[Autoloop] [Autoloop: build-tsb-pandas-typescript-migration]#115
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github-actions[bot] wants to merge 16 commits intomainfrom
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[Autoloop] [Autoloop: build-tsb-pandas-typescript-migration]#115github-actions[bot] wants to merge 16 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>
…g for Series and DataFrame Run: https://github.com/githubnext/tsessebe/actions/runs/24283807306 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
- stats/duplicated.ts: duplicatedSeries, duplicatedDataFrame, dropDuplicatesSeries, dropDuplicatesDataFrame with keep='first'/'last'/false and subset support - core/sample.ts: sampleSeries, sampleDataFrame with n/frac, replace, weighted sampling, and seeded RNG (randomState) - 35 tests each (unit + fast-check properties) - Playground pages: duplicated.html, sample.html Run: https://github.com/githubnext/tsessebe/actions/runs/24285279820 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
- stats/clip_advanced.ts: clipAdvancedSeries, clipAdvancedDataFrame with per-element bounds from scalar, array, Series (positional), or DataFrame (element-wise). DataFrame bounds support axis=0/1 for Series broadcasting. - stats/apply.ts: applySeries, mapSeries (function/dict/Map), applyDataFrame (reduce per col/row), applyExpandDataFrame (transform per col/row → DataFrame), mapDataFrame (element-wise). Helper decomposition satisfies Biome complexity rules. - 25+ unit + property-based tests each (fast-check) - Playground pages: clip_advanced.html, apply.html - Creates canonical branch autoloop/build-tsb-pandas-typescript-migration from iter 199 Run: https://github.com/githubnext/tsessebe/actions/runs/24287426738 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
- stats/cut.ts: cut() for equal-width or user-defined bins, qcut() for quantile bins - cutCodes() returns integer bin codes; cutCategories() returns label arrays - CutOptions: right, labels, retbins, precision, includeLowest, ordered - QcutOptions: labels, retbins, precision, duplicates (raise/drop) - 30+ unit tests + fast-check property tests - Playground page: cut.html (8 interactive demos) - Export from stats/index.ts and src/index.ts Run: https://github.com/githubnext/tsessebe/actions/runs/24288003426 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
…range Add `stats/interval.ts` with: - `Interval` class — single bounded interval with all four closed types (left/right/both/neither) - `IntervalIndex` — ordered array of intervals with fromBreaks, fromArrays, fromIntervals factories - `intervalRange()` — equal-length interval ranges by period count or step size - Lookup: indexOf, overlapping, append, isMonotonic - 60+ unit tests + fast-check property tests - Playground page interval.html (8 interactive demos) Run: https://github.com/githubnext/tsessebe/actions/runs/24288493950 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Run: https://github.com/githubnext/tsessebe/actions/runs/24289114918 Add `stats/get_dummies.ts` with: - `getDummies(data, options?)` — one-hot encode a Series or DataFrame (unified API) - `getDummiesSeries` — encode a single Series into binary indicator columns - `getDummiesDataFrame` — encode categorical columns in a DataFrame - `fromDummies(df, options?)` — reverse one-hot encoding back to a categorical Series Options: prefix, prefixSep, dummyNa, columns (DataFrame), dropFirst, dtype 45+ unit + fast-check tests. Playground page get_dummies.html (8 interactive demos). Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Add stats/crosstab.ts with crosstab() and crosstabSeries(): - Frequency count of co-occurrences of two factor arrays/Series - Custom aggfunc (count/sum/mean/min/max) with values parameter - margins: adds All row/column with totals - normalize: all/index/columns proportion tables - dropna: exclude/include null factor values 21 tests (unit + property-based) all pass. Lint clean. Metric: 43 (previous best: 42, delta: +1). Run: https://github.com/githubnext/tsessebe/actions/runs/24290127464 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Implements reshape/pivot_table.ts with full pandas.pivot_table() parity: - All aggfuncs: mean, sum, min, max, count, first, last - margins=true adds All row/column using raw data (not cell aggregates) - margins_name to customize the All label - sort option (default true) for lexicographic row/column ordering - fill_value and dropna support - Multiple index/column columns supported Tests: 25 unit tests + 4 property-based tests (fast-check) Playground: playground/pivot_table.html with 8 interactive demos Metric: 44 (previous best: 43, delta: +1) Run: https://github.com/githubnext/tsessebe/actions/runs/24290574060 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Implements pandas.DataFrame.explode / Series.explode: - explodeSeries: expand array-valued cells into individual rows - explodeDataFrame: explode one or more columns, repeating other columns - ignore_index option to reset to RangeIndex - Handles null, empty arrays, scalars, multi-column explosion (zip-longest) - 27 unit tests + property-based tests (fast-check) - Playground page with 8 interactive demos Run: https://github.com/githubnext/tsessebe/actions/runs/24291234244 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Add two new pandas features: - src/stats/factorize.ts: factorize() and factorizeSeries() — integer encoding of categorical values. First-seen or sorted order, configurable NA sentinel. 30 unit tests + 4 property-based tests. Playground: factorize.html. - src/reshape/wide_to_long.ts: wideToLong() — reshape wide-format DataFrames to long format by gathering stub-prefixed columns. Supports multiple stubs, custom separator/suffix, multiple id columns. 14 unit tests + 3 property-based tests. Playground: wide_to_long.html. Metric: 47 pandas_features_ported (previous best: 46, delta: +1) Run: https://github.com/githubnext/tsessebe/actions/runs/24292269871 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.
Program Goal
Build
tsb— a complete TypeScript port of pandas, one feature at a time. This is an open-ended program that continuously adds pandas functionality.Links
build-tsb-pandas-typescript-migration.mdCurrent Status
Best Metric: 47 pandas_features_ported
Iterations: 212
Last Run: 2026-04-11 21:45 UTC
Latest Iteration (212)
Added
stats/factorize.ts(factorize/factorizeSeries) andreshape/wide_to_long.ts(wideToLong):factorizeencodes values as integer codes (first-seen or sorted order, configurable NA sentinel)wideToLongreshapes wide-format DataFrames to long format by gathering stub-prefixed columnsfactorize.html,wide_to_long.html