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Pull requests: pandas-dev/pandas
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PERF: indexing Indexing Related to indexing on series/frames, not to indexes themselves Performance Memory or execution speed performance
PERF/REGR: isin slowdown for masked type isin isin method NA - MaskedArrays Related to pd.NA and nullable extension arrays Performance Memory or execution speed performance Regression Functionality that used to work in a prior pandas version
CLN/PERF: remove gc.collect from the setting_with_copy checks as not needed Clean Performance Memory or execution speed performance
PERF: avoid printing object in Dtype.construct_from_string message Performance Memory or execution speed performance
PERF: 5x speedup for read_json() with orient='index' by avoiding transpose IO JSON read_json, to_json, json_normalize Performance Memory or execution speed performance
REF: Refactor signature of RangeIndex._simple_new Index Related to the Index class or subclasses Performance Memory or execution speed performance Refactor Internal refactoring of code
PERF: building MultiIndex with categorical levels Categorical Categorical Data Type MultiIndex Performance Memory or execution speed performance
PERF: perform a unique intersection with IntervalIndex if at least one side is unique Interval Interval data type Performance Memory or execution speed performance
PERF: restore DatetimeIndex.__iter__ performance by using non-EA implementation Datetime Datetime data dtype Performance Memory or execution speed performance
PERF: custom ops for RangeIndex.[all|any|__contains__] Index Related to the Index class or subclasses Performance Memory or execution speed performance
PERF: Add if branch for empty sep in str.cat Performance Memory or execution speed performance Strings String extension data type and string data
PERF: don't call RangeIndex._data unnecessarily Index Related to the Index class or subclasses Performance Memory or execution speed performance
[PERF] Get rid of MultiIndex conversion in IntervalIndex.is_unique Interval Interval data type Performance Memory or execution speed performance
New benchmarks for parsing dates with dayfirst=True and format='%d-%m-%Y' Datetime Datetime data dtype IO CSV read_csv, to_csv Performance Memory or execution speed performance
PERF: regression fixup for timestamp.TimestampConstruction.time_parse_iso8601_tz benchmark Datetime Datetime data dtype Performance Memory or execution speed performance
[PERF] Get rid of MultiIndex conversion in IntervalIndex.intersection Interval Interval data type Performance Memory or execution speed performance
PERF: added no exception versions of '_string_to_dts' and 'parse_iso_8601_datetime' functions Datetime Datetime data dtype Performance Memory or execution speed performance
PERF: Cython version of Python _TIMEPAT regexp in parsing.pyx Datetime Datetime data dtype Performance Memory or execution speed performance
PERF: changed default value of cache parameter to True in to_datetime function API Design Datetime Datetime data dtype Performance Memory or execution speed performance
ENH: added new cache_dates parameter for read_csv func Datetime Datetime data dtype Enhancement IO CSV read_csv, to_csv Performance Memory or execution speed performance
PERF: Fix performance regression with Series statistical ops (#25952) Performance Memory or execution speed performance
Speed up checking for NaN for floats Missing-data np.nan, pd.NaT, pd.NA, dropna, isnull, interpolate Performance Memory or execution speed performance
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