pandas-dev/pandas issues and pull requests

#62513 - FutureWarning: DataFrameGroupBy.apply does not have a clear solution.

Issue - State: closed - Opened by hunterhogan about 2 months ago - 4 comments
Labels: Groupby, Apply, Closing Candidate

#62134 - BUG: groupby.apply() drops _metadata from subclassed DataFrame

Issue - State: closed - Opened by JBGreisman 3 months ago - 1 comment
Labels: Bug, Groupby, Apply, metadata, Subclassing

#62025 - BUG: Change default of observed in Series.groupby

Pull Request - State: closed - Opened by rhshadrach 4 months ago
Labels: Bug, Groupby, Categorical

#61909 - BUG: fix fill value for gouped sum in case of unobserved categories for string dtype (empty string instead of 0)

Pull Request - State: open - Opened by jorisvandenbossche 4 months ago
Labels: Bug, Groupby, Strings

#61640 - BUG: Fix GroupBy aggregate coersion of outputs inconsistency for pyarrow dtypes

Pull Request - State: closed - Opened by heoh 5 months ago - 4 comments
Labels: Bug, Groupby, Stale, Arrow

#61640 - BUG: Fix GroupBy aggregate coersion of outputs inconsistency for pyarrow dtypes

Pull Request - State: open - Opened by heoh 5 months ago
Labels: Bug, Groupby, Arrow

#61636 - BUG: Groupby aggregate coersion of outputs inconsistency for pyarrow dtypes

Issue - State: closed - Opened by AndrejIring 5 months ago - 2 comments
Labels: Bug, Groupby, Arrow

#61364 - BUG: groupby.groups with NA categories fails

Pull Request - State: closed - Opened by rhshadrach 7 months ago
Labels: Bug, Groupby, Missing-data, Categorical

#61364 - BUG: groupby.groups with NA categories fails

Pull Request - State: closed - Opened by rhshadrach 7 months ago - 1 comment
Labels: Bug, Groupby, Missing-data, Categorical

#61361 - REGR: Fix signature of GroupBy.expanding

Issue - State: closed - Opened by rhshadrach 7 months ago - 4 comments
Labels: Bug, Groupby, Regression, Blocker, Window

#61356 - BUG: `DataFrameGroupBy.groups` fails when Categorical indexer contains NaNs and `dropna=False`

Issue - State: closed - Opened by tehunter 7 months ago - 1 comment
Labels: Bug, Groupby, Missing-data, Categorical

#61345 - Update groupby().first() documentation to clarify behavior with missing data (#27578)

Pull Request - State: closed - Opened by ericcht 7 months ago - 1 comment
Labels: Docs, Groupby

#61345 - Update groupby().first() documentation to clarify behavior with missing data (#27578)

Pull Request - State: closed - Opened by ericcht 7 months ago - 1 comment
Labels: Docs, Groupby

#61334 - DOC: Updated `groupby.ewm` arguments

Pull Request - State: closed - Opened by arthurlw 7 months ago - 1 comment
Labels: Groupby, Window

#61334 - DOC: Updated `groupby.ewm` arguments

Pull Request - State: closed - Opened by arthurlw 7 months ago
Labels: Groupby, Window

#61318 - ENH: inspect duplicate rows for columns that vary

Issue - State: closed - Opened by kirisakow 7 months ago - 2 comments
Labels: Enhancement, Groupby, Closing Candidate

#61274 - DOC: Add documentation for `groupby.expanding()`

Pull Request - State: closed - Opened by arthurlw 7 months ago - 2 comments
Labels: Docs, Groupby, Window

#61274 - DOC: Add documentation for `groupby.expanding()`

Pull Request - State: closed - Opened by arthurlw 7 months ago
Labels: Docs, Groupby, Window

#61254 - DOC: Add documentation for groupby.expanding()

Issue - State: closed - Opened by olek-osikowicz 8 months ago - 2 comments
Labels: Docs, Groupby, Window

#61233 - BUG: Fix scatter plot colors in groupby context to match line plot behavior (#59846)

Pull Request - State: open - Opened by myenugula 8 months ago - 4 comments
Labels: Bug, Groupby, Visualization, Stale

#61031 - BUG: `ValueError: ndarray is not C-contiguous` for `cummax` on nullable dtypes

Issue - State: open - Opened by MarcoGorelli 9 months ago - 3 comments
Labels: Bug, Groupby, NA - MaskedArrays, Transformations

#60985 - BUG(string dtype): groupby/resampler.min/max returns float on all NA strings

Pull Request - State: closed - Opened by rhshadrach 9 months ago - 4 comments
Labels: Bug, Groupby, Missing-data, Strings, Reduction Operations

#60936 - BUG(string dtype): Empty sum produces incorrect result

Pull Request - State: open - Opened by rhshadrach 9 months ago
Labels: Groupby, Missing-data, Strings

#60936 - BUG(string dtype): Empty sum produces incorrect result

Pull Request - State: closed - Opened by rhshadrach 9 months ago - 4 comments
Labels: Groupby, Missing-data, Strings

#60894 - BUG: Prevent pd.Series.groupby from showing FutureWarning

Pull Request - State: closed - Opened by sanggon6107 9 months ago - 1 comment
Labels: Bug, Groupby, Warnings

#60871 - PERF: Fix groupby skipna performance

Pull Request - State: closed - Opened by snitish 10 months ago - 2 comments
Labels: Groupby, Performance

#60871 - PERF: Fix groupby skipna performance

Pull Request - State: closed - Opened by snitish 10 months ago - 1 comment
Labels: Groupby, Performance

#60870 - PERF: Regression in groupby ops from adding skipna

Issue - State: closed - Opened by rhshadrach 10 months ago - 2 comments
Labels: Groupby, Missing-data, Performance, Regression

#60831 - BUG: `pd.Series.groupby` issues `FutureWarning`

Issue - State: closed - Opened by TiborVoelcker 10 months ago - 7 comments
Labels: Bug, Groupby, Warnings

#60810 - BUG: Inconsistent dtype with GroupBy for StrDtype and all missing values

Issue - State: open - Opened by WillAyd 10 months ago
Labels: Bug, Groupby, Strings

#60752 - ENH: Support skipna parameter in GroupBy min, max, prod, median, var, std and sem methods

Pull Request - State: closed - Opened by snitish 10 months ago - 4 comments
Labels: Enhancement, Groupby, Missing-data

#60749 - Fix group_sum NaN comparison warnings

Pull Request - State: closed - Opened by WillAyd 10 months ago
Labels: Groupby

#60749 - Fix group_sum NaN comparison warnings

Pull Request - State: closed - Opened by WillAyd 10 months ago - 1 comment
Labels: Groupby

#60741 - ENH: Support skipna parameter in GroupBy mean and sum

Pull Request - State: closed - Opened by snitish 10 months ago
Labels: Groupby

#60741 - ENH: Support skipna parameter in GroupBy mean and sum

Pull Request - State: closed - Opened by snitish 10 months ago - 3 comments
Labels: Groupby

#60712 - TST(string dtype): Resolve xfail when grouping by nan column

Pull Request - State: closed - Opened by rhshadrach 10 months ago - 7 comments
Labels: Testing, Groupby, Strings

#60712 - TST(string dtype): Resolve xfail when grouping by nan column

Pull Request - State: open - Opened by rhshadrach 10 months ago
Labels: Testing, Groupby, Strings

#60711 - TST(string dtype): Resolve xfail in groupby.test_size

Pull Request - State: closed - Opened by rhshadrach 10 months ago
Labels: Testing, Groupby, Strings

#60711 - TST(string dtype): Resolve xfail in groupby.test_size

Pull Request - State: closed - Opened by rhshadrach 10 months ago - 2 comments
Labels: Testing, Groupby, Strings

#60631 - TST: Remove test_apply_mutate.py

Pull Request - State: closed - Opened by rhshadrach 11 months ago
Labels: Testing, Groupby, Apply

#60631 - TST: Remove test_apply_mutate.py

Pull Request - State: closed - Opened by rhshadrach 11 months ago - 1 comment
Labels: Testing, Groupby, Apply

#60620 - TST/CLN: Improve some groupby.apply tests

Pull Request - State: closed - Opened by rhshadrach 11 months ago - 1 comment
Labels: Testing, Groupby, Clean

#60619 - TST/CLN: Remove groupby tests with mutation

Pull Request - State: closed - Opened by rhshadrach 11 months ago - 1 comment
Labels: Testing, Groupby, Clean

#60619 - TST/CLN: Remove groupby tests with mutation

Pull Request - State: closed - Opened by rhshadrach 11 months ago
Labels: Testing, Groupby, Clean

#60567 - BUG: groupby with dropna=False and pa.dictionary drops NA values

Issue - State: open - Opened by rhshadrach 11 months ago
Labels: Groupby, Missing-data, Arrow

#60566 - DEPR: Enforce deprecation of include_groups in groupby.apply

Pull Request - State: closed - Opened by rhshadrach 11 months ago - 1 comment
Labels: Groupby, Deprecate, Apply

#60566 - DEPR: Enforce deprecation of include_groups in groupby.apply

Pull Request - State: closed - Opened by rhshadrach 11 months ago
Labels: Groupby, Deprecate, Apply

#60565 - CLN: Remove deprecations of groupby.fillna in tests

Pull Request - State: closed - Opened by rhshadrach 11 months ago
Labels: Testing, Groupby, Deprecate, Clean

#60565 - CLN: Remove deprecations of groupby.fillna in tests

Pull Request - State: closed - Opened by rhshadrach 11 months ago - 1 comment
Labels: Testing, Groupby, Deprecate, Clean

#60549 - ENH: Support NamedAggs in kwargs in Rolling/Expanding/EWM agg method

Pull Request - State: closed - Opened by snitish 11 months ago - 1 comment
Labels: Groupby, Window

#60549 - ENH: Support NamedAggs in kwargs in Rolling/Expanding/EWM agg method

Issue - State: closed - Opened by snitish 11 months ago
Labels: Groupby, Window

#60505 - BUG: Fix bug in GroupBy that ignores group_keys arg for empty datafra…

Pull Request - State: closed - Opened by snitish 12 months ago - 1 comment
Labels: Groupby, Apply

#60505 - BUG: Fix bug in GroupBy that ignores group_keys arg for empty datafra…

Pull Request - State: closed - Opened by snitish 12 months ago
Labels: Groupby, Apply

#60477 - Fix docstring groupby

Pull Request - State: closed - Opened by githubalexliu 12 months ago - 3 comments
Labels: Docs, Groupby

#60475 - DOC: Fix docstrings errors SEM and GET_GROUP

Pull Request - State: closed - Opened by Axeldnahcram 12 months ago - 2 comments
Labels: Docs, Groupby

#60475 - DOC: Fix docstrings errors SEM and GET_GROUP

Pull Request - State: closed - Opened by Axeldnahcram 12 months ago - 3 comments
Labels: Docs, Groupby

#60474 - DOC: DataFrameGroupBy.idxmin() returns DataFrame, documentation says Serie

Pull Request - State: closed - Opened by Axeldnahcram 12 months ago - 1 comment
Labels: Docs, Groupby

#60474 - DOC: DataFrameGroupBy.idxmin() returns DataFrame, documentation says Serie

Pull Request - State: closed - Opened by Axeldnahcram 12 months ago
Labels: Docs, Groupby

#60471 - BUG: DataFrameGroupBy.apply ignores group_keys setting when empty

Issue - State: closed - Opened by ManelBH 12 months ago - 2 comments
Labels: Bug, Groupby, Apply

#60444 - Fix indices docstrings, DataFrameGroupBy, SeriesGroupBy, Resampler

Pull Request - State: closed - Opened by gvmmybear 12 months ago - 1 comment
Labels: Docs, Groupby, Resample

#60433 - ENH: Support kurtosis (kurt) in DataFrameGroupBy and SeriesGroupBy

Pull Request - State: closed - Opened by snitish 12 months ago - 4 comments
Labels: Groupby, Reduction Operations

#60317 - [backport 2.3.x] TST (string dtype): resolve all easy xfails in pandas/tests/groupby (#60314)

Pull Request - State: closed - Opened by jorisvandenbossche about 1 year ago
Labels: Groupby, Strings

#60317 - [backport 2.3.x] TST (string dtype): resolve all easy xfails in pandas/tests/groupby (#60314)

Pull Request - State: closed - Opened by jorisvandenbossche about 1 year ago
Labels: Groupby, Strings

#60303 - BUG: inconsistent treatment of overflows between groupby.sum() and groupby.apply(lambda: _grp: _grp.sum()) and DataFrame.resample

Issue - State: open - Opened by vasil-pashov about 1 year ago - 1 comment
Labels: Bug, Groupby, Reduction Operations

#60252 - DOC: fix SA01,ES01 for pandas.core.groupby.DataFrameGroupBy.groups, pandas.core.groupby.SeriesGroupBy.groups and pandas.core.resample.Resampler.groups

Pull Request - State: closed - Opened by tuhinsharma121 about 1 year ago
Labels: Docs, Groupby

#60246 - [backport 2.3.x] TST (string dtype): fix groupby xfails with using_infer_string + update error message (#59430)

Pull Request - State: closed - Opened by jorisvandenbossche about 1 year ago - 1 comment
Labels: Testing, Groupby, Strings

#60246 - [backport 2.3.x] TST (string dtype): fix groupby xfails with using_infer_string + update error message (#59430)

Pull Request - State: closed - Opened by jorisvandenbossche about 1 year ago - 1 comment
Labels: Testing, Groupby, Strings

#60229 - BUG/API: sum of a string column with all-NaN or empty

Issue - State: open - Opened by jorisvandenbossche about 1 year ago
Labels: Bug, Groupby, Strings

#60087 - QST: Why is it necessary to not allow `include_groups=True` in future versions for groupby(...).apply(...) operations?

Issue - State: closed - Opened by mattmills49 about 1 year ago - 3 comments
Labels: Groupby, Usage Question, Needs Info, Apply

GitHub / pandas-dev/pandas issues and pull requests