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Pull requests: pandas-dev/pandas
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PERF/CLN: avoid potential copies in ravel Performance Memory or execution speed performance Reshaping Concat, Merge/Join, Stack/Unstack, Explode
PERF: short-circuit allocations in infer_dtype, ensure_datetime64ns Performance Memory or execution speed performance
PERF: Faster SparseArray.__getitem__ for boolean masks (#23122) Indexing Related to indexing on series/frames, not to indexes themselves Performance Memory or execution speed performance Sparse Sparse Data Type
PERF: Improve performance in to_csv with date format for index IO CSV read_csv, to_csv Performance Memory or execution speed performance
PERF: any/all with axis=1 Performance Memory or execution speed performance Reshaping Concat, Merge/Join, Stack/Unstack, Explode
PERF: faster dataframe construction from recarray Performance Memory or execution speed performance Reshaping Concat, Merge/Join, Stack/Unstack, Explode
PERF: unstack Performance Memory or execution speed performance Reshaping Concat, Merge/Join, Stack/Unstack, Explode
PERF/TYP: typing cast in __getitem__ gives quite some overhead Performance Memory or execution speed performance Typing type annotations, mypy/pyright type checking
#44624 by jorisvandenbossche was merged Dec 3, 2021 Loading…
PERF: Improve performance in read_csv with numeric index col IO CSV read_csv, to_csv Performance Memory or execution speed performance
PERF: check first for recognized scalars in DatetimeArray._validate_scalar Performance Memory or execution speed performance
PERF: improve find_common_type perf for special case of all-equal dtypes Performance Memory or execution speed performance
PERF: tighter cython declarations, faster __iter__ Internals Related to non-user accessible pandas implementation Performance Memory or execution speed performance
[PERF] Improve performace of read_csv with memory_map=True when file encoding is UTF-8 IO CSV read_csv, to_csv Performance Memory or execution speed performance Unicode Unicode strings
PERF: materialize less on slice in sparse __getitem__ Indexing Related to indexing on series/frames, not to indexes themselves Performance Memory or execution speed performance Sparse Sparse Data Type
PERF: Groupby.quantile Groupby Numeric Operations Arithmetic, Comparison, and Logical operations Performance Memory or execution speed performance
ENH: omit CSSStyle rules for hidden table elements (#43619) Performance Memory or execution speed performance Styler conditional formatting using DataFrame.style
ENH: RangeIndex.sort_values now avoids materialization of values Enhancement Index Related to the Index class or subclasses Performance Memory or execution speed performance
PERF: sparse take Indexing Related to indexing on series/frames, not to indexes themselves Performance Memory or execution speed performance Sparse Sparse Data Type
PERF: groupby with string dtype Groupby Performance Memory or execution speed performance Regression Functionality that used to work in a prior pandas version Strings String extension data type and string data
PERF: Improve performance in rolling.mean(engine="numba") numba numba-accelerated operations Performance Memory or execution speed performance
BUG/PERF: sparse min/max don't densify Bug Performance Memory or execution speed performance Reduction Operations sum, mean, min, max, etc. Sparse Sparse Data Type
PERF: groupby.quantile Algos Non-arithmetic algos: value_counts, factorize, sorting, isin, clip, shift, diff Performance Memory or execution speed performance
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