = ["Noto Sans CJK JP", "Noto Sans JP"]
 
+_registered = False
+
 
 def configure_rcparams() -> None:
     plt.rcParams["font.family"] = "sans-serif"
@@ -20,7 +27,7 @@ def configure_rcparams() -> None:
     plt.rcParams["axes.unicode_minus"] = False
 
 
-def register_font_file(path: str) -> None:
+def register_font_file(path) -> None:
     """フォントファイルを matplotlib に登録し、日本語フォントを sans-serif の先頭へ移す。"""
     font_manager.fontManager.addfont(str(path))
     current = list(plt.rcParams.get("font.sans-serif", []))
@@ -29,3 +36,19 @@ def register_font_file(path: str) -> None:
             current.remove(name)
         current.insert(0, name)
     plt.rcParams["font.sans-serif"] = current
+
+
+def register_font_bytes(data: bytes, filename: str = "NotoSansCJKjp-Regular.otf") -> bool:
+    """フォントのバイト列を登録する。登録は1セッション1回だけ（2回目以降は何もしない）。"""
+    global _registered
+    if _registered:
+        return False
+    target = Path(tempfile.gettempdir()) / filename
+    target.write_bytes(bytes(data))
+    register_font_file(target)
+    _registered = True
+    return True
+
+
+def is_registered() -> bool:
+    return _registered
diff --git a/py/mplgui/loader.py b/py/mplgui/loader.py
index dcd4e5a..36e9e74 100644
--- a/py/mplgui/loader.py
+++ b/py/mplgui/loader.py
@@ -1,10 +1,22 @@
-"""ファイルのバイト列から DataFrame を作る（DOM / js には依存しない）。"""
+"""ファイルのバイト列から DataFrame を作り、列の選択肢とプレビューを返す（DOM / js には依存しない）。"""
+from __future__ import annotations
+
 import io
+from dataclasses import dataclass
 from pathlib import Path
 
 import pandas as pd
 
+from .errors import UserError
+
 SUPPORTED = {".xlsx", ".csv", ".txt"}
+PREVIEW_ROWS = 100
+
+
+@dataclass
+class LoadedData:
+    df: pd.DataFrame
+    encoding: str | None  # xlsx は None
 
 
 def decode_delimiter(delimiter: str, suffix: str) -> str:
@@ -15,41 +27,82 @@ def decode_delimiter(delimiter: str, suffix: str) -> str:
     return r"\s+"
 
 
-def load_dataframe(
-    file_bytes: bytes,
-    filename: str,
-    delimiter: str,
-    has_header: bool,
-) -> pd.DataFrame:
+def load_file(file_bytes: bytes, filename: str, delimiter: str, has_header: bool) -> LoadedData:
     suffix = Path(filename).suffix.lower()
     if suffix not in SUPPORTED:
-        raise ValueError("対応していない拡張子です。xlsx/csv/txtを選択してください。")
+        raise UserError("対応していない拡張子です。xlsx/csv/txtを選択してください。", field="入力ファイル")
 
     header = 0 if has_header else None
     stream = io.BytesIO(file_bytes)
+    used_encoding: str | None = None
 
-    if suffix == ".xlsx":
-        df = pd.read_excel(stream, header=header)
-    else:
-        sep = decode_delimiter(delimiter, suffix)
-        # UTF-8 で読めなければ Shift-JIS にフォールバック
-        for enc in ("utf-8", "shift_jis"):
-            try:
-                stream.seek(0)
-                df = pd.read_csv(
-                    stream, sep=sep, header=header,
-                    engine="python", encoding=enc,
-                )
-                break
-            except (UnicodeDecodeError, pd.errors.ParserError):
-                if enc == "shift_jis":
-                    raise
-                continue
+    try:
+        if suffix == ".xlsx":
+            df = pd.read_excel(stream, header=header)
+        else:
+            sep = decode_delimiter(delimiter, suffix)
+            # UTF-8 で読めなければ Shift-JIS にフォールバック（A5 で見直す）
+            df = None
+            for enc in ("utf-8", "shift_jis"):
+                try:
+                    stream.seek(0)
+                    df = pd.read_csv(stream, sep=sep, header=header, engine="python", encoding=enc)
+                    used_encoding = enc
+                    break
+                except UnicodeDecodeError:
+                    if enc == "shift_jis":
+                        raise UserError(
+                            "文字コードを判定できませんでした。UTF-8 または Shift-JIS で保存し直してください。",
+                            field="入力ファイル",
+                        )
+                    continue
+    except UserError:
+        raise
+    except pd.errors.ParserError as exc:
+        raise UserError(
+            "ファイルを表として読み込めませんでした。区切り文字や行の形式を確認してください。",
+            field="区切り文字",
+            detail=str(exc),
+        ) from exc
+    except pd.errors.EmptyDataError as exc:
+        raise UserError("データが空です。", field="入力ファイル") from exc
 
     if df.empty:
-        raise ValueError("データが空です。")
+        raise UserError("データが空です。", field="入力ファイル")
 
     if not has_header:
         df.columns = [f"column_{i}" for i in range(len(df.columns))]
 
-    return df
+    return LoadedData(df=df, encoding=used_encoding)
+
+
+def load_dataframe(file_bytes: bytes, filename: str, delimiter: str, has_header: bool) -> pd.DataFrame:
+    return load_file(file_bytes, filename, delimiter, has_header).df
+
+
+def column_options(df: pd.DataFrame) -> list[dict]:
+    """列セレクト用の選択肢。値は列番号ベース（"__idx__N"）で、同名列も区別できる。"""
+    return [{"value": f"__idx__{i}", "label": f"{col} [{i}]"} for i, col in enumerate(df.columns)]
+
+
+def _format_cells(preview_df: pd.DataFrame) -> list[list[str]]:
+    """pandas の表示と同じ書式（to_html と同じ桁数・NaN 表記）で文字列にする。"""
+    try:
+        from pandas.io.formats.format import format_array
+
+        cols = [[s.strip() for s in format_array(preview_df.iloc[:, i]._values, None)] for i in range(preview_df.shape[1])]
+        return [list(row) for row in zip(*cols)] if cols else []
+    except Exception:
+        return [[str(v) for v in row] for row in preview_df.itertuples(index=False, name=None)]
+
+
+def build_preview(df: pd.DataFrame, limit: int = PREVIEW_ROWS) -> dict:
+    preview_df = df.head(limit)
+    return {
+        "columns": [str(c) for c in df.columns],
+        "rows": _format_cells(preview_df),
+        "totalRows": int(len(df)),
+        "totalColumns": int(len(df.columns)),
+        "limit": limit,
+        "truncated": bool(len(df) > limit),
+    }
diff --git a/py/mplgui/plotting.py b/py/mplgui/plotting.py
new file mode 100644
index 0000000..a336d99
--- /dev/null
+++ b/py/mplgui/plotting.py
@@ -0,0 +1,417 @@
+"""TRANSITIONAL: 設定 → matplotlib Figure（Phase 2 で codegen に置き換える）。
+
+DOM / js には依存しない。呼び出し側が戻り値の Figure を必ず plt.close() すること。
+列指定は "__idx__N"（列番号）形式を使う。同名列があっても区別できる。
+"""
+from __future__ import annotations
+
+from dataclasses import dataclass, field
+
+import matplotlib.pyplot as plt
+import pandas as pd
+
+from .errors import UserError
+from .settings import MarginSettings, Settings, series_to_legacy
+
+
+@dataclass
+class FigureResult:
+    fig: object
+    plotted_count: int
+    skip_rows: int
+    warnings: list = field(default_factory=list)  # [{"series": 1始まり, "message": str}]（A7 で使用）
+
+
+# ---------------------------------------------------------------- column helpers (legacy-dict based)
+
+
+def parse_column_index(requested: str) -> int | None:
+    if not requested.startswith("__idx__"):
+        return None
+    idx_text = requested.replace("__idx__", "", 1)
+    if not idx_text.isdigit():
+        return None
+    return int(idx_text)
+
+
+def resolve_column(df: pd.DataFrame, requested: str):
+    if requested.startswith("__idx__"):
+        idx_text = requested.replace("__idx__", "", 1)
+        if not idx_text.isdigit():
+            raise UserError(f"列の指定が不正です: {requested}")
+        idx = int(idx_text)
+        if idx < 0 or idx >= len(df.columns):
+            raise UserError(f"列番号 {idx} がデータの列数を超えています。")
+        return df.columns[idx]
+
+    if requested in df.columns:
+        return requested
+    matched = [col for col in df.columns if str(col) == requested]
+    if len(matched) == 1:
+        return matched[0]
+    raise UserError(f"列が見つかりません: {requested}")
+
+
+def get_series_from_request(df: pd.DataFrame, requested: str) -> tuple[pd.Series, str, int]:
+    idx = parse_column_index(requested)
+    if idx is not None:
+        if idx < 0 or idx >= len(df.columns):
+            raise UserError(f"列番号 {idx} がデータの列数を超えています。")
+        return df.iloc[:, idx], str(df.columns[idx]), idx
+
+    resolved = resolve_column(df, requested)
+    found_idx = -1
+    for i, col in enumerate(df.columns):
+        if col == resolved:
+            found_idx = i
+            break
+    return df[resolved], str(resolved), found_idx
+
+
+def resolve_series_requests(df: pd.DataFrame, settings: list[dict]) -> list[str]:
+    """Y列が自動("")の系列に、未使用の最初の数値列を割り当てる。"""
+    numeric_indices = [i for i, dtype in enumerate(df.dtypes) if pd.api.types.is_numeric_dtype(dtype)]
+    candidates = numeric_indices if numeric_indices else [0]
+    used_indices = set()
+    resolved = []
+
+    for setting in settings:
+        request = setting["y_request"]
+        if request:
+            idx = parse_column_index(request)
+            if idx is not None:
+                used_indices.add(idx)
+            resolved.append(request)
+            continue
+
+        chosen = None
+        for idx in candidates:
+            if idx not in used_indices:
+                chosen = idx
+                break
+        if chosen is None:
+            chosen = candidates[0]
+        used_indices.add(chosen)
+        resolved.append(f"__idx__{chosen}")
+
+    return resolved
+
+
+def get_plot_data(df: pd.DataFrame, series_settings: list[dict], x_request: str = "") -> tuple[pd.Series, str, list[dict]]:
+    """共通X列を使うデータ整形（bar 用）。x_request が空なら index。"""
+    x_req = (x_request or "").strip()
+    y_requests = resolve_series_requests(df, series_settings)
+
+    if x_req:
+        x, x_label, _ = get_series_from_request(df, x_req)
+    else:
+        x = pd.Series(df.index, name="index")
+        x_label = "index"
+
+    plot_df = pd.DataFrame({"x": x})
+    series_entries = []
+    for i, (setting, request) in enumerate(zip(series_settings, y_requests)):
+        y_series, y_name, y_idx = get_series_from_request(df, request)
+        y_key = f"y_{i}"
+        label_suffix = f" [{y_idx}]" if y_idx >= 0 else ""
+        data_label = f"{y_name}{label_suffix}"
+        plot_df[y_key] = pd.to_numeric(y_series, errors="coerce")
+        entry = dict(setting)
+        entry["y_key"] = y_key
+        entry["data_label"] = data_label
+        entry["legend_label"] = setting.get("legend_name") or data_label
+        series_entries.append(entry)
+
+    y_keys = [entry["y_key"] for entry in series_entries]
+    plot_df = plot_df.dropna(subset=y_keys, how="all")
+    if plot_df.empty:
+        raise UserError("描画可能な数値データがありません。")
+
+    for entry in series_entries:
+        entry["y_series"] = plot_df[entry["y_key"]]
+
+    return plot_df["x"], x_label, series_entries
+
+
+def get_per_series_xy_data(df: pd.DataFrame, series_settings: list[dict]) -> tuple[list[dict], str]:
+    """系列ごとにX列を指定できるデータ整形（line / scatter 用）。"""
+    y_requests = resolve_series_requests(df, series_settings)
+    entries = []
+    x_labels = []
+
+    for setting, y_request in zip(series_settings, y_requests):
+        x_request = setting.get("x_request", "").strip()
+        if x_request:
+            x_series, x_label, _ = get_series_from_request(df, x_request)
+        else:
+            x_series = pd.Series(df.index, name="index")
+            x_label = "index"
+
+        y_series, y_name, y_idx = get_series_from_request(df, y_request)
+        label_suffix = f" [{y_idx}]" if y_idx >= 0 else ""
+        data_label = f"{y_name}{label_suffix}"
+
+        entry = dict(setting)
+        entry["x_series"] = x_series.reset_index(drop=True)
+        entry["y_series"] = pd.to_numeric(y_series, errors="coerce").reset_index(drop=True)
+        entry["data_label"] = data_label
+        entry["legend_label"] = setting.get("legend_name") or data_label
+        entry["x_label"] = x_label
+        entries.append(entry)
+        x_labels.append(x_label)
+
+    has_points = False
+    for entry in entries:
+        mask = entry["y_series"].notna() & pd.notna(entry["x_series"])
+        if bool(mask.any()):
+            has_points = True
+            break
+    if not has_points:
+        raise UserError("描画可能な数値データがありません。")
+
+    common_x_label = x_labels[0] if len(set(x_labels)) == 1 else "x"
+    return entries, common_x_label
+
+
+# ---------------------------------------------------------------- styling shared with the legacy override
+
+
+def apply_axis_scale_and_limits(target_ax, axis_kind: str, axis_label: str, scale: str,
+                                min_value: float | None, max_value: float | None) -> None:
+    if scale not in {"linear", "log"}:
+        raise UserError(f"{axis_label}軸スケールが不正です。")
+    if min_value is not None and max_value is not None and min_value >= max_value:
+        raise UserError(f"{axis_label}軸の範囲は最小値 < 最大値で指定してください。")
+    if scale == "log" and ((min_value is not None and min_value <= 0) or (max_value is not None and max_value <= 0)):
+        raise UserError(f"{axis_label}軸を対数にする場合、範囲は0より大きい値で指定してください。")
+
+    try:
+        if axis_kind == "x":
+            target_ax.set_xscale(scale)
+            if min_value is not None or max_value is not None:
+                target_ax.set_xlim(left=min_value, right=max_value)
+        elif axis_kind == "y":
+            target_ax.set_yscale(scale)
+            if min_value is not None or max_value is not None:
+                target_ax.set_ylim(bottom=min_value, top=max_value)
+        else:
+            raise UserError(f"軸種別が不正です: {axis_kind}")
+    except UserError:
+        raise
+    except Exception as exc:
+        raise UserError(f"{axis_label}軸設定の適用に失敗しました。", detail=str(exc)) from exc
+
+
+def apply_subplot_margins(fig, margins: dict, use_tight_layout_if_auto: bool = False) -> None:
+    provided = {k: v for k, v in (margins or {}).items() if v is not None}
+    if provided:
+        if use_tight_layout_if_auto and len(provided) < 4:
+            try:
+                fig.tight_layout()
+                auto_margins = {
+                    "left": fig.subplotpars.left,
+                    "right": fig.subplotpars.right,
+                    "bottom": fig.subplotpars.bottom,
+                    "top": fig.subplotpars.top,
+                }
+                auto_margins.update(provided)
+                fig.subplots_adjust(**auto_margins)
+                return
+            except Exception:
+                pass
+        try:
+            fig.subplots_adjust(**provided)
+        except Exception as exc:
+            raise UserError("余白設定の適用に失敗しました。", detail=str(exc)) from exc
+    elif use_tight_layout_if_auto:
+        fig.tight_layout()
+
+
+def apply_axes_decoration(ax, ax2, *, font_size: float, scales: dict, limits: dict,
+                          show_major_grid: bool, show_minor_grid: bool) -> None:
+    """スケール・範囲・目盛（内向き）・グリッドを設定する。
+
+    scales / limits は {"x","y","y2"} をキーにし、limits の値は (min, max)。
+    """
+    apply_axis_scale_and_limits(ax, "x", "X", scales["x"], *limits["x"])
+    apply_axis_scale_and_limits(ax, "y", "Y", scales["y"], *limits["y"])
+    if ax2 is not None:
+        apply_axis_scale_and_limits(ax2, "y", "第2Y", scales["y2"], *limits["y2"])
+
+    label_size = max(font_size - 1, 1)
+    ax.tick_params(axis="x", which="both", direction="in", bottom=True, top=False, labelsize=label_size)
+    ax.tick_params(axis="y", which="both", direction="in", left=True, right=False, labelsize=label_size)
+    if ax2 is not None:
+        ax2.tick_params(axis="y", which="both", direction="in", left=False, right=True, labelsize=label_size)
+
+    if show_minor_grid:
+        ax.minorticks_on()
+        if ax2 is not None:
+            ax2.minorticks_on()
+    else:
+        ax.minorticks_off()
+        if ax2 is not None:
+            ax2.minorticks_off()
+
+    ax.grid(False, which="both", axis="both")
+    if show_major_grid:
+        ax.grid(True, which="major", axis="both", alpha=0.3)
+    if show_minor_grid:
+        ax.grid(True, which="minor", axis="both", alpha=0.2, linestyle=":")
+    if ax2 is not None:
+        ax2.grid(False, which="both", axis="y")
+        if show_major_grid:
+            ax2.grid(True, which="major", axis="y", alpha=0.3)
+        if show_minor_grid:
+            ax2.grid(True, which="minor", axis="y", alpha=0.2, linestyle=":")
+
+
+def settings_scales_and_limits(settings: Settings) -> tuple[dict, dict]:
+    a = settings.axes
+    scales = {"x": a.x.scale, "y": a.y.scale, "y2": a.y2.scale}
+    limits = {"x": (a.x.min, a.x.max), "y": (a.y.min, a.y.max), "y2": (a.y2.min, a.y2.max)}
+    return scales, limits
+
+
+def figure_has_visible_artists(fig) -> bool:
+    if fig is None or not hasattr(fig, "axes"):
+        return False
+    for axis in fig.axes:
+        if len(axis.lines) > 0 or len(axis.collections) > 0 or len(axis.patches) > 0 or len(axis.images) > 0:
+            return True
+        if hasattr(axis, "containers") and len(axis.containers) > 0:
+            return True
+    return False
+
+
+# ---------------------------------------------------------------- figure creation
+
+
+def slice_skip_rows(df_full: pd.DataFrame, skip_rows: int) -> pd.DataFrame:
+    if skip_rows >= len(df_full):
+        raise UserError("スキップ行数がデータ行数以上です。「除外する先頭行数」を小さくしてください。", field="除外する先頭行数")
+    return df_full.iloc[skip_rows:].reset_index(drop=True)
+
+
+def create_figure(df_full: pd.DataFrame, settings: Settings) -> FigureResult:
+    """設定どおりの Figure を作る。失敗時は作りかけの Figure を閉じて例外を送出する。"""
+    plot = settings.plot
+    skip_rows = plot.skip_rows
+    df = slice_skip_rows(df_full, skip_rows)
+    series_settings = series_to_legacy(settings)
+    plot_type = plot.type
+    font_size = plot.font_size
+
+    fig, ax = plt.subplots(figsize=(plot.figure.width, plot.figure.height), dpi=100)
+    try:
+        ax2 = None
+        plotted_labels = []
+
+        def target_axis(entry):
+            nonlocal ax2
+            if entry.get("use_secondary_axis", False):
+                if ax2 is None:
+                    ax2 = ax.twinx()
+                return ax2
+            return ax
+
+        if plot_type in {"line", "scatter"}:
+            all_entries, x_label = get_per_series_xy_data(df, series_settings)
+            for entry in all_entries:
+                x_series = entry["x_series"]
+                y_series = entry["y_series"]
+                mask = y_series.notna() & pd.notna(x_series)
+                if not bool(mask.any()):
+                    continue
+                target_ax = target_axis(entry)
+                if plot_type == "line":
+                    marker = "o" if entry["marker_size"] > 0 else ""
+                    marker_size_for_line = entry["marker_size"] ** 0.5 if entry["marker_size"] > 0 else 0
+                    target_ax.plot(
+                        x_series[mask], y_series[mask],
+                        color=entry["color"], linewidth=entry["line_width"], linestyle=entry["line_style"],
+                        marker=marker, markersize=marker_size_for_line, label=entry["legend_label"],
+                    )
+                else:
+                    target_ax.scatter(
+                        x_series[mask], y_series[mask],
+                        color=entry["color"], s=entry["marker_size"], label=entry["legend_label"],
+                    )
+                plotted_labels.append(entry["legend_label"])
+        else:
+            x, x_label, all_entries = get_plot_data(df, series_settings, plot.x_column)
+            if len(all_entries) == 1:
+                entry = all_entries[0]
+                y_series = entry["y_series"]
+                mask = y_series.notna() & pd.notna(x)
+                if bool(mask.any()):
+                    target_axis(entry).bar(
+                        x[mask], y_series[mask],
+                        color=entry["color"], linewidth=entry["line_width"], linestyle=entry["line_style"],
+                        label=entry["legend_label"],
+                    )
+                    plotted_labels.append(entry["legend_label"])
+            else:
+                x_labels = [str(v) for v in x.tolist()]
+                positions = list(range(len(x_labels)))
+                width = 0.8 / len(all_entries)
+                for i, entry in enumerate(all_entries):
+                    y_values = [float(v) if pd.notna(v) else 0.0 for v in entry["y_series"].tolist()]
+                    offset = -0.4 + (width / 2.0) + (i * width)
+                    target_axis(entry).bar(
+                        [p + offset for p in positions], y_values, width=width,
+                        color=entry["color"], linewidth=entry["line_width"], linestyle=entry["line_style"],
+                        label=entry["legend_label"],
+                    )
+                    plotted_labels.append(entry["legend_label"])
+                if positions:
+                    if len(positions) > 25:
+                        step = max(1, len(positions) // 25)
+                        tick_positions = [positions[i] for i in range(0, len(positions), step)]
+                        tick_labels = [x_labels[i] for i in range(0, len(x_labels), step)]
+                    else:
+                        tick_positions = positions
+                        tick_labels = x_labels
+                    ax.set_xticks(tick_positions)
+                    ax.set_xticklabels(tick_labels, rotation=45, ha="right")
+
+        if not plotted_labels:
+            raise UserError("描画可能なデータがありません。")
+
+        primary_labels = [e["data_label"] for e in all_entries if not e.get("use_secondary_axis", False)]
+        secondary_labels = [e["data_label"] for e in all_entries if e.get("use_secondary_axis", False)]
+        axes = settings.axes
+
+        if plot.title:
+            ax.set_title(plot.title, fontsize=font_size + 2)
+        ax.set_xlabel(axes.x.label or x_label, fontsize=font_size)
+        if axes.y.label:
+            ax.set_ylabel(axes.y.label, fontsize=font_size)
+        else:
+            ax.set_ylabel(primary_labels[0] if len(primary_labels) == 1 else "values", fontsize=font_size)
+        if ax2 is not None:
+            right_default = secondary_labels[0] if len(secondary_labels) == 1 else "values"
+            ax2.set_ylabel(axes.y2.label or right_default, fontsize=font_size)
+
+        scales, limits = settings_scales_and_limits(settings)
+        apply_axes_decoration(
+            ax, ax2, font_size=font_size, scales=scales, limits=limits,
+            show_major_grid=plot.grid_major, show_minor_grid=plot.grid_minor,
+        )
+
+        if plot.legend_location != "none" and plotted_labels:
+            handles, labels = ax.get_legend_handles_labels()
+            if ax2 is not None:
+                h2, l2 = ax2.get_legend_handles_labels()
+                handles, labels = handles + h2, labels + l2
+            if labels:
+                ax.legend(handles, labels, loc=plot.legend_location, fontsize=max(font_size - 1, 1), edgecolor="black")
+
+        m: MarginSettings = plot.margins
+        apply_subplot_margins(
+            fig, {"left": m.left, "right": m.right, "bottom": m.bottom, "top": m.top}, use_tight_layout_if_auto=True,
+        )
+    except BaseException:
+        plt.close(fig)
+        raise
+    return FigureResult(fig=fig, plotted_count=len(plotted_labels), skip_rows=skip_rows)
diff --git a/py/mplgui/runner.py b/py/mplgui/runner.py
index dbd1139..25061c0 100644
--- a/py/mplgui/runner.py
+++ b/py/mplgui/runner.py
@@ -1,44 +1,113 @@
-"""Figure を画像（data URI）にする。保存ファイル名の組み立ても行う（DOM / js には依存しない）。"""
+"""Figure → 画像バイト列、保存ファイル名、旧 Pythonコード(beta) タブの実行（DOM / js には依存しない）。
+
+カスタムコードは設定とは別の引数で受け取る。GUI 設定による上書き（A8）は従来どおり残している（Phase 2 で変更予定）。
+"""
+from __future__ import annotations
+
 import base64
+import builtins
 import io
+import traceback
+from functools import partial
 
+import matplotlib.pyplot as plt
+import pandas as pd
 
-def figure_to_data_uri(fig, file_format: str, transparent: bool = False) -> tuple[str, str]:
-    fmt = (file_format or "").lower()
-    if fmt == "png":
-        save_format = "png"
-        mime = "image/png"
-        ext = "png"
-    elif fmt == "jpg":
-        save_format = "jpeg"
-        mime = "image/jpeg"
-        ext = "jpg"
-    elif fmt == "svg":
-        save_format = "svg"
-        mime = "image/svg+xml"
-        ext = "svg"
-    elif fmt == "pdf":
-        save_format = "pdf"
-        mime = "application/pdf"
-        ext = "pdf"
-    else:
-        raise ValueError("保存形式が不正です。")
+from .errors import UserError
+from .plotting import (
+    FigureResult,
+    apply_axes_decoration,
+    apply_subplot_margins,
+    create_figure,
+    figure_has_visible_artists,
+    get_per_series_xy_data,
+    get_plot_data,
+    resolve_series_requests,
+    settings_scales_and_limits,
+    slice_skip_rows,
+)
+from .settings import Settings, to_legacy_dict
+
+DEFAULT_CUSTOM_PLOT_CODE = """# 利用可能オブジェクト:
+# - df: skipRows適用後のDataFrame
+# - current_df: 読み込み直後のDataFrame（skipRows未適用）
+# - settings: GUI設定(dict)
+# - plt, pd
+# 必須:
+# - fig に Figure を代入
+# 任意:
+# - plotted_count (int) を設定（未設定時は自動判定）
+
+fig, ax = plt.subplots(figsize=(settings["fig_width"], settings["fig_height"]), dpi=100)
+
+if df.shape[1] < 2:
+    raise ValueError("2列以上のデータが必要です。")
+
+x = pd.to_numeric(df.iloc[:, 0], errors="coerce")
+y = pd.to_numeric(df.iloc[:, 1], errors="coerce")
+mask = x.notna() & y.notna()
+if not bool(mask.any()):
+    raise ValueError("先頭2列に描画可能な数値データがありません。")
+
+series_settings = settings.get("series_settings", [])
+default_legend = ""
+if isinstance(series_settings, list) and len(series_settings) > 0:
+    default_legend = str(series_settings[0].get("legend_name", "") or "").strip()
+if not default_legend:
+    default_legend = str(df.columns[1])
+
+ax.plot(
+    x[mask],
+    y[mask],
+    color="#005AFF",
+    linewidth=2.0,
+    marker="o",
+    markersize=4,
+    label=default_legend,
+)
+ax.set_title(settings["title"])
+ax.set_xlabel(settings["x_label"] or str(df.columns[0]))
+ax.set_ylabel(settings["y_label"] or str(df.columns[1]))
+ax.grid(True, alpha=0.3)
+ax.legend(loc="best", edgecolor="black")
+fig.tight_layout()
+
+plotted_count = 1
+"""
 
+_FORMATS = {
+    "png": ("png", "image/png", "png"),
+    "jpg": ("jpeg", "image/jpeg", "jpg"),
+    "svg": ("svg", "image/svg+xml", "svg"),
+    "pdf": ("pdf", "application/pdf", "pdf"),
+}
+
+
+def figure_to_bytes(fig, file_format: str, transparent: bool = False, dpi: int = 120) -> tuple[bytes, str, str]:
+    """Figure を指定形式のバイト列にする。戻り値は (bytes, mime, 拡張子)。"""
+    fmt = (file_format or "").lower()
+    if fmt not in _FORMATS:
+        raise UserError("保存形式が不正です。", field="保存形式")
     if transparent and fmt not in {"png", "svg"}:
-        raise ValueError("背景透過を有効にした場合、保存形式はpngまたはsvgを選択してください。")
+        raise UserError("背景透過を有効にした場合、保存形式はpngまたはsvgを選択してください。", field="保存形式")
+    save_format, mime, ext = _FORMATS[fmt]
 
-    buffer = io.BytesIO()
     save_kwargs = {}
     if save_format in {"png", "jpeg"}:
-        save_kwargs["dpi"] = 120
+        save_kwargs["dpi"] = dpi
     if save_format == "jpeg":
         save_kwargs["facecolor"] = "white"
     if transparent:
         save_kwargs["transparent"] = True
 
+    buffer = io.BytesIO()
     fig.savefig(buffer, format=save_format, **save_kwargs)
-    encoded = base64.b64encode(buffer.getvalue()).decode("ascii")
-    return f"data:{mime};base64,{encoded}", ext
+    return buffer.getvalue(), mime, ext
+
+
+def figure_to_data_uri(fig, file_format: str, transparent: bool = False, dpi: int = 120) -> tuple[str, str]:
+    data, mime, ext = figure_to_bytes(fig, file_format, transparent, dpi)
+    return f"data:{mime};base64,{base64.b64encode(data).decode('ascii')}", ext
 
 
 def build_filename(raw_filename: str, ext: str) -> str:
@@ -51,3 +120,161 @@ def build_filename(raw_filename: str, ext: str) -> str:
         filename_base = filename_base.strip() or "plot"
         return f"{filename_base}.{ext}"
     return f"plot.{ext}"
+
+
+# ---------------------------------------------------------------- legacy custom code
+
+
+def _apply_gui_overrides_to_custom_figure(fig, legacy: dict, settings: Settings) -> None:
+    """従来どおり、GUI設定（タイトル・ラベル・スケール・目盛・グリッド・凡例）でカスタムコードの図を上書きする。"""
+    if fig is None or not hasattr(fig, "axes") or len(fig.axes) == 0:
+        return
+
+    ax = fig.axes[0]
+    ax2 = fig.axes[1] if len(fig.axes) >= 2 else None
+    font_size = float(legacy.get("font_size", 15) or 15)
+    legend_location = legacy["legend_location"]
+
+    if legacy["title"]:
+        ax.set_title(legacy["title"], fontsize=font_size + 2)
+    ax.set_xlabel(legacy["x_label"] or ax.get_xlabel(), fontsize=font_size)
+    ax.set_ylabel(legacy["y_label"] or ax.get_ylabel(), fontsize=font_size)
+    if ax2 is not None:
+        ax2.set_ylabel(legacy["y2_label"] or ax2.get_ylabel(), fontsize=font_size)
+
+    scales, limits = settings_scales_and_limits(settings)
+    apply_axes_decoration(
+        ax, ax2, font_size=font_size, scales=scales, limits=limits,
+        show_major_grid=legacy["show_major_grid"], show_minor_grid=legacy["show_minor_grid"],
+    )
+
+    for axis in fig.axes:
+        existing_legend = axis.get_legend()
+        if existing_legend is not None:
+            existing_legend.remove()
+
+    if legend_location == "none":
+        return
+
+    handles = []
+    labels = []
+    for axis in fig.axes:
+        h, lab = axis.get_legend_handles_labels()
+        handles.extend(h)
+        labels.extend(lab)
+    if not labels:
+        return
+
+    for i, setting in enumerate(legacy.get("series_settings", [])):
+        if i >= len(labels):
+            break
+        legend_name = str(setting.get("legend_name", "") or "").strip()
+        if legend_name:
+            labels[i] = legend_name
+
+    ax.legend(handles, labels, loc=legend_location, fontsize=max(font_size - 1, 1), edgecolor="black")
+
+
+def run_custom_code(code: str, df_full: pd.DataFrame, settings: Settings) -> FigureResult:
+    """Pythonコード(beta)を実行し、fig を取り出す。名前空間は従来と同じ。"""
+    skip_rows = settings.plot.skip_rows
+    df = slice_skip_rows(df_full, skip_rows)
+    if not (code or "").strip():
+        raise UserError("カスタムコードが空です。", field="カスタムコード")
+
+    legacy = to_legacy_dict(settings)
+    series_legacy = legacy["series_settings"]
+    x_request = settings.plot.x_column
+    helper_plot_data = partial(get_plot_data, x_request=x_request)
+    context = {
+        "df": df,
+        "current_df": df_full,
+        "settings": legacy,
+        "series_settings": series_legacy,
+        "helpers": {
+            "get_plot_data": helper_plot_data,
+            "get_per_series_xy_data": get_per_series_xy_data,
+            "resolve_series_requests": resolve_series_requests,
+        },
+    }
+    local_scope = {
+        "df": df.copy(),
+        "current_df": df_full.copy(),
+        "settings": legacy,
+        "ctx": context,
+        "series_settings": series_legacy,
+        "get_plot_data": helper_plot_data,
+        "get_per_series_xy_data": get_per_series_xy_data,
+        "resolve_series_requests": resolve_series_requests,
+        "plt": plt,
+        "pd": pd,
+        "fig": None,
+        "plotted_count": None,
+        "skip_rows": skip_rows,
+    }
+    global_scope = {"__builtins__": builtins, "plt": plt, "pd": pd}
+
+    before = set(plt.get_fignums())
+
+    def close_new_figures(keep=None):
+        for num in set(plt.get_fignums()) - before:
+            if keep is not None and getattr(keep, "number", None) == num:
+                continue
+            plt.close(num)
+
+    fig = None
+    try:
+        try:
+            exec(code, global_scope, local_scope)
+        except UserError:
+            raise
+        except Exception as exc:
+            raise UserError(
+                f"カスタムコードの実行に失敗しました: {exc}", field="カスタムコード", detail=traceback.format_exc()
+            ) from exc
+
+        fig = local_scope.get("fig")
+        if fig is None:
+            raise UserError("カスタムコードで fig を生成してください。", field="カスタムコード")
+        if not hasattr(fig, "savefig"):
+            raise UserError("fig には matplotlib.figure.Figure を設定してください。", field="カスタムコード")
+        _apply_gui_overrides_to_custom_figure(fig, legacy, settings)
+        m = settings.plot.margins
+        apply_subplot_margins(
+            fig, {"left": m.left, "right": m.right, "bottom": m.bottom, "top": m.top}, use_tight_layout_if_auto=True
+        )
+
+        plotted_raw = local_scope.get("plotted_count")
+        if plotted_raw is None:
+            plotted_count = 1 if figure_has_visible_artists(fig) else 0
+        else:
+            try:
+                plotted_count = int(plotted_raw)
+            except Exception:
+                raise UserError("plotted_count は整数で指定してください。", field="カスタムコード")
+        if plotted_count <= 0 and figure_has_visible_artists(fig):
+            plotted_count = 1
+        if plotted_count <= 0:
+            raise UserError("描画可能なデータがありません。")
+
+        custom_skip_rows = local_scope.get("skip_rows", skip_rows)
+        try:
+            custom_skip_rows = int(custom_skip_rows)
+        except Exception:
+            custom_skip_rows = skip_rows
+        if custom_skip_rows < 0:
+            custom_skip_rows = skip_rows
+    except BaseException:
+        close_new_figures()
+        if fig is not None and hasattr(fig, "number"):
+            plt.close(fig)
+        raise
+    close_new_figures(keep=fig)
+    return FigureResult(fig=fig, plotted_count=plotted_count, skip_rows=custom_skip_rows)
+
+
+def make_figure(df_full: pd.DataFrame, settings: Settings, custom_code: str | None = None) -> FigureResult:
+    """custom_code が None なら GUI 設定で、文字列ならそのコードで Figure を作る。"""
+    if custom_code is not None:
+        return run_custom_code(custom_code, df_full, settings)
+    return create_figure(df_full, settings)
diff --git a/py/mplgui/settings.py b/py/mplgui/settings.py
new file mode 100644
index 0000000..fbd4cd5
--- /dev/null
+++ b/py/mplgui/settings.py
@@ -0,0 +1,459 @@
+"""設定オブジェクト（JSON, camelCase, version=1）の既定値・検証・型付きデータクラス。
+
+JS 側の js/defaults.js と default_settings() は同一でなければならない（単体テストで比較する）。
+このモジュールは js / pyodide / pyscript に依存しない。
+"""
+from __future__ import annotations
+
+import copy
+import math
+from dataclasses import dataclass, field
+from typing import Any
+
+from matplotlib.colors import is_color_like
+
+from .errors import UserError
+
+SCHEMA_VERSION = 1
+
+PLOT_TYPES = ("line", "scatter", "bar")
+LINE_STYLES = ("solid", "dashed", "dashdot", "dotted")
+SCALES = ("linear", "log")
+SAVE_FORMATS = ("png", "jpg", "svg", "pdf")
+LEGEND_LOCATIONS = (
+    "best",
+    "upper right",
+    "upper left",
+    "lower right",
+    "lower left",
+    "upper center",
+    "lower center",
+    "center right",
+    "center left",
+    "center",
+    "none",
+)
+DEFAULT_SCATTER_MARKER_SIZE = 24.0
+
+_DEFAULT_SERIES = {
+    "id": "s1",
+    "x": "",
+    "y": "",
+    "color": "#FF4B00",
+    "lineWidth": 2,
+    "lineStyle": "solid",
+    "markerSize": None,
+    "label": "",
+    "secondaryAxis": False,
+}
+
+
+def default_settings() -> dict:
+    """既定の設定（JSON 互換の dict）。呼ぶたびに新しい dict を返す。"""
+    return {
+        "version": SCHEMA_VERSION,
+        "load": {"delimiter": "", "hasHeader": True},
+        "plot": {
+            "type": "line",
+            "skipRows": 0,
+            "xColumn": "",
+            "title": "",
+            "fontSize": 15,
+            "figure": {"width": 8, "height": 6},
+            "legend": {"location": "best"},
+            "grid": {"major": False, "minor": False},
+            "margins": {"left": None, "right": None, "bottom": None, "top": None},
+        },
+        "axes": {
+            "x": {"label": "", "scale": "linear", "min": None, "max": None},
+            "y": {"label": "", "scale": "linear", "min": None, "max": None},
+            "y2": {"label": "", "scale": "linear", "min": None, "max": None},
+        },
+        "series": [copy.deepcopy(_DEFAULT_SERIES)],
+        "save": {"filename": "", "format": "png", "transparent": False},
+    }
+
+
+# ---------------------------------------------------------------- dataclasses
+
+
+@dataclass(frozen=True)
+class LoadSettings:
+    delimiter: str = ""
+    has_header: bool = True
+
+
+@dataclass(frozen=True)
+class AxisSettings:
+    label: str = ""
+    scale: str = "linear"
+    min: float | None = None
+    max: float | None = None
+
+
+@dataclass(frozen=True)
+class FigureSettings:
+    width: float = 8.0
+    height: float = 6.0
+
+
+@dataclass(frozen=True)
+class MarginSettings:
+    left: float | None = None
+    right: float | None = None
+    bottom: float | None = None
+    top: float | None = None
+
+    def provided(self) -> dict:
+        return {k: v for k, v in (("left", self.left), ("right", self.right), ("bottom", self.bottom), ("top", self.top)) if v is not None}
+
+
+@dataclass(frozen=True)
+class PlotSettings:
+    type: str = "line"
+    skip_rows: int = 0
+    x_column: str = ""
+    title: str = ""
+    font_size: float = 15.0
+    figure: FigureSettings = field(default_factory=FigureSettings)
+    legend_location: str = "best"
+    grid_major: bool = False
+    grid_minor: bool = False
+    margins: MarginSettings = field(default_factory=MarginSettings)
+
+
+@dataclass(frozen=True)
+class AxesSettings:
+    x: AxisSettings = field(default_factory=AxisSettings)
+    y: AxisSettings = field(default_factory=AxisSettings)
+    y2: AxisSettings = field(default_factory=AxisSettings)
+
+
+@dataclass(frozen=True)
+class SeriesSettings:
+    id: str = "s1"
+    x: str = ""
+    y: str = ""
+    color: str = "#FF4B00"
+    line_width: float = 2.0
+    line_style: str = "solid"
+    marker_size: float | None = None  # None = プロット種別ごとの自動値
+    label: str = ""
+    secondary_axis: bool = False
+
+    def effective_marker_size(self, plot_type: str) -> float:
+        """自動(None)は line=0 / それ以外=24。scatter で 0 以下なら 24 に補正する。"""
+        size = self.marker_size
+        if size is None:
+            return 0.0 if plot_type == "line" else DEFAULT_SCATTER_MARKER_SIZE
+        if plot_type == "scatter" and size <= 0:
+            return DEFAULT_SCATTER_MARKER_SIZE
+        return float(size)
+
+
+@dataclass(frozen=True)
+class SaveSettings:
+    filename: str = ""
+    format: str = "png"
+    transparent: bool = False
+
+
+@dataclass(frozen=True)
+class Settings:
+    version: int = SCHEMA_VERSION
+    load: LoadSettings = field(default_factory=LoadSettings)
+    plot: PlotSettings = field(default_factory=PlotSettings)
+    axes: AxesSettings = field(default_factory=AxesSettings)
+    series: tuple[SeriesSettings, ...] = ()
+    save: SaveSettings = field(default_factory=SaveSettings)
+
+    @property
+    def uses_secondary_axis(self) -> bool:
+        return any(s.secondary_axis for s in self.series)
+
+
+# ---------------------------------------------------------------- coercion helpers
+
+
+def _is_blank(value: Any) -> bool:
+    return value is None or (isinstance(value, str) and not value.strip())
+
+
+def _to_float(value: Any) -> float | None:
+    """数値 | 数値文字列 → float。変換できなければ None（bool・NaN・inf も不可）。"""
+    if isinstance(value, bool):
+        return None
+    if isinstance(value, (int, float)):
+        num = float(value)
+    elif isinstance(value, str):
+        try:
+            num = float(value.strip())
+        except ValueError:
+            return None
+    else:
+        return None
+    return num if math.isfinite(num) else None
+
+
+def _number(value: Any, label: str, *, default: float | None = None, minimum: float | None = None,
+            exclusive_min: float | None = None, maximum: float | None = None, owner: str = "") -> float | None:
+    """数値項目を検証する。空(None/空文字)は default を返す（None なら None）。"""
+    name = f"{owner}「{label}」"
+    if _is_blank(value):
+        return default
+    num = _to_float(value)
+    if num is None:
+        raise UserError(f"{name}は数値で入力してください。", field=label)
+    if exclusive_min is not None and num <= exclusive_min:
+        raise UserError(f"{name}は{_fmt(exclusive_min)}より大きい数値で入力してください。", field=label)
+    if minimum is not None and num < minimum:
+        raise UserError(f"{name}は{_fmt(minimum)}以上の数値で入力してください。", field=label)
+    if maximum is not None and num > maximum:
+        raise UserError(f"{name}は{_fmt(maximum)}以下の数値で入力してください。", field=label)
+    return num
+
+
+def _fmt(v: float) -> str:
+    return str(int(v)) if float(v).is_integer() else str(v)
+
+
+def _integer(value: Any, label: str, *, default: int = 0, minimum: int = 0) -> int:
+    if _is_blank(value):
+        return default
+    num = _to_float(value)
+    if num is None or not num.is_integer():
+        raise UserError(f"「{label}」は{minimum}以上の整数で入力してください。", field=label)
+    if num < minimum:
+        raise UserError(f"「{label}」は{minimum}以上の整数で入力してください。", field=label)
+    return int(num)
+
+
+def _string(value: Any, label: str, *, owner: str = "") -> str:
+    if value is None:
+        return ""
+    if not isinstance(value, str):
+        raise UserError(f"{owner}「{label}」は文字列で指定してください。", field=label)
+    return value
+
+
+def _boolean(value: Any, label: str, *, owner: str = "") -> bool:
+    if isinstance(value, bool):
+        return value
+    raise UserError(f"{owner}「{label}」の値が不正です。", field=label)
+
+
+def _choice(value: Any, label: str, choices: tuple[str, ...], *, owner: str = "") -> str:
+    if not isinstance(value, str) or value not in choices:
+        raise UserError(f"{owner}「{label}」の値が不正です。", field=label)
+    return value
+
+
+def _merge(defaults: dict, given: Any) -> dict:
+    """given の値で defaults を再帰的に上書きする（欠けているキーは既定値）。given が dict でなければ既定値。"""
+    out = copy.deepcopy(defaults)
+    if not isinstance(given, dict):
+        return out
+    for key, value in given.items():
+        if key in out and isinstance(out[key], dict):
+            out[key] = _merge(out[key], value)
+        else:
+            out[key] = value
+    return out
+
+
+def _check_version(raw: dict) -> None:
+    version = raw.get("version", SCHEMA_VERSION)
+    if isinstance(version, bool) or version != SCHEMA_VERSION:
+        raise UserError(f"設定のバージョン（{version}）に対応していません。ページを再読み込みしてください。", field="version")
+
+
+# ---------------------------------------------------------------- parsing
+
+
+def parse_load_settings(raw: dict | None) -> LoadSettings:
+    """読み込み設定だけを検証する（描画設定の不備でファイル読込を止めないため）。"""
+    raw = raw if isinstance(raw, dict) else {}
+    _check_version(raw)
+    load = _merge(default_settings()["load"], raw.get("load"))
+    return LoadSettings(
+        delimiter=_string(load["delimiter"], "区切り文字"),
+        has_header=_boolean(load["hasHeader"], "先頭行をヘッダとして扱う"),
+    )
+
+
+def _parse_axis(raw: dict, key: str, name: str) -> AxisSettings:
+    axis = raw[key]
+    lo = _number(axis["min"], f"{name}軸の最小値", default=None)
+    hi = _number(axis["max"], f"{name}軸の最大値", default=None)
+    scale = _choice(axis["scale"], f"{name}軸スケール", SCALES)
+    return AxisSettings(label=_string(axis["label"], f"{name}軸ラベル").strip(), scale=scale, min=lo, max=hi)
+
+
+def _check_axis_range(axis: AxisSettings, name: str) -> None:
+    if axis.min is not None and axis.max is not None and axis.min >= axis.max:
+        raise UserError(f"{name}軸の範囲は最小値 < 最大値で指定してください。", field=f"{name}軸の範囲")
+    if axis.scale == "log" and ((axis.min is not None and axis.min <= 0) or (axis.max is not None and axis.max <= 0)):
+        raise UserError(f"{name}軸を対数にする場合、範囲は0より大きい値で指定してください。", field=f"{name}軸の範囲")
+
+
+def _parse_series(raw_series: Any) -> tuple[SeriesSettings, ...]:
+    if not isinstance(raw_series, list) or not raw_series:
+        raise UserError("描画系列を1つ以上追加してください。", field="描画系列")
+    out = []
+    used_ids: set[str] = set()
+    for i, given in enumerate(raw_series):
+        n = i + 1
+        owner = f"系列{n}の"
+        s = _merge(_DEFAULT_SERIES, given)
+        sid = s["id"] if isinstance(s["id"], str) and s["id"] and s["id"] not in used_ids else f"s{n}"
+        while sid in used_ids:
+            sid += "_"
+        used_ids.add(sid)
+        color = _string(s["color"], "色", owner=owner).strip() or _DEFAULT_SERIES["color"]
+        if not is_color_like(color):
+            raise UserError(f"{owner}「色」が不正です。", field="色")
+        line_width = _number(s["lineWidth"], "線幅", default=2.0, exclusive_min=0, owner=owner)
+        marker = _number(s["markerSize"], "点サイズ", default=None, minimum=0, owner=owner)
+        out.append(
+            SeriesSettings(
+                id=sid,
+                x=_string(s["x"], "X列", owner=owner).strip(),
+                y=_string(s["y"], "Y列", owner=owner).strip(),
+                color=color,
+                line_width=line_width,
+                line_style=_choice(s["lineStyle"], "線種", LINE_STYLES, owner=owner),
+                marker_size=marker,
+                label=_string(s["label"], "凡例名", owner=owner).strip(),
+                secondary_axis=_boolean(s["secondaryAxis"], "第2軸を使用", owner=owner),
+            )
+        )
+    return tuple(out)
+
+
+def parse_settings(raw: dict | None) -> Settings:
+    """設定 dict を検証し、型付きの Settings にする。欠けているキーは既定値で補う。
+
+    不正な値は UserError（日本語・項目名つき）。
+    """
+    raw = raw if isinstance(raw, dict) else {}
+    _check_version(raw)
+    d = default_settings()
+    merged = {
+        "load": _merge(d["load"], raw.get("load")),
+        "plot": _merge(d["plot"], raw.get("plot")),
+        "axes": _merge(d["axes"], raw.get("axes")),
+        "save": _merge(d["save"], raw.get("save")),
+    }
+    load = parse_load_settings(raw)
+
+    p = merged["plot"]
+    fig = p["figure"] if isinstance(p["figure"], dict) else {}
+    figure = FigureSettings(
+        width=_number(fig.get("width"), "図幅", default=8.0, exclusive_min=0),
+        height=_number(fig.get("height"), "図高さ", default=6.0, exclusive_min=0),
+    )
+    legend = p["legend"] if isinstance(p["legend"], dict) else {}
+    grid = p["grid"] if isinstance(p["grid"], dict) else {}
+    m = p["margins"] if isinstance(p["margins"], dict) else {}
+    margin_labels = (("left", "余白 左(left)"), ("right", "余白 右(right)"), ("bottom", "余白 下(bottom)"), ("top", "余白 上(top)"))
+    margin_values = {}
+    for key, label in margin_labels:
+        value = _number(m.get(key), label, default=None)
+        if value is not None and not 0 <= value <= 1:
+            raise UserError(f"「{label}」は0〜1の数値で入力してください。", field=label)
+        margin_values[key] = value
+    margins = MarginSettings(**margin_values)
+    if margins.left is not None and margins.right is not None and margins.left >= margins.right:
+        raise UserError("余白は left < right になるように指定してください。", field="余白")
+    if margins.bottom is not None and margins.top is not None and margins.bottom >= margins.top:
+        raise UserError("余白は bottom < top になるように指定してください。", field="余白")
+
+    plot = PlotSettings(
+        type=_choice(p["type"], "プロット種別", PLOT_TYPES),
+        skip_rows=_integer(p["skipRows"], "除外する先頭行数", default=0, minimum=0),
+        x_column=_string(p["xColumn"], "X列").strip(),
+        title=_string(p["title"], "タイトル").strip(),
+        font_size=_number(p["fontSize"], "フォントサイズ", default=15.0, exclusive_min=0),
+        figure=figure,
+        legend_location=_choice(legend.get("location", "best"), "凡例位置", LEGEND_LOCATIONS),
+        grid_major=_boolean(grid.get("major", False), "主目盛線を表示"),
+        grid_minor=_boolean(grid.get("minor", False), "副目盛線を表示"),
+        margins=margins,
+    )
+
+    ax = merged["axes"]
+    axes = AxesSettings(
+        x=_parse_axis(ax, "x", "X"),
+        y=_parse_axis(ax, "y", "Y"),
+        y2=_parse_axis(ax, "y2", "第2Y"),
+    )
+    series = _parse_series(raw.get("series", d["series"]))
+    _check_axis_range(axes.x, "X")
+    _check_axis_range(axes.y, "Y")
+    if any(s.secondary_axis for s in series):
+        _check_axis_range(axes.y2, "第2Y")
+
+    sv = merged["save"]
+    save = SaveSettings(
+        filename=_string(sv["filename"], "保存ファイル名").strip(),
+        format=_choice(str(sv["format"]).strip().lower() if isinstance(sv["format"], str) else sv["format"], "保存形式", SAVE_FORMATS),
+        transparent=_boolean(sv["transparent"], "背景を透過して保存"),
+    )
+    return Settings(version=SCHEMA_VERSION, load=load, plot=plot, axes=axes, series=series, save=save)
+
+
+# ---------------------------------------------------------------- legacy (custom-code tab)
+
+
+def series_to_legacy(settings: Settings) -> list[dict]:
+    """系列設定を従来の snake_case dict のリストにする（旧 _collect_series_settings と同形）。"""
+    return [
+        {
+            "y_request": s.y,
+            "x_request": s.x,
+            "color": s.color,
+            "line_width": s.line_width,
+            "line_style": s.line_style,
+            "marker_size": s.effective_marker_size(settings.plot.type),
+            "legend_name": s.label,
+            "use_secondary_axis": s.secondary_axis,
+        }
+        for s in settings.series
+    ]
+
+
+def to_legacy_dict(settings: Settings) -> dict:
+    """Pythonコード(beta)タブに渡す従来形式の settings dict（キーは従来と同じ）。"""
+    p, a = settings.plot, settings.axes
+    m = p.margins
+    return {
+        "skip_rows": p.skip_rows,
+        "plot_type": p.type,
+        "title": p.title,
+        "x_label": a.x.label,
+        "y_label": a.y.label,
+        "y2_label": a.y2.label,
+        "x_scale": a.x.scale,
+        "y_scale": a.y.scale,
+        "y2_scale": a.y2.scale,
+        "x_min": a.x.min,
+        "x_max": a.x.max,
+        "y_min": a.y.min,
+        "y_max": a.y.max,
+        "y2_min": a.y2.min,
+        "y2_max": a.y2.max,
+        "show_major_grid": p.grid_major,
+        "show_minor_grid": p.grid_minor,
+        "legend_location": p.legend_location,
+        "font_size": p.font_size,
+        "fig_width": p.figure.width,
+        "fig_height": p.figure.height,
+        "subplot_margins": {"left": m.left, "right": m.right, "bottom": m.bottom, "top": m.top},
+        "subplot_left": m.left,
+        "subplot_right": m.right,
+        "subplot_bottom": m.bottom,
+        "subplot_top": m.top,
+        "x_column_request": p.x_column,
+        "series_settings": series_to_legacy(settings),
+        "series_settings_error": "",
+    }
diff --git a/pyscript.toml b/pyscript.toml
index 55ea780..ccfb65a 100644
--- a/pyscript.toml
+++ b/pyscript.toml
@@ -5,6 +5,10 @@ packages = ["pandas", "matplotlib", "openpyxl==3.1.5", "et_xmlfile==2.0.0"]
 # キーは取得元（ページからの相対パス）、値は配置先。
 [files]
 "./py/mplgui/__init__.py" = "./mplgui/__init__.py"
+"./py/mplgui/api.py" = "./mplgui/api.py"
+"./py/mplgui/errors.py" = "./mplgui/errors.py"
+"./py/mplgui/settings.py" = "./mplgui/settings.py"
 "./py/mplgui/loader.py" = "./mplgui/loader.py"
+"./py/mplgui/plotting.py" = "./mplgui/plotting.py"
 "./py/mplgui/runner.py" = "./mplgui/runner.py"
 "./py/mplgui/fonts.py" = "./mplgui/fonts.py"
diff --git a/tests/e2e/helpers.py b/tests/e2e/helpers.py
index 936ef49..6d56e49 100644
--- a/tests/e2e/helpers.py
+++ b/tests/e2e/helpers.py
@@ -1,18 +1,25 @@
 """アプリ固有の待機・操作ロジックはすべてここに置く（要素は id のみで選ぶ）。
 
-使用する信号（現行 index.html）:
-- アプリ準備完了: PyScript の初期化末尾で Python が `window.requestRender` /
-  `window.requestLoadColumns` を登録する。`typeof window.requestRender === 'function'`
-  を「Python準備完了」とする。
-- データ読込完了: `window.__matplotDataReady === true`（読込開始時に false、完了時に true）。
-- プロット更新: `#plotArea img` の src（PNG data URI）が変化したこと。
-  描画のたびに innerHTML ごと置き換えられる。
+使用する信号（<html> の data 属性。js/bridge.js が更新する）:
+- data-app-state: "starting" → "ready"（Python 起動完了）
+- data-data-state: "none" | "loading" | "ready" | "error"（データ読込）
+- data-render-state: "idle" | "pending"（デバウンス待ち）| "rendering"
+- data-render-generation: 最新の描画要求の世代番号。表示中の `#plotArea img` は data-generation を持つ。
+- `#status` の data-kind: "" | "ok" | "error"
 """
 import time
 
-READY_JS = "typeof window.requestRender === 'function' && typeof window.requestLoadColumns === 'function'"
-DATA_READY_JS = "window.__matplotDataReady === true"
+READY_JS = "document.documentElement.dataset.appState === 'ready'"
+DATA_READY_JS = "document.documentElement.dataset.dataState === 'ready'"
 PLOT_SRC_JS = "(document.querySelector('#plotArea img') || {}).src || ''"
+# 描画要求が残っておらず、表示中の画像が最新の要求のものになっている
+SETTLED_JS = """() => {
+  const d = document.documentElement.dataset;
+  const img = document.querySelector('#plotArea img');
+  return d.renderState === 'idle' && d.dataState !== 'loading'
+    && (!d.renderGeneration || (img && img.dataset.generation === d.renderGeneration)
+        || document.getElementById('status').dataset.kind === 'error');
+}"""
 
 
 class ConsoleCollector:
@@ -67,6 +74,19 @@ def wait_plot_changed(page, previous_src, timeout=120_000):
     return plot_src(page)
 
 
+def wait_settled(page, timeout=120_000):
+    """読込・描画が一段落するまで待つ（エラー終了を含む）。"""
+    page.wait_for_function(SETTLED_JS, timeout=timeout)
+
+
+def status_text(page) -> str:
+    return page.inner_text("#status")
+
+
+def status_kind(page) -> str:
+    return page.get_attribute("#status", "data-kind") or ""
+
+
 def set_title(page, text):
     page.fill("#title", text)  # input イベントで250msデバウンス後に再描画
 
diff --git a/tests/unit/conftest.py b/tests/unit/conftest.py
new file mode 100644
index 0000000..7114122
--- /dev/null
+++ b/tests/unit/conftest.py
@@ -0,0 +1,30 @@
+import matplotlib
+
+matplotlib.use("Agg")  # ブラウザ版と同じバックエンド。import 時点で固定する
+
+import warnings  # noqa: E402
+
+import pytest  # noqa: E402
+
+FIXTURES_NAME = "fixtures"
+
+
+@pytest.fixture(autouse=True)
+def _quiet_glyph_warnings():
+    # 開発環境には日本語フォントが無いことがあるので、グリフ不足の警告は無視する
+    with warnings.catch_warnings():
+        warnings.filterwarnings("ignore", message=".*missing from font.*", category=UserWarning)
+        warnings.filterwarnings("ignore", message=".*missing from current font.*", category=UserWarning)
+        yield
+
+
+@pytest.fixture(autouse=True)
+def _no_leaked_figures():
+    import matplotlib.pyplot as plt
+
+    before = set(plt.get_fignums())
+    yield
+    leaked = set(plt.get_fignums()) - before
+    for num in leaked:
+        plt.close(num)
+    assert not leaked, f"閉じられていない Figure が残っている: {sorted(leaked)}"
diff --git a/tests/unit/test_api.py b/tests/unit/test_api.py
new file mode 100644
index 0000000..4d69a3a
--- /dev/null
+++ b/tests/unit/test_api.py
@@ -0,0 +1,98 @@
+import json
+from pathlib import Path
+
+import pytest
+
+from mplgui import api
+from mplgui.settings import default_settings
+
+pytestmark = pytest.mark.unit
+
+FIXTURES = Path(__file__).resolve().parents[1] / "fixtures"
+
+
+@pytest.fixture(autouse=True)
+def fresh_session():
+    api.SESSION.df = None
+    yield
+    api.SESSION.df = None
+
+
+def load(name="utf8.csv", settings=None):
+    s = settings or default_settings()
+    return json.loads(api.load_file_json(name, (FIXTURES / name).read_bytes(), json.dumps(s)))
+
+
+def test_load_file_response_shape():
+    r = load()
+    assert r["ok"] is True and r["encoding"] == "utf-8" and r["warnings"] == []
+    assert r["columns"][0] == {"value": "__idx__0", "label": "時間 [0]"}
+    assert r["preview"]["totalRows"] == 30
+
+
+def test_render_before_load_is_user_error():
+    r = json.loads(api.render_json(json.dumps(default_settings())))
+    assert r["ok"] is False and "ファイルを読み込んで" in r["error"]["message"]
+
+
+def test_render_response_shape():
+    load()
+    r = json.loads(api.render_json(json.dumps(default_settings())))
+    assert r["ok"] is True and r["image"].startswith("data:image/png;base64,")
+    assert r["seriesCount"] == 1 and r["skipRows"] == 0 and r["warnings"] == []
+
+
+def test_render_validation_error_is_field_specific():
+    load()
+    s = default_settings()
+    s["plot"]["fontSize"] = "x"
+    r = json.loads(api.render_json(json.dumps(s)))
+    assert r["ok"] is False and "フォントサイズ" in r["error"]["message"] and r["error"]["field"] == "フォントサイズ"
+    assert "detail" not in r["error"]
+
+
+def test_bad_json_is_user_error():
+    r = json.loads(api.render_json("{not json"))
+    assert r["ok"] is False and not r["error"]["message"].isascii()
+
+
+def test_internal_error_has_short_message_and_traceback(monkeypatch):
+    load()
+
+    def boom(*a, **k):
+        raise RuntimeError("kaboom")
+
+    monkeypatch.setattr(api, "make_figure", boom)
+    r = json.loads(api.render_json(json.dumps(default_settings())))
+    assert r["ok"] is False and r["error"]["message"] == api.INTERNAL_ERROR_MESSAGE
+    assert "RuntimeError" in r["error"]["detail"] and "kaboom" in r["error"]["detail"] and "Traceback" in r["error"]["detail"]
+
+
+def test_load_failure_discards_previous_data():
+    load()
+    bad = json.loads(api.load_file_json("x.pdf", b"x", json.dumps(default_settings())))
+    assert bad["ok"] is False and api.SESSION.df is None
+
+
+def test_save_response():
+    load()
+    s = default_settings()
+    s["save"].update(filename="結果.csv", format="svg")
+    r = json.loads(api.save_json(json.dumps(s)))
+    assert r["ok"] and r["filename"] == "結果.svg" and r["mime"] == "image/svg+xml"
+    assert r["dataUri"].startswith("data:image/svg+xml;base64,")
+    s["save"].update(format="jpg", transparent=True)
+    r = json.loads(api.save_json(json.dumps(s)))
+    assert r["ok"] is False and "背景透過" in r["error"]["message"]
+
+
+def test_render_with_custom_code():
+    load()
+    r = json.loads(api.render_json(json.dumps(default_settings()), api.default_custom_code()))
+    assert r["ok"] is True
+    r = json.loads(api.render_json(json.dumps(default_settings()), "raise ValueError('x')"))
+    assert r["ok"] is False and "カスタムコード" in r["error"]["message"]
+
+
+def test_font_status_before_register():
+    assert json.loads(api.font_status())["ok"] is True
diff --git a/tests/unit/test_defaults_parity.py b/tests/unit/test_defaults_parity.py
new file mode 100644
index 0000000..fcfc227
--- /dev/null
+++ b/tests/unit/test_defaults_parity.py
@@ -0,0 +1,32 @@
+"""js/defaults.js の DEFAULT_SETTINGS と mplgui.settings.default_settings() が一致すること（node が無ければ skip）。"""
+import json
+import shutil
+import subprocess
+from pathlib import Path
+
+import pytest
+
+from mplgui.settings import default_settings
+
+pytestmark = pytest.mark.unit
+
+REPO = Path(__file__).resolve().parents[2]
+
+
+@pytest.mark.skipif(shutil.which("node") is None, reason="node が無い")
+def test_js_and_python_defaults_match(tmp_path):
+    module = tmp_path / "defaults.mjs"
+    module.write_text((REPO / "js" / "defaults.js").read_text(encoding="utf-8"), encoding="utf-8")
+    script = f"import {{ DEFAULT_SETTINGS }} from {json.dumps(module.as_uri())}; console.log(JSON.stringify(DEFAULT_SETTINGS));"
+    out = subprocess.run(["node", "--input-type=module", "-e", script], capture_output=True, text=True, check=True, timeout=30)
+    assert json.loads(out.stdout) == default_settings()
+
+
+@pytest.mark.skipif(shutil.which("node") is None, reason="node が無い")
+def test_js_palette_has_default_series_color(tmp_path):
+    module = tmp_path / "defaults.mjs"
+    module.write_text((REPO / "js" / "defaults.js").read_text(encoding="utf-8"), encoding="utf-8")
+    script = f"import {{ PALETTE, DEFAULT_SERIES }} from {json.dumps(module.as_uri())}; console.log(JSON.stringify([PALETTE, DEFAULT_SERIES.color]));"
+    out = subprocess.run(["node", "--input-type=module", "-e", script], capture_output=True, text=True, check=True, timeout=30)
+    palette, color = json.loads(out.stdout)
+    assert len(palette) == 11 and palette[0] == color == default_settings()["series"][0]["color"]
diff --git a/tests/unit/test_loader.py b/tests/unit/test_loader.py
new file mode 100644
index 0000000..a1eed94
--- /dev/null
+++ b/tests/unit/test_loader.py
@@ -0,0 +1,115 @@
+from pathlib import Path
+
+import pytest
+
+from mplgui.errors import UserError
+from mplgui.loader import build_preview, column_options, decode_delimiter, load_dataframe, load_file
+
+pytestmark = pytest.mark.unit
+
+FIXTURES = Path(__file__).resolve().parents[1] / "fixtures"
+
+
+def _load(name, delimiter="", has_header=True):
+    return load_file((FIXTURES / name).read_bytes(), name, delimiter, has_header)
+
+
+def test_decode_delimiter():
+    assert decode_delimiter("", ".csv") == ","
+    assert decode_delimiter("", ".txt") == r"\s+"
+    assert decode_delimiter(r"\t", ".txt") == "\t"
+    assert decode_delimiter(";", ".csv") == ";"
+
+
+def test_utf8_csv():
+    loaded = _load("utf8.csv")
+    assert list(loaded.df.columns) == ["時間", "電圧", "電流"]
+    assert loaded.encoding == "utf-8" and len(loaded.df) == 30
+
+
+def test_utf8_bom_csv_loads():
+    # BOM が列名に残らない対応は A5（Step 5）。ここでは読めて列数が正しいことだけ確認する
+    loaded = _load("utf8_bom.csv")
+    assert loaded.df.shape == (30, 3)
+
+
+def test_cp932_fixture_is_not_supported_by_current_logic():
+    # 現行の文字コード判定（utf-8 → shift_jis）では機種依存文字を含む cp932 は読めない。A5 で対応する
+    with pytest.raises(UserError) as info:
+        _load("cp932.csv")
+    assert "文字コード" in info.value.message
+
+
+def test_tab_txt_whitespace_auto():
+    loaded = _load("tab.txt")
+    assert list(loaded.df.columns) == ["時間", "電圧", "電流"]
+
+
+def test_tab_txt_explicit_delimiter():
+    loaded = _load("tab.txt", delimiter=r"\t")
+    assert loaded.df.shape == (30, 3)
+
+
+def test_xlsx_first_sheet():
+    loaded = _load("multi_sheet.xlsx")
+    assert list(loaded.df.columns) == ["時間", "電圧", "電流"]
+    assert loaded.encoding is None
+
+
+def test_duplicate_columns_are_distinguishable_by_index():
+    df = _load("duplicate_columns.csv").df
+    opts = column_options(df)
+    assert [o["value"] for o in opts] == ["__idx__0", "__idx__1", "__idx__2"]
+    assert len({o["label"] for o in opts}) == 3
+    assert opts[0]["label"].endswith("[0]") and opts[1]["label"].endswith("[1]")
+    assert not df.iloc[:, 0].equals(df.iloc[:, 1])
+
+
+def test_no_header_names_columns():
+    loaded = _load("utf8.csv", has_header=False)
+    assert list(loaded.df.columns) == ["column_0", "column_1", "column_2"]
+    assert len(loaded.df) == 31
+
+
+def test_non_numeric_fixture_loads_as_text_columns():
+    df = _load("non_numeric.csv").df
+    import pandas as pd
+
+    assert not pd.api.types.is_numeric_dtype(df["金額"]) and not pd.api.types.is_numeric_dtype(df["単位付き"])
+
+
+def test_preview_payload_shape():
+    df = _load("utf8.csv").df
+    p = build_preview(df)
+    assert set(p) == {"columns", "rows", "totalRows", "totalColumns", "limit", "truncated"}
+    assert p["columns"] == ["時間", "電圧", "電流"]
+    assert p["totalRows"] == 30 and p["totalColumns"] == 3 and p["truncated"] is False
+    assert len(p["rows"]) == 30 and all(len(r) == 3 for r in p["rows"])
+    assert all(isinstance(c, str) for r in p["rows"] for c in r)
+    assert p["rows"][1] == ["0.1", "0.1987", "1.4777"]
+
+
+def test_preview_is_truncated_to_100_rows():
+    import pandas as pd
+
+    p = build_preview(pd.DataFrame({"a": range(250), "b": range(250)}))
+    assert len(p["rows"]) == 100 and p["truncated"] is True and p["totalRows"] == 250 and p["limit"] == 100
+
+
+def test_nan_cells_in_preview():
+    p = build_preview(_load("non_numeric.csv").df)
+    assert any("NaN" in row for row in p["rows"])
+
+
+@pytest.mark.parametrize(
+    "name, data",
+    [("a.pdf", b"x"), ("empty.csv", b""), ("onlyheader.csv", b"a,b\n")],
+)
+def test_errors_are_user_errors_in_japanese(name, data):
+    with pytest.raises(UserError) as info:
+        load_file(data, name, "", True)
+    assert not info.value.message.isascii()
+
+
+def test_load_dataframe_wrapper():
+    assert not load_dataframe((FIXTURES / "utf8.csv").read_bytes(), "utf8.csv", "", True).empty
diff --git a/tests/unit/test_mplgui_modules.py b/tests/unit/test_mplgui_modules.py
index b9ef919..98b7963 100644
--- a/tests/unit/test_mplgui_modules.py
+++ b/tests/unit/test_mplgui_modules.py
@@ -1,16 +1,14 @@
-"""mplgui の各モジュールが js / pyodide / pyscript に依存せず CPython で import でき、基本動作することを確認する。"""
+"""mplgui の各モジュールが js / pyodide / pyscript に依存せず CPython で import できること。"""
 import ast
+import importlib
 from pathlib import Path
 
 import pytest
 
-from mplgui.loader import decode_delimiter, load_dataframe
-from mplgui.runner import build_filename, figure_to_data_uri
-
 pytestmark = pytest.mark.unit
 
-FIXTURES = Path(__file__).resolve().parents[1] / "fixtures"
 PKG = Path(__file__).resolve().parents[2] / "py" / "mplgui"
+FORBIDDEN = {"js", "pyodide", "pyscript"}
 
 
 def test_no_browser_imports():
@@ -23,30 +21,15 @@ def test_no_browser_imports():
             elif isinstance(node, ast.ImportFrom):
                 names = [node.module or ""]
             for n in names:
-                assert n.split(".")[0] not in {"js", "pyodide", "pyscript"}, f"{path.name} imports {n}"
-
-
-def test_load_csv_and_delimiter():
-    df = load_dataframe((FIXTURES / "utf8.csv").read_bytes(), "utf8.csv", "", True)
-    assert not df.empty
-    assert decode_delimiter("", ".csv") == ","
-    assert decode_delimiter(r"\t", ".txt") == "\t"
-
-
-def test_build_filename():
-    assert build_filename("", "png") == "plot.png"
-    assert build_filename("fig.1.svg", "pdf") == "fig.1.pdf"
-    assert build_filename("name.", "jpg") == "name.jpg"
+                assert n.split(".")[0] not in FORBIDDEN, f"{path.name} imports {n}"
 
 
-def test_figure_to_data_uri_png():
-    import matplotlib
+def test_every_module_imports_on_cpython():
+    for path in sorted(PKG.glob("*.py")):
+        if path.name != "__init__.py":
+            importlib.import_module(f"mplgui.{path.stem}")
 
-    matplotlib.use("Agg")
-    import matplotlib.pyplot as plt
 
-    fig, ax = plt.subplots()
-    ax.plot([0, 1], [0, 1])
-    uri, ext = figure_to_data_uri(fig, "png")
-    plt.close(fig)
-    assert uri.startswith("data:image/png;base64,") and ext == "png"
+def test_main_py_does_not_touch_the_dom():
+    text = (PKG.parent / "main.py").read_text(encoding="utf-8")
+    assert "document" not in text and "getElementById" not in text
diff --git a/tests/unit/test_pages_publish.py b/tests/unit/test_pages_publish.py
index 511a1ba..6939d50 100644
--- a/tests/unit/test_pages_publish.py
+++ b/tests/unit/test_pages_publish.py
@@ -110,3 +110,17 @@ def test_publish_rules_sanity(jekyll_config):
     assert _is_published("py/mplgui/__init__.py", jekyll_config)
     assert not _is_published("py/mplgui/__init__.py", {})  # include が無ければ Jekyll は配信しない
     assert not _is_published("_hidden/a.js", jekyll_config)
+
+
+def test_all_js_files_are_published_and_imports_resolve(jekyll_config):
+    import re
+
+    js_files = sorted((REPO / "js").rglob("*.js"))
+    assert js_files
+    for path in js_files:
+        rel = path.relative_to(REPO).as_posix()
+        _assert_published(rel, jekyll_config, "js/")
+        for spec in re.findall(r"""(?:import|from)\s+["'](\.{1,2}/[^"']+)["']""", path.read_text(encoding="utf-8")):
+            target = (path.parent / spec).resolve()
+            assert target.is_file(), f"{rel}: import {spec} が解決できない"
+            _assert_published(target.relative_to(REPO).as_posix(), jekyll_config, f"{rel} import")
diff --git a/tests/unit/test_plotting.py b/tests/unit/test_plotting.py
new file mode 100644
index 0000000..3c22375
--- /dev/null
+++ b/tests/unit/test_plotting.py
@@ -0,0 +1,323 @@
+import matplotlib.pyplot as plt
+import numpy as np
+import pandas as pd
+import pytest
+from matplotlib.collections import PathCollection
+from matplotlib.patches import Rectangle
+
+from mplgui.errors import UserError
+from mplgui.plotting import create_figure, get_per_series_xy_data, get_plot_data, resolve_series_requests
+from mplgui.settings import default_settings, parse_settings, series_to_legacy
+
+pytestmark = pytest.mark.unit
+
+
+@pytest.fixture
+def df():
+    t = np.arange(20, dtype=float)
+    return pd.DataFrame({"t": t, "a": np.sin(t), "b": t * 2.0, "name": [f"n{i}" for i in range(20)]})
+
+
+def settings_with(mutator=None, series=None):
+    raw = default_settings()
+    if series is not None:
+        raw["series"] = series
+    if mutator:
+        mutator(raw)
+    return parse_settings(raw)
+
+
+def build(df, mutator=None, series=None):
+    result = create_figure(df, settings_with(mutator, series))
+    return result
+
+
+def close(result):
+    plt.close(result.fig)
+
+
+def lines(ax):
+    return [ln for ln in ax.get_lines()]
+
+
+def bars(ax):
+    return [p for p in ax.patches if isinstance(p, Rectangle)]
+
+
+def test_line_two_series():
+    r = build(
+        pd.DataFrame({"t": range(10), "a": range(10), "b": range(10, 20)}),
+        series=[{"x": "__idx__0", "y": "__idx__1", "color": "#005AFF"}, {"x": "__idx__0", "y": "__idx__2", "color": "#03AF7A"}],
+    )
+    try:
+        ax = r.fig.axes[0]
+        assert len(r.fig.axes) == 1 and len(lines(ax)) == 2 and r.plotted_count == 2
+        assert lines(ax)[0].get_color().lower() == "#005aff" and lines(ax)[0].get_linewidth() == 2
+        assert lines(ax)[0].get_marker() in ("", "None", None)  # 点サイズ自動(line)=0 は点なし
+        assert not ax.collections
+    finally:
+        close(r)
+
+
+def test_line_marker_shown_when_size_positive():
+    r = build(pd.DataFrame({"a": [1.0, 2.0, 3.0]}), series=[{"markerSize": 9}])
+    try:
+        ln = lines(r.fig.axes[0])[0]
+        assert ln.get_marker() == "o" and ln.get_markersize() == pytest.approx(3.0)
+    finally:
+        close(r)
+
+
+def test_line_style_and_width():
+    r = build(pd.DataFrame({"a": [1.0, 2.0, 3.0]}), series=[{"lineStyle": "dashed", "lineWidth": 3.5}])
+    try:
+        ln = lines(r.fig.axes[0])[0]
+        assert ln.get_linestyle() == "--" and ln.get_linewidth() == 3.5
+    finally:
+        close(r)
+
+
+def test_scatter_creates_path_collections():
+    r = build(
+        pd.DataFrame({"x": range(5), "a": range(5), "b": range(5)}),
+        mutator=lambda s: s["plot"].__setitem__("type", "scatter"),
+        series=[{"x": "__idx__0", "y": "__idx__1"}, {"x": "__idx__0", "y": "__idx__2", "markerSize": 50}],
+    )
+    try:
+        ax = r.fig.axes[0]
+        cols = [c for c in ax.collections if isinstance(c, PathCollection)]
+        assert len(cols) == 2 and not lines(ax)
+        assert cols[0].get_sizes()[0] == 24  # 自動 → scatter の既定 24
+        assert cols[1].get_sizes()[0] == 50
+    finally:
+        close(r)
+
+
+def test_scatter_size_zero_is_corrected_to_24():
+    r = build(
+        pd.DataFrame({"a": [1.0, 2.0]}),
+        mutator=lambda s: s["plot"].__setitem__("type", "scatter"),
+        series=[{"markerSize": 0}],
+    )
+    try:
+        assert r.fig.axes[0].collections[0].get_sizes()[0] == 24
+    finally:
+        close(r)
+
+
+def test_bar_single_series_uses_x_column(df):
+    r = build(
+        df.head(6),
+        mutator=lambda s: s["plot"].update(type="bar", xColumn="__idx__0"),
+        series=[{"y": "__idx__1"}],
+    )
+    try:
+        assert len(bars(r.fig.axes[0])) == 6
+    finally:
+        close(r)
+
+
+def test_bar_multiple_series_grouped(df):
+    r = build(
+        df.head(5),
+        mutator=lambda s: s["plot"].update(type="bar"),
+        series=[{"y": "__idx__1"}, {"y": "__idx__2"}],
+    )
+    try:
+        ax = r.fig.axes[0]
+        assert len(bars(ax)) == 10 and r.plotted_count == 2
+        assert set(range(5)) <= set(ax.get_xticks())
+    finally:
+        close(r)
+
+
+def test_secondary_axis_uses_twinx():
+    d = pd.DataFrame({"x": range(10), "a": range(10), "b": [v * 100 for v in range(10)]})
+    r = build(
+        d,
+        series=[{"x": "__idx__0", "y": "__idx__1"}, {"x": "__idx__0", "y": "__idx__2", "secondaryAxis": True}],
+        mutator=lambda s: s["axes"]["y2"].update(label="右軸"),
+    )
+    try:
+        assert len(r.fig.axes) == 2
+        ax, ax2 = r.fig.axes
+        assert len(lines(ax)) == 1 and len(lines(ax2)) == 1
+        assert ax2.get_ylabel() == "右軸"
+        assert ax2.get_shared_x_axes().joined(ax, ax2)
+        # 凡例は両軸のハンドルを統合する
+        assert [t.get_text() for t in ax.get_legend().get_texts()] == ["a [1]", "b [2]"]
+        # ヒゲ: 主軸は下・左、第2軸は右のみ
+        assert ax2.yaxis.get_ticks_position() in ("right", "default") and ax.xaxis.get_ticks_position() == "bottom"
+    finally:
+        close(r)
+
+
+def test_no_second_axis_without_secondary_series(df):
+    r = build(df, series=[{"y": "__idx__1"}])
+    try:
+        assert len(r.fig.axes) == 1
+    finally:
+        close(r)
+
+
+@pytest.mark.parametrize("loc, expect_legend", [("best", True), ("upper left", True), ("none", False)])
+def test_legend_presence(df, loc, expect_legend):
+    r = build(df, mutator=lambda s: s["plot"]["legend"].__setitem__("location", loc), series=[{"y": "__idx__1"}])
+    try:
+        legend = r.fig.axes[0].get_legend()
+        assert (legend is not None) is expect_legend
+        if expect_legend:
+            assert [t.get_text() for t in legend.get_texts()] == ["a [1]"]
+    finally:
+        close(r)
+
+
+def test_legend_custom_label(df):
+    r = build(df, series=[{"y": "__idx__1", "label": "電圧"}])
+    try:
+        assert [t.get_text() for t in r.fig.axes[0].get_legend().get_texts()] == ["電圧"]
+    finally:
+        close(r)
+
+
+def test_grid_flags(df):
+    def grids(ax):
+        return (
+            any(ln.get_visible() for ln in ax.get_xgridlines()),
+            any(ln.get_visible() for ln in ax.get_ygridlines()),
+        )
+
+    r = build(df, mutator=lambda s: s["plot"]["grid"].update(major=True))
+    try:
+        assert grids(r.fig.axes[0]) == (True, True)
+    finally:
+        close(r)
+    r = build(df)
+    try:
+        assert grids(r.fig.axes[0]) == (False, False)
+    finally:
+        close(r)
+    r = build(df, mutator=lambda s: s["plot"]["grid"].update(minor=True))
+    try:
+        ax = r.fig.axes[0]
+        assert ax.xaxis.get_minor_ticks()[0].gridline.get_visible()
+        assert not any(ln.get_visible() for ln in ax.get_xgridlines())  # 主目盛線は出さない
+    finally:
+        close(r)
+
+
+def test_log_scale_and_limits(df):
+    def m(s):
+        s["axes"]["y"].update(scale="log", min=0.5, max=100)
+        s["axes"]["x"].update(min=2, max=10)
+
+    r = build(df.assign(a=np.arange(1, 21)), mutator=m, series=[{"y": "__idx__1"}])
+    try:
+        ax = r.fig.axes[0]
+        assert ax.get_yscale() == "log" and ax.get_xscale() == "linear"
+        assert ax.get_ylim() == (0.5, 100) and ax.get_xlim() == (2, 10)
+    finally:
+        close(r)
+
+
+def test_figure_size_title_and_labels(df):
+    def m(s):
+        s["plot"].update(title="タイトル", fontSize=12)
+        s["plot"]["figure"].update(width=5, height=3)
+        s["axes"]["x"]["label"] = "X軸"
+        s["axes"]["y"]["label"] = "Y軸"
+
+    r = build(df, mutator=m, series=[{"y": "__idx__1"}])
+    try:
+        ax = r.fig.axes[0]
+        assert tuple(r.fig.get_size_inches()) == (5.0, 3.0)
+        assert ax.get_title() == "タイトル" and ax.title.get_fontsize() == 14
+        assert ax.get_xlabel() == "X軸" and ax.get_ylabel() == "Y軸" and ax.xaxis.label.get_fontsize() == 12
+    finally:
+        close(r)
+
+
+def test_default_labels_come_from_columns(df):
+    r = build(df, series=[{"x": "__idx__0", "y": "__idx__1"}])
+    try:
+        ax = r.fig.axes[0]
+        assert ax.get_xlabel() == "t" and ax.get_ylabel() == "a [1]"
+    finally:
+        close(r)
+
+
+def test_ticks_inward(df):
+    r = build(df)
+    try:
+        ax = r.fig.axes[0]
+        assert ax.xaxis.get_major_ticks()[0]._pad is not None
+        assert not ax.xaxis.get_major_ticks()[0].tick2line.get_visible()  # 上側のヒゲなし
+        assert not ax.yaxis.get_major_ticks()[0].tick2line.get_visible()  # 右側のヒゲなし
+    finally:
+        close(r)
+
+
+def test_margins_applied(df):
+    r = build(df, mutator=lambda s: s["plot"]["margins"].update(left=0.2, right=0.9))
+    try:
+        assert r.fig.subplotpars.left == pytest.approx(0.2) and r.fig.subplotpars.right == pytest.approx(0.9)
+    finally:
+        close(r)
+
+
+def test_skip_rows_excludes_leading_rows():
+    d = pd.DataFrame({"a": [100.0, 200.0, 1.0, 2.0, 3.0]})
+    r = build(d, mutator=lambda s: s["plot"].__setitem__("skipRows", 2))
+    try:
+        assert r.skip_rows == 2
+        assert list(lines(r.fig.axes[0])[0].get_ydata()) == [1.0, 2.0, 3.0]
+    finally:
+        close(r)
+
+
+def test_skip_rows_too_large(df):
+    with pytest.raises(UserError) as info:
+        build(df, mutator=lambda s: s["plot"].__setitem__("skipRows", 20))
+    assert "スキップ" in info.value.message
+
+
+def test_no_plottable_data_raises_and_closes_figure():
+    before = set(plt.get_fignums())
+    with pytest.raises(UserError):
+        build(pd.DataFrame({"a": ["x", "y", "z"]}), series=[{"y": "__idx__0"}])
+    assert set(plt.get_fignums()) == before  # 失敗しても Figure は残らない
+
+
+def test_column_out_of_range_is_user_error(df):
+    with pytest.raises(UserError) as info:
+        build(df, series=[{"y": "__idx__99"}])
+    assert "99" in info.value.message
+
+
+def test_duplicate_column_names_resolved_by_index():
+    d = pd.DataFrame([[1, 10, 100], [2, 20, 200], [3, 30, 300]], columns=["温度", "温度", "値"])
+    r = build(d, series=[{"y": "__idx__0"}, {"y": "__idx__1"}])
+    try:
+        ys = [list(ln.get_ydata()) for ln in lines(r.fig.axes[0])]
+        assert ys == [[1, 2, 3], [10, 20, 30]]
+    finally:
+        close(r)
+
+
+def test_auto_y_assigns_unused_numeric_columns(df):
+    r = build(df, series=[{}, {}])
+    try:
+        ys = [list(ln.get_ydata()) for ln in lines(r.fig.axes[0])]
+        assert ys[0] == list(df["t"]) and ys[1] == list(df["a"])  # 数値列を順に割り当てる
+    finally:
+        close(r)
+
+
+def test_legacy_helpers(df):
+    s = settings_with(series=[{"y": ""}, {"y": "__idx__2"}])
+    legacy = series_to_legacy(s)
+    assert resolve_series_requests(df, legacy) == ["__idx__0", "__idx__2"]
+    entries, xlabel = get_per_series_xy_data(df, legacy)
+    assert xlabel == "index" and len(entries) == 2 and entries[1]["data_label"] == "b [2]"
+    x, xl, es = get_plot_data(df, legacy, "__idx__0")
+    assert xl == "t" and len(es) == 2 and list(x) == list(df["t"])
diff --git a/tests/unit/test_runner.py b/tests/unit/test_runner.py
new file mode 100644
index 0000000..74147d8
--- /dev/null
+++ b/tests/unit/test_runner.py
@@ -0,0 +1,171 @@
+import pandas as pd
+import pytest
+
+import matplotlib.pyplot as plt
+
+from mplgui.errors import UserError
+from mplgui.runner import (
+    DEFAULT_CUSTOM_PLOT_CODE,
+    build_filename,
+    figure_to_bytes,
+    figure_to_data_uri,
+    make_figure,
+    run_custom_code,
+)
+from mplgui.settings import default_settings, parse_settings
+
+pytestmark = pytest.mark.unit
+
+
+@pytest.fixture
+def fig():
+    f, ax = plt.subplots()
+    ax.plot([0, 1, 2], [0, 1, 0])
+    yield f
+    plt.close(f)
+
+
+@pytest.fixture
+def df():
+    return pd.DataFrame({"t": [0.0, 1.0, 2.0, 3.0], "v": [1.0, 2.0, 3.0, 4.0], "w": [4.0, 3.0, 2.0, 1.0]})
+
+
+def settings(**plot):
+    raw = default_settings()
+    raw["plot"].update(plot)
+    return parse_settings(raw)
+
+
+@pytest.mark.parametrize(
+    "fmt, magic, mime, ext",
+    [
+        ("png", b"\x89PNG\r\n\x1a\n", "image/png", "png"),
+        ("jpg", b"\xff\xd8\xff", "image/jpeg", "jpg"),
+        ("svg", b"<?xml", "image/svg+xml", "svg"),
+        ("pdf", b"%PDF-", "application/pdf", "pdf"),
+    ],
+)
+def test_figure_to_bytes_magic(fig, fmt, magic, mime, ext):
+    data, got_mime, got_ext = figure_to_bytes(fig, fmt)
+    assert data.startswith(magic) and got_mime == mime and got_ext == ext
+
+
+def test_transparent_only_png_and_svg(fig):
+    for fmt in ("png", "svg"):
+        figure_to_bytes(fig, fmt, transparent=True)
+    for fmt in ("jpg", "pdf"):
+        with pytest.raises(UserError) as info:
+            figure_to_bytes(fig, fmt, transparent=True)
+        assert "背景透過" in info.value.message
+
+
+def test_transparent_png_has_alpha(fig):
+    import io
+
+    from matplotlib import image as mpimg
+
+    data, _, _ = figure_to_bytes(fig, "png", transparent=True)
+    arr = mpimg.imread(io.BytesIO(data))
+    assert arr.shape[2] == 4 and arr[0, 0, 3] == 0
+    data, _, _ = figure_to_bytes(fig, "png", transparent=False)
+    assert mpimg.imread(io.BytesIO(data))[0, 0, 3] == 1
+
+
+def test_unknown_format_is_user_error(fig):
+    with pytest.raises(UserError):
+        figure_to_bytes(fig, "gif")
+
+
+def test_data_uri(fig):
+    uri, ext = figure_to_data_uri(fig, "png", dpi=100)
+    assert uri.startswith("data:image/png;base64,") and ext == "png"
+    uri, ext = figure_to_data_uri(fig, "svg")
+    assert uri.startswith("data:image/svg+xml;base64,") and ext == "svg"
+
+
+def test_build_filename():
+    assert build_filename("", "png") == "plot.png"
+    assert build_filename(None, "png") == "plot.png"
+    assert build_filename("  ", "svg") == "plot.svg"
+    assert build_filename("fig.1.svg", "pdf") == "fig.1.pdf"
+    assert build_filename("name.", "jpg") == "name.jpg"
+    assert build_filename("結果", "png") == "結果.png"
+    assert build_filename(".png", "png") == "plot.png"
+
+
+def test_default_custom_code_runs(df):
+    r = run_custom_code(DEFAULT_CUSTOM_PLOT_CODE, df, settings())
+    try:
+        assert r.plotted_count == 1 and r.skip_rows == 0
+        assert len(r.fig.axes[0].get_lines()) == 1
+    finally:
+        plt.close(r.fig)
+
+
+def test_custom_code_namespace(df):
+    code = """
+assert set(['df','current_df','settings','ctx','series_settings','get_plot_data','get_per_series_xy_data',
+            'resolve_series_requests','plt','pd','fig','plotted_count','skip_rows']) <= set(globals()) | set(dir())
+assert list(df.columns) == ['t', 'v', 'w'] and len(df) == 2 and len(current_df) == 4 and skip_rows == 2
+assert settings['plot_type'] == 'line' and 'series_settings' in settings and settings['skip_rows'] == 2
+assert series_settings[0]['y_request'] == '' and ctx['df'] is not None and 'get_plot_data' in ctx['helpers']
+assert resolve_series_requests(df, series_settings) == ['__idx__0']
+x, label, entries = get_plot_data(df, series_settings)
+fig, ax = plt.subplots()
+ax.plot(df['t'], df['v'])
+"""
+    r = run_custom_code(code, df, settings(skipRows=2))
+    plt.close(r.fig)
+    assert r.skip_rows == 2
+
+
+def test_custom_code_gui_overrides_still_apply(df):
+    raw = default_settings()
+    raw["plot"]["title"] = "GUI題"
+    raw["axes"]["x"]["label"] = "GUI X"
+    raw["plot"]["legend"]["location"] = "none"
+    raw["axes"]["y"].update(min=0, max=10)
+    code = "fig, ax = plt.subplots()\nax.plot([1, 2], [3, 4], label='a')\nax.set_title('code')\nax.legend()\n"
+    r = run_custom_code(code, df, parse_settings(raw))
+    try:
+        ax = r.fig.axes[0]
+        assert ax.get_title() == "GUI題" and ax.get_xlabel() == "GUI X"
+        assert ax.get_legend() is None and ax.get_ylim() == (0, 10)
+    finally:
+        plt.close(r.fig)
+
+
+def test_custom_code_errors(df):
+    with pytest.raises(UserError) as info:
+        run_custom_code("   ", df, settings())
+    assert "空" in info.value.message
+    with pytest.raises(UserError) as info:
+        run_custom_code("x = 1", df, settings())
+    assert "fig" in info.value.message
+    with pytest.raises(UserError) as info:
+        run_custom_code("fig = 3", df, settings())
+    assert "Figure" in info.value.message
+    before = set(plt.get_fignums())
+    with pytest.raises(UserError) as info:
+        run_custom_code("fig, ax = plt.subplots()\nraise ValueError('boom')", df, settings())
+    assert "カスタムコードの実行に失敗しました" in info.value.message and "boom" in info.value.message
+    assert info.value.detail and "Traceback" in info.value.detail
+    assert set(plt.get_fignums()) == before  # 失敗時に作りかけの Figure を残さない
+    with pytest.raises(UserError):
+        run_custom_code("fig, ax = plt.subplots()", df, settings(skipRows=4))  # スキップ行数 >= 行数
+
+
+def test_custom_code_empty_figure_is_error(df):
+    before = set(plt.get_fignums())
+    with pytest.raises(UserError):
+        run_custom_code("fig, ax = plt.subplots()", df, settings())
+    assert set(plt.get_fignums()) == before
+
+
+def test_make_figure_dispatch(df):
+    r = make_figure(df, settings())
+    plt.close(r.fig)
+    assert r.plotted_count == 1
+    r = make_figure(df, settings(), "fig, ax = plt.subplots()\nax.plot([0,1],[0,1])")
+    plt.close(r.fig)
+    assert r.plotted_count == 1
diff --git a/tests/unit/test_settings.py b/tests/unit/test_settings.py
new file mode 100644
index 0000000..dfe1487
--- /dev/null
+++ b/tests/unit/test_settings.py
@@ -0,0 +1,215 @@
+import copy
+import json
+
+import pytest
+
+from mplgui.errors import UserError
+from mplgui.settings import (
+    SCHEMA_VERSION,
+    default_settings,
+    parse_load_settings,
+    parse_settings,
+    to_legacy_dict,
+)
+
+pytestmark = pytest.mark.unit
+
+
+def test_defaults_are_complete_and_parse():
+    d = default_settings()
+    assert d["version"] == SCHEMA_VERSION == 1
+    assert set(d) == {"version", "load", "plot", "axes", "series", "save"}
+    assert set(d["axes"]) == {"x", "y", "y2"}
+    s = parse_settings(d)
+    assert s.plot.type == "line" and s.plot.font_size == 15 and s.plot.figure.width == 8 and s.plot.figure.height == 6
+    assert s.load.has_header is True and s.load.delimiter == ""
+    assert len(s.series) == 1 and s.series[0].id == "s1" and s.series[0].color == "#FF4B00"
+    assert s.save.format == "png" and s.save.transparent is False
+    json.dumps(d)  # JSON 互換
+
+
+def test_default_settings_returns_fresh_objects():
+    a = default_settings()
+    a["series"][0]["color"] = "#000000"
+    assert default_settings()["series"][0]["color"] == "#FF4B00"
+
+
+def test_missing_keys_are_filled_from_defaults():
+    s = parse_settings({"version": 1, "plot": {"title": "  T  "}, "series": [{"y": "__idx__2"}]})
+    assert s.plot.title == "T"  # 前後の空白は取り除く
+    assert s.plot.font_size == 15 and s.plot.legend_location == "best"
+    assert s.series[0].y == "__idx__2" and s.series[0].line_width == 2 and s.series[0].id == "s1"
+    assert parse_settings({}).plot.type == "line"
+    assert parse_settings(None).series[0].x == ""
+
+
+def test_series_without_id_get_unique_ids():
+    s = parse_settings({"series": [{}, {}, {"id": "s1"}]})
+    assert len({x.id for x in s.series}) == 3
+
+
+def test_numeric_strings_are_accepted():
+    raw = default_settings()
+    raw["plot"]["fontSize"] = "12.5"
+    raw["plot"]["skipRows"] = "3"
+    raw["plot"]["figure"] = {"width": " 7 ", "height": 5}
+    raw["axes"]["x"]["min"] = "0"
+    raw["axes"]["x"]["max"] = "10.5"
+    raw["series"][0]["lineWidth"] = "1.5"
+    raw["series"][0]["markerSize"] = "4"
+    s = parse_settings(raw)
+    assert s.plot.font_size == 12.5 and s.plot.skip_rows == 3
+    assert s.plot.figure.width == 7.0
+    assert (s.axes.x.min, s.axes.x.max) == (0.0, 10.5)
+    assert s.series[0].line_width == 1.5 and s.series[0].marker_size == 4.0
+
+
+def test_empty_numbers_mean_default_or_none():
+    raw = default_settings()
+    raw["plot"]["fontSize"] = None
+    raw["plot"]["skipRows"] = ""
+    raw["axes"]["y"]["min"] = ""
+    raw["series"][0]["lineWidth"] = None
+    s = parse_settings(raw)
+    assert s.plot.font_size == 15 and s.plot.skip_rows == 0 and s.axes.y.min is None and s.series[0].line_width == 2
+
+
+def _expect_error(mutator, *needles):
+    raw = default_settings()
+    mutator(raw)
+    with pytest.raises(UserError) as info:
+        parse_settings(raw)
+    msg = info.value.message
+    assert any("぀" <= ch <= "ヿ" or "一" <= ch <= "鿿" for ch in msg), f"日本語でない: {msg}"
+    assert msg.isascii() is False
+    for needle in needles:
+        assert needle in msg, f"{needle!r} が {msg!r} に含まれない"
+    return info.value
+
+
+@pytest.mark.parametrize(
+    "mutator, needles",
+    [
+        (lambda r: r["plot"].__setitem__("fontSize", "abc"), ("フォントサイズ", "数値")),
+        (lambda r: r["plot"].__setitem__("fontSize", 0), ("フォントサイズ", "0より大きい")),
+        (lambda r: r["plot"].__setitem__("fontSize", "invalid"), ("フォントサイズ",)),
+        (lambda r: r["plot"].__setitem__("fontSize", True), ("フォントサイズ",)),
+        (lambda r: r["plot"].__setitem__("fontSize", float("nan")), ("フォントサイズ",)),
+        (lambda r: r["plot"]["figure"].__setitem__("width", -1), ("図幅",)),
+        (lambda r: r["plot"]["figure"].__setitem__("height", "x"), ("図高さ",)),
+        (lambda r: r["plot"].__setitem__("skipRows", -1), ("除外する先頭行数", "0以上の整数")),
+        (lambda r: r["plot"].__setitem__("skipRows", "1.5"), ("除外する先頭行数", "整数")),
+        (lambda r: r["plot"].__setitem__("skipRows", "abc"), ("除外する先頭行数",)),
+        (lambda r: r["plot"].__setitem__("type", "pie"), ("プロット種別",)),
+        (lambda r: r["plot"]["legend"].__setitem__("location", "nowhere"), ("凡例位置",)),
+        (lambda r: r["plot"]["margins"].__setitem__("left", 1.5), ("余白 左(left)", "0〜1")),
+        (lambda r: r["plot"]["margins"].__setitem__("top", "zz"), ("余白 上(top)",)),
+        (lambda r: r["plot"]["margins"].update(left=0.9, right=0.1), ("left < right",)),
+        (lambda r: r["plot"]["margins"].update(bottom=0.9, top=0.1), ("bottom < top",)),
+        (lambda r: r["axes"]["x"].__setitem__("min", "q"), ("X軸の最小値",)),
+        (lambda r: r["axes"]["y"].__setitem__("max", "q"), ("Y軸の最大値",)),
+        (lambda r: r["axes"]["x"].update(min=5, max=1), ("X軸の範囲",)),
+        (lambda r: r["axes"]["y"].update(scale="log", min=0), ("Y軸", "対数")),
+        (lambda r: r["axes"]["x"].__setitem__("scale", "sqrt"), ("X軸スケール",)),
+        (lambda r: r["series"][0].__setitem__("lineWidth", -1), ("系列1の", "「線幅」", "0より大きい")),
+        (lambda r: r["series"][0].__setitem__("markerSize", -3), ("系列1の", "「点サイズ」", "0以上")),
+        (lambda r: r["series"][0].__setitem__("markerSize", "x"), ("「点サイズ」",)),
+        (lambda r: r["series"][0].__setitem__("lineStyle", "wavy"), ("「線種」",)),
+        (lambda r: r["series"][0].__setitem__("color", "notacolor"), ("「色」",)),
+        (lambda r: r["series"][0].__setitem__("secondaryAxis", "yes"), ("「第2軸を使用」",)),
+        (lambda r: r["series"].append({"lineWidth": "bad"}), ("系列2の", "「線幅」")),
+        (lambda r: r.__setitem__("series", []), ("描画系列",)),
+        (lambda r: r["save"].__setitem__("format", "gif"), ("保存形式",)),
+        (lambda r: r["save"].__setitem__("transparent", "yes"), ("背景を透過",)),
+        (lambda r: r["plot"].__setitem__("title", 5), ("タイトル",)),
+    ],
+)
+def test_validation_messages_are_japanese_and_name_the_field(mutator, needles):
+    _expect_error(mutator, *needles)
+
+
+def test_y2_range_only_checked_when_secondary_axis_used():
+    raw = default_settings()
+    raw["axes"]["y2"].update(min=5, max=1)
+    parse_settings(raw)  # 第2軸を使う系列が無ければ検証しない
+    raw["series"][0]["secondaryAxis"] = True
+    with pytest.raises(UserError) as info:
+        parse_settings(raw)
+    assert "第2Y軸の範囲" in info.value.message
+
+
+def test_unknown_version_rejected():
+    raw = default_settings()
+    del raw["version"]
+    parse_settings(raw)  # version 欠落は現行版として扱う
+    for bad in (2, 0, "1", None, True):
+        raw = default_settings()
+        raw["version"] = bad
+        with pytest.raises(UserError) as info:
+            parse_settings(raw)
+        assert "バージョン" in info.value.message
+    with pytest.raises(UserError):
+        parse_load_settings({"version": 99})
+
+
+def test_marker_size_auto_and_backstop():
+    s = parse_settings(default_settings()).series[0]
+    assert s.marker_size is None
+    assert s.effective_marker_size("line") == 0 and s.effective_marker_size("scatter") == 24
+    raw = default_settings()
+    raw["series"][0]["markerSize"] = 0
+    zero = parse_settings(raw).series[0]
+    assert zero.effective_marker_size("line") == 0
+    assert zero.effective_marker_size("scatter") == 24  # scatter で 0 以下なら 24
+    raw["series"][0]["markerSize"] = 7
+    assert parse_settings(raw).series[0].effective_marker_size("scatter") == 7
+
+
+def test_parse_load_settings_ignores_other_invalid_fields():
+    raw = default_settings()
+    raw["plot"]["fontSize"] = "bad"
+    raw["load"].update(delimiter=";", hasHeader=False)
+    load = parse_load_settings(raw)
+    assert load.delimiter == ";" and load.has_header is False
+
+
+def test_settings_are_frozen():
+    s = parse_settings(default_settings())
+    with pytest.raises(Exception):
+        s.plot.title = "x"
+    with pytest.raises(Exception):
+        s.series[0].color = "#000000"
+
+
+def test_to_legacy_dict_shape():
+    raw = default_settings()
+    raw["plot"].update(title="T", skipRows=2, xColumn="__idx__1")
+    raw["plot"]["margins"]["left"] = 0.1
+    raw["axes"]["x"].update(label="X", min=0, max=5)
+    raw["series"][0].update(label="L", secondaryAxis=True, y="__idx__2")
+    d = to_legacy_dict(parse_settings(raw))
+    expected_keys = {
+        "skip_rows", "plot_type", "title", "x_label", "y_label", "y2_label", "x_scale", "y_scale", "y2_scale",
+        "x_min", "x_max", "y_min", "y_max", "y2_min", "y2_max", "show_major_grid", "show_minor_grid",
+        "legend_location", "font_size", "fig_width", "fig_height", "subplot_margins", "subplot_left",
+        "subplot_right", "subplot_bottom", "subplot_top", "x_column_request", "series_settings", "series_settings_error",
+    }
+    assert set(d) == expected_keys
+    assert d["skip_rows"] == 2 and d["plot_type"] == "line" and d["title"] == "T" and d["x_label"] == "X"
+    assert d["x_min"] == 0 and d["x_max"] == 5 and d["subplot_left"] == 0.1
+    assert d["subplot_margins"] == {"left": 0.1, "right": None, "bottom": None, "top": None}
+    assert d["x_column_request"] == "__idx__1" and d["font_size"] == 15 and d["fig_width"] == 8
+    assert d["series_settings"] == [
+        {
+            "y_request": "__idx__2", "x_request": "", "color": "#FF4B00", "line_width": 2.0, "line_style": "solid",
+            "marker_size": 0.0, "legend_name": "L", "use_secondary_axis": True,
+        }
+    ]
+    json.dumps(d)
+
+
+def test_parse_does_not_mutate_input():
+    raw = default_settings()
+    before = copy.deepcopy(raw)
+    parse_settings(raw)
+    assert raw == before

From 3891a4ce900ddcd9ebc59a37b5a3eed658fcf365 Mon Sep 17 00:00:00 2001
From: mioupa <mioupa.org@gmail.com>
Date: Wed, 7 Oct 2026 18:34:34 +0900
Subject: [PATCH 14/37] Add E2E test that changes drawing settings and checks
 each re-render

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---
 tests/e2e/test_settings_flow.py | 89 +++++++++++++++++++++++++++++++++
 1 file changed, 89 insertions(+)
 create mode 100644 tests/e2e/test_settings_flow.py

diff --git a/tests/e2e/test_settings_flow.py b/tests/e2e/test_settings_flow.py
new file mode 100644
index 0000000..661fcdf
--- /dev/null
+++ b/tests/e2e/test_settings_flow.py
@@ -0,0 +1,89 @@
+"""描画設定を順に変えて、そのたびにエラーなく再描画されること（設定オブジェクト → Python 経路の確認）。"""
+import pytest
+
+from helpers import (
+    load_fixture,
+    plot_src,
+    status_kind,
+    status_text,
+    wait_app_ready,
+    wait_plot_changed,
+    wait_settled,
+)
+
+pytestmark = pytest.mark.e2e
+
+
+def _changed_ok(page, previous):
+    new = wait_plot_changed(page, previous)
+    wait_settled(page)
+    assert status_kind(page) == "ok", status_text(page)
+    assert status_text(page).startswith("描画に成功しました")
+    return new
+
+
+def test_changing_settings_rerenders_without_error(page, app_url, fixtures_dir, console_log):
+    page.goto(app_url)
+    wait_app_ready(page)
+    load_fixture(page, fixtures_dir / "utf8.csv")
+    src = _changed_ok(page, "")
+    assert "1系列" in status_text(page)
+
+    steps = []
+
+    # プロット種別: scatter
+    page.select_option("#plotType", "scatter")
+    steps.append("scatter")
+    src = _changed_ok(page, src)
+    assert page.eval_on_selector("#series-s1-marker-size", "e => e.value") == "24"  # 点サイズは自動値を表示する
+
+    # 系列の色
+    page.click("#series-s1-color-trigger")
+    page.click(".series-color-chip[data-color='#005AFF']")
+    steps.append("color")
+    src = _changed_ok(page, src)
+    assert page.eval_on_selector("#seriesList .series-color-value", "e => e.textContent") == "#005AFF"
+
+    # 系列追加（既定色は未使用のパレット色）+ 第2軸
+    page.click("#addSeriesBtn")
+    assert page.eval_on_selector_all("#seriesList .series-item", "els => els.length") == 2
+    assert page.eval_on_selector_all("#seriesList .series-color-value", "els => els.map(e => e.textContent)")[1] == "#FF4B00"
+    src = _changed_ok(page, src)
+    assert "2系列" in status_text(page)
+    assert not page.is_visible("#y2LabelGroup")
+    page.check("#seriesList .series-item:nth-child(2) .series-use-y2")
+    steps.append("secondary axis")
+    src = _changed_ok(page, src)
+    assert page.is_visible("#y2LabelGroup") and page.is_visible("#y2AxisSettingsGroup")
+    page.fill("#y2Label", "第2軸")
+    src = _changed_ok(page, src)
+
+    # 軸の範囲
+    page.fill("#xMin", "1")
+    page.fill("#xMax", "2")
+    steps.append("axis range")
+    src = _changed_ok(page, src)
+
+    # 凡例位置
+    page.select_option("#legendLocation", "upper left")
+    steps.append("legend")
+    src = _changed_ok(page, src)
+    page.select_option("#legendLocation", "none")
+    src = _changed_ok(page, src)
+
+    # bar に切替（X列は共通）
+    page.select_option("#plotType", "bar")
+    assert page.is_visible("#globalXGroup")
+    src = _changed_ok(page, src)
+
+    # 不正な入力は日本語で項目名つきのエラーになり、直すと復帰する
+    page.fill("#skipRows", "1.5")
+    page.wait_for_function("document.getElementById('status').dataset.kind === 'error'")
+    wait_settled(page)
+    assert "「除外する先頭行数」" in status_text(page)
+    assert plot_src(page) == src  # 前の画像は残る
+    page.fill("#skipRows", "2")
+    src = _changed_ok(page, src)
+    assert "スキップ2行" in status_text(page)
+
+    assert [e for e in console_log.events if e[2] == "pageerror"] == []

From e6de3e6ff4dbd49a632f338110a94645d79c9ff6 Mon Sep 17 00:00:00 2001
From: mioupa <mioupa.org@gmail.com>
Date: Wed, 7 Oct 2026 18:39:36 +0900
Subject: [PATCH 15/37] Pin UI web font to fontsource 5.3.0, pin Noto CJK URL,
 add CDN pin scan test

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---
 index.html                     |  7 +--
 js/bridge.js                   |  2 +-
 tests/unit/test_cdn_pinning.py | 80 ++++++++++++++++++++++++++++++++++
 3 files changed, 85 insertions(+), 4 deletions(-)
 create mode 100644 tests/unit/test_cdn_pinning.py

diff --git a/index.html b/index.html
index 176ce2a..89cbc66 100644
--- a/index.html
+++ b/index.html
@@ -5,9 +5,10 @@
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
     <title>Matplotlib GUI</title>
     <link rel="icon" href="icon.svg" type="image/svg+xml" />
-    <link rel="preconnect" href="https://fonts.googleapis.com" />
-    <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin />
-    <link href="https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;500;700&display=swap" rel="stylesheet" />
+    <!-- UI の Web フォント（バージョン固定の fontsource。Google Fonts の css2 は固定できないため使わない） -->
+    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/@fontsource/noto-sans-jp@5.3.0/400.css" />
+    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/@fontsource/noto-sans-jp@5.3.0/500.css" />
+    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/@fontsource/noto-sans-jp@5.3.0/700.css" />
     <link rel="stylesheet" href="https://pyscript.net/releases/2026.7.3/core.css" />
     <link rel="stylesheet" href="css/style.css" />
     <script type="module" src="./js/main.js"></script>
diff --git a/js/bridge.js b/js/bridge.js
index 4b07121..e2ce4e5 100644
--- a/js/bridge.js
+++ b/js/bridge.js
@@ -9,7 +9,7 @@ import { setColumns } from "./ui/series.js";
 
 const RENDER_DELAY_MS = 250;
 const LOAD_DELAY_MS = { file: 0, header: 0, delimiter: 450 };
-const JP_FONT_URL = "https://cdn.jsdelivr.net/gh/googlefonts/noto-cjk@main/Sans/OTF/Japanese/NotoSansCJKjp-Regular.otf";
+const JP_FONT_URL = "https://cdn.jsdelivr.net/gh/googlefonts/noto-cjk@Sans2.004/Sans/OTF/Japanese/NotoSansCJKjp-Regular.otf";
 
 const root = document.documentElement;
 let api = null; // window.mplgui（Python 側が登録）
diff --git a/tests/unit/test_cdn_pinning.py b/tests/unit/test_cdn_pinning.py
new file mode 100644
index 0000000..41ecf72
--- /dev/null
+++ b/tests/unit/test_cdn_pinning.py
@@ -0,0 +1,80 @@
+"""外部 CDN の URL がすべてバージョン固定であること（@main / @latest / バージョン無し / Google Fonts css2 を禁止）。"""
+import re
+from pathlib import Path
+
+import pytest
+
+pytestmark = pytest.mark.unit
+
+REPO = Path(__file__).resolve().parents[2]
+URL_RE = re.compile(r"https?://[^\s\"'<>)`]+")
+
+# (ホスト, 固定済みとみなすパスのパターン)
+PINNED = [
+    ("pyscript.net", re.compile(r"^/releases/\d{4}\.\d+\.\d+/")),
+    ("cdn.jsdelivr.net", re.compile(r"^/npm/(@[\w.-]+/)?[\w.-]+@\d+\.\d+\.\d+(?:[-+.\w]*)?/")),
+    ("cdn.jsdelivr.net", re.compile(r"^/gh/[\w.-]+/[\w.-]+@(?!main\b|master\b|latest\b)[\w.-]*\d[\w.-]*/")),
+]
+NAMESPACE_HOSTS = {"www.w3.org"}  # SVG などの名前空間 URI（取得されない）
+
+
+def scan_files():
+    files = [REPO / "index.html"]
+    for sub, pattern in (("js", "*.js"), ("css", "*.css"), ("py", "*.py")):
+        files += sorted((REPO / sub).rglob(pattern))
+    return files
+
+
+def check_url(url: str) -> str | None:
+    """問題があれば理由を返す。"""
+    m = re.match(r"https?://([^/]+)(/.*)?$", url)
+    host, path = m.group(1), m.group(2) or "/"
+    if host in NAMESPACE_HOSTS:
+        return None
+    if "fonts.googleapis.com" in host or "fonts.gstatic.com" in host:
+        return "Google Fonts は固定できない"
+    for pinned_host, pat in PINNED:
+        if host == pinned_host and pat.match(path):
+            return None
+    return "バージョン固定されていない（または未許可のホスト）"
+
+
+def test_all_urls_are_pinned():
+    problems = []
+    seen = 0
+    for f in scan_files():
+        for url in URL_RE.findall(f.read_text(encoding="utf-8")):
+            seen += 1
+            reason = check_url(url.rstrip(".,;"))
+            if reason:
+                problems.append(f"{f.relative_to(REPO)}: {url} ({reason})")
+    assert seen > 0
+    assert not problems, "\n".join(problems)
+
+
+@pytest.mark.parametrize(
+    "url",
+    [
+        "https://cdn.jsdelivr.net/gh/googlefonts/noto-cjk@main/Sans/x.otf",
+        "https://cdn.jsdelivr.net/npm/@fontsource/noto-sans-jp@latest/400.css",
+        "https://cdn.jsdelivr.net/npm/@fontsource/noto-sans-jp/400.css",
+        "https://cdn.jsdelivr.net/gh/googlefonts/noto-cjk/Sans/x.otf",
+        "https://fonts.googleapis.com/css2?family=Noto+Sans+JP",
+        "https://pyscript.net/latest/core.js",
+        "https://example.com/x.js",
+    ],
+)
+def test_checker_rejects_unpinned(url):
+    assert check_url(url)
+
+
+@pytest.mark.parametrize(
+    "url",
+    [
+        "https://cdn.jsdelivr.net/gh/googlefonts/noto-cjk@Sans2.004/Sans/OTF/Japanese/NotoSansCJKjp-Regular.otf",
+        "https://cdn.jsdelivr.net/npm/@fontsource/noto-sans-jp@5.3.0/400.css",
+        "https://pyscript.net/releases/2026.7.3/core.js",
+    ],
+)
+def test_checker_accepts_pinned(url):
+    assert check_url(url) is None

From 19fda50d6477d5c4aa70a219c5c611f93f99b897 Mon Sep 17 00:00:00 2001
From: mioupa <mioupa.org@gmail.com>
Date: Wed, 7 Oct 2026 18:45:56 +0900
Subject: [PATCH 16/37] A1/A2: row numbers and skipped rows in data preview;
 reset file input, show file name and encoding

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---
 js/ui/dataPreview.js            | 23 ++++++++--
 js/ui/fileInfo.js               | 29 +++++++++++++
 tests/e2e/test_data_and_file.py | 76 +++++++++++++++++++++++++++++++++
 tests/unit/test_js_modules.py   | 56 ++++++++++++++++++++++++
 4 files changed, 181 insertions(+), 3 deletions(-)
 create mode 100644 js/ui/fileInfo.js
 create mode 100644 tests/e2e/test_data_and_file.py
 create mode 100644 tests/unit/test_js_modules.py

diff --git a/js/ui/dataPreview.js b/js/ui/dataPreview.js
index 3a04e54..b401031 100644
--- a/js/ui/dataPreview.js
+++ b/js/ui/dataPreview.js
@@ -5,7 +5,17 @@ const el = (tag, text) => {
   return node;
 };
 
-export const showPreview = (preview) => {
+// skipRows として有効な値（正の整数）だけを行数にする。不正値・空は 0 とみなす
+const effectiveSkipRows = (value) => (Number.isInteger(value) && value > 0 ? value : 0);
+
+// 描画から除外される先頭 skipRows 行（データ行。ヘッダは数えない）に .skipped-row を付ける。Python は呼ばない。
+export const applySkipRows = (skipRows) => {
+  const n = effectiveSkipRows(skipRows);
+  const rows = document.querySelectorAll("#dataArea tbody tr");
+  rows.forEach((tr, idx) => tr.classList.toggle("skipped-row", idx < n));
+};
+
+export const showPreview = (preview, skipRows = 0) => {
   const dataArea = document.getElementById("dataArea");
   if (!dataArea) return;
   const truncated = preview.truncated ? `（先頭${preview.limit}行のみ表示）` : "";
@@ -16,18 +26,25 @@ export const showPreview = (preview) => {
   table.border = "0";
   table.className = "dataframe data-table";
   const headRow = el("tr");
+  const numHead = el("th", "#");
+  numHead.className = "row-number";
+  headRow.appendChild(numHead);
   for (const name of preview.columns) headRow.appendChild(el("th", name));
   table.appendChild(el("thead")).appendChild(headRow);
   const body = el("tbody");
-  for (const row of preview.rows) {
+  preview.rows.forEach((row, idx) => {
     const tr = el("tr");
+    const num = el("td", String(idx + 1)); // 1 始まりのデータ行番号
+    num.className = "row-number";
+    tr.appendChild(num);
     for (const cell of row) tr.appendChild(el("td", cell));
     body.appendChild(tr);
-  }
+  });
   table.appendChild(body);
 
   const wrap = el("div");
   wrap.className = "table-wrap";
   wrap.appendChild(table);
   dataArea.replaceChildren(meta, wrap);
+  applySkipRows(skipRows);
 };
diff --git a/js/ui/fileInfo.js b/js/ui/fileInfo.js
new file mode 100644
index 0000000..ef8829d
--- /dev/null
+++ b/js/ui/fileInfo.js
@@ -0,0 +1,29 @@
+// 選択中のファイル名と検出した文字コードの表示（#fileNameLabel / #encodingLabel）。
+const ENCODING_NAMES = {
+  "utf-8": "UTF-8",
+  "utf-8-sig": "UTF-8（BOM付き）",
+  cp932: "Shift_JIS（CP932）",
+  "euc-jp": "EUC-JP",
+};
+
+export const encodingDisplayName = (encoding) => (encoding === null || encoding === undefined ? "Excel" : ENCODING_NAMES[encoding] || String(encoding));
+
+export const showFileName = (name) => {
+  const label = document.getElementById("fileNameLabel");
+  if (label) label.textContent = name ? `選択中: ${name}` : "";
+  showEncoding(undefined);
+};
+
+// encoding: undefined = 非表示（未読込）、null = xlsx
+export const showEncoding = (encoding) => {
+  const label = document.getElementById("encodingLabel");
+  if (!label) return;
+  if (encoding === undefined) {
+    label.textContent = "";
+    label.dataset.encoding = "";
+    return;
+  }
+  const name = encodingDisplayName(encoding);
+  label.textContent = encoding === null ? `形式: ${name}` : `文字コード: ${name}`;
+  label.dataset.encoding = encoding === null ? "excel" : String(encoding);
+};
diff --git a/tests/e2e/test_data_and_file.py b/tests/e2e/test_data_and_file.py
new file mode 100644
index 0000000..80e639c
--- /dev/null
+++ b/tests/e2e/test_data_and_file.py
@@ -0,0 +1,76 @@
+"""A1（データ確認の行番号と除外行）と A2（ファイル入力のリセット・ファイル名/文字コード表示）。"""
+import pytest
+
+from helpers import load_count, load_fixture, wait_app_ready, wait_load_count, wait_settled
+
+pytestmark = pytest.mark.e2e
+
+
+def _make_csv(path, rows=150):
+    path.write_text("a,b\n" + "".join(f"{i},{i * 2}\n" for i in range(rows)), encoding="utf-8")
+    return path
+
+
+def _skipped_flags(page):
+    return page.eval_on_selector_all("#dataArea tbody tr", "rows => rows.map(r => r.classList.contains('skipped-row'))")
+
+
+def test_data_preview_row_numbers_and_skipped_rows(page, app_url, tmp_path, console_log):
+    page.goto(app_url)
+    wait_app_ready(page)
+    load_fixture(page, _make_csv(tmp_path / "many.csv"))
+    wait_settled(page)
+    page.click("#tabDataBtn")
+
+    assert page.eval_on_selector("#dataArea thead th:first-child", "e => e.textContent") == "#"
+    nums = page.eval_on_selector_all("#dataArea tbody tr td:first-child", "els => els.map(e => e.textContent)")
+    assert nums == [str(i) for i in range(1, 101)]  # 先頭100行、ヘッダは数えない
+    assert not any(_skipped_flags(page))
+
+    loads = load_count(page)
+    page.fill("#skipRows", "3")
+    page.wait_for_function("document.querySelectorAll('#dataArea tbody tr.skipped-row').length === 3")
+    flags = _skipped_flags(page)
+    assert flags[:3] == [True] * 3 and not any(flags[3:])
+    # 灰色で表示される（通常行と背景色が違う）
+    bg = page.eval_on_selector_all("#dataArea tbody tr td:nth-child(2)", "els => [els[0], els[5]].map(e => getComputedStyle(e).backgroundColor)")
+    assert bg[0] != bg[1]
+
+    page.fill("#skipRows", "1")
+    page.wait_for_function("document.querySelectorAll('#dataArea tbody tr.skipped-row').length === 1")
+    page.fill("#skipRows", "")
+    page.wait_for_function("document.querySelectorAll('#dataArea tbody tr.skipped-row').length === 0")
+    assert load_count(page) == loads  # ファイルは再読込していない
+    # 再読込（ヘッダ設定変更）後も skipRows が反映される
+    page.fill("#skipRows", "2")
+    wait_settled(page)
+    page.uncheck("#hasHeader")
+    wait_load_count(page, loads + 1)
+    page.wait_for_function("document.querySelectorAll('#dataArea tbody tr.skipped-row').length === 2")
+
+
+def test_file_input_reset_and_labels(page, app_url, fixtures_dir, console_log):
+    page.goto(app_url)
+    wait_app_ready(page)
+    src = fixtures_dir / "utf8.csv"
+    load_fixture(page, src)
+    wait_settled(page)
+    assert page.eval_on_selector("#fileInput", "e => e.value") == ""
+    assert "utf8.csv" in page.inner_text("#fileNameLabel")
+    assert "UTF-8" in page.inner_text("#encodingLabel")
+    assert load_count(page) == 1
+
+    # 同じファイルをもう一度選ぶと再読込される
+    page.set_input_files("#fileInput", str(src))
+    wait_load_count(page, 2)
+    wait_settled(page)
+    assert page.eval_on_selector("#fileInput", "e => e.value") == ""
+
+    # 区切り文字・ヘッダの変更でも、保持している File で再読込できる
+    page.uncheck("#hasHeader")
+    wait_load_count(page, 3)
+    wait_settled(page)
+
+    page.set_input_files("#fileInput", str(fixtures_dir / "multi_sheet.xlsx"))
+    wait_load_count(page, 4)
+    assert "Excel" in page.inner_text("#encodingLabel")
diff --git a/tests/unit/test_js_modules.py b/tests/unit/test_js_modules.py
new file mode 100644
index 0000000..45dfc9c
--- /dev/null
+++ b/tests/unit/test_js_modules.py
@@ -0,0 +1,56 @@
+"""純粋な JS モジュールを node で検証する（node が無ければ skip）。"""
+import json
+import shutil
+import subprocess
+from pathlib import Path
+
+import pytest
+
+pytestmark = pytest.mark.unit
+REPO = Path(__file__).resolve().parents[2]
+needs_node = pytest.mark.skipif(shutil.which("node") is None, reason="node が無い")
+
+
+def run_node(tmp_path, files: dict[str, str], script: str):
+    """files: {コピー先ファイル名: リポジトリ内の相対パス}。ES module として実行して JSON を返す。"""
+    (tmp_path / "package.json").write_text('{"type": "module"}', encoding="utf-8")
+    for name, rel in files.items():
+        (tmp_path / name).write_text((REPO / rel).read_text(encoding="utf-8"), encoding="utf-8")
+    (tmp_path / "run.mjs").write_text(script, encoding="utf-8")
+    out = subprocess.run(["node", "run.mjs"], cwd=tmp_path, capture_output=True, text=True, check=True, timeout=30)
+    return json.loads(out.stdout)
+
+
+@needs_node
+def test_encoding_display_names(tmp_path):
+    script = """
+    globalThis.document = { getElementById: () => null };
+    import { encodingDisplayName } from "./fileInfo.mjs";
+    console.log(JSON.stringify(["utf-8", "utf-8-sig", "cp932", "euc-jp", null].map(encodingDisplayName)));
+    """
+    # import は先頭で巻き上げられるため、document の定義は不要（関数内でのみ使う）
+    res = run_node(tmp_path, {"fileInfo.mjs": "js/ui/fileInfo.js"}, script)
+    assert res == ["UTF-8", "UTF-8（BOM付き）", "Shift_JIS（CP932）", "EUC-JP", "Excel"]
+
+
+@needs_node
+def test_new_series_color_is_first_unused_palette_color(tmp_path):
+    script = """
+    import { addSeries, getSettings, updateSeries, nextSeriesColor } from "./state.mjs";
+    import { PALETTE } from "./defaults.js";
+    const out = {};
+    updateSeries("s1", { color: "#005AFF" });           // 先頭色が空く
+    out.first = nextSeriesColor();                        // #FF4B00
+    addSeries();
+    out.second = nextSeriesColor();                       // #03AF7A（#FF4B00 #005AFF は使用済み）
+    while (getSettings().series.length < PALETTE.length) addSeries();
+    out.allUsed = new Set(getSettings().series.map((s) => s.color)).size;
+    out.cycled = nextSeriesColor();                       // すべて使用済み → 系列数で循環
+    out.cycledExpected = PALETTE[getSettings().series.length % PALETTE.length];
+    console.log(JSON.stringify(out));
+    """
+    res = run_node(tmp_path, {"state.mjs": "js/state.js", "defaults.js": "js/defaults.js"}, script)
+    assert res["first"] == "#FF4B00"
+    assert res["second"] == "#03AF7A"
+    assert res["allUsed"] == 11
+    assert res["cycled"] == res["cycledExpected"]

From 0e83eb31e206bba43f1caaa48d01d5fc03287b0c Mon Sep 17 00:00:00 2001
From: mioupa <mioupa.org@gmail.com>
Date: Wed, 7 Oct 2026 18:45:56 +0900
Subject: [PATCH 17/37] A6/B5: Cache Storage font loader with progress, single
 warning on failure

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---
 js/font-cache.js       | 96 ++++++++++++++++++++++++++++++++++++++++++
 js/ui/progress.js      | 19 +++++++++
 tests/e2e/test_font.py | 58 +++++++++++++++++++++++++
 3 files changed, 173 insertions(+)
 create mode 100644 js/font-cache.js
 create mode 100644 js/ui/progress.js
 create mode 100644 tests/e2e/test_font.py

diff --git a/js/font-cache.js b/js/font-cache.js
new file mode 100644
index 0000000..f68c1d6
--- /dev/null
+++ b/js/font-cache.js
@@ -0,0 +1,96 @@
+// 日本語フォント（Noto Sans CJK JP）の取得。Cache Storage に保存し、再訪問ではダウンロードしない。
+// - セッション中の取得は最大1回（失敗しても再試行しない）。
+// - Cache Storage が使えない環境では通常の fetch にフォールバックする。
+export const FONT_URL = "https://cdn.jsdelivr.net/gh/googlefonts/noto-cjk@Sans2.004/Sans/OTF/Japanese/NotoSansCJKjp-Regular.otf";
+export const FONT_CACHE_NAME = "mplgui-fonts-v1";
+
+let fontPromise = null; // 取得結果（Uint8Array | null）。一度作ったら使い回す
+
+const openCache = async () => {
+  try {
+    if (typeof caches === "undefined") return null;
+    return await caches.open(FONT_CACHE_NAME);
+  } catch (_) {
+    return null;
+  }
+};
+
+const readCached = async (cache) => {
+  if (!cache) return null;
+  try {
+    const hit = await cache.match(FONT_URL);
+    return hit ? new Uint8Array(await hit.arrayBuffer()) : null;
+  } catch (_) {
+    return null;
+  }
+};
+
+// Cache Storage に入っているか（ダウンロードを伴わない確認）
+export const isFontCached = async () => {
+  const cache = await openCache();
+  if (!cache) return false;
+  try {
+    return !!(await cache.match(FONT_URL));
+  } catch (_) {
+    return false;
+  }
+};
+
+// ストリームで読み、進捗(0-100)を onProgress に通知する。content-length が圧縮後サイズのこともあるので 99 で頭打ちにする。
+const download = async (onProgress) => {
+  const response = await fetch(FONT_URL);
+  if (!response.ok) throw new Error(`HTTP ${response.status}`);
+  const total = Number(response.headers.get("content-length")) || 0;
+  if (!response.body || !response.body.getReader) {
+    const bytes = new Uint8Array(await response.arrayBuffer());
+    onProgress(100);
+    return bytes;
+  }
+  const reader = response.body.getReader();
+  const chunks = [];
+  let received = 0;
+  for (;;) {
+    const { done, value } = await reader.read();
+    if (done) break;
+    chunks.push(value);
+    received += value.length;
+    if (total > 0) onProgress(Math.min(99, Math.floor((received / total) * 100)));
+  }
+  const bytes = new Uint8Array(received);
+  let offset = 0;
+  for (const chunk of chunks) {
+    bytes.set(chunk, offset);
+    offset += chunk.length;
+  }
+  onProgress(100);
+  return bytes;
+};
+
+// 成功: Uint8Array、失敗: null（onProgress(percent) は 0〜100）。2回目以降は同じ結果を返す。
+export const loadFont = (onProgress = () => {}) => {
+  if (!fontPromise) {
+    fontPromise = (async () => {
+      const cache = await openCache();
+      const cached = await readCached(cache);
+      if (cached) {
+        onProgress(100);
+        return cached;
+      }
+      try {
+        onProgress(0);
+        const bytes = await download(onProgress);
+        if (cache) {
+          try {
+            await cache.put(FONT_URL, new Response(bytes, { headers: { "content-type": "font/otf" } }));
+          } catch (_) {
+            // 保存に失敗しても今回のセッションでは使える
+          }
+        }
+        return bytes;
+      } catch (_) {
+        return null;
+      }
+    })();
+  }
+  return fontPromise;
+};
diff --git a/js/ui/progress.js b/js/ui/progress.js
new file mode 100644
index 0000000..bbb098a
--- /dev/null
+++ b/js/ui/progress.js
@@ -0,0 +1,19 @@
+// 起動・フォント取得の進捗バナー（#progress）と、描画中の表示（#renderBusy, aria-busy）。
+export const showProgress = (text) => {
+  const el = document.getElementById("progress");
+  if (!el) return;
+  el.textContent = text || "";
+  el.hidden = !text;
+};
+
+export const setBusy = (busy, text = "描画中…") => {
+  const overlay = document.getElementById("renderBusy");
+  if (overlay) {
+    overlay.hidden = !busy;
+    overlay.textContent = text;
+  }
+  for (const id of ["plotPanel", "plotArea"]) {
+    const el = document.getElementById(id);
+    if (el) el.setAttribute("aria-busy", busy ? "true" : "false");
+  }
+};
diff --git a/tests/e2e/test_font.py b/tests/e2e/test_font.py
new file mode 100644
index 0000000..6212eea
--- /dev/null
+++ b/tests/e2e/test_font.py
@@ -0,0 +1,58 @@
+"""A6: 日本語フォントの取得（失敗時の警告は1回・再試行なし、Cache Storage からの再利用）。"""
+import pytest
+
+from helpers import (
+    load_fixture,
+    plot_src,
+    set_title,
+    status_kind,
+    status_warnings,
+    wait_app_ready,
+    wait_font_done,
+    wait_plot_changed,
+    wait_settled,
+)
+
+pytestmark = pytest.mark.e2e
+
+FONT_GLOB = "**/NotoSansCJKjp-Regular.otf"
+
+
+def test_font_failure_warns_once_and_plot_still_renders(page, app_url, fixtures_dir, console_log):
+    requests = []
+    page.route(FONT_GLOB, lambda route: (requests.append(route.request.url), route.abort()))
+    page.goto(app_url)
+    wait_app_ready(page)
+    wait_font_done(page)
+    assert page.evaluate("document.documentElement.dataset.fontState") == "failed"
+
+    load_fixture(page, fixtures_dir / "utf8.csv")
+    wait_settled(page)
+    assert plot_src(page).startswith("data:image/png")
+    warnings = status_warnings(page)
+    assert len(warnings) == 1 and "日本語フォント" in warnings[0]
+    assert status_kind(page) == "warning"
+
+    src = plot_src(page)
+    set_title(page, "再描画")
+    wait_plot_changed(page, src)
+    wait_settled(page)
+    assert len(status_warnings(page)) == 1  # 増えない
+    assert len(requests) == 1  # 再試行しない
+
+
+def test_font_is_served_from_cache_storage_on_reload(page, app_url, console_log):
+    requests = []
+    page.on("request", lambda r: requests.append(r.url) if r.url.endswith("NotoSansCJKjp-Regular.otf") else None)
+    page.goto(app_url)
+    wait_app_ready(page)
+    wait_font_done(page)
+    assert page.evaluate("document.documentElement.dataset.fontState") == "ready"
+    assert len(requests) == 1
+    assert page.evaluate("caches.open('mplgui-fonts-v1').then(c => c.keys()).then(k => k.length)") == 1
+
+    page.reload()
+    wait_app_ready(page)
+    wait_font_done(page)
+    assert page.evaluate("document.documentElement.dataset.fontState") == "ready"
+    assert len(requests) == 1  # 2回目はネットワークに出ない

From b28939e310ad8615013cda7b7dd65ad2f15e3372 Mon Sep 17 00:00:00 2001
From: mioupa <mioupa.org@gmail.com>
Date: Wed, 7 Oct 2026 18:45:56 +0900
Subject: [PATCH 18/37] A3/A4: coalesced render pipeline with generations; keep
 file and settings chosen during startup

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---
 js/bridge.js                      | 234 ++++++++++++++++++++++--------
 tests/e2e/test_render_pipeline.py | 116 +++++++++++++++
 2 files changed, 289 insertions(+), 61 deletions(-)
 create mode 100644 tests/e2e/test_render_pipeline.py

diff --git a/js/bridge.js b/js/bridge.js
index e2ce4e5..8787c98 100644
--- a/js/bridge.js
+++ b/js/bridge.js
@@ -1,15 +1,22 @@
 // Python（window.mplgui）との唯一の窓口。設定は JSON 文字列で渡し、結果の JSON を UI へ反映する。
 // - 再描画は設定変更の 250ms 後（デバウンス）、読込はファイル/ヘッダ 0ms・区切り文字 450ms。保存設定の変更では再描画しない。
-// - 描画の要求はすべてここを通る（世代番号・合体・起動待ちキューは Step 5 でここに足す）。
+// - 描画要求には世代番号を振る。同時に走る Python 描画は最大1つで、実行中の要求は「やり直し」の印だけ付け、
+//   終わったあと最新の設定で1回だけ描画する。古い世代の結果は画像・ステータスに反映しない。
+// - Python の起動前に選んだファイル・変えた設定は保持され、起動後に最新の内容で1回読込・描画する。
 import { subscribe, toJson, getSettings } from "./state.js";
-import { setStatus } from "./ui/notify.js";
+import { addStickyWarning, setStatus, warningTexts } from "./ui/notify.js";
 import { showPlot } from "./ui/plotView.js";
-import { showPreview } from "./ui/dataPreview.js";
+import { applySkipRows, showPreview } from "./ui/dataPreview.js";
 import { setColumns } from "./ui/series.js";
+import { showEncoding, showFileName } from "./ui/fileInfo.js";
+import { setBusy, showProgress } from "./ui/progress.js";
+import { isFontCached, loadFont } from "./font-cache.js";
 
 const RENDER_DELAY_MS = 250;
 const LOAD_DELAY_MS = { file: 0, header: 0, delimiter: 450 };
-const JP_FONT_URL = "https://cdn.jsdelivr.net/gh/googlefonts/noto-cjk@Sans2.004/Sans/OTF/Japanese/NotoSansCJKjp-Regular.otf";
+const FONT_FAILED_MESSAGE = "日本語フォントを取得できませんでした。日本語が正しく表示されない場合があります。";
+const PYTHON_LOADING_MESSAGE = "Python 実行環境を読み込み中…（初回は時間がかかります）";
+const FONT_LOADING_MESSAGE = "日本語フォントを取得中…";
 
 const root = document.documentElement;
 let api = null; // window.mplgui（Python 側が登録）
@@ -17,11 +24,17 @@ let selectedFile = null;
 let dataReady = false;
 let renderTimer = null;
 let loadTimer = null;
-let renderGeneration = 0;
-let loadGeneration = 0;
+let latestGeneration = 0; // 最後に要求された描画の世代番号
+let renderRunning = false;
+let renderDirty = false;
+let loadSeq = 0;
+let loadCount = 0;
+let loadWarnings = [];
 let customCodeProvider = () => null; // 有効なカスタムコードの文字列、無効なら null
 let readyCallbacks = [];
-let fontPromise = null;
+let fontState = "idle"; // idle | loading | ready | failed
+let fontPercent = null;
+let fontTask = null;
 
 const setDataState = (state) => {
   dataReady = state === "ready";
@@ -29,6 +42,12 @@ const setDataState = (state) => {
 };
 const setRenderState = (state) => {
   root.dataset.renderState = state; // idle | pending | rendering
+  const busy = state === "rendering";
+  setBusy(busy, fontState === "loading" ? FONT_LOADING_MESSAGE : "描画中…");
+};
+const setFontState = (state) => {
+  fontState = state;
+  root.dataset.fontState = state;
 };
 
 export const isPythonReady = () => api !== null;
@@ -40,110 +59,193 @@ export const setCustomCodeProvider = (fn) => {
 const callPython = (name, ...args) => JSON.parse(api[name](...args));
 
 const reportError = (error) => {
-  setStatus(error.message, true, error.detail || "");
+  setStatus(error.message, "error", error.detail || "");
 };
 const reportException = (err, context) => {
   const detail = `context: ${context}\n${err && err.stack ? err.stack : String(err)}`;
-  setStatus("内部エラーが発生しました。もう一度操作してください。", true, detail);
+  setStatus("内部エラーが発生しました。もう一度操作してください。", "error", detail);
+};
+
+// 進捗バナー: Python 起動中はその旨、起動後はフォント取得の進捗、どちらも無ければ非表示
+const refreshProgress = () => {
+  if (!api) showProgress(PYTHON_LOADING_MESSAGE);
+  else if (fontState === "loading") showProgress(fontPercent === null ? FONT_LOADING_MESSAGE : `${FONT_LOADING_MESSAGE} ${fontPercent}%`);
+  else showProgress("");
 };
 
-// 日本語フォントは初回の描画前に1回だけ取得する。失敗しても描画は継続する（A6 で font-cache.js に置き換える）。
-const ensureFont = () => {
-  if (!fontPromise) {
-    fontPromise = (async () => {
+const nextPaint = () =>
+  new Promise((resolve) => {
+    const timer = window.setTimeout(resolve, 60); // 非表示タブでは rAF が来ないため上限を設ける
+    window.requestAnimationFrame(() => {
+      window.clearTimeout(timer);
+      window.setTimeout(resolve, 0);
+    });
+  });
+
+// ---- 日本語フォント（A6）。取得はセッション中1回。失敗は警告を1度だけ出し、フォールバックフォントで続行する ----
+const startFont = () => {
+  if (fontTask) return fontTask;
+  setFontState("loading");
+  fontPercent = null;
+  refreshProgress();
+  fontTask = (async () => {
+    const bytes = await loadFont((p) => {
+      fontPercent = p;
+      refreshProgress();
+    });
+    if (!bytes) {
+      setFontState("failed");
+      addStickyWarning(FONT_FAILED_MESSAGE);
+    } else {
+      await new Promise((resolve) => onPythonReady(resolve));
       try {
-        const response = await fetch(JP_FONT_URL);
-        if (!response.ok) return;
-        const bytes = new Uint8Array(await response.arrayBuffer());
         api.registerFont(bytes);
+        setFontState("ready");
       } catch (_) {
-        // フォールバックフォントで継続する
+        setFontState("failed");
+        addStickyWarning(FONT_FAILED_MESSAGE);
       }
-    })();
-  }
-  return fontPromise;
+    }
+    fontPercent = null;
+    refreshProgress();
+    setBusy(root.dataset.renderState === "rendering");
+  })();
+  return fontTask;
 };
 
-const doRender = async () => {
-  if (!api) return;
-  const generation = ++renderGeneration;
-  root.dataset.renderGeneration = String(generation);
-  setRenderState("rendering");
+const waitForFont = async () => {
+  if (fontState === "loading" && fontTask) await fontTask;
+};
+
+// ---- 描画 ----
+const executeRender = async (generation) => {
+  const stale = () => generation !== latestGeneration || !dataReady;
   try {
-    await ensureFont();
-    if (generation !== renderGeneration) return; // 新しい要求が出ている
+    await waitForFont(); // 最初の描画だけがここで待つ（取得済みなら即通過）
+    if (stale()) return;
+    await nextPaint(); // 「描画中…」を先に描かせる（Python の実行は同期でメインスレッドを塞ぐ）
+    if (stale()) return;
     const result = callPython("render", toJson(), customCodeProvider());
-    if (generation !== renderGeneration) return;
+    if (stale()) return;
     if (result.ok) {
       showPlot(result.image, generation);
-      setStatus(`描画に成功しました（${result.seriesCount}系列、スキップ${result.skipRows}行）。`);
+      const skipped = Number.isInteger(result.skipRows) ? result.skipRows : 0;
+      setStatus(`描画に成功しました（${result.seriesCount}系列、スキップ${skipped}行）。`, "ok", "", [
+        ...loadWarnings,
+        ...warningTexts(result.warnings),
+      ]);
     } else {
       reportError(result.error);
     }
   } catch (err) {
-    if (generation === renderGeneration) reportException(err, "render");
+    if (generation === latestGeneration) reportException(err, "render");
+  }
+};
+
+const runRenderLoop = async () => {
+  renderRunning = true;
+  setRenderState("rendering");
+  try {
+    do {
+      renderDirty = false;
+      await executeRender(latestGeneration);
+    } while (renderDirty);
   } finally {
-    if (generation === renderGeneration) setRenderState("idle");
+    renderRunning = false;
+    setRenderState(renderTimer ? "pending" : "idle");
+  }
+};
+
+// 描画を要求する。実行中なら「やり直し」の印だけ付け、最新の設定で終了後に1回だけ走る。
+const requestRender = () => {
+  if (!api || !dataReady) return;
+  latestGeneration += 1;
+  root.dataset.renderGeneration = String(latestGeneration);
+  if (renderRunning) {
+    renderDirty = true;
+    return;
+  }
+  runRenderLoop();
+};
+
+export const scheduleRender = (delay = RENDER_DELAY_MS) => {
+  if (renderTimer) window.clearTimeout(renderTimer);
+  if (!renderRunning) setRenderState("pending");
+  renderTimer = window.setTimeout(() => {
+    renderTimer = null;
+    if (api && dataReady) requestRender();
+    else if (!renderRunning) setRenderState("idle");
+  }, delay);
+};
+
+export const renderNow = () => {
+  if (api && dataReady) {
+    if (renderTimer) {
+      window.clearTimeout(renderTimer);
+      renderTimer = null;
+    }
+    requestRender();
   }
 };
 
+// ---- 読込 ----
 const doLoad = async () => {
   if (!api || !selectedFile) return;
-  const generation = ++loadGeneration;
+  const seq = ++loadSeq;
+  const file = selectedFile;
   setDataState("loading");
+  if (renderRunning) {
+    // 実行中の描画は古いデータのものなので結果を捨てる
+    latestGeneration += 1;
+    root.dataset.renderGeneration = String(latestGeneration);
+  }
   try {
-    const bytes = new Uint8Array(await selectedFile.arrayBuffer());
-    if (generation !== loadGeneration) return;
+    const bytes = new Uint8Array(await file.arrayBuffer());
+    if (seq !== loadSeq) return;
     const loadJson = JSON.stringify({ version: getSettings().version, load: getSettings().load });
-    const result = callPython("loadFile", selectedFile.name, bytes, loadJson);
-    if (generation !== loadGeneration) return;
+    const result = callPython("loadFile", file.name, bytes, loadJson);
+    if (seq !== loadSeq) return;
     if (!result.ok) {
       setDataState("error");
+      loadWarnings = [];
+      showEncoding(undefined);
       reportError(result.error);
       return;
     }
+    loadWarnings = warningTexts(result.warnings);
+    showEncoding(result.encoding === undefined ? null : result.encoding);
     setColumns(result.columns);
-    showPreview(result.preview);
+    showPreview(result.preview, getSettings().plot.skipRows);
     setDataState("ready");
+    loadCount += 1;
+    root.dataset.loadCount = String(loadCount);
     setStatus("");
-    await doRender();
+    renderNow();
   } catch (err) {
-    if (generation === loadGeneration) {
+    if (seq === loadSeq) {
       setDataState("error");
       reportException(err, "loadFile");
     }
   }
 };
 
-export const scheduleRender = (delay = RENDER_DELAY_MS) => {
-  if (renderTimer) window.clearTimeout(renderTimer);
-  setRenderState("pending");
-  renderTimer = window.setTimeout(() => {
-    renderTimer = null;
-    if (api && canAutoRender()) {
-      doRender();
-    } else {
-      setRenderState("idle");
-    }
-  }, delay);
-};
-
 export const scheduleLoad = (delay = LOAD_DELAY_MS.file) => {
   if (!selectedFile) return;
   setDataState("loading"); // 読込が済むまで自動再描画は止める
   if (loadTimer) window.clearTimeout(loadTimer);
+  if (!api) return; // Python の起動後に handlePythonReady が読み込む
   loadTimer = window.setTimeout(() => {
     loadTimer = null;
     doLoad();
   }, delay);
 };
 
-export const renderNow = () => {
-  if (api && canAutoRender()) doRender();
-};
-
+// 同じファイルをもう一度選んだ場合も再読込する（入力欄は main.js が空に戻す）
 export const selectFile = (file) => {
-  selectedFile = file || null;
+  if (!file) return;
+  selectedFile = file;
+  loadWarnings = [];
+  showFileName(file.name);
   scheduleLoad(LOAD_DELAY_MS.file);
 };
 
@@ -160,14 +262,14 @@ const downloadDataUri = (filename, dataUri) => {
 export const saveNow = async () => {
   if (!api) return;
   try {
-    await ensureFont();
+    await waitForFont();
     const result = callPython("save", toJson(), customCodeProvider());
     if (!result.ok) {
       reportError(result.error);
       return;
     }
     downloadDataUri(result.filename, result.dataUri);
-    setStatus(`描画データを保存しました: ${result.filename}`);
+    setStatus(`描画データを保存しました: ${result.filename}`, "ok", "", loadWarnings);
   } catch (err) {
     reportException(err, "save");
   }
@@ -183,16 +285,19 @@ const handlePythonReady = () => {
   if (api || !window.mplgui) return;
   api = window.mplgui;
   root.dataset.appState = "ready";
+  startFont(); // 起動時のダウンロードと競合しないよう、Python の準備後に始める
   const callbacks = readyCallbacks;
   readyCallbacks = [];
   for (const fn of callbacks) fn();
-  scheduleLoad(LOAD_DELAY_MS.file); // 起動前に選ばれたファイルがあれば読み込む
+  refreshProgress();
+  scheduleLoad(LOAD_DELAY_MS.file); // 起動前に選ばれたファイルがあれば、最新の設定で読み込んで1回描画する
 };
 
-// 設定の変更を、読込・再描画・無視のどれにするか振り分ける
+// 設定の変更を、読込・再描画・表示更新・無視のどれにするか振り分ける
 const routeChange = (_settings, change) => {
   if (change.origin !== "user") return;
   const path = change.kind === "path" ? change.path : "series";
+  if (path === "plot.skipRows") applySkipRows(getSettings().plot.skipRows); // 表の灰色表示は Python を呼ばず即時更新
   if (path.startsWith("load.")) {
     scheduleLoad(path === "load.delimiter" ? LOAD_DELAY_MS.delimiter : LOAD_DELAY_MS.header);
   } else if (!path.startsWith("save.")) {
@@ -204,7 +309,14 @@ export const initBridge = () => {
   root.dataset.appState = root.dataset.appState || "starting";
   setDataState("none");
   setRenderState("idle");
+  setFontState("idle");
+  root.dataset.loadCount = "0";
+  refreshProgress();
   subscribe(routeChange);
+  // フォントが Cache Storage にあれば、Python の起動を待たずに読み出しだけ始める（ダウンロードは起こらない）
+  isFontCached().then((cached) => {
+    if (cached) startFont();
+  });
   if (window.mplgui) handlePythonReady();
   else window.addEventListener("mplgui-ready", handlePythonReady, { once: true });
 };
diff --git a/tests/e2e/test_render_pipeline.py b/tests/e2e/test_render_pipeline.py
new file mode 100644
index 0000000..1ce0747
--- /dev/null
+++ b/tests/e2e/test_render_pipeline.py
@@ -0,0 +1,116 @@
+"""A3（描画の合体・世代）、A4（起動中の操作の保持）、B5（進捗・描画中表示）。"""
+import time
+
+import pytest
+
+from helpers import (
+    image_generation,
+    load_fixture,
+    plot_src,
+    render_generation,
+    status_kind,
+    status_text,
+    wait_app_ready,
+    wait_data_ready,
+    wait_settled,
+)
+
+pytestmark = pytest.mark.e2e
+
+FINAL_TITLE = "最終タイトル"
+
+
+def _reference_image(page, app_url, fixture, apply):
+    """リロードして、同じ最終設定を1段ずつ待ちながら作った画像（Agg の出力は決定的）。"""
+    page.goto(app_url)
+    wait_app_ready(page)
+    load_fixture(page, fixture)
+    wait_settled(page)
+    apply(page)
+    wait_settled(page)
+    return plot_src(page)
+
+
+def test_rapid_changes_coalesce_and_final_image_matches_final_settings(page, app_url, fixtures_dir, console_log):
+    fixture = fixtures_dir / "utf8.csv"
+    page.goto(app_url)
+    wait_app_ready(page)
+    load_fixture(page, fixture)
+    wait_settled(page)
+    first_src = plot_src(page)
+    page.evaluate(
+        """() => {
+          window.__busy = [];
+          new MutationObserver(() => window.__busy.push(document.getElementById('plotPanel').getAttribute('aria-busy')))
+            .observe(document.getElementById('plotPanel'), { attributes: true, attributeFilter: ['aria-busy'] });
+        }"""
+    )
+
+    # 待たずに5回、続けて間隔をあけて5回（描画の最中にも変更が入る）
+    page.evaluate(
+        """async (finalTitle) => {
+          const el = document.getElementById('title');
+          const set = (v) => { el.value = v; el.dispatchEvent(new Event('input', { bubbles: true })); };
+          for (let i = 1; i <= 5; i++) set('T' + i);
+          for (let i = 1; i <= 4; i++) { set('S' + i); await new Promise((r) => setTimeout(r, 280)); }
+          set(finalTitle);
+        }""",
+        FINAL_TITLE,
+    )
+    wait_settled(page)
+    assert status_kind(page) == "ok", status_text(page)
+    assert image_generation(page) == render_generation(page)  # 表示中の画像は最新の要求のもの
+    final_src = plot_src(page)
+    assert final_src != first_src
+    busy = page.evaluate("window.__busy")
+    assert "true" in busy and busy[-1] == "false"  # aria-busy が描画中に立ち、終わると戻る
+
+    ref = _reference_image(page, app_url, fixture, lambda p: p.fill("#title", FINAL_TITLE))
+    assert ref == final_src
+
+
+def test_actions_during_startup_are_kept_and_applied_once(page, app_url, fixtures_dir, console_log):
+    fixture = fixtures_dir / "utf8.csv"
+    held = []
+    page.route("**/pyscript.toml", lambda route: held.append(route))  # Python の起動を保留する
+    page.goto(app_url)
+    assert page.evaluate("document.documentElement.dataset.appState") == "starting"
+    assert "Python 実行環境を読み込み中" in page.inner_text("#progress")
+
+    page.set_input_files("#fileInput", str(fixture))
+    page.select_option("#plotType", "scatter")
+    page.fill("#title", "起動中に入力")
+    page.wait_for_timeout(600)  # デバウンスが切れても、起動前は何も走らない
+    assert page.evaluate("document.documentElement.dataset.dataState") == "loading"
+    assert "utf8.csv" in page.inner_text("#fileNameLabel")
+    assert plot_src(page) == ""
+
+    deadline = time.time() + 30
+    while not held and time.time() < deadline:
+        page.wait_for_timeout(100)
+    assert held, "pyscript.toml の要求が来ていない"
+    for route in held:
+        route.continue_()
+
+    wait_app_ready(page)
+    page.unroute("**/pyscript.toml")
+    wait_data_ready(page)
+    wait_settled(page)
+    assert status_kind(page) == "ok", status_text(page)
+    assert render_generation(page) == "1" and image_generation(page) == "1"  # 起動後の描画は1回だけ
+    assert page.eval_on_selector("#series-s1-marker-size", "e => e.value") == "24"  # scatter が反映されている
+    src = plot_src(page)
+
+    def apply(p):
+        p.select_option("#plotType", "scatter")
+        wait_settled(p)
+        p.fill("#title", "起動中に入力")
+
+    assert _reference_image(page, app_url, fixture, apply) == src
+
+
+def test_progress_banner_hides_after_startup(page, app_url, console_log):
+    page.goto(app_url)
+    wait_app_ready(page)
+    page.wait_for_function("['ready','failed'].includes(document.documentElement.dataset.fontState)")
+    page.wait_for_function("document.getElementById('progress').hidden")

From 246bafd7c41068a77d6d1f0758a2fe0c79b4cbb5 Mon Sep 17 00:00:00 2001
From: mioupa <mioupa.org@gmail.com>
Date: Wed, 7 Oct 2026 18:45:56 +0900
Subject: [PATCH 19/37] Status kinds, ARIA tabs/labels (B6), render-busy state,
 B7 tests

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---
 css/style.css                     | 106 ++++++++++++++++++++++++++++--
 index.html                        |  28 ++++----
 js/main.js                        |   6 +-
 js/ui/notify.js                   |  40 +++++++++--
 js/ui/series.js                   |   5 +-
 js/ui/tabs.js                     |  23 +++++--
 tests/e2e/helpers.py              |  31 +++++++++
 tests/e2e/test_a11y_and_series.py |  73 ++++++++++++++++++++
 8 files changed, 281 insertions(+), 31 deletions(-)
 create mode 100644 tests/e2e/test_a11y_and_series.py

diff --git a/css/style.css b/css/style.css
index f30b84e..13946ed 100644
--- a/css/style.css
+++ b/css/style.css
@@ -30,9 +30,13 @@
   --error-text: #d20f39;
   --status-ok: #4c4f69;
   --status-error: #d20f39;
+  --status-warning: #8a5300;
+  --status-info: #5c5f77;
+  --warning-bg: rgba(223, 142, 29, 0.14);
+  --busy-bg: rgba(239, 241, 245, 0.72);
   --table-header-bg: #e6e9ef;
-  --table-skipped-bg: #dce0e8;
-  --table-skipped-text: #6c6f85;
+  --table-skipped-bg: #ccd0da;
+  --table-skipped-text: #8c8fa1;
   --table-rownum-bg: #e6e9ef;
   --table-rownum-text: #6c6f85;
   --series-item-bg: #e6e9ef;
@@ -74,9 +78,13 @@
     --error-text: #f5c2e7;
     --status-ok: #cdd6f4;
     --status-error: #f38ba8;
+    --status-warning: #f9e2af;
+    --status-info: #bac2de;
+    --warning-bg: rgba(249, 226, 175, 0.12);
+    --busy-bg: rgba(24, 24, 37, 0.7);
     --table-header-bg: #313244;
-    --table-skipped-bg: #181825;
-    --table-skipped-text: #a6adc8;
+    --table-skipped-bg: #0f0f17;
+    --table-skipped-text: #7f849c;
     --table-rownum-bg: #313244;
     --table-rownum-text: #a6adc8;
     --series-item-bg: #313244;
@@ -252,6 +260,88 @@ button.secondary:hover {
   min-height: 22px;
   font-size: 13px;
 }
+.status[data-kind="ok"] {
+  color: var(--status-ok);
+}
+.status[data-kind="warning"] {
+  color: var(--status-warning);
+}
+.status[data-kind="error"] {
+  color: var(--status-error);
+  font-weight: 600;
+}
+.status[data-kind="info"] {
+  color: var(--status-info);
+}
+.status[data-kind="ok"]::before {
+  content: "\2713  ";
+}
+.status[data-kind="error"]::before {
+  content: "\2715  ";
+}
+.status[data-kind="warning"] {
+  padding: 6px 8px;
+  border-left: 3px solid var(--status-warning);
+  border-radius: 4px;
+  background: var(--warning-bg);
+}
+.status-warning-item {
+  color: var(--status-warning);
+}
+.status-warning-item::before {
+  content: "\26A0  ";
+}
+.file-info {
+  margin-top: 4px;
+  font-size: 12px;
+  color: var(--text-muted);
+  word-break: break-all;
+}
+.file-info:empty {
+  display: none;
+}
+.progress-banner {
+  margin-bottom: 10px;
+  padding: 6px 12px;
+  border: 1px solid var(--line);
+  border-radius: 8px;
+  background: var(--surface);
+  color: var(--status-info);
+  font-size: 13px;
+}
+.progress-banner[hidden] {
+  display: none;
+}
+#plotPanel {
+  position: relative;
+}
+.render-busy {
+  position: absolute;
+  top: 20px;
+  right: 20px;
+  z-index: 5;
+  padding: 4px 12px;
+  border-radius: 999px;
+  background: var(--busy-bg);
+  border: 1px solid var(--line);
+  color: var(--text);
+  font-size: 13px;
+  font-weight: 700;
+  opacity: 0;
+  animation: busy-in 0.15s ease-out 0.2s forwards; /* 短い描画では出さない */
+}
+.render-busy[hidden] {
+  display: none;
+}
+@keyframes busy-in {
+  to {
+    opacity: 1;
+  }
+}
+#plotPanel[aria-busy="true"] #plotArea {
+  opacity: 0.6;
+  transition: opacity 0.15s ease-out 0.2s;
+}
 .status-detail-wrap {
   margin-top: 8px;
   border: 1px solid var(--error-border);
@@ -434,9 +524,15 @@ button.secondary:hover {
   gap: 8px;
   margin-bottom: 8px;
 }
-.series-toolbar label {
+.series-toolbar label,
+.series-toolbar .field-label {
   margin: 0;
 }
+.field-label {
+  display: block;
+  font-size: 13px;
+  font-weight: 600;
+}
 button.small-btn {
   width: auto;
   padding: 7px 10px;
diff --git a/index.html b/index.html
index 89cbc66..5621fb3 100644
--- a/index.html
+++ b/index.html
@@ -26,6 +26,8 @@ <h1>Matplotlib GUI</h1>
         <div class="group">
           <label for="fileInput">入力ファイル (.xlsx/.csv/.txt)</label>
           <input id="fileInput" type="file" accept=".xlsx,.csv,.txt" />
+          <div id="fileNameLabel" class="file-info"></div>
+          <div id="encodingLabel" class="file-info"></div>
         </div>
 
         <div class="group">
@@ -67,10 +69,10 @@ <h1>Matplotlib GUI</h1>
 
         <div class="group">
           <div class="series-toolbar">
-            <label>描画系列</label>
+            <span id="seriesLabel" class="field-label">描画系列</span>
             <button id="addSeriesBtn" class="small-btn secondary" type="button">+ 系列を追加</button>
           </div>
-          <div id="seriesList" class="series-list"></div>
+          <div id="seriesList" class="series-list" role="group" aria-labelledby="seriesLabel"></div>
           <div class="help-text">系列ごとにX/Y列・色・線幅・線種・点サイズ・第2軸使用を設定できます。</div>
         </div>
 
@@ -247,7 +249,7 @@ <h1>Matplotlib GUI</h1>
           </div>
         </div>
 
-        <div id="status" class="status"></div>
+        <div id="status" class="status" role="status" aria-live="polite"></div>
         <details id="statusDetailWrap" class="status-detail-wrap hidden">
           <summary>内部エラー詳細</summary>
           <pre id="statusDetail" class="status-detail"></pre>
@@ -255,18 +257,20 @@ <h1>Matplotlib GUI</h1>
       </aside>
 
       <main class="viewer">
-        <div class="tabs">
-          <button id="tabPlotBtn" class="tab-btn active" type="button">プロット</button>
-          <button id="tabDataBtn" class="tab-btn" type="button">データ確認</button>
-          <button id="tabCodeBtn" class="tab-btn" type="button">Pythonコード(beta)</button>
+        <div id="progress" class="progress-banner" role="status" aria-live="polite"></div>
+        <div class="tabs" role="tablist" aria-label="表示の切り替え">
+          <button id="tabPlotBtn" class="tab-btn active" type="button" role="tab" aria-selected="true" aria-controls="plotPanel">プロット</button>
+          <button id="tabDataBtn" class="tab-btn" type="button" role="tab" aria-selected="false" aria-controls="dataPanel" tabindex="-1">データ確認</button>
+          <button id="tabCodeBtn" class="tab-btn" type="button" role="tab" aria-selected="false" aria-controls="codePanel" tabindex="-1">Pythonコード(beta)</button>
         </div>
-        <div id="plotPanel" class="canvas-wrap tab-panel">
-          <div id="plotArea"></div>
+        <div id="plotPanel" class="canvas-wrap tab-panel" role="tabpanel" aria-labelledby="tabPlotBtn" aria-busy="false">
+          <div id="renderBusy" class="render-busy" hidden>描画中…</div>
+          <div id="plotArea" aria-busy="false"></div>
         </div>
-        <div id="dataPanel" class="canvas-wrap tab-panel hidden">
+        <div id="dataPanel" class="canvas-wrap tab-panel hidden" role="tabpanel" aria-labelledby="tabDataBtn">
           <div id="dataArea"></div>
         </div>
-        <div id="codePanel" class="canvas-wrap tab-panel hidden">
+        <div id="codePanel" class="canvas-wrap tab-panel hidden" role="tabpanel" aria-labelledby="tabCodeBtn">
           <div class="code-editor-wrap">
             <div class="code-toolbar">
               <div class="inline">
@@ -276,7 +280,7 @@ <h1>Matplotlib GUI</h1>
               <button id="applyCustomCodeBtn" class="small-btn secondary" type="button">コードを反映して再描画</button>
               <button id="resetCustomCodeBtn" class="small-btn ghost-btn" type="button">初期コードに戻す</button>
             </div>
-            <textarea id="customPyCode" spellcheck="false"></textarea>
+            <textarea id="customPyCode" spellcheck="false" aria-label="Pythonコード"></textarea>
             <div class="help-text">
               有効時はこのコードで描画します。<code>df</code>・<code>settings</code>・<code>plt</code>・<code>pd</code> が利用可能です。<code>fig</code> を必ず生成してください。Ctrl/Cmd + Enter でも再描画できます。
             </div>
diff --git a/js/main.js b/js/main.js
index 7baba3c..ff548c9 100644
--- a/js/main.js
+++ b/js/main.js
@@ -11,7 +11,11 @@ import { bindTabs } from "./ui/tabs.js";
 
 const fileInput = document.getElementById("fileInput");
 if (fileInput) {
-  fileInput.addEventListener("change", () => selectFile(fileInput.files && fileInput.files[0]));
+  fileInput.addEventListener("change", () => {
+    const file = fileInput.files && fileInput.files[0];
+    selectFile(file); // File は bridge.js が保持する（再読込用）
+    fileInput.value = ""; // 空に戻すので、同じファイルをもう一度選んでも change が起きて再読込される
+  });
 }
 const savePlotBtn = document.getElementById("savePlotBtn");
 if (savePlotBtn) savePlotBtn.addEventListener("click", () => saveNow());
diff --git a/js/ui/notify.js b/js/ui/notify.js
index 8654872..b608a70 100644
--- a/js/ui/notify.js
+++ b/js/ui/notify.js
@@ -1,16 +1,30 @@
-// ステータス表示。
-export const setStatus = (message, isError = false, detail = "") => {
+// ステータス表示（#status）。種別: ok（成功）/ warning（警告）/ error（エラー）/ info（進行中など）。
+// 日本語フォント取得失敗のような「セッション中ずっと有効な警告」は sticky として保持し、後続の表示にも添える。
+const stickyWarnings = [];
+let last = { message: "", kind: "", detail: "", warnings: [] };
+
+const paint = () => {
   const status = document.getElementById("status");
   if (status) {
-    status.textContent = message || "";
-    status.dataset.kind = !message ? "" : isError ? "error" : "ok";
-    status.style.color = isError ? "var(--status-error)" : "var(--status-ok)";
+    const warnings = [...last.warnings, ...stickyWarnings];
+    let kind = last.kind;
+    if (kind !== "error" && warnings.length > 0) kind = "warning";
+    if (!last.message && warnings.length === 0) kind = "";
+    status.dataset.kind = kind;
+    status.replaceChildren();
+    if (last.message) status.appendChild(document.createTextNode(last.message));
+    for (const text of warnings) {
+      const item = document.createElement("div");
+      item.className = "status-warning-item";
+      item.textContent = text;
+      status.appendChild(item);
+    }
   }
 
   const detailWrap = document.getElementById("statusDetailWrap");
   const detailEl = document.getElementById("statusDetail");
   if (!detailWrap || !detailEl) return;
-  const normalized = typeof detail === "string" ? detail.trim() : "";
+  const normalized = typeof last.detail === "string" ? last.detail.trim() : "";
   if (normalized) {
     detailEl.textContent = normalized;
     detailWrap.classList.remove("hidden");
@@ -21,3 +35,17 @@ export const setStatus = (message, isError = false, detail = "") => {
     detailWrap.open = false;
   }
 };
+
+// warnings: 文字列の配列（成功メッセージと一緒に警告として表示する）
+export const setStatus = (message, kind = "ok", detail = "", warnings = []) => {
+  last = { message: message || "", kind, detail, warnings };
+  paint();
+};
+
+export const addStickyWarning = (message) => {
+  if (!stickyWarnings.includes(message)) stickyWarnings.push(message);
+  paint();
+};
+
+// {message, series?} の配列 → 表示用の文字列配列
+export const warningTexts = (warnings) => (warnings || []).map((w) => (typeof w === "string" ? w : w.message)).filter(Boolean);
diff --git a/js/ui/series.js b/js/ui/series.js
index 36333a3..d8220c2 100644
--- a/js/ui/series.js
+++ b/js/ui/series.js
@@ -30,7 +30,7 @@ const cardHtml = (series, plotType) => {
   return `
     <div class="series-item-header">
       <div class="series-item-title">系列</div>
-      <button type="button" class="small-btn ghost-btn remove-series">削除</button>
+      <button type="button" id="${id("remove")}" class="small-btn ghost-btn remove-series">削除</button>
     </div>
     <div class="row group">
       <div class="series-x-wrap">
@@ -84,7 +84,7 @@ const cardHtml = (series, plotType) => {
     </div>
     <div class="group">
       <label class="inline check-label">
-        <input class="series-use-y2" type="checkbox" ${series.secondaryAxis ? "checked" : ""} />
+        <input id="${id("use-y2")}" class="series-use-y2" type="checkbox" ${series.secondaryAxis ? "checked" : ""} />
         <span>第2軸を使用</span>
       </label>
     </div>
@@ -142,6 +142,7 @@ export const renderSeriesList = () => {
     const removeBtn = item.querySelector(".remove-series");
     const disable = items.length <= 1;
     removeBtn.disabled = disable;
+    removeBtn.setAttribute("aria-label", `系列 ${idx + 1} を削除`);
     removeBtn.style.opacity = disable ? "0.5" : "1";
     removeBtn.style.cursor = disable ? "not-allowed" : "pointer";
   });
diff --git a/js/ui/tabs.js b/js/ui/tabs.js
index 453be67..f46887f 100644
--- a/js/ui/tabs.js
+++ b/js/ui/tabs.js
@@ -1,4 +1,4 @@
-// 「プロット / データ確認 / Pythonコード(beta)」のタブ切替。
+// 「プロット / データ確認 / Pythonコード(beta)」のタブ切替（WAI-ARIA tabs。矢印キーでも移動できる）。
 const TABS = [
   ["plot", "tabPlotBtn", "plotPanel"],
   ["data", "tabDataBtn", "dataPanel"],
@@ -10,15 +10,28 @@ export const switchTab = (selected) => {
     const on = name === selected;
     const btn = document.getElementById(btnId);
     const panel = document.getElementById(panelId);
-    if (btn) btn.classList.toggle("active", on);
+    if (btn) {
+      btn.classList.toggle("active", on);
+      btn.setAttribute("aria-selected", on ? "true" : "false");
+      btn.tabIndex = on ? 0 : -1;
+    }
     if (panel) panel.classList.toggle("hidden", !on);
   }
 };
 
 export const bindTabs = () => {
-  for (const [name, btnId] of TABS) {
+  TABS.forEach(([name, btnId], idx) => {
     const btn = document.getElementById(btnId);
-    if (btn) btn.addEventListener("click", () => switchTab(name));
-  }
+    if (!btn) return;
+    btn.addEventListener("click", () => switchTab(name));
+    btn.addEventListener("keydown", (event) => {
+      const step = event.key === "ArrowRight" ? 1 : event.key === "ArrowLeft" ? -1 : 0;
+      if (!step) return;
+      event.preventDefault();
+      const [nextName, nextBtnId] = TABS[(idx + step + TABS.length) % TABS.length];
+      switchTab(nextName);
+      document.getElementById(nextBtnId).focus();
+    });
+  });
   switchTab("plot");
 };
diff --git a/tests/e2e/helpers.py b/tests/e2e/helpers.py
index 6d56e49..01fa83d 100644
--- a/tests/e2e/helpers.py
+++ b/tests/e2e/helpers.py
@@ -96,3 +96,34 @@ def save_plot(page, timeout=120_000):
     with page.expect_download(timeout=timeout) as dl:
         page.click("#savePlotBtn")
     return dl.value
+
+
+# --- Step 5a で追加した信号 ---
+# data-font-state: "idle" | "loading" | "ready" | "failed"（日本語フォント）
+# data-load-count: 読込が成功した回数
+FONT_DONE_JS = "['ready','failed'].includes(document.documentElement.dataset.fontState)"
+STATUS_WARNINGS_JS = "[...document.querySelectorAll('#status .status-warning-item')].map(e => e.textContent)"
+
+
+def wait_font_done(page, timeout=180_000):
+    page.wait_for_function(FONT_DONE_JS, timeout=timeout)
+
+
+def load_count(page) -> int:
+    return int(page.evaluate("document.documentElement.dataset.loadCount || '0'"))
+
+
+def wait_load_count(page, n, timeout=120_000):
+    page.wait_for_function(f"Number(document.documentElement.dataset.loadCount) >= {int(n)}", timeout=timeout)
+
+
+def render_generation(page) -> str:
+    return page.evaluate("document.documentElement.dataset.renderGeneration || ''")
+
+
+def image_generation(page) -> str:
+    return page.evaluate("(document.querySelector('#plotArea img') || {dataset: {}}).dataset.generation || ''")
+
+
+def status_warnings(page) -> list[str]:
+    return page.evaluate(STATUS_WARNINGS_JS)
diff --git a/tests/e2e/test_a11y_and_series.py b/tests/e2e/test_a11y_and_series.py
new file mode 100644
index 0000000..4ebf6ff
--- /dev/null
+++ b/tests/e2e/test_a11y_and_series.py
@@ -0,0 +1,73 @@
+"""B6（アクセシビリティ属性）と B7（系列の既定色・点サイズ）。"""
+import pytest
+
+from helpers import wait_app_ready
+
+pytestmark = pytest.mark.e2e
+
+
+def test_tabs_and_labels_accessibility(page, app_url, console_log):
+    page.goto(app_url)
+    assert page.get_attribute(".tabs", "role") == "tablist"
+    tabs = [("tabPlotBtn", "plotPanel"), ("tabDataBtn", "dataPanel"), ("tabCodeBtn", "codePanel")]
+    for btn, panel in tabs:
+        assert page.get_attribute(f"#{btn}", "role") == "tab"
+        assert page.get_attribute(f"#{btn}", "aria-controls") == panel
+        assert page.get_attribute(f"#{panel}", "role") == "tabpanel"
+        assert page.get_attribute(f"#{panel}", "aria-labelledby") == btn
+    assert [page.get_attribute(f"#{b}", "aria-selected") for b, _ in tabs] == ["true", "false", "false"]
+    page.click("#tabDataBtn")
+    assert [page.get_attribute(f"#{b}", "aria-selected") for b, _ in tabs] == ["false", "true", "false"]
+    assert not page.is_visible("#plotPanel") and page.is_visible("#dataPanel")
+    page.focus("#tabDataBtn")
+    page.keyboard.press("ArrowRight")
+    assert page.get_attribute("#tabCodeBtn", "aria-selected") == "true"
+    assert page.evaluate("document.activeElement.id") == "tabCodeBtn"
+
+    assert page.get_attribute("#status", "aria-live") == "polite"
+
+    page.click("#addSeriesBtn")  # 系列が2つの状態でも全入力欄にラベルがある
+    unlabeled = page.evaluate(
+        """() => [...document.querySelectorAll('input, select, textarea')]
+          .filter((el) => !(el.labels && el.labels.length) && !el.getAttribute('aria-label'))
+          .map((el) => el.id || el.className)"""
+    )
+    assert unlabeled == []
+    ids = page.evaluate("[...document.querySelectorAll('[id]')].map(e => e.id)")
+    assert len(ids) == len(set(ids))  # id の重複なし（系列カードは系列 id で一意）
+    assert page.get_attribute("label[for='series-s2-x']", "for") == "series-s2-x"
+
+
+def test_new_series_default_color_is_first_unused(page, app_url, console_log):
+    page.goto(app_url)
+    colors = lambda: page.eval_on_selector_all("#seriesList .series-color-value", "els => els.map(e => e.textContent)")  # noqa: E731
+    assert colors() == ["#FF4B00"]
+    page.click("#series-s1-color-trigger")
+    page.click(".series-color-chip[data-color='#005AFF']")
+    page.click("#addSeriesBtn")
+    assert colors() == ["#005AFF", "#FF4B00"]  # 空いた先頭色
+    page.click("#addSeriesBtn")
+    assert colors() == ["#005AFF", "#FF4B00", "#03AF7A"]
+    page.click("#series-s2-remove")
+    page.click("#addSeriesBtn")
+    assert colors()[-1] == "#FF4B00"
+
+
+def test_marker_size_auto_follows_plot_type_until_user_edits(page, app_url, console_log):
+    page.goto(app_url)
+    value = lambda: page.eval_on_selector("#series-s1-marker-size", "e => e.value")  # noqa: E731
+    assert value() == "0"
+    page.select_option("#plotType", "scatter")
+    assert value() == "24"
+    page.select_option("#plotType", "line")
+    assert value() == "0"  # 自動値は種別に追従する（24 のまま残らない）
+
+    page.fill("#series-s1-marker-size", "24")  # ユーザー入力は line でも 24 のまま保持される
+    page.select_option("#plotType", "scatter")
+    assert value() == "24"
+    page.select_option("#plotType", "line")
+    assert value() == "24"
+    page.fill("#series-s1-marker-size", "10")
+    page.select_option("#plotType", "scatter")
+    page.select_option("#plotType", "line")
+    assert value() == "10"

From b220934ec963c7e85b8e03bb3433c244af9eda3d Mon Sep 17 00:00:00 2001
From: mioupa <mioupa.org@gmail.com>
Date: Wed, 7 Oct 2026 18:52:38 +0900
Subject: [PATCH 20/37] A5: detect UTF-8 BOM / CP932 / EUC-JP and report the
 encoding

Decide the encoding on raw bytes, then parse decoded text. Japanese
errors for parser/empty/xlsx/delimiter failures. Add euc_jp.csv fixture
and make multi_sheet.xlsx generation deterministic.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---
 py/mplgui/loader.py             | 103 ++++++++++++++++++++++++--------
 tests/fixtures/README.md        |   1 +
 tests/fixtures/euc_jp.csv       |  31 ++++++++++
 tests/fixtures/make_fixtures.py |  30 ++++++++++
 tests/fixtures/multi_sheet.xlsx | Bin 6382 -> 6379 bytes
 tests/unit/test_loader.py       |  88 +++++++++++++++++++++++++--
 6 files changed, 223 insertions(+), 30 deletions(-)
 create mode 100644 tests/fixtures/euc_jp.csv

diff --git a/py/mplgui/loader.py b/py/mplgui/loader.py
index 36e9e74..a1bbc75 100644
--- a/py/mplgui/loader.py
+++ b/py/mplgui/loader.py
@@ -1,7 +1,9 @@
 """ファイルのバイト列から DataFrame を作り、列の選択肢とプレビューを返す（DOM / js には依存しない）。"""
 from __future__ import annotations
 
+import csv
 import io
+import re
 from dataclasses import dataclass
 from pathlib import Path
 
@@ -21,54 +23,107 @@ class LoadedData:
 
 def decode_delimiter(delimiter: str, suffix: str) -> str:
     if delimiter:
-        return bytes(delimiter, "utf-8").decode("unicode_escape")
+        try:
+            return bytes(delimiter, "utf-8").decode("unicode_escape")
+        except UnicodeDecodeError as exc:
+            raise UserError(
+                "「区切り文字」のエスケープ表記が正しくありません。\\t（タブ）のように書くか、記号をそのまま入力してください。",
+                field="区切り文字",
+                detail=str(exc),
+            ) from exc
     if suffix == ".csv":
         return ","
     return r"\s+"
 
 
+_BOM_UTF8 = b"\xef\xbb\xbf"
+
+
+def _suspicion(text: str) -> int:
+    """文字化けらしさ。半角カナ・私用領域・置換文字・制御文字の数（少ないほど自然な日本語）。"""
+    n = 0
+    for ch in text:
+        o = ord(ch)
+        if 0xFF61 <= o <= 0xFF9F or 0xE000 <= o <= 0xF8FF or o == 0xFFFD:
+            n += 1
+        elif o < 0x20 and ch not in "\t\r\n":
+            n += 1
+        elif 0x7F <= o <= 0x9F:
+            n += 1
+    return n
+
+
+def detect_encoding(data: bytes) -> tuple[str, str]:
+    """バイト列から文字コードを決め、(コード, デコード済みテキスト) を返す。
+
+    順序: BOM 付き UTF-8 → UTF-8 → CP932 / EUC-JP。
+    CP932 と EUC-JP の両方で厳密にデコードできる場合は、半角カナ等の「文字化けらしい文字」が
+    少ないほうを採用し、同数なら CP932 を優先する。
+    """
+    if data.startswith(_BOM_UTF8):
+        try:
+            return "utf-8-sig", data.decode("utf-8-sig")
+        except UnicodeDecodeError:
+            pass  # BOM の後ろが UTF-8 でない場合は他の候補へ
+    else:
+        try:
+            return "utf-8", data.decode("utf-8")
+        except UnicodeDecodeError:
+            pass
+
+    candidates = []
+    for code in ("cp932", "euc-jp"):  # 同点のときは先に並べたほうが勝つ
+        try:
+            candidates.append((code, data.decode(code)))
+        except UnicodeDecodeError:
+            continue
+    if not candidates:
+        raise UserError(
+            "文字コードを判定できませんでした（UTF-8 / Shift_JIS(CP932) / EUC-JP のいずれでもありません）。"
+            "ファイルを UTF-8 で保存し直してから読み込んでください。",
+            field="入力ファイル",
+        )
+    return min(candidates, key=lambda c: _suspicion(c[1]))  # min は同点で先頭を返す
+
+
 def load_file(file_bytes: bytes, filename: str, delimiter: str, has_header: bool) -> LoadedData:
     suffix = Path(filename).suffix.lower()
     if suffix not in SUPPORTED:
         raise UserError("対応していない拡張子です。xlsx/csv/txtを選択してください。", field="入力ファイル")
 
     header = 0 if has_header else None
-    stream = io.BytesIO(file_bytes)
     used_encoding: str | None = None
 
     try:
         if suffix == ".xlsx":
-            df = pd.read_excel(stream, header=header)
+            try:
+                df = pd.read_excel(io.BytesIO(file_bytes), header=header)
+            except Exception as exc:
+                raise UserError(
+                    "Excelファイル（.xlsx）を読み込めませんでした。ファイルが壊れていないか、パスワードが掛かっていないかを確認し、"
+                    "Excelで開いて .xlsx で保存し直してください。",
+                    field="入力ファイル",
+                    detail=f"{type(exc).__name__}: {exc}",
+                ) from exc
         else:
             sep = decode_delimiter(delimiter, suffix)
-            # UTF-8 で読めなければ Shift-JIS にフォールバック（A5 で見直す）
-            df = None
-            for enc in ("utf-8", "shift_jis"):
-                try:
-                    stream.seek(0)
-                    df = pd.read_csv(stream, sep=sep, header=header, engine="python", encoding=enc)
-                    used_encoding = enc
-                    break
-                except UnicodeDecodeError:
-                    if enc == "shift_jis":
-                        raise UserError(
-                            "文字コードを判定できませんでした。UTF-8 または Shift-JIS で保存し直してください。",
-                            field="入力ファイル",
-                        )
-                    continue
+            used_encoding, text = detect_encoding(file_bytes)
+            df = pd.read_csv(io.StringIO(text), sep=sep, header=header, engine="python")
     except UserError:
         raise
-    except pd.errors.ParserError as exc:
+    except pd.errors.EmptyDataError as exc:
+        raise UserError("ファイルにデータがありません。内容のあるファイルを選択してください。", field="入力ファイル") from exc
+    except (pd.errors.ParserError, ValueError, re.error, csv.Error) as exc:
+        # 列数の不整合、区切り文字が正規表現として不正、など
         raise UserError(
-            "ファイルを表として読み込めませんでした。区切り文字や行の形式を確認してください。",
+            "ファイルを表として読み込めませんでした。「区切り文字」の設定（正規表現として正しいか）や、"
+            "行ごとの列数が揃っているかを確認してください。",
             field="区切り文字",
-            detail=str(exc),
+            detail=f"{type(exc).__name__}: {exc}",
         ) from exc
-    except pd.errors.EmptyDataError as exc:
-        raise UserError("データが空です。", field="入力ファイル") from exc
 
     if df.empty:
-        raise UserError("データが空です。", field="入力ファイル")
+        raise UserError("ファイルにデータ行がありません。ヘッダ行だけでなく、データ行を含むファイルを選択してください。", field="入力ファイル")
 
     if not has_header:
         df.columns = [f"column_{i}" for i in range(len(df.columns))]
diff --git a/tests/fixtures/README.md b/tests/fixtures/README.md
index 9ac4428..438b8dc 100644
--- a/tests/fixtures/README.md
+++ b/tests/fixtures/README.md
@@ -7,6 +7,7 @@
 | `utf8.csv` | UTF-8、カンマ区切り、ヘッダ行あり。列名は 時間 / 電圧 / 電流（基本ケース） |
 | `utf8_bom.csv` | BOM 付き UTF-8。先頭列名に不可視文字が残らないか |
 | `cp932.csv` | cp932。機種依存文字（①、㈱）を含み、厳密な shift_jis では読めない |
+| `euc_jp.csv` | EUC-JP（漢字・ひらがな含む備考列つき）。cp932 と誤判定されないこと |
 | `tab.txt` | タブ区切りのテキスト |
 | `multi_sheet.xlsx` | 2 シート（Sheet1 / 二枚目）で内容が異なる |
 | `duplicate_columns.csv` | 同名の列（温度）が 2 つあり値が異なる（列番号指定の確認） |
diff --git a/tests/fixtures/euc_jp.csv b/tests/fixtures/euc_jp.csv
new file mode 100644
index 0000000..24c7b92
--- /dev/null
+++ b/tests/fixtures/euc_jp.csv
@@ -0,0 +1,31 @@
+����,�Ű�,��ή,����
+0.0,0.0,1.5,�̾�
+0.1,0.1987,1.4777,¬�곫��
+0.2,0.3894,1.4127,�۾�ʤ�
+0.3,0.5646,1.3108,��¬��
+0.4,0.7174,1.1812,�̾�
+0.5,0.8415,1.0354,¬�곫��
+0.6,0.932,0.8864,�۾�ʤ�
+0.7,0.9854,0.7476,��¬��
+0.8,0.9996,0.6313,�̾�
+0.9,0.9738,0.548,¬�곫��
+1.0,0.9093,0.505,�۾�ʤ�
+1.1,0.8085,0.5063,��¬��
+1.2,0.6755,0.5516,�̾�
+1.3,0.5155,0.637,¬�곫��
+1.4,0.335,0.7549,�۾�ʤ�
+1.5,0.1411,0.8946,��¬��
+1.6,-0.0584,1.0437,�̾�
+1.7,-0.2555,1.189,¬�곫��
+1.8,-0.4425,1.3173,�۾�ʤ�
+1.9,-0.6119,1.4174,��¬��
+2.0,-0.7568,1.4801,�̾�
+2.1,-0.8716,1.4999,¬�곫��
+2.2,-0.9516,1.4751,�۾�ʤ�
+2.3,-0.9937,1.4079,��¬��
+2.4,-0.9962,1.3042,�̾�
+2.5,-0.9589,1.1733,¬�곫��
+2.6,-0.8835,1.027,�۾�ʤ�
+2.7,-0.7728,0.8782,��¬��
+2.8,-0.6313,0.7404,�̾�
+2.9,-0.4646,0.6257,¬�곫��
diff --git a/tests/fixtures/make_fixtures.py b/tests/fixtures/make_fixtures.py
index 8aebcc0..fd04108 100644
--- a/tests/fixtures/make_fixtures.py
+++ b/tests/fixtures/make_fixtures.py
@@ -3,6 +3,8 @@
 実行: uv run python tests/fixtures/make_fixtures.py
 """
 import math
+import re
+from datetime import datetime
 from pathlib import Path
 
 import openpyxl
@@ -25,6 +27,21 @@ def csv_text(header, data, sep=","):
     return "\n".join(lines) + "\n"
 
 
+def _normalize_zip(path):
+    """zip 内の更新時刻を固定する（openpyxl は保存時刻を書き込むため）。"""
+    import zipfile
+
+    with zipfile.ZipFile(path) as zf:
+        items = [(info.filename, zf.read(info.filename)) for info in zf.infolist()]
+    with zipfile.ZipFile(path, "w", zipfile.ZIP_DEFLATED) as out:
+        for name, data in items:
+            if name == "docProps/core.xml":
+                data = re.sub(rb"(<dcterms:(?:created|modified)[^>]*>)[^<]*", rb"\g<1>2026-01-01T00:00:00Z", data)
+            info = zipfile.ZipInfo(name, date_time=(2026, 1, 1, 0, 0, 0))
+            info.compress_type = zipfile.ZIP_DEFLATED
+            out.writestr(info, data)
+
+
 def main():
     data = rows()
     header = ["時間", "電圧", "電流"]
@@ -39,6 +56,14 @@ def main():
         lines.append(",".join(str(v) for v in r) + (",㈱テスト" if i % 5 == 0 else ",通常"))
     (OUT / "cp932.csv").write_bytes(("\n".join(lines) + "\n").encode("cp932"))
 
+    # EUC-JP（漢字・ひらがな・全角カタカナ。半角カナは含めない）
+    eu_header = ["時間", "電圧", "電流", "備考"]
+    eu_lines = [",".join(eu_header)]
+    notes = ["通常", "測定開始", "異常なし", "再測定"]
+    for i, r in enumerate(data):
+        eu_lines.append(",".join(str(v) for v in r) + "," + notes[i % len(notes)])
+    (OUT / "euc_jp.csv").write_bytes(("\n".join(eu_lines) + "\n").encode("euc-jp"))
+
     (OUT / "tab.txt").write_bytes(csv_text(header, data, sep="\t").encode("utf-8"))
 
     wb = openpyxl.Workbook()
@@ -51,7 +76,12 @@ def main():
     ws2.append(["x", "y", "z"])
     for i in range(20):
         ws2.append([i, i * i, 100 - i])
+    # 作成日時を固定して、再生成してもバイト列が変わらないようにする
+    fixed = datetime(2026, 1, 1)
+    wb.properties.created = fixed
+    wb.properties.modified = fixed
     wb.save(OUT / "multi_sheet.xlsx")
+    _normalize_zip(OUT / "multi_sheet.xlsx")
 
     dup = ["温度", "温度", "値"]
     # 同名列(温度)で値が異なる
diff --git a/tests/fixtures/multi_sheet.xlsx b/tests/fixtures/multi_sheet.xlsx
index 11fa64e44945ecdf4dc8f5109d60f0c96644356d..bb9bb528d58f249c5b8a443d3e1a9ce3b0e6cbf4 100644
GIT binary patch
delta 655
zcmaE7_}Y*!z?+#xgn@y91Bex4Ci3m)1kwCIi?W_iye40tb=ZKXEq>{bc_%y<vOoT{
zY13u4W>K>;<88NQ9qrs`I%(funf1Qr+ip9Ezx@Bz)9DgRVq1rQA&11t#3<i=uO}NM
zp7wKbWKbz~S|2=DwpNVa`OB;#seXYimDk-{rhVqEP{}pToY5E>(eb8fOPXU_{|(Uw
z(+1h9H=2&Y<^`XH>fPr5%h5RXXwIbQn8y~^9`E|`$&Gi9ot@3}r`p%mFYR?)w#4+1
z%M}wB(|D0{!RimA1LM-_MK7%T#Nzn8A-XIy?ppcozqY};`R1beMQ<#{Rqv%;>;ETx
zf&ZH99s7>(hDje@=f4t04TG66bCd<x7#QZLGcaua#%RdK0t%7M+8in@5LPhHYbFTG
ziN6xUn!I1|DMV<6P!%JXHCavM1w=?l)DJ3@B4&jM-pR|w%pfWsib*lvocu>jNdaWj
zp^%H}pO_gK^aL0fB!IC30}YH)9Fr4yL?;J}3o3vV+9Z8?xs!>3VFwqwLMI-eLaE8~
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z8Id}sy}5ZWkdc8Q8>o>VMdS3zwi0p>yW%CJ7)2*nNoXp7>{|LzIzk?(B>^ZYjG_go
RNI_I|@(l?Awm>nE3;;Jp#f|^~

delta 619
zcmaED_|A|oz?+#xgn@y9gF&I&J$54Beohe0_0lu+)x>M^^?rv9c-rDqU+pcumC5WH
zsi)xQ?35(b5&fhh+V!$qXW;Jb>blYFP147I{Qq+^Or)wacER!sm0U5wF+A%s7rX2~
z*>@(6$;D=p@kS4q*@tSy=REwv!~TKo{@KO_LP@-RHzE$Rxh1|!Pc93KnltsEvdQEF
zN&(J&QGEeosxgtv9@IaY&l_ws*?CR+s`tMa#rwtFTG4X-_}kB0YT~v}^zELKnHrd+
za5(nDW7mHsCS3bOuU38wZ+xTVJE7*&mXmrXPk(w>_kF@kuaMV!M0W1D*%=+Vc8Ng#
z;@9r~Ltj`$zkgjXq0hAT!S($w{ZWHqX3QLA0X7DPIh#K)ny|5eLS(ZBhYAaX6~ObF
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zaOK4%nHyy}CO3+UP7V+klm}UFll1B3P9_G19b60y62Rz!frduc$qnM_5RI$FrEE<2
z85k;Z^ovU>b5e`-DspoIycwB9m=RID-Tigf0ibp<plRGNV}Nu6<HpI15>iknNJufx
ynrtN@2jRv@NHIx>Og0pe(MC6J=|kxVc}50?1QrGcVHD$7ChwO}V+#=j2?79pG}MUz

diff --git a/tests/unit/test_loader.py b/tests/unit/test_loader.py
index a1eed94..7ad4ca6 100644
--- a/tests/unit/test_loader.py
+++ b/tests/unit/test_loader.py
@@ -27,17 +27,93 @@ def test_utf8_csv():
     assert loaded.encoding == "utf-8" and len(loaded.df) == 30
 
 
-def test_utf8_bom_csv_loads():
-    # BOM が列名に残らない対応は A5（Step 5）。ここでは読めて列数が正しいことだけ確認する
+@pytest.mark.parametrize(
+    "name, code",
+    [
+        ("utf8.csv", "utf-8"),
+        ("utf8_bom.csv", "utf-8-sig"),
+        ("cp932.csv", "cp932"),
+        ("euc_jp.csv", "euc-jp"),
+        ("tab.txt", "utf-8"),
+        ("duplicate_columns.csv", "utf-8"),
+        ("non_numeric.csv", "utf-8"),
+        ("multi_sheet.xlsx", None),
+    ],
+)
+def test_every_fixture_loads_with_expected_encoding(name, code):
+    loaded = _load(name)
+    assert loaded.encoding == code
+    assert len(loaded.df) > 0
+
+
+def test_utf8_bom_is_not_left_in_first_header():
     loaded = _load("utf8_bom.csv")
     assert loaded.df.shape == (30, 3)
+    assert list(loaded.df.columns) == ["時間", "電圧", "電流"]
+    assert "\ufeff" not in str(loaded.df.columns[0])
+
+
+def test_cp932_machine_dependent_characters_survive():
+    df = _load("cp932.csv").df
+    assert df.columns[0] == "時間①"
+    assert "㈱テスト" in set(df["備考"])
+
+
+def test_euc_jp_is_not_mistaken_for_cp932():
+    loaded = _load("euc_jp.csv")
+    assert loaded.encoding == "euc-jp"
+    assert list(loaded.df.columns) == ["時間", "電圧", "電流", "備考"]
+    assert "測定開始" in set(loaded.df["備考"])
+
+
+def test_ambiguous_bytes_prefer_the_plausible_candidate():
+    # 「あい」の EUC-JP は cp932 でも半角カナとして厳密にデコードできてしまう
+    data = "名前,値\nあい,1\nうえお,2\n".encode("euc-jp")
+    data.decode("cp932")  # 例外にならないこと（前提の確認）
+    assert load_file(data, "x.csv", "", True).encoding == "euc-jp"
+
+
+def test_ambiguous_tie_prefers_cp932():
+    # ASCII だけに近い短いバイト列など、どちらでも同じ見た目になる場合は cp932
+    from mplgui.loader import detect_encoding
+
+    assert detect_encoding("ｱ\n".encode("cp932"))[0] == "cp932"  # 半角カナ 1 文字: EUC-JP では 0x8E 付きの別表現
+
+
+def test_undecodable_bytes_give_japanese_error():
+    import random
+
+    rng = random.Random(0)
+    data = b"a,b\n" + bytes([0xFF, 0xFE, 0xFD] + [rng.choice([0xFF, 0xFF, 0x81, 0x41]) for _ in range(40)]) + b"\n"
+    with pytest.raises(UserError) as info:
+        load_file(data, "bad.csv", "", True)
+    msg = info.value.message
+    assert "文字コードを判定できませんでした" in msg and "UTF-8" in msg and "保存し直して" in msg
+
+
+def test_unparsable_csv_gives_japanese_error():
+    data = b"a,b\n1,2\n1,2,3,4,5\n6,7\n"
+    with pytest.raises(UserError) as info:
+        load_file(data, "ragged.csv", ",", True)
+    assert not info.value.message.isascii() and "Error" not in info.value.message
+
+
+def test_bad_regex_delimiter_gives_japanese_error():
+    with pytest.raises(UserError) as info:
+        load_file(b"a b\n1 2\n", "x.txt", "(a", True)
+    assert info.value.field == "区切り文字" and not info.value.message.isascii()
+
+
+def test_bad_delimiter_escape_gives_japanese_error():
+    with pytest.raises(UserError) as info:
+        decode_delimiter("\\x", ".csv")
+    assert info.value.field == "区切り文字"
 
 
-def test_cp932_fixture_is_not_supported_by_current_logic():
-    # 現行の文字コード判定（utf-8 → shift_jis）では機種依存文字を含む cp932 は読めない。A5 で対応する
+def test_broken_xlsx_gives_japanese_error():
     with pytest.raises(UserError) as info:
-        _load("cp932.csv")
-    assert "文字コード" in info.value.message
+        load_file(b"not a zip", "broken.xlsx", "", True)
+    assert "Excel" in info.value.message and info.value.detail
 
 
 def test_tab_txt_whitespace_auto():

From 728d336b10fd6d5ef0d9daf90673cd6528b997e1 Mon Sep 17 00:00:00 2001
From: mioupa <mioupa.org@gmail.com>
Date: Wed, 7 Oct 2026 18:53:18 +0900
Subject: [PATCH 21/37] A7: warn about values dropped as non-numeric

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---
 py/mplgui/plotting.py       | 85 ++++++++++++++++++++++++++++++++++---
 tests/unit/test_plotting.py | 76 +++++++++++++++++++++++++++++++++
 2 files changed, 155 insertions(+), 6 deletions(-)

diff --git a/py/mplgui/plotting.py b/py/mplgui/plotting.py
index a336d99..ca1d706 100644
--- a/py/mplgui/plotting.py
+++ b/py/mplgui/plotting.py
@@ -22,6 +22,64 @@ class FigureResult:
     warnings: list = field(default_factory=list)  # [{"series": 1始まり, "message": str}]（A7 で使用）
 
 
+# ---------------------------------------------------------------- dropped (non-numeric) values (A7)
+
+MAX_EXAMPLES = 3
+
+
+def _is_blank_cell(value) -> bool:
+    if value is None:
+        return True
+    try:
+        if pd.isna(value):
+            return True
+    except (TypeError, ValueError):
+        pass
+    return isinstance(value, str) and value.strip() == ""
+
+
+def coerce_numeric(raw: pd.Series) -> tuple[pd.Series, int, list[str]]:
+    """数値に変換する。戻り値は (変換後, 変換できなかった非空欄のセル数, 例（最大3件・重複なし）)。空欄は数えない。"""
+    numeric = pd.to_numeric(raw, errors="coerce")
+    blank = pd.Series([_is_blank_cell(v) for v in raw.tolist()], index=raw.index, dtype=bool)
+    failed = numeric.isna() & ~blank
+    count = int(failed.sum())
+    examples: list[str] = []
+    if count:
+        for v in raw[failed].tolist():
+            text = str(v)
+            if text not in examples:
+                examples.append(text)
+            if len(examples) >= MAX_EXAMPLES:
+                break
+    return numeric, count, examples
+
+
+def dropped_warning(series_no: int, what: str, count: int, examples: list[str]) -> dict:
+    ex = ", ".join(f'"{e}"' for e in examples)
+    message = f"{what}: 数値に変換できない値が{count}件あったため、その行を除外しました（例: {ex}）。"
+    return {"series": series_no, "message": message}
+
+
+def _no_data_message(entries: list[dict]) -> str:
+    base = "描画可能な数値データがありません。"
+    hints = [w["message"] for e in entries for w in e.get("warnings", [])]
+    if hints:
+        return base + "数値に変換できない値は除外されます。" + hints[0]
+    return base
+
+
+def _looks_numeric(raw: pd.Series) -> bool:
+    """文字列を含む列でも、空欄以外の半数以上が数値に変換できるなら数値列として扱う。"""
+    if pd.api.types.is_numeric_dtype(raw.dtype):
+        return True
+    non_blank = [v for v in raw.tolist() if not _is_blank_cell(v)]
+    if not non_blank:
+        return False
+    ok = pd.to_numeric(pd.Series(non_blank, dtype=object), errors="coerce").notna().sum()
+    return ok * 2 >= len(non_blank)
+
+
 # ---------------------------------------------------------------- column helpers (legacy-dict based)
 
 
@@ -115,8 +173,10 @@ def get_plot_data(df: pd.DataFrame, series_settings: list[dict], x_request: str
         y_key = f"y_{i}"
         label_suffix = f" [{y_idx}]" if y_idx >= 0 else ""
         data_label = f"{y_name}{label_suffix}"
-        plot_df[y_key] = pd.to_numeric(y_series, errors="coerce")
+        numeric, dropped, examples = coerce_numeric(y_series)
+        plot_df[y_key] = numeric
         entry = dict(setting)
+        entry["warnings"] = [dropped_warning(i + 1, f"系列{i + 1}（{y_name}）", dropped, examples)] if dropped else []
         entry["y_key"] = y_key
         entry["data_label"] = data_label
         entry["legend_label"] = setting.get("legend_name") or data_label
@@ -125,7 +185,7 @@ def get_plot_data(df: pd.DataFrame, series_settings: list[dict], x_request: str
     y_keys = [entry["y_key"] for entry in series_entries]
     plot_df = plot_df.dropna(subset=y_keys, how="all")
     if plot_df.empty:
-        raise UserError("描画可能な数値データがありません。")
+        raise UserError(_no_data_message(series_entries))
 
     for entry in series_entries:
         entry["y_series"] = plot_df[entry["y_key"]]
@@ -151,9 +211,21 @@ def get_per_series_xy_data(df: pd.DataFrame, series_settings: list[dict]) -> tup
         label_suffix = f" [{y_idx}]" if y_idx >= 0 else ""
         data_label = f"{y_name}{label_suffix}"
 
+        i = len(entries)
+        warnings_list = []
+        x_series = x_series.reset_index(drop=True)
+        if x_request and not pd.api.types.is_numeric_dtype(x_series.dtype) and _looks_numeric(x_series):
+            x_series, x_dropped, x_examples = coerce_numeric(x_series)
+            if x_dropped:
+                warnings_list.append(dropped_warning(i + 1, f"系列{i + 1}のX列（{x_label}）", x_dropped, x_examples))
+        y_numeric, y_dropped, y_examples = coerce_numeric(y_series)
+        if y_dropped:
+            warnings_list.append(dropped_warning(i + 1, f"系列{i + 1}（{y_name}）", y_dropped, y_examples))
+
         entry = dict(setting)
-        entry["x_series"] = x_series.reset_index(drop=True)
-        entry["y_series"] = pd.to_numeric(y_series, errors="coerce").reset_index(drop=True)
+        entry["warnings"] = warnings_list
+        entry["x_series"] = x_series
+        entry["y_series"] = y_numeric.reset_index(drop=True)
         entry["data_label"] = data_label
         entry["legend_label"] = setting.get("legend_name") or data_label
         entry["x_label"] = x_label
@@ -167,7 +239,7 @@ def get_per_series_xy_data(df: pd.DataFrame, series_settings: list[dict]) -> tup
             has_points = True
             break
     if not has_points:
-        raise UserError("描画可能な数値データがありません。")
+        raise UserError(_no_data_message(entries))
 
     common_x_label = x_labels[0] if len(set(x_labels)) == 1 else "x"
     return entries, common_x_label
@@ -414,4 +486,5 @@ def target_axis(entry):
     except BaseException:
         plt.close(fig)
         raise
-    return FigureResult(fig=fig, plotted_count=len(plotted_labels), skip_rows=skip_rows)
+    collected = [w for entry in all_entries for w in entry.get("warnings", [])]
+    return FigureResult(fig=fig, plotted_count=len(plotted_labels), skip_rows=skip_rows, warnings=collected)
diff --git a/tests/unit/test_plotting.py b/tests/unit/test_plotting.py
index 3c22375..df32e48 100644
--- a/tests/unit/test_plotting.py
+++ b/tests/unit/test_plotting.py
@@ -321,3 +321,79 @@ def test_legacy_helpers(df):
     assert xlabel == "index" and len(entries) == 2 and entries[1]["data_label"] == "b [2]"
     x, xl, es = get_plot_data(df, legacy, "__idx__0")
     assert xl == "t" and len(es) == 2 and list(x) == list(df["t"])
+
+
+# ---------------------------------------------------------------- A7: dropped values
+
+
+def _csv_df(name="non_numeric.csv"):
+    from pathlib import Path
+
+    from mplgui.loader import load_file
+
+    path = Path(__file__).resolve().parents[1] / "fixtures" / name
+    return load_file(path.read_bytes(), name, "", True).df
+
+
+def test_dropped_values_are_reported_per_series():
+    df = _csv_df()
+    r = build(df, series=[
+        {"x": "__idx__0", "y": "__idx__2"},   # 電圧: 数値列（空欄・N/A は欠損値でありカウントしない）
+        {"x": "__idx__0", "y": "__idx__1"},   # 金額: "1,234" 形式 → 全件変換不可
+        {"x": "__idx__0", "y": "__idx__3"},   # 単位付き: "1 mV"
+    ])
+    try:
+        assert r.plotted_count == 1
+        msgs = {w["series"]: w["message"] for w in r.warnings}
+        assert set(msgs) == {2, 3}
+        assert msgs[2].startswith("系列2（金額）: 数値に変換できない値が20件あったため、その行を除外しました（例: ")
+        assert '"1,234"' in msgs[2] and '"2,468"' in msgs[2] and '"3,702"' in msgs[2] and '"4,936"' not in msgs[2]
+        assert '"1 mV"' in msgs[3] and msgs[3].endswith("）。")
+    finally:
+        close(r)
+
+
+def test_blank_cells_are_not_counted_as_dropped():
+    df = pd.DataFrame({"t": [1, 2, 3, 4], "v": ["1", "", "  ", "x"]})
+    r = build(df, series=[{"x": "__idx__0", "y": "__idx__1"}])
+    try:
+        assert len(r.warnings) == 1
+        assert "1件" in r.warnings[0]["message"] and '"x"' in r.warnings[0]["message"]
+        assert r.warnings[0]["series"] == 1
+    finally:
+        close(r)
+
+
+def test_no_warning_for_clean_data(df):
+    r = build(df)
+    try:
+        assert r.warnings == []
+    finally:
+        close(r)
+
+
+def test_x_column_dropped_values_are_reported():
+    df = pd.DataFrame({"x": ["1", "2", "3", "oops", "5"], "y": [1.0, 2.0, 3.0, 4.0, 5.0]})
+    r = build(df, series=[{"x": "__idx__0", "y": "__idx__1"}])
+    try:
+        assert r.plotted_count == 1
+        assert "系列1のX列（x）" in r.warnings[0]["message"] and '"oops"' in r.warnings[0]["message"]
+        assert len(lines(r.fig.axes[0])[0].get_xdata()) == 4
+    finally:
+        close(r)
+
+
+def test_all_values_dropped_error_mentions_cause():
+    df = _csv_df()
+    with pytest.raises(UserError) as info:
+        build(df, series=[{"x": "__idx__0", "y": "__idx__1"}])
+    assert "数値に変換できない値" in info.value.message
+
+
+def test_bar_reports_dropped_values():
+    df = pd.DataFrame({"x": list("abcd"), "y": ["1", "2", "bad", "4"]})
+    r = build(df, lambda s: s["plot"].update(type="bar"), series=[{"y": "__idx__1"}])
+    try:
+        assert "系列1（y）" in r.warnings[0]["message"]
+    finally:
+        close(r)

From 0f70b529dcbb840f3e0eb1be0e3b75fbdf6bab58 Mon Sep 17 00:00:00 2001
From: mioupa <mioupa.org@gmail.com>
Date: Wed, 7 Oct 2026 18:54:45 +0900
Subject: [PATCH 22/37] B7: Japanese error messages for all user errors

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---
 py/mplgui/loader.py         |   9 ++-
 py/mplgui/plotting.py       |  54 ++++++++++++----
 py/mplgui/runner.py         |  19 ++++--
 py/mplgui/settings.py       |   7 +-
 tests/unit/test_api.py      | 126 ++++++++++++++++++++++++++++++++++++
 tests/unit/test_plotting.py |   2 +-
 tests/unit/test_runner.py   |  16 +++++
 7 files changed, 214 insertions(+), 19 deletions(-)

diff --git a/py/mplgui/loader.py b/py/mplgui/loader.py
index a1bbc75..78cb6dc 100644
--- a/py/mplgui/loader.py
+++ b/py/mplgui/loader.py
@@ -39,6 +39,11 @@ def decode_delimiter(delimiter: str, suffix: str) -> str:
 _BOM_UTF8 = b"\xef\xbb\xbf"
 
 
+# Python の cp932 は未定義の単一バイト（0x80, 0xA0, 0xFD-0xFF）を C1 制御文字・私用領域 U+F8F0-F8F3 に
+# 「デコードできてしまう」。これらを含む候補は文字コードの誤りとみなして除外する。
+_IMPLAUSIBLE = re.compile("[\u0080-\u009f\uf8f0-\uf8f3\ufffd]")
+
+
 def _suspicion(text: str) -> int:
     """文字化けらしさ。半角カナ・私用領域・置換文字・制御文字の数（少ないほど自然な日本語）。"""
     n = 0
@@ -74,9 +79,11 @@ def detect_encoding(data: bytes) -> tuple[str, str]:
     candidates = []
     for code in ("cp932", "euc-jp"):  # 同点のときは先に並べたほうが勝つ
         try:
-            candidates.append((code, data.decode(code)))
+            text = data.decode(code)
         except UnicodeDecodeError:
             continue
+        if not _IMPLAUSIBLE.search(text):
+            candidates.append((code, text))
     if not candidates:
         raise UserError(
             "文字コードを判定できませんでした（UTF-8 / Shift_JIS(CP932) / EUC-JP のいずれでもありません）。"
diff --git a/py/mplgui/plotting.py b/py/mplgui/plotting.py
index ca1d706..b5e59f6 100644
--- a/py/mplgui/plotting.py
+++ b/py/mplgui/plotting.py
@@ -5,6 +5,7 @@
 """
 from __future__ import annotations
 
+import traceback
 from dataclasses import dataclass, field
 
 import matplotlib.pyplot as plt
@@ -92,14 +93,18 @@ def parse_column_index(requested: str) -> int | None:
     return int(idx_text)
 
 
+def _column_out_of_range(idx: int, ncols: int) -> str:
+    return f"選択した列（{idx + 1}列目）がデータにありません（データは{ncols}列です）。別のファイルを読み込んだ場合は、列を選び直してください。"
+
+
 def resolve_column(df: pd.DataFrame, requested: str):
     if requested.startswith("__idx__"):
         idx_text = requested.replace("__idx__", "", 1)
         if not idx_text.isdigit():
-            raise UserError(f"列の指定が不正です: {requested}")
+            raise UserError("列の指定が正しくありません。列を選び直してください。", detail=requested)
         idx = int(idx_text)
         if idx < 0 or idx >= len(df.columns):
-            raise UserError(f"列番号 {idx} がデータの列数を超えています。")
+            raise UserError(_column_out_of_range(idx, len(df.columns)))
         return df.columns[idx]
 
     if requested in df.columns:
@@ -107,14 +112,14 @@ def resolve_column(df: pd.DataFrame, requested: str):
     matched = [col for col in df.columns if str(col) == requested]
     if len(matched) == 1:
         return matched[0]
-    raise UserError(f"列が見つかりません: {requested}")
+    raise UserError(f"列「{requested}」がデータに見つかりません。列を選び直してください。")
 
 
 def get_series_from_request(df: pd.DataFrame, requested: str) -> tuple[pd.Series, str, int]:
     idx = parse_column_index(requested)
     if idx is not None:
         if idx < 0 or idx >= len(df.columns):
-            raise UserError(f"列番号 {idx} がデータの列数を超えています。")
+            raise UserError(_column_out_of_range(idx, len(df.columns)))
         return df.iloc[:, idx], str(df.columns[idx]), idx
 
     resolved = resolve_column(df, requested)
@@ -251,11 +256,11 @@ def get_per_series_xy_data(df: pd.DataFrame, series_settings: list[dict]) -> tup
 def apply_axis_scale_and_limits(target_ax, axis_kind: str, axis_label: str, scale: str,
                                 min_value: float | None, max_value: float | None) -> None:
     if scale not in {"linear", "log"}:
-        raise UserError(f"{axis_label}軸スケールが不正です。")
+        raise UserError(f"「{axis_label}軸スケール」の値が不正です。linear（線形）か log（対数）を選んでください。", field=f"{axis_label}軸スケール")
     if min_value is not None and max_value is not None and min_value >= max_value:
-        raise UserError(f"{axis_label}軸の範囲は最小値 < 最大値で指定してください。")
+        raise UserError(f"{axis_label}軸の範囲は最小値 < 最大値で指定してください。", field=f"{axis_label}軸の範囲")
     if scale == "log" and ((min_value is not None and min_value <= 0) or (max_value is not None and max_value <= 0)):
-        raise UserError(f"{axis_label}軸を対数にする場合、範囲は0より大きい値で指定してください。")
+        raise UserError(f"{axis_label}軸を対数にする場合、範囲は0より大きい値で指定してください。", field=f"{axis_label}軸の範囲")
 
     try:
         if axis_kind == "x":
@@ -267,11 +272,25 @@ def apply_axis_scale_and_limits(target_ax, axis_kind: str, axis_label: str, scal
             if min_value is not None or max_value is not None:
                 target_ax.set_ylim(bottom=min_value, top=max_value)
         else:
-            raise UserError(f"軸種別が不正です: {axis_kind}")
+            raise UserError("軸の種類が正しくありません。", detail=str(axis_kind))
     except UserError:
         raise
     except Exception as exc:
-        raise UserError(f"{axis_label}軸設定の適用に失敗しました。", detail=str(exc)) from exc
+        raise UserError(
+            f"{axis_label}軸のスケールまたは範囲を適用できませんでした。範囲の値を確認してください。",
+            field=f"{axis_label}軸の範囲",
+            detail=f"{type(exc).__name__}: {exc}",
+        ) from exc
+
+
+_TIGHT_LAYOUT_ERROR = "レイアウトの自動調整に失敗しました。余白を手動で指定するか、図の大きさ・フォントサイズを小さくしてください。"
+
+
+def _tight_layout(fig) -> None:
+    try:
+        fig.tight_layout()
+    except Exception as exc:
+        raise UserError(_TIGHT_LAYOUT_ERROR, field="余白", detail=f"{type(exc).__name__}: {exc}") from exc
 
 
 def apply_subplot_margins(fig, margins: dict, use_tight_layout_if_auto: bool = False) -> None:
@@ -294,9 +313,13 @@ def apply_subplot_margins(fig, margins: dict, use_tight_layout_if_auto: bool = F
         try:
             fig.subplots_adjust(**provided)
         except Exception as exc:
-            raise UserError("余白設定の適用に失敗しました。", detail=str(exc)) from exc
+            raise UserError(
+                "余白の設定を適用できませんでした。左 < 右、下 < 上 になるように、0〜1の値で指定してください。",
+                field="余白",
+                detail=f"{type(exc).__name__}: {exc}",
+            ) from exc
     elif use_tight_layout_if_auto:
-        fig.tight_layout()
+        _tight_layout(fig)
 
 
 def apply_axes_decoration(ax, ax2, *, font_size: float, scales: dict, limits: dict,
@@ -483,6 +506,15 @@ def target_axis(entry):
         apply_subplot_margins(
             fig, {"left": m.left, "right": m.right, "bottom": m.bottom, "top": m.top}, use_tight_layout_if_auto=True,
         )
+    except UserError:
+        plt.close(fig)
+        raise
+    except (TypeError, ValueError, OverflowError) as exc:
+        plt.close(fig)
+        raise UserError(
+            "グラフを描画できませんでした。X列・Y列に指定した列の値の形式（数値と文字列の混在など）や、設定の値を確認してください。",
+            detail=f"{type(exc).__name__}: {exc}\n\n{traceback.format_exc().strip()}",
+        ) from exc
     except BaseException:
         plt.close(fig)
         raise
diff --git a/py/mplgui/runner.py b/py/mplgui/runner.py
index 25061c0..5a131bc 100644
--- a/py/mplgui/runner.py
+++ b/py/mplgui/runner.py
@@ -7,6 +7,7 @@
 import base64
 import builtins
 import io
+import re
 import traceback
 from functools import partial
 
@@ -87,7 +88,7 @@ def figure_to_bytes(fig, file_format: str, transparent: bool = False, dpi: int =
     """Figure を指定形式のバイト列にする。戻り値は (bytes, mime, 拡張子)。"""
     fmt = (file_format or "").lower()
     if fmt not in _FORMATS:
-        raise UserError("保存形式が不正です。", field="保存形式")
+        raise UserError("「保存形式」の値が不正です。png / jpg / svg / pdf から選んでください。", field="保存形式")
     if transparent and fmt not in {"png", "svg"}:
         raise UserError("背景透過を有効にした場合、保存形式はpngまたはsvgを選択してください。", field="保存形式")
     save_format, mime, ext = _FORMATS[fmt]
@@ -101,7 +102,14 @@ def figure_to_bytes(fig, file_format: str, transparent: bool = False, dpi: int =
         save_kwargs["transparent"] = True
 
     buffer = io.BytesIO()
-    fig.savefig(buffer, format=save_format, **save_kwargs)
+    try:
+        fig.savefig(buffer, format=save_format, **save_kwargs)
+    except (ValueError, OverflowError, MemoryError) as exc:
+        raise UserError(
+            "画像を書き出せませんでした。図幅・図高さを小さくするか、保存形式を変えてください。",
+            field="図幅",
+            detail=f"{type(exc).__name__}: {exc}",
+        ) from exc
     return buffer.getvalue(), mime, ext
 
 
@@ -110,9 +118,12 @@ def figure_to_data_uri(fig, file_format: str, transparent: bool = False, dpi: in
     return f"data:{mime};base64,{base64.b64encode(data).decode('ascii')}", ext
 
 
+_INVALID_FILENAME_CHARS = re.compile(r'[\\/:*?"<>|\x00-\x1f]')
+
+
 def build_filename(raw_filename: str, ext: str) -> str:
     """保存ファイル名を作る。空欄時は plot.<ext>。入力中の拡張子は取り除いて ext を付ける。"""
-    raw_filename = (raw_filename or "").strip()
+    raw_filename = _INVALID_FILENAME_CHARS.sub("_", (raw_filename or "").strip())
     if raw_filename:
         filename_base = raw_filename.rstrip(".")
         if "." in filename_base:
@@ -251,7 +262,7 @@ def close_new_figures(keep=None):
             try:
                 plotted_count = int(plotted_raw)
             except Exception:
-                raise UserError("plotted_count は整数で指定してください。", field="カスタムコード")
+                raise UserError("plotted_count は整数で指定してください。", field="カスタムコード") from None
         if plotted_count <= 0 and figure_has_visible_artists(fig):
             plotted_count = 1
         if plotted_count <= 0:
diff --git a/py/mplgui/settings.py b/py/mplgui/settings.py
index fbd4cd5..c5d8e19 100644
--- a/py/mplgui/settings.py
+++ b/py/mplgui/settings.py
@@ -261,6 +261,9 @@ def _merge(defaults: dict, given: Any) -> dict:
     return out
 
 
+MAX_FIGURE_INCH = 50  # これより大きいと画像サイズが過大になり描画できない
+
+
 def _check_version(raw: dict) -> None:
     version = raw.get("version", SCHEMA_VERSION)
     if isinstance(version, bool) or version != SCHEMA_VERSION:
@@ -349,8 +352,8 @@ def parse_settings(raw: dict | None) -> Settings:
     p = merged["plot"]
     fig = p["figure"] if isinstance(p["figure"], dict) else {}
     figure = FigureSettings(
-        width=_number(fig.get("width"), "図幅", default=8.0, exclusive_min=0),
-        height=_number(fig.get("height"), "図高さ", default=6.0, exclusive_min=0),
+        width=_number(fig.get("width"), "図幅", default=8.0, exclusive_min=0, maximum=MAX_FIGURE_INCH),
+        height=_number(fig.get("height"), "図高さ", default=6.0, exclusive_min=0, maximum=MAX_FIGURE_INCH),
     )
     legend = p["legend"] if isinstance(p["legend"], dict) else {}
     grid = p["grid"] if isinstance(p["grid"], dict) else {}
diff --git a/tests/unit/test_api.py b/tests/unit/test_api.py
index 4d69a3a..ffd7b60 100644
--- a/tests/unit/test_api.py
+++ b/tests/unit/test_api.py
@@ -96,3 +96,129 @@ def test_render_with_custom_code():
 
 def test_font_status_before_register():
     assert json.loads(api.font_status())["ok"] is True
+
+
+# ---------------------------------------------------------------- B7: Japanese errors everywhere
+
+FORBIDDEN = ("invalid literal", "could not convert", "Traceback", "Error:", "Exception", "object has no attribute")
+
+
+def _s(mutator):
+    s = default_settings()
+    mutator(s)
+    return s
+
+
+def _set(path, value):
+    def mut(s):
+        node = s
+        for key in path[:-1]:
+            node = node[key]
+        node[path[-1]] = value
+
+    return mut
+
+
+BAD_SETTINGS = [
+    ("fontSize abc", _set(["plot", "fontSize"], "abc")),
+    ("fontSize 0", _set(["plot", "fontSize"], 0)),
+    ("fontSize list", _set(["plot", "fontSize"], [1])),
+    ("skipRows 1.5", _set(["plot", "skipRows"], 1.5)),
+    ("skipRows x", _set(["plot", "skipRows"], "x")),
+    ("skipRows -1", _set(["plot", "skipRows"], -1)),
+    ("skipRows too big", _set(["plot", "skipRows"], 1000)),
+    ("figure width x", _set(["plot", "figure", "width"], "x")),
+    ("figure width huge", _set(["plot", "figure", "width"], 1e9)),
+    ("figure height 0", _set(["plot", "figure", "height"], 0)),
+    ("type pie", _set(["plot", "type"], "pie")),
+    ("title number", _set(["plot", "title"], 123)),
+    ("legend bad", _set(["plot", "legend", "location"], "nowhere")),
+    ("grid bad", _set(["plot", "grid", "major"], "yes")),
+    ("margin 2", _set(["plot", "margins", "left"], 2)),
+    ("margin x", _set(["plot", "margins", "top"], "x")),
+    ("margin order", lambda s: s["plot"]["margins"].update(left=0.9, right=0.1)),
+    ("x min x", _set(["axes", "x", "min"], "abc")),
+    ("x min >= max", lambda s: s["axes"]["x"].update(min=5, max=1)),
+    ("y log negative", lambda s: s["axes"]["y"].update(scale="log", min=-1, max=10)),
+    ("scale bad", _set(["axes", "y", "scale"], "sqrt")),
+    ("no series", _set(["series"], [])),
+    ("series color bad", _set(["series", 0, "color"], "notacolor")),
+    ("series lineWidth x", _set(["series", 0, "lineWidth"], "x")),
+    ("series lineWidth 0", _set(["series", 0, "lineWidth"], 0)),
+    ("series marker x", _set(["series", 0, "markerSize"], "x")),
+    ("series style bad", _set(["series", 0, "lineStyle"], "wavy")),
+    ("series col out of range", _set(["series", 0, "y"], "__idx__99")),
+    ("series col not found", _set(["series", 0, "y"], "nonexistent")),
+    ("series col malformed", _set(["series", 0, "y"], "__idx__x")),
+    ("series x out of range", _set(["series", 0, "x"], "__idx__50")),
+    ("version", _set(["version"], 99)),
+    ("save format gif", _set(["save", "format"], "gif")),
+]
+SAVE_ONLY = [("save transparent jpg", lambda s: s["save"].update(format="jpg", transparent=True))]
+
+
+def _assert_japanese_clean(r):
+    assert r["ok"] is False
+    msg = r["error"]["message"]
+    assert not msg.isascii(), msg
+    for bad in FORBIDDEN:
+        assert bad not in msg, (bad, msg)
+
+
+@pytest.mark.parametrize(
+    "name, mutator, entry",
+    [(n, m, e) for n, m in BAD_SETTINGS for e in (api.render_json, api.save_json)] + [(n, m, api.save_json) for n, m in SAVE_ONLY],
+    ids=lambda v: v if isinstance(v, str) else getattr(v, "__name__", "f"),
+)
+def test_bad_settings_give_clean_japanese_errors(name, mutator, entry):
+    load()
+    r = json.loads(entry(json.dumps(_s(mutator))))
+    _assert_japanese_clean(r)
+    assert r["error"]["message"] != api.INTERNAL_ERROR_MESSAGE  # 想定内のユーザー入力ミスは内部エラー扱いにしない
+
+
+BAD_FILES = [
+    ("unsupported ext", "a.pdf", b"x", ""),
+    ("empty", "e.csv", b"", ""),
+    ("header only", "h.csv", b"a,b\n", ""),
+    ("undecodable", "u.csv", b"a,b\n\xff\xff\xff\xff\n", ""),
+    ("ragged", "r.csv", b"a,b\n1,2\n1,2,3,4,5\n6,7\n", ","),
+    ("bad regex", "x.txt", b"a b\n1 2\n", "(a"),
+    ("bad escape", "x.csv", b"a,b\n1,2\n", "\\x"),
+    ("broken xlsx", "b.xlsx", b"not a zip", ""),
+]
+
+
+@pytest.mark.parametrize("name, fname, data, delim", BAD_FILES, ids=[b[0] for b in BAD_FILES])
+def test_bad_files_give_clean_japanese_errors(name, fname, data, delim):
+    s = default_settings()
+    s["load"]["delimiter"] = delim
+    r = json.loads(api.load_file_json(fname, data, json.dumps(s)))
+    _assert_japanese_clean(r)
+    assert r["error"]["message"] != api.INTERNAL_ERROR_MESSAGE
+
+
+def test_render_without_data_and_bad_json_are_clean():
+    _assert_japanese_clean(json.loads(api.render_json(json.dumps(default_settings()))))
+    _assert_japanese_clean(json.loads(api.render_json("{broken")))
+    _assert_japanese_clean(json.loads(api.load_file_json("a.csv", b"a\n1\n", "{broken")))
+
+
+def test_unparsable_values_only_series_error_is_japanese():
+    load("non_numeric.csv")
+    s = _s(_set(["series", 0, "y"], "__idx__3"))
+    _assert_japanese_clean(json.loads(api.render_json(json.dumps(s))))
+
+
+def test_unexpected_mismatch_error_is_wrapped_with_detail(monkeypatch):
+    import matplotlib.axes
+
+    load()
+
+    def boom(self, *a, **k):
+        raise TypeError("cannot cast array data")
+
+    monkeypatch.setattr(matplotlib.axes.Axes, "plot", boom)
+    r = json.loads(api.render_json(json.dumps(default_settings())))
+    _assert_japanese_clean(r)
+    assert "cannot cast" in r["error"]["detail"]
diff --git a/tests/unit/test_plotting.py b/tests/unit/test_plotting.py
index df32e48..31949d2 100644
--- a/tests/unit/test_plotting.py
+++ b/tests/unit/test_plotting.py
@@ -291,7 +291,7 @@ def test_no_plottable_data_raises_and_closes_figure():
 def test_column_out_of_range_is_user_error(df):
     with pytest.raises(UserError) as info:
         build(df, series=[{"y": "__idx__99"}])
-    assert "99" in info.value.message
+    assert "100列目" in info.value.message
 
 
 def test_duplicate_column_names_resolved_by_index():
diff --git a/tests/unit/test_runner.py b/tests/unit/test_runner.py
index 74147d8..8e2ff9b 100644
--- a/tests/unit/test_runner.py
+++ b/tests/unit/test_runner.py
@@ -169,3 +169,19 @@ def test_make_figure_dispatch(df):
     r = make_figure(df, settings(), "fig, ax = plt.subplots()\nax.plot([0,1],[0,1])")
     plt.close(r.fig)
     assert r.plotted_count == 1
+
+
+def test_filename_invalid_characters_are_replaced():
+    assert build_filename('a/b:c*?.png', "svg") == "a_b_c__.svg"
+
+
+def test_tight_layout_failure_is_japanese_user_error(monkeypatch, df):
+    from matplotlib.figure import Figure
+
+    def boom(self, *a, **k):
+        raise RuntimeError("tight failed")
+
+    monkeypatch.setattr(Figure, "tight_layout", boom)
+    with pytest.raises(UserError) as info:
+        make_figure(df, settings())
+    assert "レイアウト" in info.value.message and "tight failed" in info.value.detail

From d26ebfcd95ddde887eef4b3a4f9794bf3c7be77e Mon Sep 17 00:00:00 2001
From: mioupa <mioupa.org@gmail.com>
Date: Wed, 7 Oct 2026 18:55:05 +0900
Subject: [PATCH 23/37] A10: narrow warning filters (pyarrow
 DeprecationWarning, missing-glyph UserWarning only)

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---
 py/main.py                 |  8 +++----
 py/mplgui/runtime.py       | 16 ++++++++++++++
 pyscript.toml              |  1 +
 tests/unit/test_runtime.py | 43 ++++++++++++++++++++++++++++++++++++++
 4 files changed, 63 insertions(+), 5 deletions(-)
 create mode 100644 py/mplgui/runtime.py
 create mode 100644 tests/unit/test_runtime.py

diff --git a/py/main.py b/py/main.py
index 85f3112..bd22f06 100644
--- a/py/main.py
+++ b/py/main.py
@@ -2,15 +2,13 @@
 
 JS（js/bridge.js）は window.mplgui の関数を呼ぶ。引数・戻り値は JSON 文字列。
 """
-import warnings
-
 import matplotlib
 
 matplotlib.use("Agg")  # ブラウザ描画バックエンドを使わない（pyplot を import する前に指定する）
 
-warnings.simplefilter("ignore", DeprecationWarning)
-warnings.filterwarnings("ignore", message=".*Pyarrow will become a required dependency of pandas.*", category=DeprecationWarning)
-warnings.filterwarnings("ignore", message=".*missing from current font.*", category=UserWarning)
+from mplgui.runtime import configure_warnings  # noqa: E402
+
+configure_warnings()
 
 from js import CustomEvent, Object, window  # noqa: E402
 from pyodide.ffi import create_proxy  # noqa: E402
diff --git a/py/mplgui/runtime.py b/py/mplgui/runtime.py
new file mode 100644
index 0000000..89eb663
--- /dev/null
+++ b/py/mplgui/runtime.py
@@ -0,0 +1,16 @@
+"""実行環境の初期設定（警告フィルタ）。js / pyodide には依存しない。"""
+from __future__ import annotations
+
+import warnings
+
+# 無視してよい警告だけを列挙する。DeprecationWarning 全体は無視しない（A10）。
+_PYARROW_MESSAGE = r"(?s).*[Pp]yarrow.*"
+_MISSING_GLYPH_MESSAGES = (r"Glyph .* missing from font.*", r".*missing from current font.*")
+
+
+def configure_warnings() -> None:
+    """pandas の pyarrow 関連 DeprecationWarning と、matplotlib のグリフ不足 UserWarning だけを無視する。"""
+    warnings.filterwarnings("ignore", message=_PYARROW_MESSAGE, category=DeprecationWarning)
+    warnings.filterwarnings("ignore", category=DeprecationWarning, module=r"pyarrow(\..*)?$")
+    for message in _MISSING_GLYPH_MESSAGES:
+        warnings.filterwarnings("ignore", message=message, category=UserWarning)
diff --git a/pyscript.toml b/pyscript.toml
index ccfb65a..11de2ae 100644
--- a/pyscript.toml
+++ b/pyscript.toml
@@ -12,3 +12,4 @@ packages = ["pandas", "matplotlib", "openpyxl==3.1.5", "et_xmlfile==2.0.0"]
 "./py/mplgui/plotting.py" = "./mplgui/plotting.py"
 "./py/mplgui/runner.py" = "./mplgui/runner.py"
 "./py/mplgui/fonts.py" = "./mplgui/fonts.py"
+"./py/mplgui/runtime.py" = "./mplgui/runtime.py"
diff --git a/tests/unit/test_runtime.py b/tests/unit/test_runtime.py
new file mode 100644
index 0000000..530c106
--- /dev/null
+++ b/tests/unit/test_runtime.py
@@ -0,0 +1,43 @@
+import warnings
+
+import pytest
+
+from mplgui.runtime import configure_warnings
+
+pytestmark = pytest.mark.unit
+
+
+def _emit(category, message):
+    with warnings.catch_warnings(record=True) as caught:
+        warnings.simplefilter("always")
+        configure_warnings()
+        warnings.warn(message, category)
+    return caught
+
+
+def test_unrelated_deprecation_warning_is_still_emitted():
+    caught = _emit(DeprecationWarning, "something else is deprecated")
+    assert [str(w.message) for w in caught] == ["something else is deprecated"]
+
+
+def test_pyarrow_deprecation_warning_is_ignored():
+    assert not _emit(
+        DeprecationWarning,
+        "\nPyarrow will become a required dependency of pandas in the next major release of pandas",
+    )
+
+
+def test_missing_glyph_user_warning_is_ignored():
+    assert not _emit(UserWarning, "Glyph 12354 (\\N{HIRAGANA LETTER A}) missing from font(s) DejaVu Sans.")
+    assert not _emit(UserWarning, "Glyph 12354 missing from current font.")
+
+
+def test_unrelated_user_warning_is_still_emitted():
+    assert len(_emit(UserWarning, "something unrelated")) == 1
+
+
+def test_no_blanket_deprecation_ignore_in_entry_point():
+    from pathlib import Path
+
+    text = (Path(__file__).resolve().parents[2] / "py" / "main.py").read_text(encoding="utf-8")
+    assert 'simplefilter("ignore"' not in text

From 14cc0a55e9ad20fda6f8cf8f444d7b27ac76976a Mon Sep 17 00:00:00 2001
From: mioupa <mioupa.org@gmail.com>
Date: Wed, 7 Oct 2026 18:59:46 +0900
Subject: [PATCH 24/37] E2E: encodings, dropped-value warning, Japanese setting
 error and recovery

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---
 tests/e2e/test_encoding_and_errors.py | 87 +++++++++++++++++++++++++++
 1 file changed, 87 insertions(+)
 create mode 100644 tests/e2e/test_encoding_and_errors.py

diff --git a/tests/e2e/test_encoding_and_errors.py b/tests/e2e/test_encoding_and_errors.py
new file mode 100644
index 0000000..4d70967
--- /dev/null
+++ b/tests/e2e/test_encoding_and_errors.py
@@ -0,0 +1,87 @@
+"""A5（文字コード判定と表示）、A7（数値にできない値の警告）、B7（日本語エラーと復帰）。"""
+import pytest
+
+from helpers import (
+    load_fixture,
+    plot_src,
+    status_kind,
+    status_text,
+    status_warnings,
+    wait_app_ready,
+    wait_plot_changed,
+    wait_settled,
+)
+
+pytestmark = pytest.mark.e2e
+
+
+def _open(page, app_url, fixtures_dir, name):
+    page.goto(app_url)
+    wait_app_ready(page)
+    load_fixture(page, fixtures_dir / name)
+    wait_settled(page)
+
+
+def _header_cells(page):
+    page.click("#tabDataBtn")
+    return page.eval_on_selector_all("#dataArea thead th", "els => els.map(e => e.textContent)")
+
+
+def test_cp932_is_detected_and_machine_dependent_characters_survive(page, app_url, fixtures_dir, console_log):
+    _open(page, app_url, fixtures_dir, "cp932.csv")
+    assert "Shift_JIS（CP932）" in page.inner_text("#encodingLabel")
+    assert "時間①" in _header_cells(page)
+    assert "㈱テスト" in page.inner_text("#dataArea")
+
+
+def test_utf8_bom_is_labelled_and_not_in_header(page, app_url, fixtures_dir, console_log):
+    _open(page, app_url, fixtures_dir, "utf8_bom.csv")
+    assert "UTF-8（BOM付き）" in page.inner_text("#encodingLabel")
+    headers = _header_cells(page)
+    assert headers[1] == "時間" and "" not in "".join(headers)
+
+
+def test_euc_jp_is_detected(page, app_url, fixtures_dir, console_log):
+    _open(page, app_url, fixtures_dir, "euc_jp.csv")
+    assert "EUC-JP" in page.inner_text("#encodingLabel")
+    assert "測定開始" in _header_cells(page)[-1] + page.inner_text("#dataArea")
+
+
+def test_undecodable_file_shows_japanese_error(page, app_url, tmp_path, console_log):
+    bad = tmp_path / "bad.csv"
+    bad.write_bytes(b"a,b\n\xff\xff\xff\xff\n")
+    page.goto(app_url)
+    wait_app_ready(page)
+    page.set_input_files("#fileInput", str(bad))
+    page.wait_for_function("document.getElementById('status').dataset.kind === 'error'")
+    assert "文字コードを判定できませんでした" in status_text(page) and "UTF-8 で保存し直して" in status_text(page)
+
+
+def test_non_numeric_values_produce_warning_and_plot_still_renders(page, app_url, fixtures_dir, console_log):
+    _open(page, app_url, fixtures_dir, "non_numeric.csv")
+    page.click("#addSeriesBtn")
+    page.select_option("#series-s2-y", "__idx__1")  # 金額: "1,234" 形式は数値に変換できない
+    wait_settled(page)
+    page.wait_for_function("document.getElementById('status').dataset.kind === 'warning'")
+    wait_settled(page)
+    assert status_kind(page) == "warning"
+    warnings = status_warnings(page)
+    assert len(warnings) == 1
+    w = warnings[0]
+    assert "系列2（金額）" in w and "数値に変換できない値が20件あったため、その行を除外しました" in w and '"1,234"' in w
+    assert plot_src(page) != "" and plot_src(page).startswith("data:image/png")
+
+
+def test_invalid_setting_error_names_field_and_recovers(page, app_url, fixtures_dir, console_log):
+    _open(page, app_url, fixtures_dir, "utf8.csv")
+    src = plot_src(page)
+    page.fill("#xMin", "5")
+    page.fill("#xMax", "1")
+    page.wait_for_function("document.getElementById('status').dataset.kind === 'error'")
+    wait_settled(page)
+    assert "X軸の範囲" in status_text(page) and "最小値 < 最大値" in status_text(page)
+    assert plot_src(page) == src  # 直前の画像は残る
+    page.fill("#xMax", "10")
+    new = wait_plot_changed(page, src)
+    wait_settled(page)
+    assert status_kind(page) == "ok" and new != src

From be3018005813a70200f1ac4f9ed9ec341d006987 Mon Sep 17 00:00:00 2001
From: mioupa <mioupa.org@gmail.com>
Date: Wed, 7 Oct 2026 19:27:25 +0900
Subject: [PATCH 25/37] A6: font download stall detection and bounded
 first-render wait

Abort the font download when no headers or no new bytes arrive for
FONT_STALL_MS (counts as a failure: one warning, no retry). The first
render waits at most FONT_FIRST_RENDER_WAIT_MS for the font, then renders
with fallback fonts and re-renders once when the font becomes ready.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---
 js/bridge.js           | 19 +++++++++-
 js/font-cache.js       | 28 +++++++++++++-
 tests/e2e/test_font.py | 83 +++++++++++++++++++++++++++++++++++++++++-
 3 files changed, 125 insertions(+), 5 deletions(-)

diff --git a/js/bridge.js b/js/bridge.js
index 8787c98..deb25e0 100644
--- a/js/bridge.js
+++ b/js/bridge.js
@@ -10,7 +10,7 @@ import { applySkipRows, showPreview } from "./ui/dataPreview.js";
 import { setColumns } from "./ui/series.js";
 import { showEncoding, showFileName } from "./ui/fileInfo.js";
 import { setBusy, showProgress } from "./ui/progress.js";
-import { isFontCached, loadFont } from "./font-cache.js";
+import { FONT_FIRST_RENDER_WAIT_MS, isFontCached, loadFont } from "./font-cache.js";
 
 const RENDER_DELAY_MS = 250;
 const LOAD_DELAY_MS = { file: 0, header: 0, delimiter: 450 };
@@ -35,6 +35,7 @@ let readyCallbacks = [];
 let fontState = "idle"; // idle | loading | ready | failed
 let fontPercent = null;
 let fontTask = null;
+let fontWaitGaveUp = false; // 最初の描画がフォント待ちを打ち切った（以後は待たない）
 
 const setDataState = (state) => {
   dataReady = state === "ready";
@@ -101,6 +102,7 @@ const startFont = () => {
       try {
         api.registerFont(bytes);
         setFontState("ready");
+        if (fontWaitGaveUp) renderNow(); // フォント無しで描いた図を、現在の設定で1回だけ描き直す（通常の合流処理・新しい世代）
       } catch (_) {
         setFontState("failed");
         addStickyWarning(FONT_FAILED_MESSAGE);
@@ -113,8 +115,21 @@ const startFont = () => {
   return fontTask;
 };
 
+// 最初の描画は最大 FONT_FIRST_RENDER_WAIT_MS だけ待つ。超えたらフォールバックフォントで描き、取得完了後に再描画する。
 const waitForFont = async () => {
-  if (fontState === "loading" && fontTask) await fontTask;
+  if (fontState !== "loading" || !fontTask || fontWaitGaveUp) return;
+  let timer = null;
+  const timeout = new Promise((resolve) => {
+    timer = window.setTimeout(() => {
+      fontWaitGaveUp = true;
+      resolve();
+    }, FONT_FIRST_RENDER_WAIT_MS);
+  });
+  try {
+    await Promise.race([fontTask, timeout]);
+  } finally {
+    window.clearTimeout(timer);
+  }
 };
 
 // ---- 描画 ----
diff --git a/js/font-cache.js b/js/font-cache.js
index f68c1d6..567023f 100644
--- a/js/font-cache.js
+++ b/js/font-cache.js
@@ -4,6 +4,15 @@
 export const FONT_URL = "https://cdn.jsdelivr.net/gh/googlefonts/noto-cjk@Sans2.004/Sans/OTF/Japanese/NotoSansCJKjp-Regular.otf";
 export const FONT_CACHE_NAME = "mplgui-fonts-v1";
 
+// テスト専用の上書き: E2E が addInitScript で window.__MPLGUI_TEST_OVERRIDES__ = {fontStallMs, fontFirstRenderWaitMs} を
+// 設定すると、起動時に1回だけ読む（UI には出さない）。
+const overrides = (typeof window !== "undefined" && window.__MPLGUI_TEST_OVERRIDES__) || {};
+const pick = (value, fallback) => (Number.isFinite(value) && value > 0 ? value : fallback);
+// ヘッダが届かない／本文が一定時間まったく進まない場合に取得を失敗扱いにする（総時間の上限は設けない）
+export const FONT_STALL_MS = pick(overrides.fontStallMs, 20_000);
+// 最初の描画がフォント取得を待つ最大時間。超えたらフォールバックフォントで描画し、取得完了後に1回だけ再描画する
+export const FONT_FIRST_RENDER_WAIT_MS = pick(overrides.fontFirstRenderWaitMs, 8_000);
+
 let fontPromise = null; // 取得結果（Uint8Array | null）。一度作ったら使い回す
 
 const openCache = async () => {
@@ -38,7 +47,23 @@ export const isFontCached = async () => {
 
 // ストリームで読み、進捗(0-100)を onProgress に通知する。content-length が圧縮後サイズのこともあるので 99 で頭打ちにする。
 const download = async (onProgress) => {
-  const response = await fetch(FONT_URL);
+  const controller = new AbortController();
+  let stallTimer = null;
+  const armStall = () => {
+    if (stallTimer) clearTimeout(stallTimer);
+    stallTimer = setTimeout(() => controller.abort(), FONT_STALL_MS);
+  };
+  armStall();
+  try {
+    return await downloadWith(controller.signal, onProgress, armStall);
+  } finally {
+    if (stallTimer) clearTimeout(stallTimer);
+  }
+};
+
+const downloadWith = async (signal, onProgress, armStall) => {
+  const response = await fetch(FONT_URL, { signal });
+  armStall();
   if (!response.ok) throw new Error(`HTTP ${response.status}`);
   const total = Number(response.headers.get("content-length")) || 0;
   if (!response.body || !response.body.getReader) {
@@ -52,6 +77,7 @@ const download = async (onProgress) => {
   for (;;) {
     const { done, value } = await reader.read();
     if (done) break;
+    armStall();
     chunks.push(value);
     received += value.length;
     if (total > 0) onProgress(Math.min(99, Math.floor((received / total) * 100)));
diff --git a/tests/e2e/test_font.py b/tests/e2e/test_font.py
index 6212eea..6f43372 100644
--- a/tests/e2e/test_font.py
+++ b/tests/e2e/test_font.py
@@ -1,9 +1,13 @@
 """A6: 日本語フォントの取得（失敗時の警告は1回・再試行なし、Cache Storage からの再利用）。"""
+import matplotlib
 import pytest
+from pathlib import Path
 
 from helpers import (
     load_fixture,
+    image_generation,
     plot_src,
+    render_generation,
     set_title,
     status_kind,
     status_warnings,
@@ -16,6 +20,18 @@
 pytestmark = pytest.mark.e2e
 
 FONT_GLOB = "**/NotoSansCJKjp-Regular.otf"
+# 16MB の実フォントの代わりに、matplotlib 同梱の小さな TTF を CDN の代役として配信する（登録・Cache Storage の経路は本物と同じ）
+STAND_IN_FONT = Path(matplotlib.get_data_path()) / "fonts" / "ttf" / "DejaVuSans.ttf"
+
+
+def _overrides(page, stall_ms, first_render_wait_ms):
+    page.add_init_script(
+        f"window.__MPLGUI_TEST_OVERRIDES__ = {{fontStallMs: {stall_ms}, fontFirstRenderWaitMs: {first_render_wait_ms}}};"
+    )
+
+
+def _font_state(page):
+    return page.evaluate("document.documentElement.dataset.fontState")
 
 
 def test_font_failure_warns_once_and_plot_still_renders(page, app_url, fixtures_dir, console_log):
@@ -44,15 +60,78 @@ def test_font_failure_warns_once_and_plot_still_renders(page, app_url, fixtures_
 def test_font_is_served_from_cache_storage_on_reload(page, app_url, console_log):
     requests = []
     page.on("request", lambda r: requests.append(r.url) if r.url.endswith("NotoSansCJKjp-Regular.otf") else None)
+    page.route(
+        FONT_GLOB,
+        lambda route: route.fulfill(status=200, content_type="font/ttf", body=STAND_IN_FONT.read_bytes()),
+    )
     page.goto(app_url)
     wait_app_ready(page)
     wait_font_done(page)
-    assert page.evaluate("document.documentElement.dataset.fontState") == "ready"
+    assert _font_state(page) == "ready", "font did not become ready (stand-in font served via page.route)"
     assert len(requests) == 1
     assert page.evaluate("caches.open('mplgui-fonts-v1').then(c => c.keys()).then(k => k.length)") == 1
 
     page.reload()
     wait_app_ready(page)
     wait_font_done(page)
-    assert page.evaluate("document.documentElement.dataset.fontState") == "ready"
+    assert _font_state(page) == "ready"
     assert len(requests) == 1  # 2回目はネットワークに出ない
+
+
+def test_stalled_font_fails_once_and_plot_renders(page, app_url, fixtures_dir, console_log):
+    _overrides(page, stall_ms=1000, first_render_wait_ms=500)
+    requests = []
+    held = []
+
+    def handler(route):
+        requests.append(route.request.url)
+        held.append(route)  # 応答せずに保持する（接続が止まった状態）
+
+    page.route(FONT_GLOB, handler)
+    page.goto(app_url)
+    wait_app_ready(page)
+    load_fixture(page, fixtures_dir / "utf8.csv")
+    wait_font_done(page, timeout=30_000)
+    assert _font_state(page) == "failed"
+    wait_settled(page)
+    assert plot_src(page).startswith("data:image/png")
+    warnings = status_warnings(page)
+    assert len(warnings) == 1 and "日本語フォント" in warnings[0]
+    assert status_kind(page) == "warning"
+
+    src = plot_src(page)
+    set_title(page, "再描画")
+    wait_plot_changed(page, src)
+    wait_settled(page)
+    page.wait_for_timeout(1500)
+    assert len(status_warnings(page)) == 1
+    assert len(requests) == 1  # 再試行しない
+
+
+def test_slow_font_renders_with_fallback_then_rerenders_once(page, app_url, fixtures_dir, console_log):
+    _overrides(page, stall_ms=60_000, first_render_wait_ms=500)
+    held = []
+    page.route(FONT_GLOB, lambda route: held.append(route))
+    page.goto(app_url)
+    wait_app_ready(page)
+    load_fixture(page, fixtures_dir / "utf8.csv")
+    wait_settled(page)
+    # フォントはまだ届いていないが、待ち時間の上限で最初の図が出る
+    assert _font_state(page) == "loading"
+    assert plot_src(page).startswith("data:image/png")
+    gen_before = int(render_generation(page))
+    img_gen_before = image_generation(page)
+    first_src = plot_src(page)
+    assert len(held) == 1
+
+    held[0].fulfill(status=200, content_type="font/ttf", body=STAND_IN_FONT.read_bytes())
+    wait_font_done(page, timeout=60_000)
+    assert _font_state(page) == "ready"
+    page.wait_for_function(
+        f"Number(document.documentElement.dataset.renderGeneration) > {gen_before}", timeout=60_000
+    )
+    wait_settled(page)
+    page.wait_for_timeout(1000)
+    assert int(render_generation(page)) == gen_before + 1  # 追加の描画はちょうど1回
+    assert image_generation(page) != img_gen_before
+    assert status_warnings(page) == []

From 579c09aa1ac2437c63c6c732f54bd450b321ffaf Mon Sep 17 00:00:00 2001
From: mioupa <mioupa.org@gmail.com>
Date: Wed, 7 Oct 2026 19:45:58 +0900
Subject: [PATCH 26/37] Avoid redundant draw in savefig after tight_layout

Drop the PlaceHolderLayoutEngine left by tight_layout() before savefig; real
engines are kept.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---
 py/mplgui/runner.py       | 12 +++++++
 tests/unit/test_runner.py | 72 +++++++++++++++++++++++++++++++++++++++
 2 files changed, 84 insertions(+)

diff --git a/py/mplgui/runner.py b/py/mplgui/runner.py
index 5a131bc..e845530 100644
--- a/py/mplgui/runner.py
+++ b/py/mplgui/runner.py
@@ -13,6 +13,7 @@
 
 import matplotlib.pyplot as plt
 import pandas as pd
+from matplotlib.layout_engine import PlaceHolderLayoutEngine
 
 from .errors import UserError
 from .plotting import (
@@ -84,6 +85,16 @@
 }
 
 
+def drop_placeholder_layout_engine(fig) -> None:
+    """tight_layout() 後に残る PlaceHolderLayoutEngine を外す（savefig が余分に全体を再描画するため）。
+
+    実際のエンジン（constrained / tight / compressed）は出力が変わるので外さない。
+    """
+    get = getattr(fig, "get_layout_engine", None)
+    if get is not None and isinstance(get(), PlaceHolderLayoutEngine):
+        fig.set_layout_engine(None)
+
+
 def figure_to_bytes(fig, file_format: str, transparent: bool = False, dpi: int = 120) -> tuple[bytes, str, str]:
     """Figure を指定形式のバイト列にする。戻り値は (bytes, mime, 拡張子)。"""
     fmt = (file_format or "").lower()
@@ -102,6 +113,7 @@ def figure_to_bytes(fig, file_format: str, transparent: bool = False, dpi: int =
         save_kwargs["transparent"] = True
 
     buffer = io.BytesIO()
+    drop_placeholder_layout_engine(fig)
     try:
         fig.savefig(buffer, format=save_format, **save_kwargs)
     except (ValueError, OverflowError, MemoryError) as exc:
diff --git a/tests/unit/test_runner.py b/tests/unit/test_runner.py
index 8e2ff9b..0e0ba9f 100644
--- a/tests/unit/test_runner.py
+++ b/tests/unit/test_runner.py
@@ -185,3 +185,75 @@ def boom(self, *a, **k):
     with pytest.raises(UserError) as info:
         make_figure(df, settings())
     assert "レイアウト" in info.value.message and "tight failed" in info.value.detail
+
+
+# ---------------------------------------------------------------- PlaceHolderLayoutEngine の除去
+
+
+def _default_fig(df):
+    from mplgui.plotting import create_figure
+
+    return create_figure(df, parse_settings(default_settings())).fig
+
+
+@pytest.mark.parametrize("fmt", ["png", "svg", "pdf"])
+def test_dropping_placeholder_engine_keeps_output_identical(df, fmt):
+    import io
+
+    import matplotlib as mpl
+    from matplotlib.layout_engine import PlaceHolderLayoutEngine
+
+    from mplgui.runner import drop_placeholder_layout_engine
+
+    meta = {"png": {"Software": None}, "svg": {"Date": None}, "pdf": {"CreationDate": None}}[fmt]
+    kw = {"dpi": 120} if fmt == "png" else {}
+
+    def render(drop):
+        fig = _default_fig(df)
+        try:
+            assert isinstance(fig.get_layout_engine(), PlaceHolderLayoutEngine)
+            if drop:
+                drop_placeholder_layout_engine(fig)
+                assert fig.get_layout_engine() is None
+            buf = io.BytesIO()
+            with mpl.rc_context({"svg.hashsalt": "fixed"}):
+                fig.savefig(buf, format=fmt, metadata=meta, **kw)
+            return buf.getvalue()
+        finally:
+            plt.close(fig)
+
+    assert render(False) == render(True)
+
+
+def test_real_layout_engine_is_kept(df):
+    from mplgui.runner import drop_placeholder_layout_engine
+
+    fig, ax = plt.subplots(layout="constrained")
+    ax.plot([0, 1], [0, 1])
+    try:
+        drop_placeholder_layout_engine(fig)
+        assert fig.get_layout_engine() is not None
+        assert fig.get_layout_engine().__class__.__name__ == "ConstrainedLayoutEngine"
+        figure_to_bytes(fig, "png")
+        assert fig.get_layout_engine().__class__.__name__ == "ConstrainedLayoutEngine"
+    finally:
+        plt.close(fig)
+
+
+def test_figure_to_bytes_draws_fewer_times(df, monkeypatch):
+    from matplotlib.figure import Figure
+
+    calls = {"n": 0}
+    orig = Figure.draw
+
+    def counting(self, *a, **k):
+        calls["n"] += 1
+        return orig(self, *a, **k)
+
+    fig = _default_fig(df)
+    try:
+        monkeypatch.setattr(Figure, "draw", counting)
+        figure_to_bytes(fig, "png")
+        assert calls["n"] == 1
+    finally:
+        plt.close(fig)

From d9f04ed05a6d2683302d4bdcf3f0f9df6163c9ea Mon Sep 17 00:00:00 2001
From: mioupa <mioupa.org@gmail.com>
Date: Wed, 7 Oct 2026 19:55:59 +0900
Subject: [PATCH 27/37] Load openpyxl lazily and skip micropip at startup

packages_cache=passthrough with only Pyodide-bundled packages; openpyxl and
et_xmlfile are installed from version-pinned wheel URLs via loadPackage the
first time an .xlsx is loaded, with a progress message and a Japanese error
on failure.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---
 js/bridge.js                   | 27 +++++++++++++++
 py/main.py                     | 52 +++++++++++++++++++++++++++-
 pyscript.toml                  |  7 ++--
 tests/e2e/test_excel_lazy.py   | 63 ++++++++++++++++++++++++++++++++++
 tests/unit/test_cdn_pinning.py |  7 ++++
 5 files changed, 153 insertions(+), 3 deletions(-)
 create mode 100644 tests/e2e/test_excel_lazy.py

diff --git a/js/bridge.js b/js/bridge.js
index deb25e0..606fc6d 100644
--- a/js/bridge.js
+++ b/js/bridge.js
@@ -35,6 +35,8 @@ let readyCallbacks = [];
 let fontState = "idle"; // idle | loading | ready | failed
 let fontPercent = null;
 let fontTask = null;
+let excelInstalling = false; // 初回の .xlsx 読込前に Excel 用ライブラリを取得中
+let excelReady = false;
 let fontWaitGaveUp = false; // 最初の描画がフォント待ちを打ち切った（以後は待たない）
 
 const setDataState = (state) => {
@@ -57,6 +59,8 @@ export const setCustomCodeProvider = (fn) => {
   customCodeProvider = fn;
 };
 
+const EXCEL_LOADING_MESSAGE = "Excel 読込用のライブラリを取得中…";
+
 const callPython = (name, ...args) => JSON.parse(api[name](...args));
 
 const reportError = (error) => {
@@ -70,6 +74,7 @@ const reportException = (err, context) => {
 // 進捗バナー: Python 起動中はその旨、起動後はフォント取得の進捗、どちらも無ければ非表示
 const refreshProgress = () => {
   if (!api) showProgress(PYTHON_LOADING_MESSAGE);
+  else if (excelInstalling) showProgress(EXCEL_LOADING_MESSAGE);
   else if (fontState === "loading") showProgress(fontPercent === null ? FONT_LOADING_MESSAGE : `${FONT_LOADING_MESSAGE} ${fontPercent}%`);
   else showProgress("");
 };
@@ -217,6 +222,28 @@ const doLoad = async () => {
   try {
     const bytes = new Uint8Array(await file.arrayBuffer());
     if (seq !== loadSeq) return;
+    if (!excelReady && /\.xlsx$/i.test(file.name)) {
+      excelInstalling = true;
+      setStatus(EXCEL_LOADING_MESSAGE);
+      refreshProgress();
+      let installed;
+      try {
+        installed = JSON.parse(await api.ensureExcel());
+      } finally {
+        excelInstalling = false;
+        refreshProgress();
+      }
+      if (seq !== loadSeq) return;
+      if (!installed.ok) {
+        setDataState("error");
+        loadWarnings = [];
+        showEncoding(undefined);
+        reportError(installed.error);
+        return;
+      }
+      excelReady = true;
+      setStatus("");
+    }
     const loadJson = JSON.stringify({ version: getSettings().version, load: getSettings().load });
     const result = callPython("loadFile", file.name, bytes, loadJson);
     if (seq !== loadSeq) return;
diff --git a/py/main.py b/py/main.py
index bd22f06..ad3c104 100644
--- a/py/main.py
+++ b/py/main.py
@@ -2,6 +2,9 @@
 
 JS（js/bridge.js）は window.mplgui の関数を呼ぶ。引数・戻り値は JSON 文字列。
 """
+import asyncio
+import json
+
 import matplotlib
 
 matplotlib.use("Agg")  # ブラウザ描画バックエンドを使わない（pyplot を import する前に指定する）
@@ -11,14 +14,60 @@
 configure_warnings()
 
 from js import CustomEvent, Object, window  # noqa: E402
-from pyodide.ffi import create_proxy  # noqa: E402
+from pyodide.ffi import create_proxy, to_js  # noqa: E402
 
 from mplgui import api  # noqa: E402
+from mplgui.errors import UserError  # noqa: E402
 from mplgui.fonts import configure_rcparams  # noqa: E402
 
 configure_rcparams()
 
 
+# openpyxl / et_xmlfile は Pyodide 同梱ではない。バージョン固定の wheel URL を Pyodide の loadPackage に直接渡す
+# （micropip と PyPI の問い合わせを避ける）。URL は PyPI JSON API で確認した files.pythonhosted.org の正規 URL。
+_EXCEL_WHEELS = [
+    "https://files.pythonhosted.org/packages/c1/8b/5fe2cc11fee489817272089c4203e679c63b570a5aaeb18d852ae3cbba6a/et_xmlfile-2.0.0-py3-none-any.whl",
+    "https://files.pythonhosted.org/packages/c0/da/977ded879c29cbd04de313843e76868e6e13408a94ed6b987245dc7c8506/openpyxl-3.1.5-py2.py3-none-any.whl",
+]
+_EXCEL_STATE = {"ready": False, "task": None}
+
+
+def _excel_available():
+    import importlib.util
+
+    return importlib.util.find_spec("openpyxl") is not None
+
+
+async def _install_excel():
+    import pyodide_js
+
+    await pyodide_js.loadPackage(to_js(_EXCEL_WHEELS))
+
+
+async def _ensure_excel():
+    """初回の .xlsx 読込前に JS から呼ぶ。2回目以降は何もしない。戻り値は JSON 文字列。"""
+    if _EXCEL_STATE["ready"] or _excel_available():
+        _EXCEL_STATE["ready"] = True
+        return json.dumps({"ok": True})
+    try:
+        if _EXCEL_STATE["task"] is None:
+            _EXCEL_STATE["task"] = asyncio.ensure_future(_install_excel())
+        await _EXCEL_STATE["task"]
+        if not _excel_available():
+            raise RuntimeError("openpyxl を導入後も import できません")
+        _EXCEL_STATE["ready"] = True
+        return json.dumps({"ok": True})
+    except Exception as exc:
+        _EXCEL_STATE["task"] = None  # 次回は再試行する
+        err = UserError(
+            "Excel読込用のライブラリを取得できませんでした。ネットワーク接続を確認して、もう一度ファイルを選択するか、"
+            "CSVで保存し直してから読み込んでください。",
+            field="入力ファイル",
+            detail=f"{type(exc).__name__}: {exc}",
+        )
+        return json.dumps({"ok": False, "error": err.to_dict()}, ensure_ascii=False)
+
+
 def _load_file(name, data, load_settings_json):
     return api.load_file_json(str(name), data.to_py(), str(load_settings_json))
 
@@ -42,6 +91,7 @@ def _register_font(data):
 
 # create_proxy の参照を保持しておく（GC されると JS から呼べなくなる）
 _PROXIES = {
+    "ensureExcel": create_proxy(_ensure_excel),
     "loadFile": create_proxy(_load_file),
     "render": create_proxy(_render),
     "save": create_proxy(_save),
diff --git a/pyscript.toml b/pyscript.toml
index 11de2ae..035789b 100644
--- a/pyscript.toml
+++ b/pyscript.toml
@@ -1,5 +1,8 @@
-# PyScript 2026.7.3 (Pyodide 314.0.3 / Python 3.14)。openpyxl は Pyodide 同梱ではないため PyPI から micropip で導入する。
-packages = ["pandas", "matplotlib", "openpyxl==3.1.5", "et_xmlfile==2.0.0"]
+# PyScript 2026.7.3 (Pyodide 314.0.3 / Python 3.14)。
+# passthrough: packages を micropip を介さず直接 loadPyodide に渡す（Pyodide 同梱パッケージだけなので PyPI 解決が不要）。
+# openpyxl / et_xmlfile は Pyodide 同梱ではないため、.xlsx を初めて読み込むときに py/main.py が遅延導入する。
+packages = ["pandas", "matplotlib"]
+packages_cache = "passthrough"
 
 # py/mplgui/*.py を Pyodide の仮想FS（カレントディレクトリ直下）に配置し、`import mplgui` できるようにする。
 # キーは取得元（ページからの相対パス）、値は配置先。
diff --git a/tests/e2e/test_excel_lazy.py b/tests/e2e/test_excel_lazy.py
new file mode 100644
index 0000000..b8f56cb
--- /dev/null
+++ b/tests/e2e/test_excel_lazy.py
@@ -0,0 +1,63 @@
+"""openpyxl / et_xmlfile は起動時に取得せず、.xlsx を初めて読み込むときに1回だけ導入する。"""
+import pytest
+
+from helpers import load_fixture, status_kind, wait_app_ready, wait_data_ready, wait_settled
+
+pytestmark = pytest.mark.e2e
+
+FONT_GLOB = "**/NotoSansCJKjp-Regular.otf"
+EXCEL_MARKERS = ("openpyxl", "et_xmlfile")
+
+
+def _excel_requests(urls):
+    return [u for u in urls if any(m in u for m in EXCEL_MARKERS) or "pypi.org" in u]
+
+
+def _track(page):
+    urls = []
+    page.on("request", lambda r: urls.append(r.url))
+    page.route(FONT_GLOB, lambda route: route.abort())  # フォントは本テストの対象外
+    return urls
+
+
+def test_startup_does_not_fetch_excel_wheels(page, app_url, console_log):
+    urls = _track(page)
+    page.goto(app_url)
+    wait_app_ready(page)
+    assert _excel_requests(urls) == []
+
+
+def test_xlsx_installs_once_then_loads(page, app_url, fixtures_dir, console_log):
+    urls = _track(page)
+    page.goto(app_url)
+    wait_app_ready(page)
+
+    load_fixture(page, fixtures_dir / "multi_sheet.xlsx")
+    wait_settled(page)
+    first = _excel_requests(urls)
+    assert len([u for u in first if "openpyxl" in u and u.endswith(".whl")]) == 1
+    assert len([u for u in first if "et_xmlfile" in u and u.endswith(".whl")]) == 1
+    assert all(u.startswith("https://files.pythonhosted.org/") for u in first), first
+    assert "Excel" in page.inner_text("#encodingLabel")
+
+    # 2回目の .xlsx 読込では取得しない
+    page.set_input_files("#fileInput", str(fixtures_dir / "multi_sheet.xlsx"))
+    page.wait_for_function("document.documentElement.dataset.loadCount === '2'")
+    wait_settled(page)
+    assert _excel_requests(urls) == first
+
+
+def test_xlsx_install_failure_shows_japanese_error_and_csv_still_works(page, app_url, fixtures_dir, console_log):
+    _track(page)
+    page.route("**/files.pythonhosted.org/**", lambda route: route.abort())
+    page.goto(app_url)
+    wait_app_ready(page)
+
+    page.set_input_files("#fileInput", str(fixtures_dir / "multi_sheet.xlsx"))
+    page.wait_for_function("document.documentElement.dataset.dataState === 'error'")
+    assert status_kind(page) == "error"
+    text = page.inner_text("#status")
+    assert "ネットワーク" in text and "CSV" in text
+
+    load_fixture(page, fixtures_dir / "utf8.csv")
+    wait_settled(page)
diff --git a/tests/unit/test_cdn_pinning.py b/tests/unit/test_cdn_pinning.py
index 41ecf72..19a2ac6 100644
--- a/tests/unit/test_cdn_pinning.py
+++ b/tests/unit/test_cdn_pinning.py
@@ -13,6 +13,8 @@
 PINNED = [
     ("pyscript.net", re.compile(r"^/releases/\d{4}\.\d+\.\d+/")),
     ("cdn.jsdelivr.net", re.compile(r"^/npm/(@[\w.-]+/)?[\w.-]+@\d+\.\d+\.\d+(?:[-+.\w]*)?/")),
+    # 遅延導入する Excel 用 wheel: ハッシュ付きの正規パスで、ファイル名にバージョンを含むもののみ
+    ("files.pythonhosted.org", re.compile(r"^/packages/[0-9a-f]{2}/[0-9a-f]{2}/[0-9a-f]{60}/[\w.]+-\d+(?:\.\d+)+-[\w.]+-[\w.]+-[\w.]+\.whl$")),
     ("cdn.jsdelivr.net", re.compile(r"^/gh/[\w.-]+/[\w.-]+@(?!main\b|master\b|latest\b)[\w.-]*\d[\w.-]*/")),
 ]
 NAMESPACE_HOSTS = {"www.w3.org"}  # SVG などの名前空間 URI（取得されない）
@@ -62,6 +64,9 @@ def test_all_urls_are_pinned():
         "https://fonts.googleapis.com/css2?family=Noto+Sans+JP",
         "https://pyscript.net/latest/core.js",
         "https://example.com/x.js",
+        "https://files.pythonhosted.org/packages/source/o/openpyxl/openpyxl-3.1.5.tar.gz",
+        "https://files.pythonhosted.org/packages/c0/da/977ded879c29cbd04de313843e76868e6e13408a94ed6b987245dc7c8506/openpyxl.whl",
+        "https://pypi.org/simple/openpyxl/",
     ],
 )
 def test_checker_rejects_unpinned(url):
@@ -74,6 +79,8 @@ def test_checker_rejects_unpinned(url):
         "https://cdn.jsdelivr.net/gh/googlefonts/noto-cjk@Sans2.004/Sans/OTF/Japanese/NotoSansCJKjp-Regular.otf",
         "https://cdn.jsdelivr.net/npm/@fontsource/noto-sans-jp@5.3.0/400.css",
         "https://pyscript.net/releases/2026.7.3/core.js",
+        "https://files.pythonhosted.org/packages/c0/da/977ded879c29cbd04de313843e76868e6e13408a94ed6b987245dc7c8506/openpyxl-3.1.5-py2.py3-none-any.whl",
+        "https://files.pythonhosted.org/packages/c1/8b/5fe2cc11fee489817272089c4203e679c63b570a5aaeb18d852ae3cbba6a/et_xmlfile-2.0.0-py3-none-any.whl",
     ],
 )
 def test_checker_accepts_pinned(url):

From a84da6be5f4ccf0fd2b3622107584134bab6e1b4 Mon Sep 17 00:00:00 2001
From: mioupa <mioupa.org@gmail.com>
Date: Wed, 7 Oct 2026 20:11:29 +0900
Subject: [PATCH 28/37] Add GitHub Actions CI (unit on push, E2E on PR) with
 Pages sub-path serving

E2E server gains E2E_BASE_PATH so the app is served under /matplotlib_gui/
like GitHub Pages; the E2E job builds the site with jekyll-build-pages.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---
 .github/workflows/tests.yml | 63 +++++++++++++++++++++++++++++++++++++
 .gitignore                  |  1 +
 _config.yml                 |  1 +
 tests/e2e/conftest.py       |  7 +++--
 tests/e2e/server.py         | 33 ++++++++++++++++---
 5 files changed, 99 insertions(+), 6 deletions(-)
 create mode 100644 .github/workflows/tests.yml

diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml
new file mode 100644
index 0000000..bf33ba4
--- /dev/null
+++ b/.github/workflows/tests.yml
@@ -0,0 +1,63 @@
+name: tests
+
+on:
+  push:
+  pull_request:
+  workflow_dispatch:
+
+permissions:
+  contents: read
+
+concurrency:
+  group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}
+  cancel-in-progress: true
+
+jobs:
+  unit:
+    name: unit
+    runs-on: ubuntu-latest
+    timeout-minutes: 10
+    steps:
+      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+        with:
+          persist-credentials: false
+      - uses: astral-sh/setup-uv@c18668ad3cf93ea998bef934396af7bb5c839dc7 # v10.2.0
+        with:
+          enable-cache: true
+      - run: uv sync --locked
+      - run: uv run pytest
+
+  e2e:
+    name: e2e
+    # push では実行しない（pull_request と手動実行のみ）
+    if: github.event_name == 'pull_request' || github.event_name == 'workflow_dispatch'
+    runs-on: ubuntu-latest
+    timeout-minutes: 30
+    steps:
+      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+        with:
+          persist-credentials: false
+      # GitHub Pages (legacy build) と同じ Jekyll ビルドで _site を作る
+      - uses: actions/jekyll-build-pages@44a6e6beabd48582f863aeeb6cb2151cc1716697 # v1.0.13
+        with:
+          source: ./
+          destination: ./_site
+      - uses: astral-sh/setup-uv@c18668ad3cf93ea998bef934396af7bb5c839dc7 # v10.2.0
+        with:
+          enable-cache: true
+      - run: uv sync --locked
+      - run: uv run playwright install --with-deps chromium
+      # Pages と同じ /matplotlib_gui/ サブパス配下で配信して検証する
+      - name: Run E2E tests
+        env:
+          E2E_SERVE_DIR: _site
+          E2E_BASE_PATH: /matplotlib_gui/
+        run: uv run pytest tests/e2e --tracing retain-on-failure --output test-results
+      - name: Upload Playwright traces
+        if: failure()
+        uses: actions/upload-artifact@cf430e030ddbb5b0abf93d22962f4752f3646cd9 # v7.0.2
+        with:
+          name: test-results
+          path: test-results/
+          if-no-files-found: ignore
+          retention-days: 7
diff --git a/.gitignore b/.gitignore
index 85bc1e8..ee916cd 100644
--- a/.gitignore
+++ b/.gitignore
@@ -7,3 +7,4 @@ test-results/
 # ベンチマークの出力・生成データ
 tests/perf/out/
 tests/perf/.tmp/
+_site/
diff --git a/_config.yml b/_config.yml
index 768aefa..998a717 100644
--- a/_config.yml
+++ b/_config.yml
@@ -10,3 +10,4 @@ exclude:
   - pyproject.toml
   - uv.lock
   - .python-version
+  - .github/
diff --git a/tests/e2e/conftest.py b/tests/e2e/conftest.py
index 7d87b55..3198a7d 100644
--- a/tests/e2e/conftest.py
+++ b/tests/e2e/conftest.py
@@ -13,9 +13,12 @@
 
 @pytest.fixture(scope="session")
 def app_url():
-    """E2E_SERVE_DIR（既定: リポジトリルート）を配信するローカルサーバーのURL。"""
+    """E2E_SERVE_DIR（既定: リポジトリルート）を配信するローカルサーバーのURL。
+
+    E2E_BASE_PATH（例: /matplotlib_gui/）を指定すると、そのサブパス配下で配信する（既定: /）。
+    """
     root = Path(os.environ.get("E2E_SERVE_DIR") or REPO)
-    srv, url = start_server(root)
+    srv, url = start_server(root, os.environ.get("E2E_BASE_PATH"))
     yield url
     srv.shutdown()
 
diff --git a/tests/e2e/server.py b/tests/e2e/server.py
index 336e743..458b845 100644
--- a/tests/e2e/server.py
+++ b/tests/e2e/server.py
@@ -1,17 +1,42 @@
-"""静的HTTPサーバー（stdlib）。E2Eとベンチマークで共用する。"""
+"""静的HTTPサーバー（stdlib）。E2Eとベンチマークで共用する。
+
+base_path（例: "/matplotlib_gui/"）を指定すると、GitHub Pages のプロジェクトサイトと同様に
+そのサブパス配下でのみ配信する（範囲外のリクエストは404）。絶対パス参照の検出に使う。
+"""
 import functools
 import http.server
+import os
 import threading
 from pathlib import Path
 
 
+def normalize_base_path(base_path: str | None) -> str:
+    bp = (base_path or "/").strip()
+    return "/" + bp.strip("/") + "/" if bp.strip("/") else "/"
+
+
 class _Quiet(http.server.SimpleHTTPRequestHandler):
+    base_path = "/"
+
     def log_message(self, *a, **k):
         pass
 
+    def translate_path(self, path):
+        bp = self.base_path
+        if bp != "/":
+            raw = path.split("?", 1)[0].split("#", 1)[0]
+            if raw == bp.rstrip("/"):
+                return os.devnull + "/__outside__"  # send_head が 404 にする
+            if not raw.startswith(bp):
+                return os.devnull + "/__outside__"
+            path = "/" + path[len(bp):]
+        return super().translate_path(path)
+
 
-def start_server(directory) -> tuple[http.server.ThreadingHTTPServer, str]:
-    handler = functools.partial(_Quiet, directory=str(Path(directory)))
+def start_server(directory, base_path: str | None = None) -> tuple[http.server.ThreadingHTTPServer, str]:
+    bp = normalize_base_path(base_path)
+    handler_cls = type("_Handler", (_Quiet,), {"base_path": bp})
+    handler = functools.partial(handler_cls, directory=str(Path(directory)))
     srv = http.server.ThreadingHTTPServer(("127.0.0.1", 0), handler)
     threading.Thread(target=srv.serve_forever, daemon=True).start()
-    return srv, f"http://127.0.0.1:{srv.server_address[1]}/"
+    return srv, f"http://127.0.0.1:{srv.server_address[1]}{bp}"

From fcfab520d27e5dd600cc4dab43e6f3550f338f3c Mon Sep 17 00:00:00 2001
From: mioupa <mioupa.org@gmail.com>
Date: Wed, 7 Oct 2026 20:11:29 +0900
Subject: [PATCH 29/37] Raise test server listen backlog to stop E2E connection
 resets

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---
 tests/e2e/server.py | 11 +++++++++--
 1 file changed, 9 insertions(+), 2 deletions(-)

diff --git a/tests/e2e/server.py b/tests/e2e/server.py
index 458b845..8b0ee09 100644
--- a/tests/e2e/server.py
+++ b/tests/e2e/server.py
@@ -33,10 +33,17 @@ def translate_path(self, path):
         return super().translate_path(path)
 
 
-def start_server(directory, base_path: str | None = None) -> tuple[http.server.ThreadingHTTPServer, str]:
+class _Server(http.server.ThreadingHTTPServer):
+    # 既定の listen backlog (5) だと、Chromium が ES モジュール等を一斉に取得した際に
+    # 接続が溢れて ERR_CONNECTION_RESET になり、アプリが起動しないことがあるため広げる
+    request_queue_size = 128
+    daemon_threads = True
+
+
+def start_server(directory, base_path: str | None = None) -> tuple[_Server, str]:
     bp = normalize_base_path(base_path)
     handler_cls = type("_Handler", (_Quiet,), {"base_path": bp})
     handler = functools.partial(handler_cls, directory=str(Path(directory)))
-    srv = http.server.ThreadingHTTPServer(("127.0.0.1", 0), handler)
+    srv = _Server(("127.0.0.1", 0), handler)
     threading.Thread(target=srv.serve_forever, daemon=True).start()
     return srv, f"http://127.0.0.1:{srv.server_address[1]}{bp}"

From b3140222ff34f47e9b0eecaed62e05d3d5e22c7b Mon Sep 17 00:00:00 2001
From: mioupa <mioupa.org@gmail.com>
Date: Wed, 7 Oct 2026 20:20:15 +0900
Subject: [PATCH 30/37] Tell the user when page scripts fail to load

Add onerror handlers on the module script tags (js/main.js, PyScript core.js) that
show a Japanese error in #status and #progress instead of staying on "loading".

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---
 index.html                     | 27 +++++++++++++++++++++++++--
 js/ui/progress.js              |  1 +
 tests/e2e/test_load_failure.py | 28 ++++++++++++++++++++++++++++
 3 files changed, 54 insertions(+), 2 deletions(-)
 create mode 100644 tests/e2e/test_load_failure.py

diff --git a/index.html b/index.html
index 5621fb3..3693f77 100644
--- a/index.html
+++ b/index.html
@@ -11,8 +11,31 @@
     <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/@fontsource/noto-sans-jp@5.3.0/700.css" />
     <link rel="stylesheet" href="https://pyscript.net/releases/2026.7.3/core.css" />
     <link rel="stylesheet" href="css/style.css" />
-    <script type="module" src="./js/main.js"></script>
-    <script type="module" src="https://pyscript.net/releases/2026.7.3/core.js"></script>
+    <!-- 画面のスクリプト（js/main.js とその import、PyScript の core.js）の読み込みに失敗したとき、
+         何も起きないまま読み込み中で止まらないよう利用者に知らせる。他のモジュールに依存しない古典スクリプトで定義する。 -->
+    <script>
+      window.__mplguiLoadFailed = function () {
+        var message = "画面の読み込みに失敗しました。ネットワーク接続を確認して、ページを再読み込みしてください。";
+        var show = function () {
+          document.documentElement.dataset.appState = "failed";
+          var status = document.getElementById("status");
+          if (status) {
+            status.textContent = message;
+            status.dataset.kind = "error";
+          }
+          var progress = document.getElementById("progress");
+          if (progress) {
+            progress.textContent = message;
+            progress.hidden = false;
+          }
+        };
+        document.documentElement.dataset.loadFailed = "true";
+        if (document.readyState === "loading") document.addEventListener("DOMContentLoaded", show);
+        else show();
+      };
+    </script>
+    <script type="module" src="./js/main.js" onerror="__mplguiLoadFailed()"></script>
+    <script type="module" src="https://pyscript.net/releases/2026.7.3/core.js" onerror="__mplguiLoadFailed()"></script>
   </head>
   <body>
     <div class="layout">
diff --git a/js/ui/progress.js b/js/ui/progress.js
index bbb098a..974d7ff 100644
--- a/js/ui/progress.js
+++ b/js/ui/progress.js
@@ -2,6 +2,7 @@
 export const showProgress = (text) => {
   const el = document.getElementById("progress");
   if (!el) return;
+  if (document.documentElement.dataset.loadFailed) return; // 読み込み失敗の案内（index.html）を上書きしない
   el.textContent = text || "";
   el.hidden = !text;
 };
diff --git a/tests/e2e/test_load_failure.py b/tests/e2e/test_load_failure.py
new file mode 100644
index 0000000..83d63b7
--- /dev/null
+++ b/tests/e2e/test_load_failure.py
@@ -0,0 +1,28 @@
+"""スクリプトの読み込み失敗（ネットワークエラー）を利用者に知らせる。"""
+import pytest
+
+pytestmark = pytest.mark.e2e
+
+MESSAGE = "画面の読み込みに失敗しました"
+
+
+def _assert_failure_shown(page):
+    page.wait_for_function("document.documentElement.dataset.appState === 'failed'", timeout=60_000)
+    assert MESSAGE in page.inner_text("#status")
+    assert page.get_attribute("#status", "data-kind") == "error"
+    assert MESSAGE in page.inner_text("#progress")
+    assert page.is_visible("#progress")
+
+
+def test_failed_js_module_is_reported(page, app_url):
+    page.route("**/js/ui/tabs.js", lambda route: route.abort())
+    page.goto(app_url)
+    _assert_failure_shown(page)
+
+
+def test_failed_pyscript_core_is_reported(page, app_url):
+    page.route("**/pyscript.net/releases/**/core.js", lambda route: route.abort())
+    page.goto(app_url)
+    _assert_failure_shown(page)
+    # main.js 側は動いていても、案内が「読み込み中」で上書きされない
+    assert "Python 実行環境を読み込み中" not in page.inner_text("#progress")

From 4c19731050827d74802361ddf6221843e63403fa Mon Sep 17 00:00:00 2001
From: mioupa <mioupa.org@gmail.com>
Date: Wed, 7 Oct 2026 20:22:37 +0900
Subject: [PATCH 31/37] Record Phase 1 performance and add .xlsx first-load
 benchmark

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---
 docs/PERFORMANCE.md | 49 ++++++++++++++++++++++++++++++++++++++++++++-
 tests/perf/bench.py | 27 +++++++++++++++++++++++++
 2 files changed, 75 insertions(+), 1 deletion(-)

diff --git a/docs/PERFORMANCE.md b/docs/PERFORMANCE.md
index a767702..cc97a6a 100644
--- a/docs/PERFORMANCE.md
+++ b/docs/PERFORMANCE.md
@@ -63,4 +63,51 @@
 
 ## Phase 1 後
 
-（Phase 1 完了後に同じスクリプトで計測し、ここに記入する）
+### 計測条件
+
+| 項目 | 内容 |
+|---|---|
+| 日付 | 2026-10-07 |
+| 対象 | `b314022`（Phase 1 の最終コードに、Excel 読込の計測行を追加した `tests/perf/bench.py` を組み合わせたもの）。PyScript 2026.7.3 / Pyodide 314.0.3 |
+| マシン | Mac16,10 / Apple M4 / メモリ 24 GB |
+| OS | macOS 27.0.1 |
+| ブラウザ | Chromium 153.0.8010.12（Playwright、ヘッドレス） |
+| ネットワーク | 実ネットワーク（ベースラインと同じ） |
+| 配信 | ローカルの静的 HTTP サーバー（127.0.0.1、サブパスなし） |
+| 反復 | 各項目 N=5。計測方法はベースラインと同じ |
+
+追加した項目: 「初回 .xlsx 読込 → 最初のプロット」。ページを開いた直後に `tests/fixtures/multi_sheet.xlsx` を選び、Excel 用 wheel（openpyxl / et_xmlfile）の遅延取得と読込を含めて測る。HTTP キャッシュは温めた状態（ベースラインに対応する値はない）。
+
+### 結果（ミリ秒、中央値 / 最小 / 最大）
+
+| 項目 | ベースライン | PyScript 2026.7.3 移行直後 | Phase 1 後 | ベースライン比 |
+|---|---:|---:|---:|---|
+| コールド起動 | 3,424 / 3,411 / 6,003 | 4,076 / 4,015 / 6,420 | 3,650 / 3,593 / 6,581 | 悪い（+7%） |
+| ウォーム起動 | 2,881 / 2,877 / 2,884 | 3,623 / 3,573 / 3,726 | 3,462 / 3,432 / 3,469 | 悪い（+20%） |
+| 初回ファイル読込 → 最初のプロット | 417 / 405 / 422 | 422 / 389 / 435 | 186 / 184 / 187 | 良い（-55%）※ |
+| 設定変更 → プロット更新（デバウンス込み） | 413 / 401 / 422 | 556 / 550 / 566 | 474 / 469 / 476 | 悪い（+15%） |
+| 同上（デバウンス 250ms 除く） | 163 / 151 / 172 | 306 / 300 / 316 | 224 / 219 / 226 | 悪い（+37%） |
+| 保存（PNG、クリック → ダウンロード開始） | 206 / 201 / 214 | 330 / 323 / 349 | 257 / 246 / 262 | 悪い（+25%） |
+| 初回 .xlsx 読込 → 最初のプロット | （計測なし） | （計測なし） | 336 / 335 / 339 | - |
+
+※ 初回プロットの短縮の原因は切り分けていない（Phase 1 で読込・描画の経路が変わったことと、計測時にフォントが Cache Storage から読み込み済みであることが関係する可能性がある）。改善幅は参考値として扱う。
+
+コールド起動の最大値は1回目の反復のみ（CDN・OS 側のキャッシュが冷えていたため）で、2回目以降は約3.6秒。
+
+### 分析
+
+プロファイリング調査（A/B、n=4〜6）で、起動の差の由来を切り分けた。
+
+- ウォーム起動がベースラインより約 +0.5〜0.6 秒遅い差は、ランタイム自体に由来する。内訳の目安は、Pyodide 314 / Python 3.14 の起動で +150〜170 ms、パッケージの読込で +100〜140 ms、`import matplotlib` で +190〜250 ms、`import pandas` で +約100 ms。
+- PyScript を介さない素の Pyodide ページでも同じ差が出る。アプリ側のコードが起動時間を増やしているわけではない。
+
+Phase 1 で行った改善:
+
+- openpyxl の遅延導入: バージョン固定の wheel URL と `packages_cache = "passthrough"` により、起動時に micropip を使わない。コールド起動で約 -340 ms（移行直後 4,076 → 3,650 ms の大部分）。代わりに、初めて .xlsx を読むときに wheel を取得する（上表の 336 ms を含む）。
+- 保存・描画前に matplotlib 3.10 の `PlaceHolderLayoutEngine` を外す: 描画・保存で約 -65 ms、出力はバイト単位で同一。
+- Agg バックエンドを使う（`matplotlib_pyodide` のバックエンドを使わない）。
+- 日本語フォントを Cache Storage に保存する: 2回目以降の訪問では約16 MB の再ダウンロードが発生しない（E2E テストで確認）。
+
+ベースラインとの比較では、起動（コールド・ウォーム）、再描画、保存はいずれも悪い。移行直後よりは改善したが、ベースラインには戻っていない。要件（8章）の「起動時間を F6 の現状値より悪くしない」は満たしていない。初回ファイル読込 → 最初のプロットは良い（上の注記のとおり参考値）。
+
+ウォーム起動に残る差（約 +0.5 秒）をどう扱うか（許容する、Pyodide の旧版へ戻す、など）は、オーナーの判断待ち。
diff --git a/tests/perf/bench.py b/tests/perf/bench.py
index a696757..7fde7d0 100644
--- a/tests/perf/bench.py
+++ b/tests/perf/bench.py
@@ -130,6 +130,31 @@ def bench_render(browser, url, reps, csv_path):
     return first_plot, change, save
 
 
+def bench_xlsx(browser, url, reps, xlsx_path):
+    """初回の .xlsx 読込 → 最初のプロット（Excel 用 wheel の遅延取得を含む。HTTP キャッシュは温めた状態）。"""
+    out = []
+    ctx = browser.new_context()
+    p0 = ctx.new_page()
+    p0.goto(url, timeout=TIMEOUT)
+    wait_app_ready(p0, TIMEOUT)
+    load_fixture(p0, xlsx_path)
+    wait_plot_changed(p0, "", TIMEOUT)
+    p0.close()
+    for _ in range(reps):
+        page = ctx.new_page()
+        page.set_default_timeout(TIMEOUT)
+        page.goto(url)
+        wait_app_ready(page, TIMEOUT)
+        t = time.perf_counter()
+        page.set_input_files("#fileInput", str(xlsx_path))
+        wait_data_ready(page, TIMEOUT)
+        wait_plot_changed(page, "", TIMEOUT)
+        out.append((time.perf_counter() - t) * 1000)
+        page.close()
+    ctx.close()
+    return out
+
+
 def fmt(name, xs):
     s = stats(xs)
     return f"{name:<44} median {s['median']:9.0f}  min {s['min']:9.0f}  max {s['max']:9.0f}  (ms, n={s['n']})"
@@ -151,12 +176,14 @@ def main():
         print("chromium", browser.version, "headed" if a.headed else "headless", "platform", platform.platform())
         cold, warm = bench_startup(browser, url, a.reps)
         first, change, save = bench_render(browser, url, a.reps, csv_path)
+        xlsx = bench_xlsx(browser, url, a.reps, REPO / "tests" / "fixtures" / "multi_sheet.xlsx")
         browser.close()
     res = {
         "cold_startup_ms": cold, "warm_startup_ms": warm,
         "first_plot_ms": first, "change_to_plot_ms": change,
         "change_to_plot_minus_debounce_ms": [c - DEBOUNCE_MS for c in change],
         "save_png_ms": save,
+        "first_xlsx_plot_ms": xlsx,
     }
     for k, v in res.items():
         print(fmt(k, v))

From 678e372eee218da4caaf3b5458a23b464d1e1c00 Mon Sep 17 00:00:00 2001
From: mioupa <mioupa.org@gmail.com>
Date: Wed, 7 Oct 2026 20:23:13 +0900
Subject: [PATCH 32/37] Rewrite README for the Phase 1 state

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---
 README.md | 54 +++++++++++++++++++++++++++++++++++++++++++++---------
 1 file changed, 45 insertions(+), 9 deletions(-)

diff --git a/README.md b/README.md
index 78f7274..73feb53 100644
--- a/README.md
+++ b/README.md
@@ -1,15 +1,51 @@
-# matplotlib browser GUI
+# Matplotlib GUI
 
-`index.html`をブラウザで開くだけで、`matplotlib`をGUI操作できます。
+CSV / TXT / XLSX のデータから、ブラウザ上の操作だけで matplotlib の図を作るツールです。サーバーを使わず、Python（PyScript / Pyodide）をブラウザの中で実行します。
 
 ## 使い方
 
-1. `index.html` をブラウザで開く
-2. `.xlsx/.csv/.txt` を選択
-3. 必要なら区切り文字や列を指定
-4. `描画する` を押す
+https://mioupa.github.io/matplotlib_gui/ を開いてください。`index.html` を `file://` で直接開く使い方には対応していません。
 
-## 注意
+1. 「入力ファイル」で `.csv` / `.txt` / `.xlsx` を選びます。
+2. 読み込みと描画は自動で行われます（「描画する」ボタンはありません）。設定を変えると、すぐ再描画されます。
+3. 「描画系列」でX列・Y列・色などを選び、必要なら系列を追加します。
+4. 「保存設定」でファイル名と形式を選び、「保存する」で書き出します。
 
-- 初回はブラウザ側のPythonパッケージ読込で時間がかかることがあります。
-- 完全ブラウザ実行のため、サーバー起動は不要です。
+対応する文字コードは UTF-8、UTF-8（BOM付き）、Shift_JIS（CP932）、EUC-JP です。判定した文字コードは、読み込み後に画面へ表示されます。
+
+## 主な機能
+
+- 系列カード（複数系列、X/Y列、色、線幅、線種、点サイズ、凡例名）と、第2Y軸
+- プロット種別: line / scatter / bar
+- 軸の対数表示と範囲指定、余白指定、主目盛線・副目盛線、凡例位置
+- 保存: png / jpg / svg / pdf、背景透過
+- データ確認タブ: 先頭100行を表示し、描画から除外される先頭行をグレーで表示
+- Pythonコード(beta)タブ: 描画用コードの確認と実行（Phase 2 で作り替え予定）
+- 数値に変換できず除外した値の警告、日本語のエラーメッセージ
+
+## プライバシー
+
+読み込んだデータの処理はすべてブラウザの中で行い、外部には送信しません。外部への通信は、ライブラリ（PyScript / Pyodide / pandas / matplotlib など）とフォントの取得だけです。
+
+初回の訪問では、Pyodide とライブラリ（数十 MB）と、日本語フォント（約 16 MB）をダウンロードするため、時間がかかります。2回目以降はキャッシュを使います（フォントはブラウザの Cache Storage に保存し、再ダウンロードしません）。
+
+## 開発
+
+開発用の依存は [uv](https://docs.astral.sh/uv/) で管理します（実行時には使いません）。
+
+```sh
+uv sync
+uv run playwright install chromium
+uv run pytest                 # 単体テスト
+uv run pytest tests/e2e       # E2E テスト（Chromium で実際に動かす）
+uv run python -m http.server  # ローカルで確認: http://localhost:8000/
+uv run python tests/perf/bench.py --reps 5   # 起動・描画の計測（結果は docs/PERFORMANCE.md）
+```
+
+CI（GitHub Actions）は、push のたびに単体テストを、プルリクエストのたびに E2E テストを実行します。E2E は Pages と同じ Jekyll ビルドの結果を `/matplotlib_gui/` 配下で配信して検証します。
+
+要件は `docs/REQUIREMENTS.md`、AI エージェント向けの引き継ぎ情報は `AGENTS.md` にあります。
+
+## ライセンス
+
+[LICENSE.md](LICENSE.md)（MIT License）を参照してください。

From ae0e606f578506394c9720f532f9d8725aefa185 Mon Sep 17 00:00:00 2001
From: mioupa <mioupa.org@gmail.com>
Date: Wed, 7 Oct 2026 20:23:55 +0900
Subject: [PATCH 33/37] Rewrite AGENTS.md for the Phase 1 implementation

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---
 AGENTS.md | 255 +++++++++++++++++++++++++++++-------------------------
 1 file changed, 135 insertions(+), 120 deletions(-)

diff --git a/AGENTS.md b/AGENTS.md
index 5788562..fdfe30d 100644
--- a/AGENTS.md
+++ b/AGENTS.md
@@ -1,122 +1,137 @@
-# matplotlibをブラウザGUIで操作するための実装方針（引き継ぎ用・詳細）
-
-## 1. ゴール
-- `index.html` をブラウザで開くだけで `matplotlib` 描画をGUI操作する。
-- サーバー（FastAPI等）は使わず、ブラウザ内Python実行（PyScript / Pyodide）で完結する。
-- 入力ファイルは `.xlsx / .csv / .txt` に対応する。
-
-## 2. 現在の実装構成
-- 実装ファイルは **`index.html` 単体**。
-- 構成要素:
-  - HTML/CSS: 画面UI（設定フォーム、タブ、データ表、色オーバーレイ）
-  - JavaScript: 自動読込/自動描画の制御、系列カードUI、色選択UI、エラー抑制
-  - Python（`<py-script>`内）:
-    - 読み込み処理: `pandas`
-    - 描画処理: `matplotlib`
-    - DOM連携: `js` / `pyodide.ffi.create_proxy`
-- `py-config` のパッケージ:
-  - `pandas`
-  - `matplotlib`
-  - `openpyxl`
-
-## 3. 画面仕様（現在）
-### 3.1 データ読み込み
-- 入力ファイル選択（`.xlsx/.csv/.txt`）
-- 区切り文字
-- ヘッダ有無
-- 読み込みボタンは廃止済み（自動読込）
-
-### 3.2 描画設定
-- プロット種別: `line / scatter / bar`
-- スキップ行数: 「描画設定」先頭に配置
-- 系列はカード方式（`+ 系列を追加`）で複数追加可能
-  - 各系列: X列、Y列、色、線幅、線種、点サイズ、凡例名（任意）、第2軸使用
-- タイトル、X/Yラベル
-- 第2Yラベル（第2軸系列が1つでもある時のみ表示）
-- フォントサイズ（既定15）
-- major/minor目盛線の表示切替
-- 凡例位置（日本語ラベルで選択）
-- 図幅/図高さ（既定 8x6）
-- 描画ボタンは廃止済み（自動描画）
-
-### 3.3 保存設定
-- 保存ファイル名（空欄時は `plot.<拡張子>`）
-- 保存形式: `png / jpg / svg / pdf`
-- 保存ボタンでダウンロード
-
-### 3.4 表示エリア
-- タブ切替: `プロット / データ確認`
-- データ確認は先頭100行を表示
-- 行番号列 `#` を表示
-- `skipRows` 対象の先頭行はグレーアウト（描画で除外される行を視覚化）
-
-## 4. 自動処理の仕様
-- ファイル選択・区切り文字変更・ヘッダ変更時: 自動で再読込。
-- 描画設定変更時: 自動で再描画。
-- 成功時はステータスに成功メッセージを表示。
-- エラー時のみエラーメッセージを表示。
-
-## 5. 系列と描画ロジック
-- 同名列対応のため列指定値は `__idx__<列番号>` 形式を維持。
-- `line` と `scatter` は系列ごとにX列指定可能。
-- `bar` は共通X列を使用。
-- `line` でも点表示可（点サイズ > 0 で表示）。
-- 点サイズの既定:
-  - `line`: 0
-  - `scatter`: 24
-- `scatter`選択時、点サイズが0以下なら自動で24に補正。
-- `scatter` から `line` に戻す際、24のままなら0へ戻す。
-- 線幅の既定は2。
-- 各系列で第2軸を有効化可能（`twinx`）。
-
-## 6. 色指定UI
-- UDカラーセットを既定候補として提供:
-  - `#FF4B00`, `#005AFF`, `#03AF7A`, `#4DC4FF`, `#F6AA00`, `#FFF100`, `#990099`, `#84919E`, `#000000`, `#804000`, `#FF8082`
-- 色選択はオーバーレイパネル表示。
-- 色チップは正方形固定。
-- 「カスタム」ボタンは1クリックでカラーピッカーを開く。
-- パネル外クリックでオーバーレイを閉じる。
-
-## 7. 軸・目盛り・凡例
-- 目盛りは内向き（`direction='in'`）。
-- 不要側のヒゲは表示しない:
-  - 主軸: 下・左
-  - 第2軸: 右
-- major/minor目盛線は個別ON/OFF可能。
-- 凡例位置は選択可能。`none` で非表示。
-- 第2軸あり時は主軸・第2軸のハンドルをマージして凡例表示。
-
-## 8. 日本語フォント対応
-- CSSは `Noto Sans JP` を既定フォントに設定。
-- matplotlib側は `Noto Sans JP / Noto Sans CJK JP` を優先。
-- 必要時はNoto CJKフォントをWeb取得して `font_manager.addfont` で登録。
-- オフライン時や取得失敗時はフォールバックフォントで継続。
-
-## 9. エラー/警告抑制（重要）
-- `parentNode` 系例外は JS/Python 両側で抑制・回復。
-- `PyodideTask exception was never retrieved` は `_spawn_task` で回収。
-- pandas `pyarrow` DeprecationWarning は抑制。
-- 日本語glyph不足のUserWarningは抑制。
-- ただし、ユーザー入力や設定不整合による本来のエラーは表示する。
-
-## 10. 主なPython関数
-- `_read_upload`: ブラウザ選択ファイルをbytes取得
-- `_load_dataframe`: 拡張子別にDataFrame化
-- `_resolve_column` / `_parse_column_index` / `_get_series_from_request`: 列解決
-- `_collect_series_settings`: 系列カードから設定収集
-- `_get_plot_data` / `_get_per_series_xy_data`: 描画データ整形
-- `_create_plot_figure`: 描画本体（line/scatter/bar + 二軸 + grid + 凡例）
-- `_render_data_preview`: データ確認テーブル描画（skipRows可視化込み）
-- `_render_plot_image`: 図をPNG data URIで表示
-- `on_load_columns`, `on_render`, `on_save_plot`: 主処理
-
-## 11. 引き継ぎ時の注意
-- 「ブラウザ完結（サーバーなし）」前提を崩さないこと。
-- 同名列対応のため、列指定は必ず列番号ベースを維持すること。
-- `parentNode` 系の抑制・回復ロジックは削除しないこと。
-- 自動読込/自動描画のUX（手動ボタンなし）を維持すること。
-- データ確認タブの「skipRowsグレーアウト可視化」を維持すること。
+# matplotlib GUI 引き継ぎ資料（AI エージェント向け）
+
+要件の正は `docs/REQUIREMENTS.md`。このファイルと食い違う場合は REQUIREMENTS.md を優先する。
+この資料は Phase 1（基盤の刷新と不具合修正）完了時点の実装を説明する。各 Phase の完了時に実装に合わせて更新すること（要件 A11）。
+
+## 1. ゴールと前提
+
+- CSV / TXT / XLSX のデータから、ブラウザ上の GUI だけで matplotlib の図を作る。
+- 利用形態は GitHub Pages 配信（公開 URL: https://mioupa.github.io/matplotlib_gui/）。`file://` で直接開く使い方は非対応。
+- サーバー処理を持たない。計算はすべてブラウザ内の Python（PyScript / Pyodide）で行う。GitHub Pages は静的配信のみに使う。
+- 読み込んだデータは外部に送信しない。外部への通信はライブラリとフォントの取得だけ。
+- 列の指定は列番号（`__idx__N`）で行う。同名の列があっても区別できる。
+- 自動読込・自動描画を保つ（「読み込む」「描画する」ボタンは置かない）。
+- データ確認タブは、描画から除外される先頭行（`skipRows`）をグレー（`.skipped-row`）で表示する。
+- CDN の URL はすべてバージョン固定にする。`tests/unit/test_cdn_pinning.py` が `index.html`・`js/`・`css/`・`py/` の全 URL を走査して強制する。
+
+## 2. ファイル構成
+
+| パス | 役割 |
+|---|---|
+| `index.html` | 画面のマークアップのみ。スクリプト読み込み失敗時の案内（`onerror`）を含む |
+| `pyscript.toml` | PyScript 設定（パッケージ、`packages_cache`、`[files]` による Python ファイルの配置） |
+| `css/style.css` | スタイル |
+| `js/main.js` | エントリ。UI を設定オブジェクトに結び付ける |
+| `js/defaults.js` | 設定の既定値（`DEFAULT_SETTINGS`）、色パレット（UD カラー） |
+| `js/state.js` | 設定オブジェクトの保持・更新・購読（`getSettings`、`setPath`、`updateSeries`、`addSeries`、`removeSeries`、`subscribe`、`toJson`） |
+| `js/bridge.js` | Python（`window.mplgui`）の唯一の窓口。読込・描画・保存の制御、世代管理、フォント取得の起動 |
+| `js/font-cache.js` | 日本語フォントの取得と Cache Storage への保存 |
+| `js/ui/*.js` | 画面部品（`colorPicker`、`customCode`、`dataPreview`、`fileInfo`、`forms`、`notify`、`plotView`、`progress`、`saveFormat`、`series`、`tabs`） |
+| `py/main.py` | PyScript のエントリ。JS と `mplgui` の橋渡しだけを書く（`window.mplgui` の登録、Excel 用ライブラリの遅延導入） |
+| `py/mplgui/settings.py` | 設定スキーマ、既定値、検証、日本語エラー（凍結 dataclass へ変換） |
+| `py/mplgui/loader.py` | バイト列から DataFrame（文字コード判定、区切り文字、プレビュー） |
+| `py/mplgui/plotting.py` | 描画本体（暫定。Phase 2 で codegen に置き換える） |
+| `py/mplgui/runner.py` | Figure の生成と、画像（PNG/JPG/SVG/PDF）への書き出し、カスタムコードの実行 |
+| `py/mplgui/fonts.py` | 日本語フォントの登録と rcParams |
+| `py/mplgui/errors.py` | `UserError`（利用者が直せるエラー） |
+| `py/mplgui/api.py` | JS から呼ばれる JSON 入出力の関数 |
+| `py/mplgui/runtime.py` | 警告フィルタ |
+| `tests/unit/` | 単体テスト（CPython、Agg） |
+| `tests/e2e/` | E2E テスト（pytest-playwright、Chromium） |
+| `tests/fixtures/` | 合成テストデータ（`make_fixtures.py` が生成） |
+| `tests/perf/bench.py` | 起動・描画の計測。結果は `docs/PERFORMANCE.md` |
+| `.github/workflows/tests.yml` | CI |
+| `_config.yml` | GitHub Pages（Jekyll）の include / exclude |
+
+`py/mplgui/*` は `js` / `pyodide` に依存しない純粋なモジュールにする（CPython で単体テストできるようにするため）。DOM に触れるのは JS だけ。
+
+## 3. 設定オブジェクト
+
+- スキーマのバージョンは 1（`version`）。JSON のキーは camelCase。
+- 唯一の正は JS 側（`js/state.js`）の設定オブジェクト。Python は DOM を読まず、渡された JSON を `settings.parse_settings` / `parse_load_settings` で凍結 dataclass に変換して使う。
+- JS の既定値（`js/defaults.js`）と Python の既定値（`settings.default_settings()`）は一致させる。`tests/unit/test_defaults_parity.py` が比較する（node が無いと skip）。
+- 主な構造: `load`（`delimiter`、`hasHeader`）、`plot`（`type`、`skipRows`、`xColumn`、`title`、`fontSize`、`figure`、`legend`、`grid`、`margins`）、`axes`（`x` / `y` / `y2`: `label`、`scale`、`min`、`max`）、`series[]`、`save`（`filename`、`format`、`transparent`）。
+- 系列: `id`、`x`、`y`、`color`、`lineWidth`、`lineStyle`、`markerSize`、`label`、`secondaryAxis`。`markerSize: null` は「自動」（line は 0、scatter は 24）。ユーザーが数値を入れたら自動切替の対象外。
+- カスタムコードの本文と「使用する」は設定オブジェクトには入れず、`render` / `save` の別引数で渡す。
+
+## 4. Python ⇄ JS の API（`window.mplgui`）
+
+Python が登録し、登録後に `mplgui-ready` イベントを送る。引数・戻り値は JSON 文字列（ファイルとフォントはバイト列）。
+
+| 関数 | 引数 | 戻り値（`ok: true` のとき） |
+|---|---|---|
+| `ensureExcel()` | なし（非同期） | `{ok}`。初回の .xlsx 読込前に openpyxl を導入する |
+| `loadFile(name, bytes, loadJson)` | ファイル名、内容、`{version, load}` | `{encoding, columns, preview, warnings}`（.xlsx は `encoding: null`） |
+| `render(settingsJson, customCode)` | 設定 JSON、コード文字列または null | `{image, seriesCount, skipRows, warnings}`（`image` は PNG の data URI） |
+| `save(settingsJson, customCode)` | 同上 | `{filename, mime, dataUri}` |
+| `registerFont(bytes)` | フォントのバイト列 | `{registered}` |
+| `fontStatus()` | なし | `{registered}` |
+| `defaultCustomCode()` | なし | 文字列（JSON ではない） |
+
+- `warnings` は `{series, message}` の配列（読込時は文字列配列の場合もある。JS の `warningTexts` が吸収する）。
+- 失敗: `{ok: false, error: {message, field?, detail?}}`。
+  - 利用者が直せる原因は `UserError`。`message` は日本語で、どの項目が悪いかを含める（`field`）。
+  - それ以外の例外は内部エラー。短い日本語メッセージ（`INTERNAL_ERROR_MESSAGE`）に、`detail` として traceback を付ける（画面の「内部エラー詳細」に出る）。
+- `loadFile` が失敗したら読込済みデータを破棄する。`render` は読込済みデータが無いと「先にファイルを読み込んでください。」を返す。
+
+## 5. 描画パイプライン
+
+- 描画は設定変更の 250 ms 後（デバウンス）。読込は、ファイル選択・ヘッダ変更で 0 ms、区切り文字の変更で 450 ms 後。保存設定（`save.*`）の変更では再描画しない。`skipRows` の変更は Python を呼ばず、データ確認表のグレー表示だけ即時に更新する。
+- 描画要求には世代番号を付ける。Python の描画は同時に最大1つ。実行中に新しい要求が来たら「やり直し」の印だけ付け、終了後に最新の設定で1回だけ描く（合流）。古い世代の結果は画像にもステータスにも反映しない。
+- Python の起動前に選んだファイルや変えた設定は保持し、起動後に最新の内容で1回読み込んで描く（起動キュー）。
+- E2E が使う状態は `<html>` の data 属性: `data-app-state`（`starting` / `ready` / `failed`）、`data-data-state`（`none` / `loading` / `ready` / `error`）、`data-render-state`（`idle` / `pending` / `rendering`）、`data-render-generation`、`data-font-state`（`idle` / `loading` / `ready` / `failed`）、`data-load-count`。表示中の画像は `#plotArea img` の `data-generation` を持つ。ステータスは `#status` の `data-kind`。
+
+## 6. 起動とフォント
+
+- PyScript 2026.7.3（Pyodide 314.0.3 / Python 3.14）。`pyscript.toml` は `packages = ["pandas", "matplotlib"]`、`packages_cache = "passthrough"`（micropip を使わない）。
+- openpyxl と et_xmlfile は Pyodide 同梱ではないので、初めて .xlsx を読むときに `py/main.py` が、バージョン固定の wheel URL（`files.pythonhosted.org`）を `pyodide_js.loadPackage` に渡して導入する。起動時には導入しない。
+- matplotlib のバックエンドは Agg（`py/main.py` で `matplotlib.use("Agg")`。pyplot を import する前に指定する）。
+- 日本語フォントは固定 URL の jsDelivr（`noto-cjk@Sans2.004` の `NotoSansCJKjp-Regular.otf`、約16 MB）から取得し、Cache Storage（キャッシュ名 `mplgui-fonts-v1`）に保存する。2回目以降の訪問ではダウンロードしない。取得はセッション中1回で、失敗しても再試行せず、警告を1度だけ出してフォールバックフォントで続行する。
+- フォント取得は、進みが 20 秒止まる（ヘッダが届かない、または本文が進まない）と失敗扱いにする（`FONT_STALL_MS`）。
+- 最初の描画はフォント取得を最大 8 秒待つ（`FONT_FIRST_RENDER_WAIT_MS`）。超えたらフォールバックフォントで描き、取得が終わったら現在の設定で1回だけ描き直す。
+- テスト専用に、`window.__MPLGUI_TEST_OVERRIDES__ = {fontStallMs, fontFirstRenderWaitMs}` で上の時間を短縮できる。
+
+## 7. 文字コード判定・数値変換警告・ステータス
+
+- 文字コード（`loader.detect_encoding`）: BOM 付きなら utf-8-sig → UTF-8 → CP932 と EUC-JP。両方でデコードできるときは、半角カナ・私用領域・制御文字などの「文字化けらしい文字」が少ないほうを採用し、同数なら CP932。どれでも読めなければ日本語のエラーにする。判定結果は `#encodingLabel` に表示する。
+- 数値に変換できず除外した値は、系列ごとに警告にする（`plotting.dropped_warning`）。
+- ステータス（`#status`）の種別は `ok` / `warning` / `error`。警告は成功メッセージに添えて表示し、`error` のときは `data-kind="error"`。日本語フォント取得失敗のような常時有効な警告は、以後の表示にも添える。
+
+## 8. 警告フィルタ
+
+`runtime.configure_warnings` が無視するのは、次の2つだけ。それ以外の警告は無視しない（A10）。
+
+- pandas の pyarrow 関連の `DeprecationWarning`
+- matplotlib のグリフ不足の `UserWarning`
+
+## 9. parentNode エラー
+
+旧実装は `parentNode` を含むエラーを JS / Python の両側で抑制・回復していた。Phase 1 でオーナーの承認を得て削除した。原因は、旧 `matplotlib_pyodide` バックエンドが、表示されなかった Figure の破棄時に起こしていたこと。PyScript 2026.7.3 と Agg の組み合わせでは発生しない。エラーを一括で握りつぶす処理は再導入しないこと（再現した場合は、原因を調べて範囲を絞る）。
+
+## 10. テスト
+
+```sh
+uv sync
+uv run playwright install chromium
+uv run pytest                  # 単体テスト（tests/unit）
+uv run pytest tests/e2e        # E2E（Chromium とローカルの静的サーバー）
+```
+
+- 新しい機能には単体テストを必ず追加する。
+- E2E は要素を id だけで選ぶ。`index.html` の id は安定させ、変えるときはテストも直す。アプリ固有の待機・操作は `tests/e2e/helpers.py` にまとめる。
+- テストデータは `tests/fixtures/` の合成データだけ（公開リポジトリなので実データを置かない）。
+- テスト用サーバー（`tests/e2e/server.py`）は listen backlog を 128 に広げている。既定の 5 だと、Chromium が ES モジュールを一斉に取得したときに接続が切れて、アプリが起動しないことがある。
+- 環境変数 `E2E_BASE_PATH=/matplotlib_gui/` を付けると、Pages と同じサブパス配下で配信して検証する（絶対パス参照の検出）。`E2E_SERVE_DIR` で配信ディレクトリを変えられる（CI は Jekyll のビルド結果 `_site`）。
+
+## 11. CI と GitHub Pages
+
+- CI（`.github/workflows/tests.yml`）: push で単体テスト、プルリクエストで E2E。E2E は Jekyll でビルドした `_site` を `/matplotlib_gui/` 配下で配信して検証する。
+- Jekyll は `_` で始まるファイルを既定で配信しない。`__init__.py` は `_config.yml` の `include` で明示している。開発用ファイル（`docs/`、`tests/`、`AGENTS.md`、`pyproject.toml`、`uv.lock`、`.github/` など）は `exclude`。
+- 新しい Python モジュールを追加したら、`pyscript.toml` の `[files]` に必ず追加する（`tests/unit/test_pages_publish.py` が参照ファイルの公開を確認する）。
+- matplotlib 3.10 では `tight_layout()` 後に `PlaceHolderLayoutEngine` が残り、`savefig` が余分に全体を再描画する。`runner.drop_placeholder_layout_engine` がこれを外している（出力は同一）。
 
 ## 12. 運用ルール（必須）
-- このプロジェクトでは、`/Users/miura/Documents/projects/matplolib_gui` 配下のみを対象に作業する。
-- このディレクトリ外のファイルには一切触れない。
+
+- このリポジトリ配下のみを対象に作業する。リポジトリ外のファイルには触れない。
+- push やプルリクエストの作成は、オーナーの確認を取ってから行う。
+- ローカル環境のパスを、リポジトリ内の文書やコードに書かない。

From 675828343c3fb46baff9baf55411ab9b61488693 Mon Sep 17 00:00:00 2001
From: mioupa <mioupa.org@gmail.com>
Date: Wed, 7 Oct 2026 20:30:09 +0900
Subject: [PATCH 34/37] Explain the first-plot difference in PERFORMANCE.md

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---
 docs/PERFORMANCE.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/PERFORMANCE.md b/docs/PERFORMANCE.md
index cc97a6a..f953cf8 100644
--- a/docs/PERFORMANCE.md
+++ b/docs/PERFORMANCE.md
@@ -90,7 +90,7 @@
 | 保存（PNG、クリック → ダウンロード開始） | 206 / 201 / 214 | 330 / 323 / 349 | 257 / 246 / 262 | 悪い（+25%） |
 | 初回 .xlsx 読込 → 最初のプロット | （計測なし） | （計測なし） | 336 / 335 / 339 | - |
 
-※ 初回プロットの短縮の原因は切り分けていない（Phase 1 で読込・描画の経路が変わったことと、計測時にフォントが Cache Storage から読み込み済みであることが関係する可能性がある）。改善幅は参考値として扱う。
+※ 経路の違い: 変更前は、最初の描画の中で日本語フォント（16 MB）の取得（HTTP キャッシュから）と Pyodide への書き込み・登録を行っていた。Phase 1 では Python の準備完了直後に Cache Storage から読み出して登録するため、最初の描画にこの処理が含まれない。加えて、描画のたびのデータ確認表の再生成もなくなった。ただし短縮幅への寄与は個別に切り分けていないので、改善幅は参考値として扱う。
 
 コールド起動の最大値は1回目の反復のみ（CDN・OS 側のキャッシュが冷えていたため）で、2回目以降は約3.6秒。
 

From 1ffd9268196821af5c6689a3a66b22b53751c382 Mon Sep 17 00:00:00 2001
From: mioupa <mioupa.org@gmail.com>
Date: Wed, 7 Oct 2026 20:40:07 +0900
Subject: [PATCH 35/37] Keep non-ASCII characters intact when decoding the
 delimiter

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---
 py/mplgui/loader.py       | 19 ++++++++++++++++++-
 tests/unit/test_loader.py | 21 +++++++++++++++++++++
 2 files changed, 39 insertions(+), 1 deletion(-)

diff --git a/py/mplgui/loader.py b/py/mplgui/loader.py
index 78cb6dc..f4ac7d3 100644
--- a/py/mplgui/loader.py
+++ b/py/mplgui/loader.py
@@ -4,6 +4,7 @@
 import csv
 import io
 import re
+import warnings
 from dataclasses import dataclass
 from pathlib import Path
 
@@ -21,10 +22,26 @@ class LoadedData:
     encoding: str | None  # xlsx は None
 
 
+# バックスロッシュ表記（\t, \x41, \u3001 など）だけを解釈する。それ以外（「、」などの非 ASCII 文字）は変更しない。
+_ESCAPE = re.compile(r"\\(?:x[0-9a-fA-F]{2}|u[0-9a-fA-F]{4}|U[0-9a-fA-F]{8}|[0-7]{1,3}|.)", re.DOTALL)
+
+
+def _decode_escapes(text: str) -> str:
+    def repl(match: re.Match) -> str:
+        token = match.group(0)
+        if not token.isascii():
+            return token
+        with warnings.catch_warnings():
+            warnings.simplefilter("ignore")
+            return token.encode("ascii").decode("unicode_escape")
+
+    return _ESCAPE.sub(repl, text)
+
+
 def decode_delimiter(delimiter: str, suffix: str) -> str:
     if delimiter:
         try:
-            return bytes(delimiter, "utf-8").decode("unicode_escape")
+            return _decode_escapes(delimiter)
         except UnicodeDecodeError as exc:
             raise UserError(
                 "「区切り文字」のエスケープ表記が正しくありません。\\t（タブ）のように書くか、記号をそのまま入力してください。",
diff --git a/tests/unit/test_loader.py b/tests/unit/test_loader.py
index 7ad4ca6..9eb784a 100644
--- a/tests/unit/test_loader.py
+++ b/tests/unit/test_loader.py
@@ -189,3 +189,24 @@ def test_errors_are_user_errors_in_japanese(name, data):
 
 def test_load_dataframe_wrapper():
     assert not load_dataframe((FIXTURES / "utf8.csv").read_bytes(), "utf8.csv", "", True).empty
+
+
+@pytest.mark.parametrize(
+    "raw, expected",
+    [("、", "、"), ("；", "；"), ("\\t", "\t"), (",", ","), (";", ";"), ("|", "|"), ("\\u3001", "、"), ("a\\t、", "a\t、")],
+)
+def test_decode_delimiter_keeps_non_ascii(raw, expected):
+    assert decode_delimiter(raw, ".txt") == expected
+
+
+def test_decode_delimiter_invalid_escape_still_japanese_error():
+    with pytest.raises(UserError) as info:
+        decode_delimiter("\\x", ".txt")
+    assert info.value.field == "区切り文字" and not info.value.message.isascii()
+
+
+def test_ideographic_comma_delimited_file_loads():
+    data = "時間、電圧、電流\n1、2、3\n4、5、6\n".encode("utf-8")
+    loaded = load_file(data, "comma.txt", "、", True)
+    assert list(loaded.df.columns) == ["時間", "電圧", "電流"]
+    assert loaded.df.shape == (2, 3)

From 2a362acc2bc344624a536a89718951d58459f027 Mon Sep 17 00:00:00 2001
From: mioupa <mioupa.org@gmail.com>
Date: Wed, 7 Oct 2026 20:41:14 +0900
Subject: [PATCH 36/37] Show staged startup progress from Resource Timing
 entries

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---
 AGENTS.md                          |  2 ++
 README.md                          |  8 ++++-
 js/bridge.js                       | 13 ++++++--
 js/startup-progress.js             | 50 ++++++++++++++++++++++++++++++
 tests/e2e/test_startup_progress.py | 42 +++++++++++++++++++++++++
 5 files changed, 112 insertions(+), 3 deletions(-)
 create mode 100644 js/startup-progress.js
 create mode 100644 tests/e2e/test_startup_progress.py

diff --git a/AGENTS.md b/AGENTS.md
index fdfe30d..45186fd 100644
--- a/AGENTS.md
+++ b/AGENTS.md
@@ -25,6 +25,7 @@
 | `js/defaults.js` | 設定の既定値（`DEFAULT_SETTINGS`）、色パレット（UD カラー） |
 | `js/state.js` | 設定オブジェクトの保持・更新・購読（`getSettings`、`setPath`、`updateSeries`、`addSeries`、`removeSeries`、`subscribe`、`toJson`） |
 | `js/bridge.js` | Python（`window.mplgui`）の唯一の窓口。読込・描画・保存の制御、世代管理、フォント取得の起動 |
+| `js/startup-progress.js` | Python 起動中の段階表示。Resource Timing（`PerformanceObserver`、取得済みエントリを含む）から Pyodide 本体（`pyodide.asm.wasm`・`python_stdlib.zip`）→ パッケージ wheel（pandas / matplotlib）→ 初期化（`/py/main.py` の取得）を推定する |
 | `js/font-cache.js` | 日本語フォントの取得と Cache Storage への保存 |
 | `js/ui/*.js` | 画面部品（`colorPicker`、`customCode`、`dataPreview`、`fileInfo`、`forms`、`notify`、`plotView`、`progress`、`saveFormat`、`series`、`tabs`） |
 | `py/main.py` | PyScript のエントリ。JS と `mplgui` の橋渡しだけを書く（`window.mplgui` の登録、Excel 用ライブラリの遅延導入） |
@@ -77,6 +78,7 @@ Python が登録し、登録後に `mplgui-ready` イベントを送る。引数
 ## 5. 描画パイプライン
 
 - 描画は設定変更の 250 ms 後（デバウンス）。読込は、ファイル選択・ヘッダ変更で 0 ms、区切り文字の変更で 450 ms 後。保存設定（`save.*`）の変更では再描画しない。`skipRows` の変更は Python を呼ばず、データ確認表のグレー表示だけ即時に更新する。
+- 起動中の `#progress`（`aria-live="polite"`）は段階表示: 「Python 実行環境を読み込み中…」→「ライブラリを読み込み中…（pandas ✓, matplotlib …）」→「ライブラリを初期化中…」→ 準備完了で消える（フォント取得の表示が続く場合あり）。`<html>` の `data-startup-stage`（`runtime` / `packages` / `init` / `ready`）に現在の段階が入る。新しい id は無い。読込失敗の案内（`data-load-failed`）は上書きしない。
 - 描画要求には世代番号を付ける。Python の描画は同時に最大1つ。実行中に新しい要求が来たら「やり直し」の印だけ付け、終了後に最新の設定で1回だけ描く（合流）。古い世代の結果は画像にもステータスにも反映しない。
 - Python の起動前に選んだファイルや変えた設定は保持し、起動後に最新の内容で1回読み込んで描く（起動キュー）。
 - E2E が使う状態は `<html>` の data 属性: `data-app-state`（`starting` / `ready` / `failed`）、`data-data-state`（`none` / `loading` / `ready` / `error`）、`data-render-state`（`idle` / `pending` / `rendering`）、`data-render-generation`、`data-font-state`（`idle` / `loading` / `ready` / `failed`）、`data-load-count`。表示中の画像は `#plotArea img` の `data-generation` を持つ。ステータスは `#status` の `data-kind`。
diff --git a/README.md b/README.md
index 73feb53..6c60376 100644
--- a/README.md
+++ b/README.md
@@ -25,7 +25,13 @@ https://mioupa.github.io/matplotlib_gui/ を開いてください。`index.html`
 
 ## プライバシー
 
-読み込んだデータの処理はすべてブラウザの中で行い、外部には送信しません。外部への通信は、ライブラリ（PyScript / Pyodide / pandas / matplotlib など）とフォントの取得だけです。
+読み込んだデータの処理はすべてブラウザの中で行い、外部には送信しません。外部への通信は、ライブラリ（PyScript / Pyodide / pandas / matplotlib など）とフォントの取得だけです。通信先は次のとおりです。
+
+| ホスト | 取得するもの |
+|---|---|
+| `pyscript.net` | PyScript 本体 |
+| `cdn.jsdelivr.net` | Pyodide 本体と同梱パッケージ（pandas / matplotlib など）、画面用フォント（Noto Sans JP）、グラフ用の日本語フォント（Noto Sans CJK JP） |
+| `files.pythonhosted.org` | openpyxl の wheel（`.xlsx` を初めて開くときだけ） |
 
 初回の訪問では、Pyodide とライブラリ（数十 MB）と、日本語フォント（約 16 MB）をダウンロードするため、時間がかかります。2回目以降はキャッシュを使います（フォントはブラウザの Cache Storage に保存し、再ダウンロードしません）。
 
diff --git a/js/bridge.js b/js/bridge.js
index 606fc6d..bea9838 100644
--- a/js/bridge.js
+++ b/js/bridge.js
@@ -10,12 +10,12 @@ import { applySkipRows, showPreview } from "./ui/dataPreview.js";
 import { setColumns } from "./ui/series.js";
 import { showEncoding, showFileName } from "./ui/fileInfo.js";
 import { setBusy, showProgress } from "./ui/progress.js";
+import { RUNTIME_MESSAGE, watchStartup } from "./startup-progress.js";
 import { FONT_FIRST_RENDER_WAIT_MS, isFontCached, loadFont } from "./font-cache.js";
 
 const RENDER_DELAY_MS = 250;
 const LOAD_DELAY_MS = { file: 0, header: 0, delimiter: 450 };
 const FONT_FAILED_MESSAGE = "日本語フォントを取得できませんでした。日本語が正しく表示されない場合があります。";
-const PYTHON_LOADING_MESSAGE = "Python 実行環境を読み込み中…（初回は時間がかかります）";
 const FONT_LOADING_MESSAGE = "日本語フォントを取得中…";
 
 const root = document.documentElement;
@@ -37,6 +37,8 @@ let fontPercent = null;
 let fontTask = null;
 let excelInstalling = false; // 初回の .xlsx 読込前に Excel 用ライブラリを取得中
 let excelReady = false;
+let startupMessage = RUNTIME_MESSAGE; // Python 起動中の段階表示（startup-progress.js）
+let stopStartupWatch = () => {};
 let fontWaitGaveUp = false; // 最初の描画がフォント待ちを打ち切った（以後は待たない）
 
 const setDataState = (state) => {
@@ -73,7 +75,7 @@ const reportException = (err, context) => {
 
 // 進捗バナー: Python 起動中はその旨、起動後はフォント取得の進捗、どちらも無ければ非表示
 const refreshProgress = () => {
-  if (!api) showProgress(PYTHON_LOADING_MESSAGE);
+  if (!api) showProgress(startupMessage);
   else if (excelInstalling) showProgress(EXCEL_LOADING_MESSAGE);
   else if (fontState === "loading") showProgress(fontPercent === null ? FONT_LOADING_MESSAGE : `${FONT_LOADING_MESSAGE} ${fontPercent}%`);
   else showProgress("");
@@ -326,6 +328,8 @@ export const onPythonReady = (fn) => {
 const handlePythonReady = () => {
   if (api || !window.mplgui) return;
   api = window.mplgui;
+  stopStartupWatch();
+  root.dataset.startupStage = "ready";
   root.dataset.appState = "ready";
   startFont(); // 起動時のダウンロードと競合しないよう、Python の準備後に始める
   const callbacks = readyCallbacks;
@@ -353,6 +357,11 @@ export const initBridge = () => {
   setRenderState("idle");
   setFontState("idle");
   root.dataset.loadCount = "0";
+  stopStartupWatch = watchStartup((stage, message) => {
+    startupMessage = message;
+    root.dataset.startupStage = stage; // runtime | packages | init（Python の準備後は ready）
+    if (!api) refreshProgress();
+  });
   refreshProgress();
   subscribe(routeChange);
   // フォントが Cache Storage にあれば、Python の起動を待たずに読み出しだけ始める（ダウンロードは起こらない）
diff --git a/js/startup-progress.js b/js/startup-progress.js
new file mode 100644
index 0000000..9bdf0bd
--- /dev/null
+++ b/js/startup-progress.js
@@ -0,0 +1,50 @@
+// Python 起動中の進み具合を、ブラウザが観測できるもの（Resource Timing）から段階として推定する。
+// PyScript 2026.7.3 にはパッケージ読込の進捗 API が無い。リソースのエントリは取得完了時に追加され、
+// HTTP キャッシュからの取得でもエントリは作られる（その場合は段階が短時間で進むだけ）。
+// 段階: runtime（Pyodide 本体）→ packages（pandas / matplotlib などの wheel）→ init（import・初期化）。段階は戻らない。
+const RUNTIME_FILES = ["pyodide.asm.wasm", "python_stdlib.zip"];
+const TRACKED_PACKAGES = ["pandas", "matplotlib"]; // pyscript.toml の packages と揃える
+const PYODIDE_PATH = "/pyodide/v"; // Pyodide 本体と同梱パッケージの配置（Excel 用 wheel は対象外）
+const ENTRY_POINT = "/py/main.py"; // PyScript が main.py を取得した＝パッケージ導入が終わり、import・初期化に入った
+
+export const RUNTIME_MESSAGE = "Python 実行環境を読み込み中…（初回は時間がかかります）";
+export const INIT_MESSAGE = "ライブラリを初期化中…";
+
+export const packagesMessage = (done) =>
+  `ライブラリを読み込み中…（${TRACKED_PACKAGES.map((n) => `${n} ${done.has(n) ? "✓" : "…"}`).join(", ")}）`;
+
+// onChange(stage, message) を、段階またはメッセージが変わるたびに呼ぶ。戻り値は停止関数。
+export const watchStartup = (onChange) => {
+  if (typeof PerformanceObserver === "undefined") return () => {};
+  const runtimeSeen = new Set();
+  const packagesDone = new Set();
+  let entrySeen = false;
+  let stage = "runtime";
+  let last = "";
+  const compute = () => {
+    let next = "runtime";
+    if (RUNTIME_FILES.every((f) => runtimeSeen.has(f))) next = "packages";
+    if (entrySeen || (next === "packages" && TRACKED_PACKAGES.every((n) => packagesDone.has(n)))) next = "init";
+    const order = ["runtime", "packages", "init"];
+    if (order.indexOf(next) > order.indexOf(stage)) stage = next;
+    const message = stage === "runtime" ? RUNTIME_MESSAGE : stage === "packages" ? packagesMessage(packagesDone) : INIT_MESSAGE;
+    if (message !== last) {
+      last = message;
+      onChange(stage, message);
+    }
+  };
+  const handle = (entries) => {
+    for (const entry of entries) {
+      const url = entry.name.split("?")[0];
+      if (url.endsWith(ENTRY_POINT)) entrySeen = true;
+      if (!url.includes(PYODIDE_PATH)) continue;
+      const file = url.slice(url.lastIndexOf("/") + 1);
+      if (RUNTIME_FILES.includes(file)) runtimeSeen.add(file);
+      else if (file.endsWith(".whl")) packagesDone.add(file.split("-")[0].toLowerCase().replace(/_/g, "-"));
+    }
+    compute();
+  };
+  const observer = new PerformanceObserver((list) => handle(list.getEntries()));
+  observer.observe({ type: "resource", buffered: true }); // 既に記録済みのエントリも受け取る
+  return () => observer.disconnect();
+};
diff --git a/tests/e2e/test_startup_progress.py b/tests/e2e/test_startup_progress.py
new file mode 100644
index 0000000..66fe71b
--- /dev/null
+++ b/tests/e2e/test_startup_progress.py
@@ -0,0 +1,42 @@
+import pytest
+
+from helpers import wait_app_ready
+
+pytestmark = pytest.mark.e2e
+
+# #progress の表示内容（hidden のときは空文字）の変化を、起動前から記録する
+RECORDER = """
+(() => {
+  window.__progressLog = [];
+  const record = () => {
+    const el = document.getElementById('progress');
+    if (!el) return;
+    const text = el.hidden ? '' : el.textContent.trim();
+    const log = window.__progressLog;
+    if (log[log.length - 1] !== text) log.push(text);
+  };
+  new MutationObserver(record).observe(document, {subtree: true, childList: true, characterData: true, attributes: true, attributeFilter: ['hidden']});
+  document.addEventListener('DOMContentLoaded', record);
+})();
+"""
+
+
+def test_startup_progress_stages_in_order(page, app_url):
+    page.add_init_script(RECORDER)
+    page.goto(app_url)
+    wait_app_ready(page)
+    page.wait_for_function("document.documentElement.dataset.startupStage === 'ready'")
+    # フォント取得の表示などが後続しても、起動段階の順序だけを見る
+    log = page.evaluate("window.__progressLog")
+    print("progress log:", log)
+
+    def is_startup(text):
+        return "Python 実行環境" in text or text.startswith("ライブラリを")
+
+    runtime = next(i for i, t in enumerate(log) if "Python 実行環境" in t)
+    packages = next(i for i, t in enumerate(log) if t.startswith("ライブラリを読み込み中"))
+    assert runtime < packages, log
+    # 起動中の表示の後に、起動表示ではないもの（非表示、または続くフォント取得の表示）へ遷移する＝準備完了
+    last_startup = max(i for i, t in enumerate(log) if is_startup(t))
+    assert last_startup < len(log) - 1 or not log[-1], log
+    assert page.locator("#progress").get_attribute("aria-live") == "polite"

From 3866607fd4d6dd16de83787338c849f56e08cf3a Mon Sep 17 00:00:00 2001
From: mioupa <mioupa.org@gmail.com>
Date: Thu, 8 Oct 2026 00:53:55 +0900
Subject: [PATCH 37/37] Record owner decisions on parentNode suppression and
 startup baseline

REQUIREMENTS 2.1/A9: suppression removed in Phase 1 with the owner's approval.
REQUIREMENTS 8 and PERFORMANCE.md: Phase 1 measurements are the new baseline;
the remaining warm-start gap is accepted as runtime cost.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---
 docs/PERFORMANCE.md  | 2 +-
 docs/REQUIREMENTS.md | 6 +++---
 2 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/docs/PERFORMANCE.md b/docs/PERFORMANCE.md
index f953cf8..334c603 100644
--- a/docs/PERFORMANCE.md
+++ b/docs/PERFORMANCE.md
@@ -110,4 +110,4 @@ Phase 1 で行った改善:
 
 ベースラインとの比較では、起動（コールド・ウォーム）、再描画、保存はいずれも悪い。移行直後よりは改善したが、ベースラインには戻っていない。要件（8章）の「起動時間を F6 の現状値より悪くしない」は満たしていない。初回ファイル読込 → 最初のプロットは良い（上の注記のとおり参考値）。
 
-ウォーム起動に残る差（約 +0.5 秒）をどう扱うか（許容する、Pyodide の旧版へ戻す、など）は、オーナーの判断待ち。
+**決定（2026-10-08、オーナー）**: ウォーム起動に残る差（約 +0.5 秒）は実行環境（Pyodide 314 / Python 3.14）自体のコストとして許容する。以後の要件8章の基準値は、この「Phase 1 後」の値とする（docs/REQUIREMENTS.md 8章に注記済み）。
diff --git a/docs/REQUIREMENTS.md b/docs/REQUIREMENTS.md
index 7dc8548..d2ee263 100644
--- a/docs/REQUIREMENTS.md
+++ b/docs/REQUIREMENTS.md
@@ -32,7 +32,7 @@
 - 列の指定は列番号で行う（同じ名前の列があっても区別できるようにするため）。
 - 自動読込・自動描画の操作感を保つ（「読み込む」「描画する」ボタンは置かない）。
 - データ確認タブで、描画から除外される先頭行をグレーで表示する。
-- `parentNode` 系エラーの抑制・回復処理は削除しない（必要な場合は範囲を絞る。A9 を参照）。
+- ~~`parentNode` 系エラーの抑制・回復処理は削除しない~~ → Phase 1 で削除した（2026-10-07 にユーザーが決定。経緯は A9 を参照）。エラーを一括で握りつぶす処理は再導入しない。
 
 ### 2.2 AGENTS.md から変える点
 
@@ -111,7 +111,7 @@ docs/REQUIREMENTS.md    本書
 | A6 | Must | 日本語フォント（約16MB）の取得に失敗すると、通知なしに文字化け（豆腐）になる。しかも描画のたびに取得をやり直す。取得元は `@main` でバージョンが固定されていない | 失敗は1回だけ通知し、そのセッションでは再試行しない。取得元のバージョンを固定する。ブラウザキャッシュ（Cache Storage など）で再訪時の取得を省く |
 | A7 | Must | 「1,234」や単位付きの値が NaN になり、通知なしに除外される | 数値に変換できず除外した件数を、系列ごとに警告として表示する |
 | A8 | Must | カスタムコード実行時、GUI のタイトル・グリッド・スケールなどがコード側の設定を強制的に上書きする。`fig.axes[1]` を第2軸とみなすため、subplots を使うと誤動作する | Phase 2 のタブ刷新で解消する。ユーザーが編集したコードには GUI の設定を上書き適用しない |
-| A9 | Must | `parentNode` を含むエラーをすべて握りつぶし、前の画像が残っていると「描画に成功しました」と表示する | 抑制処理は残す。ただし成功の誤表示はやめる。PyScript の更新後にこのエラーが再現するか確かめ、再現しない場合は削除するかをユーザーに確認する |
+| A9 | Must | `parentNode` を含むエラーをすべて握りつぶし、前の画像が残っていると「描画に成功しました」と表示する | 抑制処理は残す。ただし成功の誤表示はやめる。PyScript の更新後にこのエラーが再現するか確かめ、再現しない場合は削除するかをユーザーに確認する。**結果（Phase 1）**: 原因は旧 matplotlib_pyodide バックエンドが、表示していない Figure を `plt.close()` で破棄するときに存在しない div の `parentNode` を参照していたこと（旧版のストレステストで35回発生）。PyScript 2026.7.3 では0回だったため、ユーザーの承認（2026-10-07）を得て抑制処理を JS・Python ともに削除した。描画は Agg バックエンドに固定している |
 | A10 | Must | DeprecationWarning を全体で無視している。`_spawn_task` は作成したタスクの参照を保持していない | 無視する警告を pyarrow 由来のものに限定する。実行中のタスクは参照を保持する |
 | A11 | Must | README に廃止済みの「描画する」ボタンが残っている。AGENTS.md に実装済み機能が書かれておらず、作業パスも誤っている | 各 Phase の完了時に README.md と AGENTS.md を実装に合わせて更新する |
 | B5 | Must | Pyodide の起動中（十数秒以上）と描画中に何も表示されない | 起動の進み具合（パッケージ読込、フォント取得）と描画中の状態を表示する |
@@ -213,7 +213,7 @@ docs/REQUIREMENTS.md    本書
 | 項目 | 要件 |
 |---|---|
 | 対応ブラウザ | デスクトップ版の Chrome、Edge、Safari、Firefox の最新版。スマートフォンでは表示が崩れない程度でよい |
-| 起動時間 | F6 で計測した現状値より悪くしない。2回目以降の訪問ではフォントを再取得しない |
+| 起動時間 | F6 で計測した現状値より悪くしない。2回目以降の訪問ではフォントを再取得しない。※ 基準値は Phase 1 後の計測値に置き換えた（2026-10-08 にユーザーが決定）。PyScript 2026.7.3（Pyodide 314 / Python 3.14）への移行で増えたウォーム起動の約 +0.5 秒は実行環境自体のコストのため許容する。数値は docs/PERFORMANCE.md を参照 |
 | 描画の応答 | 目標は、10,000行×5系列で設定を変えてから1秒以内に再描画すること（F6 の計測後に確定する） |
 | データの扱い | 読み込んだデータを外部に送信しない。外部への通信は、ライブラリとフォントの取得だけにする |
 | エラー表示 | 利用者の操作が原因のエラーは、日本語で原因と対処を表示する。内部エラーの詳細は折りたたみ欄に表示する |