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[Autoloop] [Autoloop: build-tsb-pandas-typescript-migration]#114
github-actions[bot] wants to merge 15 commits intomainfrom
autoloop/build-tsb-pandas-typescript-migration-1bc908aa15b81aa7

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🤖 Autoloop: build-tsb-pandas-typescript-migration

Goal: Build tsb — a complete TypeScript port of pandas, one feature at a time.

Current Status

Recent Changes (Iter 210)

  • reshape/explode.ts — explodeSeries and explodeDataFrame: list-cell expansion into individual rows. Supports multi-column explosion, ignore_index, null/empty handling.

🤖 This PR is maintained by Autoloop. Each accepted iteration adds a commit to this branch.

Generated by Autoloop · ● 11M ·

github-actions Bot and others added 15 commits April 11, 2026 21:09
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
…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>
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The push_to_pull_request_branch operation failed: Pull request number is required but not found. The code changes were not applied.

🤖 Iteration 211✅ Accepted

  • Change: Add stats/factorize.tsfactorize and factorizeSeries. Encodes values as integer codes (0-based, occurrence order or sorted), returns codes + unique values. Options: sort (ascending), naValue (NA sentinel, default -1). 30 unit + 4 property-based tests. Playground factorize.html with 8 demos.
  • Metric: 46 (previous best: 45, delta: +1)
  • Commit: 620ff7a
  • Run: https://github.com/githubnext/tsessebe/actions/runs/24291664190

Generated by Autoloop · ● 8.6M ·

@mrjf mrjf marked this pull request as ready for review April 12, 2026 11:57
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mrjf commented Apr 17, 2026

Closing — superseded by #120 (the most complete migration PR).

@mrjf mrjf closed this Apr 17, 2026
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