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Pull requests: pandas-dev/pandas
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BUG: Categorical(Series[object]) not preserving categories.dtype as object Categorical Categorical Data Type Dtype Conversions Unexpected or buggy dtype conversions Strings String extension data type and string data
TST: add fillna test for filling with Categorical Categorical Categorical Data Type Missing-data np.nan, pd.NaT, pd.NA, dropna, isnull, interpolate Needs Tests Unit test(s) needed to prevent regressions Stale
#62319 by thaiv28 was closed Nov 1, 2025 Loading…
3 tasks done
BUG: merge with CategoricalDtype RecursionError Categorical Categorical Data Type Reshaping Concat, Merge/Join, Stack/Unstack, Explode
BUG: df.loc[i] with Categorical column containing NaN Categorical Categorical Data Type Indexing Related to indexing on series/frames, not to indexes themselves Missing-data np.nan, pd.NaT, pd.NA, dropna, isnull, interpolate
DEPR: Categorical with values not present in categories Categorical Categorical Data Type Deprecate Functionality to remove in pandas
BUG: Fix concat dtype preservation through concat Bug Categorical Categorical Data Type Reshaping Concat, Merge/Join, Stack/Unstack, Explode
#61893 by adrienpacifico was closed Jul 22, 2025 Loading…
2 of 5 tasks
Output formatting: preserve quoting for string categories Categorical Categorical Data Type Output-Formatting __repr__ of pandas objects, to_string Strings String extension data type and string data
BUG: groupby.groups with NA categories fails Bug Categorical Categorical Data Type Groupby Missing-data np.nan, pd.NaT, pd.NA, dropna, isnull, interpolate
BUG: Fix inconsistency of converting empty categorical with dtype_backend='pyarrow' Categorical Categorical Data Type Dtype Conversions Unexpected or buggy dtype conversions
Fix error pyarrow functionality Categorical Categorical Data Type
value_counts result with pyarrow categorical columns Arrow BUG: value_counts() check Index with PyArrow categorical columns Algos Non-arithmetic algos: value_counts, factorize, sorting, isin, clip, shift, diff Arrow pyarrow functionality Bug Categorical Categorical Data Type Stale
#60569 by meryadri was closed Jan 27, 2025 Loading…
3 of 5 tasks
BUG: fix treatment of NaNs when .apply() function is used on categorical columns. Apply Apply, Aggregate, Transform, Map Categorical Categorical Data Type
Handling conversion of empty categorical with dtype_backend='pyarrow' Bug Categorical Categorical Data Type Stale
PERF: CategoricalDtype.update_dtype Categorical Categorical Data Type Performance Memory or execution speed performance
REF: Minimize operations in recode_for_groupby Categorical Categorical Data Type Groupby Refactor Internal refactoring of code
PERF: Don't create a CategoricalIndex._engine in __contains__ if categories are RangeIndex Categorical Categorical Data Type Performance Memory or execution speed performance
ENH: Implement cummax and cummin in _accumulate() for ordered Categorical arrays Categorical Categorical Data Type Reduction Operations sum, mean, min, max, etc.
CLN: enforce deprecation of the Series[categorical].replace special-casing Categorical Categorical Data Type Clean replace replace method
BUG/PERF: groupby.transform with unobserved categories Apply Apply, Aggregate, Transform, Map Bug Categorical Categorical Data Type Groupby Performance Memory or execution speed performance
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