[Autoloop] [Autoloop: build-tsb-pandas-typescript-migration]#110
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github-actions[bot] wants to merge 6 commits intomainfrom
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[Autoloop] [Autoloop: build-tsb-pandas-typescript-migration]#110github-actions[bot] wants to merge 6 commits intomainfrom
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Implements pandas missing-value utilities as standalone exported functions: - `isna` / `notna` / `isnull` / `notnull` — detect missing values in scalars, Series, and DataFrames (mirrors pd.isna / pd.notna) - `ffillSeries` / `bfillSeries` — forward/backward fill for Series with optional `limit` parameter - `dataFrameFfill` / `dataFrameBfill` — column-wise or row-wise fill for DataFrames with optional `limit` and `axis` parameters Metric: 28 → 29 pandas_features_ported Run: https://github.com/githubnext/tsessebe/actions/runs/24263385922 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Implements pctChangeSeries() and pctChangeDataFrame() mirroring pandas.Series.pct_change() / pandas.DataFrame.pct_change(). - periods: configurable lag (positive = backward, negative = forward) - fillMethod: "pad" (default), "bfill", or null (no fill) - limit: cap consecutive fills - axis: column-wise (default) or row-wise for DataFrame Full test coverage: unit tests, edge cases, and fast-check property tests. Interactive playground page at playground/pct_change.html. Run: https://github.com/githubnext/tsessebe/actions/runs/24266545401
Run: https://github.com/githubnext/tsessebe/actions/runs/24281202174 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Run: https://github.com/githubnext/tsessebe/actions/runs/24282208612 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Run: https://github.com/githubnext/tsessebe/actions/runs/24282791339 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Closing — superseded by #120 (the most complete migration PR). |
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🤖 This PR is maintained by Autoloop. Each accepted iteration adds a commit to this branch.
Goal: Build tsb — a complete TypeScript port of pandas, one feature at a time.
Metric:
pandas_features_ported(higher is better)Current best: 34 (after iteration 196)
Steering Issue
See #107 for steering, priorities, and the full state file.
Recent iterations
where/mask— conditional value selection for Series and DataFrame (metric: 34)replace— value substitution for Series and DataFrame (metric: 33)astype— dtype coercion for Series and DataFrame (metric: 32)idxmin/idxmaxfor Series and DataFrame (metric: 31)