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Forked from pandas-dev/pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
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2,138 contributions in the last year
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Activity overview
Contributed to
pandas-dev/pandas,
ibis-project/ibis,
conda-forge/ibis-framework-feedstock
and 3 other
repositories
Contribution activity
March 2021
Reviewed 26 pull requests in 2 repositories
pandas-dev/pandas 21 pull requests
- BUG: Set dtypes of new columns when stacking (#36991)
- CI: xfail npdev test_groupby_apply_identity
- API: pseudo-public internals API for downstream libraries
- WIP: ENH: Support ZoneInfo timezones
- [ArrayManager] DataFrame constructors
- ENH: 'encoding_errors' argument for read_csv/json
- REF: split out to_datetime_with_unit, _to_datetime_with_format
- BUG: Series.loc raising KeyError for Iterator indexer in case of setitem
- ENH: Styler builtins: `highlight_range` and `highlight_quantile`
- DEPR: `Styler.set_na_rep` and `.set_precision` in favour of `.format(na_rep='x', precision=3)`
- [ArrayManager] Add SingleArrayManager to back a Series
- BUG: df.loc setitem-with-expansion with duplicate index
- Deprecate DataFrame indexer for iloc setitem and getitem
- PERF: cache _get_cython_function in groupby ops
- REF: remove internal Block usage from FrameColumnApply
- REF: move Block.astype implementation to dtypes/cast.py
- Use tempfile for creating a file in home directory for a IO test
- DOC: 1.2.3 release date
- ENH: Implement rounding for floating dtype array #38844
- PERF: json_normalize, for basic use case
- TST: collect tests by method, split large tests