🌐 [translation-sync] [pandas, pandas_panel] Update lectures for pandas 3.0 compatibility

[mmcky]

Automated Translation Sync

This PR contains automated translations from QuantEcon/lecture-python-programming.

Source PR

#470 - [pandas, pandas_panel] Update lectures for pandas 3.0 compatibility

Files Updated

• ✏️ lectures/pandas.md
• ✏️ .translate/state/pandas.md.yml
• ✏️ lectures/pandas_panel.md
• ✏️ .translate/state/pandas_panel.md.yml

Details

• Source Language: en
• Target Language: zh-cn
• Model: claude-sonnet-4-6

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This PR was created automatically by the translation action.

[github-actions]

✅ Translation Quality Review

Verdict: PASS | Model: claude-sonnet-4-6 | Date: 2026-06-19

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📝 Translation Quality

Criterion	Score
Accuracy	9/10
Fluency	9/10
Terminology	9/10
Formatting	9/10
Overall	9/10

Summary: The translation of the modified sections is of high quality, demonstrating accurate technical content, natural Chinese phrasing, and consistent terminology. All MyST formatting is correctly preserved. The minor issues identified are stylistic refinements rather than errors - the translation successfully conveys the pedagogical intent of the original English source across all five modified sections. Technical terminology is consistently and accurately translated throughout all modified sections, including proper handling of pandas-specific terms like 'MultiIndex', 'pivot_table', 'groupby', and 'DataFrameGroupBy'. The 'split-apply-combine' process description in the Grouping and Summarizing Data section is excellently rendered as '拆分-应用-合并' with clear explanations of each step. Code comments within modified sections are appropriately translated into Chinese while maintaining technical precision (e.g., '# 修改 POP', '# 将所有NaN值替换为0'). The Exercises section maintains correct MyST directive syntax and reference formatting (e.g., '{ref}pd_ex1') while providing natural Chinese translations of all instructional text. The Make Changes in DataFrames section correctly preserves all numbered list formatting and bold emphasis markers while providing accurate translations of technical explanations.

Suggestions:

• Overview section - '近年来，随着数据科学和机器学习等领域的兴起，其受欢迎程度急剧上升。' → Consider '近年来，随着数据科学和机器学习等领域的兴起，其受欢迎程度大幅提升。' - '急剧上升' (sharply rose) is slightly more dramatic than 'surged'; '大幅提升' is more natural in academic Chinese.

• Make Changes in DataFrames - '修改数据框的能力对于生成用于未来分析的干净数据集非常重要。' → Consider '修改数据框的能力对于生成可供后续分析使用的整洁数据集至关重要。' - 'clean dataset' is better rendered as '整洁数据集' following standard data science Chinese terminology, and '至关重要' better matches 'important' in this context.

• Exercises (pd_ex2 solution) - '按照你在 {ref}pd_ex1 中所做的工作，你可以通过相应地更新开始和结束日期，使用 read_data 查询数据：' → Consider '按照 {ref}pd_ex1 中的做法，通过相应更新起止日期，使用 read_data 查询数据：' - the current phrasing is slightly redundant and can be streamlined.

• Grouping and Summarizing Data - '对于理解大型面板数据集而言，数据分组和汇总特别有用。' → Consider '数据分组与汇总对于理解大型面板数据集尤为有用。' - reordering puts the subject first, which is more natural in Chinese academic writing and better matches the original sentence structure.

• Slicing and Reshaping Data - '数据目前为长格式，当数据有多个维度时，这种格式难以分析。' → Consider '数据目前为长格式，当数据具有多个维度时，这种格式较难分析。' - '较难' is slightly more precise and natural than '难以' in this comparative context.

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🔍 Diff Quality

Check	Status
Scope Correct	✅
Position Correct	✅
Structure Preserved	✅
Heading-map Correct	✅
Overall	10/10

Summary: Both target files correctly reflect the source changes: in pandas.md the 'Make Changes in DataFrames' section updates df.where() description and code to remove the False argument, and in pandas_panel.md the groupby axis=1 deprecation note is updated with stronger wording ('removed support' vs 'deprecated') and the future_stack=True arguments are removed from stack() calls, all in the correct positions with structure and heading maps unchanged.

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This review was generated automatically by action-translation review mode.

[Copilot]

Pull request overview

Updates the zh-cn translations of the pandas and pandas panel lectures to align with upstream changes targeting pandas 3.0 compatibility (notably removal of future_stack usage and updated where/stack/groupby examples).

Changes:

• Adjusts df.where() example to rely on default NaN replacement (instead of passing False).
• Removes future_stack=True from .stack() calls and updates surrounding text to match pandas 3.0 behavior.
• Refreshes translation-sync state metadata (source SHA, sync date, tool version, mode).

Reviewed changes

Copilot reviewed 4 out of 4 changed files in this pull request and generated no comments.

File	Description
lectures/pandas.md	Updates where example and minor spacing/wording to match upstream pandas 3.0-oriented content.
lectures/pandas_panel.md	Removes future_stack=True from stack examples; updates groupby(axis=1) note; fixes trailing solution fence formatting.
.translate/state/pandas.md.yml	Updates translation sync metadata (source SHA, date, tool version).
.translate/state/pandas_panel.md.yml	Updates translation sync metadata and switches mode to UPDATE.

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