[Autoloop] [Autoloop: build-tsb-pandas-typescript-migration] Iteration 6: GroupBy#21
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Column-oriented 2-D labeled table (pandas.DataFrame) with: - Three factory methods: fromColumns, fromRecords, from2D - Shape/ndim/size/empty properties - Column access: col, get, has - Slicing: head, tail, iloc, loc - Column mutations: assign, drop, select, rename - Missing-value handling: isna, notna, dropna, fillna - Boolean filter - Aggregations: sum, mean, min, max, std, count, describe - Sorting: sortValues (single/multi-column, mixed dirs), sortIndex - apply (axis=0 column-wise, axis=1 row-wise) - Iteration: items, iteritems, iterrows - Conversion: toRecords, toDict, toArray - Index manipulation: resetIndex, setIndex - toString (aligned text table) Full test suite (35+ test cases) and interactive playground page. Run: https://github.com/githubnext/tsessebe/actions/runs/23971604724 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Implement SeriesGroupBy and DataFrameGroupBy — the split-apply-combine engine, mirroring pandas.core.groupby. src/groupby/groupby.ts: - SeriesGroupBy: group a Series by a label array, index, or another Series - DataFrameGroupBy: group a DataFrame by one or more column names - Built-in aggregations: sum, mean, min, max, count, first, last, std - agg(func | builtinName | spec) for uniform or per-column aggregation - transform(): same-shape result (e.g., demeaning) - apply(): arbitrary function returning one scalar per group - getGroup(key): retrieve a sub-Series or sub-DataFrame for a group - Symbol.iterator: iterate over [key, group] pairs - toLabel() helper safely coerces bigint/Date keys to Label-compatible strings tests/groupby/groupby.test.ts: - 35+ unit tests covering construction, all aggregations, transform, apply, getGroup, iteration, error handling - 4 property-based tests (fast-check): sum invariant, count invariant, ngroups bounds playground/groupby.html: - Full interactive tutorial page for GroupBy Run: https://github.com/githubnext/tsessebe/actions/runs/23971938070 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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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.Iteration 6 Summary — GroupBy
Implemented
SeriesGroupByandDataFrameGroupBy— the split-apply-combine engine at the heart of pandas' groupby API.src/groupby/groupby.tsSeriesGroupBy (from
seriesGroupBy(series, by)):"index"(own index labels), or anotherSeriessum,mean,min,max,count,first,last,stdagg(func | builtinName)— uniform aggregationtransform(func)— same-shape result (e.g., group demeaning)apply(func)— one scalar per groupgetGroup(key),Symbol.iteratorDataFrameGroupBy (from
dataFrameGroupBy(df, by)):agg(spec)— per-column aggregations ({ score: "sum", weight: "mean" })transform(column, func)— column-wise transform returning same-length Seriesapply(func),getGroup(key),Symbol.iteratorBuilt-in aggregations:
sum,mean,min,max,count,first,last,std(sample)tests/groupby/groupby.test.ts— 35+ testsfast-check: sum invariant, count invariant, ngroups bounds, cross-DataFrame sum invariantplayground/groupby.htmlInteractive tutorial page covering all GroupBy API.
playground/index.htmlGroupBy marked as ✅ Complete in the roadmap.
Metric:
pandas_features_ported= 7 (was 6, +1)Links