-
- Notifications
You must be signed in to change notification settings - Fork 19.4k
Pull requests: pandas-dev/pandas
Author
Label
Projects
Milestones
Reviews
Assignee
Sort
Pull requests list
REF: Refactor merge array conversions for factorizer Algos Non-arithmetic algos: value_counts, factorize, sorting, isin, clip, shift, diff Refactor Internal refactoring of code
#49978 by phofl was merged Dec 1, 2022 Loading…
5 tasks
API: various .value_counts() result in different names / indices Algos Non-arithmetic algos: value_counts, factorize, sorting, isin, clip, shift, diff API Design
Backport PR #49839 on branch 1.5.x (PERF: Fix performance regression in isin for empty values) Algos Non-arithmetic algos: value_counts, factorize, sorting, isin, clip, shift, diff Performance Memory or execution speed performance Regression Functionality that used to work in a prior pandas version
DEPR/API: DataFrame.shift(axis=1, fill_value=inty) Algos Non-arithmetic algos: value_counts, factorize, sorting, isin, clip, shift, diff Deprecate Functionality to remove in pandas
PERF: Fix performance regression in isin for empty values Algos Non-arithmetic algos: value_counts, factorize, sorting, isin, clip, shift, diff Performance Memory or execution speed performance Regression Functionality that used to work in a prior pandas version
DEPR: Enforce deprecation of na_sentinel Algos Non-arithmetic algos: value_counts, factorize, sorting, isin, clip, shift, diff Deprecate Functionality to remove in pandas Missing-data np.nan, pd.NaT, pd.NA, dropna, isnull, interpolate
PERF: Avoid call to list in isin Algos Non-arithmetic algos: value_counts, factorize, sorting, isin, clip, shift, diff Performance Memory or execution speed performance
Backport PR #49162 on branch 1.5.x (PERF: Fix performance regression for isin with mismatching dtypes) Algos Non-arithmetic algos: value_counts, factorize, sorting, isin, clip, shift, diff Performance Memory or execution speed performance Regression Functionality that used to work in a prior pandas version
PERF: Fix performance regression for isin with mismatching dtypes Algos Non-arithmetic algos: value_counts, factorize, sorting, isin, clip, shift, diff Performance Memory or execution speed performance Regression Functionality that used to work in a prior pandas version
Backport PR #49140 on branch 1.5.x (Revert "PERF: faster corrwith method for pearson and spearman correlation when other is a Series and axis = 0 (column-wise) (#46174)") Algos Non-arithmetic algos: value_counts, factorize, sorting, isin, clip, shift, diff
Revert "PERF: faster corrwith method for pearson and spearman correlation when other is a Series and axis = 0 (column-wise) (#46174)" Algos Non-arithmetic algos: value_counts, factorize, sorting, isin, clip, shift, diff
ENH: Add mask support for value_counts with dropna=False Algos Non-arithmetic algos: value_counts, factorize, sorting, isin, clip, shift, diff Missing-data np.nan, pd.NaT, pd.NA, dropna, isnull, interpolate Stale
#49049 by phofl was closed Feb 22, 2023 Loading…
5 tasks
REG: fix regression in df.corrwith on tied data when method is spearman Algos Non-arithmetic algos: value_counts, factorize, sorting, isin, clip, shift, diff Regression Functionality that used to work in a prior pandas version Stale
bugfix for #48757 Algos Non-arithmetic algos: value_counts, factorize, sorting, isin, clip, shift, diff Missing-data np.nan, pd.NaT, pd.NA, dropna, isnull, interpolate
#48876 by ruifeng96150 was closed Nov 3, 2022 Loading…
5 tasks
Backport PR #48785 on branch 1.5.x (BUG: still emitting unnecessary FutureWarning in DataFrame.sort_values with sparse columns) Algos Non-arithmetic algos: value_counts, factorize, sorting, isin, clip, shift, diff Warnings Warnings that appear or should be added to pandas
BUG: still emitting unnecessary FutureWarning in DataFrame.sort_values with sparse columns Algos Non-arithmetic algos: value_counts, factorize, sorting, isin, clip, shift, diff Warnings Warnings that appear or should be added to pandas
Backport PR #48620 on branch 1.5.x (REGR: Performance decrease in factorize) Algos Non-arithmetic algos: value_counts, factorize, sorting, isin, clip, shift, diff Performance Memory or execution speed performance Regression Functionality that used to work in a prior pandas version
ENH: unique/factorize preserve non-nano Algos Non-arithmetic algos: value_counts, factorize, sorting, isin, clip, shift, diff Non-Nano datetime64/timedelta64 with non-nanosecond resolution Stale
REGR: Performance decrease in factorize Algos Non-arithmetic algos: value_counts, factorize, sorting, isin, clip, shift, diff Performance Memory or execution speed performance Regression Functionality that used to work in a prior pandas version
CLN: Simplify factorize Algos Non-arithmetic algos: value_counts, factorize, sorting, isin, clip, shift, diff Clean
Backport PR #48539 on branch 1.5.x (REGR: groupby doesn't identify null values when sort=False) Algos Non-arithmetic algos: value_counts, factorize, sorting, isin, clip, shift, diff Bug Groupby Missing-data np.nan, pd.NaT, pd.NA, dropna, isnull, interpolate Regression Functionality that used to work in a prior pandas version
REGR: groupby doesn't identify null values when sort=False Algos Non-arithmetic algos: value_counts, factorize, sorting, isin, clip, shift, diff Bug Groupby Missing-data np.nan, pd.NaT, pd.NA, dropna, isnull, interpolate Regression Functionality that used to work in a prior pandas version
PERF: Performance improvement value_counts for masked arrays Algos Non-arithmetic algos: value_counts, factorize, sorting, isin, clip, shift, diff Constructors Series/DataFrame/Index/pd.array Constructors NA - MaskedArrays Related to pd.NA and nullable extension arrays Performance Memory or execution speed performance Series Series data structure
ProTip! Filter pull requests by the default branch with base:main.