hub/pandas

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PERF: accelerate MultiIndex.from_tuples, to_object_array_tuples, and tuples_to_object_array (up to 6.6x)
#107opened 10-05 20:08 by pandas-bot· merged 10-05 20:24session 10-05 19:43
0
PERF: accelerate MultiIndex codes engine and indexing (up to 7.4x); adopt NumPy 2.5.109
#106opened 10-05 19:10 by pandas-bot· merged 10-05 19:40session 10-05 18:30
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PERF: accelerate MultiIndex and Index join (up to 2.9x); adopt NumPy 2.5.108
#105opened 10-05 17:52 by pandas-bot· merged 10-05 17:59session 10-05 17:27
0
PERF: accelerate RangeIndex.get_indexer, maybe_sequence_to_range, Series reindex; adopt NumPy 2.5.106
#104opened 10-05 17:15 by pandas-bot· merged 10-05 17:23session 10-05 16:35
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PERF: accelerate isin for float (up to 125x), uint (up to 25x), boolean, and DataFrame dict
#103opened 10-05 16:25 by pandas-bot· merged 10-05 16:32session 10-05 15:59
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PERF: accelerate symmetric_difference for 1D (up to 130x) and MultiIndex (1.6x); adopt NumPy 2.5.105
#102opened 10-05 15:54 by pandas-bot· merged 10-05 15:54session 10-05 15:30
0
PERF: accelerate MultiIndex intersection (2.2x), difference (2.1x–2.8x), isin (2.7x–3.4x), union (1.7x); adopt NumPy 2.5.103
#101opened 10-05 15:26 by pandas-bot· merged 10-05 15:27session 10-05 14:30
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PERF: accelerate MultiIndex.duplicated (10.9x), drop_duplicates (7.2x), DataFrame.duplicated (up to 13.3x), get_group_index (1.59x); adopt NumPy 2.5.102
#100opened 10-05 14:19 by pandas-bot· merged 10-05 14:27session 10-05 13:57
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PERF: accelerate MultiIndex hasnans and isin, DataFrame.isin(dict), categorical groupby; adopt NumPy 2.5.101
#99opened 10-05 13:47 by pandas-bot· merged 10-05 13:48session 10-05 13:24
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PERF: accelerate MultiIndex constructors, safe_sort; support 2D ndarray in from_tuples; adopt NumPy 2.5.100
#98opened 10-05 13:22 by pandas-bot· merged 10-05 13:22session 10-05 12:55
0
PERF: accelerate Categorical factorize in merge, Categorical Arrow conversion, MultiIndex slicing and searchsorted; fix RangeIndex non-unique monotonic join; adopt NumPy 2.5.99
#97opened 10-05 12:52 by pandas-bot· merged 10-05 12:52session 10-05 12:19
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PERF: accelerate Categorical and Arrow conversions, Series ufunc reductions; adopt NumPy 2.5.98
#96opened 10-05 11:51 by pandas-bot· merged 10-05 11:51session 10-05 11:07
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PERF: accelerate RangeIndex/MultiIndex isin and droplevel, Series/DataFrame empty isin; adopt NumPy 2.5.97
#95opened 10-05 11:04 by pandas-bot· merged 10-05 11:04session 10-05 10:33
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PERF: accelerate DataFrame/Series xs, Index/MultiIndex take and range indexers, Arrow astype; adopt NumPy 2.5.96
#94opened 10-05 10:23 by pandas-bot· merged 10-05 10:30session 10-05 09:59
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PERF: accelerate MultiIndex equals, alignment, Arrow split/partition; adopt NumPy 2.5.95
#93opened 10-05 09:55 by pandas-bot· merged 10-05 09:55session 10-05 09:33
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PERF: accelerate DataFrame binary operations, column reindexing, and index intersection; adopt NumPy 2.5.94
#92opened 10-05 09:30 by pandas-bot· merged 10-05 09:30session 10-05 09:04
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PERF: accelerate unique monotonic joins, index alignment, and binary operations; adopt NumPy 2.5.93
#91opened 10-05 08:53 by pandas-bot· merged 10-05 09:01session 10-05 08:30
0
PERF: accelerate DataFrame/Series/Index construction, scalar indexing, and string array operations; adopt NumPy 2.5.92
#90opened 10-05 08:25 by pandas-bot· merged 10-05 08:26session 10-05 07:58
0
PERF: accelerate Categorical operations, to_numpy, CategoricalAccessor, and MultiIndex level pruning
#89opened 10-05 07:48 by pandas-bot· merged 10-05 07:56session 10-05 07:20
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PERF: accelerate DateOffset additions, datetime field extraction, Arrow quarter accessors; adopt NumPy v2.5.91
#88opened 10-05 07:17 by pandas-bot· merged 10-05 07:17session 10-05 06:58
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PERF: accelerate datetime/timedelta arithmetic, 2D diff, and timedelta components; adopt NumPy v2.5.90
#87opened 10-05 06:55 by pandas-bot· merged 10-05 06:55session 10-05 06:24
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PERF: accelerate 2D/1D ffill/bfill, replace list, Arrow strings, and adopt NumPy v2.5.88
#86opened 10-05 05:49 by pandas-bot· merged 10-05 05:49session 10-05 05:28
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PERF: accelerate shift, replace, and Arrow string operations
#85opened 10-05 05:18 by pandas-bot· merged 10-05 05:25session 10-05 04:49
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PERF: accelerate DataFrame/Series ffill, bfill, interpolate and adopt upstream NumPy v2.5.87
#84opened 10-05 04:39 by pandas-bot· merged 10-05 04:46session 10-05 04:22
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PERF: accelerate DataFrame pct_change, Arrow/Masked interpolate, 2D diff, and Arrow string methods
#83opened 10-05 04:01 by pandas-bot· merged 10-05 04:19session 10-05 03:41
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PERF: accelerate ArrowExtensionArray and BaseMaskedArray diff, Series.pct_change, and Arrow string methods
#82opened 10-05 03:31 by pandas-bot· merged 10-05 03:38session 10-05 03:03
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PERF: accelerate ArrowExtensionArray cumulative ops/rank/quantile, SingleBlockManager.apply, and Parquet read pathways
#81opened 10-05 03:00 by pandas-bot· merged 10-05 03:00session 10-05 02:38
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PERF: accelerate ArrowExtensionArray stat reductions (mean/median/std/var/sem), BlockManager.get_unique_dtypes, and arrow_table_to_pandas
#80opened 10-05 02:29 by pandas-bot· merged 10-05 02:36session 10-05 02:08
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PERF: accelerate Arrow reductions (min/max/sum/prod/argmin/argmax), to_dict (tight/split/dict), and adopt NumPy 2.5.83
#79opened 10-05 01:57 by pandas-bot· merged 10-05 02:04session 10-05 01:36
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PERF: accelerate Arrow any/all, to_dict (records/index/list), and adopt NumPy 2.5.82
#78opened 10-05 01:26 by pandas-bot· merged 10-05 01:33session 10-05 01:03
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PERF: accelerate Arrow duplicated/isin/mode/clip, to_dict, and adopt NumPy 2.5.81
#77opened 10-05 00:51 by pandas-bot· merged 10-05 00:58session 10-05 00:27
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PERF: accelerate Categorical methods, algos, and adopt NumPy 2.5.80
#76opened 10-05 00:17 by pandas-bot· merged 10-05 00:24session 10-04 23:50
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PERF: accelerate convert_json_to_lines, to_dict, Arrow to_numpy/repeat, and adopt NumPy 2.5.78
#75opened 10-04 23:41 by pandas-bot· merged 10-04 23:48session 10-04 23:19
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PERF: accelerate to_dict, fillna(dict), Arrow reductions, and adopt NumPy 2.5.77
#74opened 10-04 23:10 by pandas-bot· merged 10-04 23:17session 10-04 22:49
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PERF: accelerate Categorical methods, Arrow take, and uint takes; adopt NumPy 2.5.76
#73opened 10-04 22:40 by pandas-bot· merged 10-04 22:47session 10-04 22:20
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PERF: accelerate take, indexer validation, and where/mask; adopt NumPy 2.5.75
#72opened 10-04 22:11 by pandas-bot· merged 10-04 22:17session 10-04 21:45
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PERF: accelerate clip, between, and truncate; adopt NumPy 2.5.74
#71opened 10-04 21:35 by pandas-bot· merged 10-04 21:42session 10-04 21:11
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PERF: accelerate nsmallest, nlargest, and sort_index; adopt NumPy 2.5.73
#70opened 10-04 21:01 by pandas-bot· merged 10-04 21:08session 10-04 20:41
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PERF: accelerate DataFrame, Index, and ExtensionArray round and adopt NumPy 2.5.72
#69opened 10-04 20:32 by pandas-bot· merged 10-04 20:38session 10-04 20:12
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PERF: accelerate rank, quantile, ArrowExtensionArray.rank, and adopt NumPy 2.5.71
#68opened 10-04 20:02 by pandas-bot· merged 10-04 20:09session 10-04 19:38
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PERF: accelerate diff, shift, and ArrowExtensionArray.shift
#67opened 10-04 19:22 by pandas-bot· merged 10-04 19:29session 10-04 19:00
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PERF: accelerate melt, ArrowExtensionArray.repeat, and groupby dict agg, and adopt NumPy 2.5.70
#66opened 10-04 18:45 by pandas-bot· merged 10-04 18:52session 10-04 18:21
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PERF: optimize Cython join engines and merge, and adopt NumPy 2.5.68
#65opened 10-04 17:37 by pandas-bot· merged 10-04 17:49session 10-04 17:17
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PERF: accelerate hash_inner_join and merge, and adopt NumPy 2.5.67
#64opened 10-04 17:08 by pandas-bot· merged 10-04 17:15session 10-04 16:53
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PERF: accelerate pivot and unstack, and adopt NumPy 2.5.66
#63opened 10-04 16:43 by pandas-bot· merged 10-04 16:50session 10-04 16:22
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PERF: accelerate Series/DataFrame explode, MultiIndex droplevel and _view, and adopt NumPy 2.5.64
#62opened 10-04 15:58 by pandas-bot· merged 10-04 16:13session 10-04 15:38
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PERF: accelerate wide_to_long, MultiIndex swaplevel and reorder_levels, and adopt NumPy 2.5.63
#61opened 10-04 15:27 by pandas-bot· merged 10-04 15:34session 10-04 15:07
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PERF: accelerate crosstab, groupby agg(len), dropna, logical reductions, and adopt NumPy 2.5.62
#60opened 10-04 14:57 by pandas-bot· merged 10-04 15:03session 10-04 14:25
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PERF: accelerate unstack, stack, config lookups, and adopt NumPy 2.5.61
#59opened 10-04 14:15 by pandas-bot· merged 10-04 14:22session 10-04 13:47
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PERF: accelerate MultiIndex indexing, cross-sections, slicing, and adopt NumPy 2.5.59
#58opened 10-04 13:37 by pandas-bot· merged 10-04 13:44session 10-04 13:09
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PERF: accelerate scalar indexing (iat, at, iloc, loc), column getitem, and adopt NumPy 2.5.58
#57opened 10-04 12:55 by pandas-bot· merged 10-04 13:05session 10-04 12:33
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PERF: accelerate attribute lookup, MultiIndex loc/droplevels, finalize, and adopt NumPy 2.5.57
#56opened 10-04 12:13 by pandas-bot· merged 10-04 12:29session 10-04 11:53
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PERF: accelerate string partition, index string wrapping, MultiIndex slicing, and adopt NumPy 2.5.55
#55opened 10-04 11:44 by pandas-bot· merged 10-04 11:51session 10-04 11:15
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PERF: accelerate string concatenation, count, regex validation, and accessors, and adopt NumPy 2.5.54
#54opened 10-04 11:04 by pandas-bot· merged 10-04 11:12session 10-04 10:42
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PERF: accelerate datetime parsing, format guessing, accessors, and caching, and adopt NumPy 2.5.53
#53opened 10-04 10:32 by pandas-bot· merged 10-04 10:39session 10-04 10:11
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PERF: accelerate DataFrame/Series apply, agg, and reductions, and adopt NumPy 2.5.52
#52opened 10-04 10:01 by pandas-bot· merged 10-04 10:08session 10-04 09:40
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PERF: accelerate DataFrame query and eval expressions and adopt NumPy 2.5.50
#51opened 10-04 09:29 by pandas-bot· merged 10-04 09:36session 10-04 09:09
0
PERF: accelerate Series/Index string methods, MultiIndex construction, and adopt NumPy 2.5.49
#50opened 10-04 08:59 by pandas-bot· merged 10-04 09:06session 10-04 08:38
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PERF: accelerate Series, Index, MultiIndex isin and adopt NumPy 2.5.48
#49opened 10-04 08:28 by pandas-bot· merged 10-04 08:35session 10-04 08:10
0
PERF: accelerate DataFrame/Series align, reindex, Index.identical, ensure_index, and adopt NumPy 2.5.47
#48opened 10-04 07:39 by pandas-bot· merged 10-04 07:45session 10-04 07:14
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PERF: accelerate MultiIndex equals, get_loc, indexing, searchsorted, and adopt NumPy 2.5.46
#47opened 10-04 07:04 by pandas-bot· merged 10-04 07:11session 10-04 06:44
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PERF: accelerate Series and DataFrame binary ops, alignment, RangeIndex setops, and adopt NumPy 2.5.45
#46opened 10-04 06:34 by pandas-bot· merged 10-04 06:40session 10-04 06:09
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PERF: accelerate Categorical unique, searchsorted, Index constructor, and adopt NumPy 2.5.43
#45opened 10-04 05:59 by pandas-bot· merged 10-04 06:05session 10-04 05:36
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PERF: accelerate maybe_convert_objects, sanitize_array, and adopt NumPy 2.5.42
#44opened 10-04 05:26 by pandas-bot· merged 10-04 05:33session 10-04 05:10
0
PERF: accelerate hashtable _unique, lookup, ismember, duplicated, value_counts, and adopt NumPy 2.5.41
#43opened 10-04 04:59 by pandas-bot· merged 10-04 05:06session 10-04 04:35
0
PERF: accelerate groupsort_indexer, compress_group_index, hashtable get_labels_groupby, and adopt NumPy 2.5.40
#42opened 10-04 04:26 by pandas-bot· merged 10-04 04:32session 10-04 04:00
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PERF: accelerate Index set operations and adopt NumPy 2.5.38
#41opened 10-04 03:45 by pandas-bot· merged 10-04 03:51session 10-04 03:24
0
PERF: accelerate cartesian_product for MultiIndex construction and adopt NumPy 2.5.37
#40opened 10-04 03:15 by pandas-bot· merged 10-04 03:21session 10-04 02:56
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PERF: accelerate groupby cumulative ops, shift, fillna, support read-only buffers, and adopt NumPy 2.5.35
#39opened 10-04 02:31 by pandas-bot· merged 10-04 02:47session 10-04 02:07
0
PERF: accelerate DataFrame groupby aggregations, first/last, fix read-only buffers, and adopt NumPy 2.5.34
#38opened 10-04 01:56 by pandas-bot· merged 10-04 02:03session 10-04 01:17
0
PERF: accelerate groupby aggregations, rolling/expanding skew/kurt, and adopt NumPy 2.5.33
#37opened 10-04 01:04 by pandas-bot· merged 10-04 01:13session 10-04 00:41
0
PERF: accelerate rolling and expanding sum, mean, var, first, last, nunique, and adopt NumPy 2.5.32
#36opened 10-04 00:30 by pandas-bot· merged 10-04 00:37session 10-04 00:10
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PERF: accelerate rolling and expanding min/max, adopt NumPy 2.5.31
#35opened 10-04 00:01 by pandas-bot· merged 10-04 00:07session 10-03 23:37
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PERF: accelerate Series/DataFrame clip, ewm cov/corr, and adopt NumPy 2.5.30
#34opened 10-03 23:22 by pandas-bot· merged 10-03 23:28session 10-03 23:03
0
PERF: accelerate rolling/expanding median, quantile, rank, skiplist, and adopt NumPy 2.5.29
#33opened 10-03 22:53 by pandas-bot· merged 10-03 22:59session 10-03 22:31
0
PERF: accelerate rolling/expanding cov & corr, pairwise matrix assembly, and adopt NumPy 2.5.28
#32opened 10-03 22:22 by pandas-bot· merged 10-03 22:28session 10-03 22:05
0
PERF: accelerate categorical operations, groupby recoding, cov, and adopt NumPy 2.5.27
#31opened 10-03 21:54 by pandas-bot· merged 10-03 22:01session 10-03 21:29
0
PERF: accelerate take, DataFrame.fillna(dict), DataFrame.replace, and adopt NumPy 2.5.26
#30opened 10-03 20:58 by pandas-bot· merged 10-03 21:04session 10-03 20:30
0
PERF: accelerate Block.fillna, hasnans, MultiIndex.isin/unique, algorithms.isin, and adopt NumPy 2.5.25
#29opened 10-03 20:20 by pandas-bot· merged 10-03 20:27session 10-03 20:03
0
PERF: accelerate DataFrame/Series isin, Series.map with dict, and adopt NumPy 2.5.24
#28opened 10-03 19:54 by pandas-bot· merged 10-03 20:00session 10-03 19:34
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PERF: accelerate DataFrame/Series combine_first, Index.get_slice_bound, and adopt NumPy 2.5.23
#27opened 10-03 19:24 by pandas-bot· merged 10-03 19:30session 10-03 19:08
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PERF: accelerate Series/DataFrame clip, Categorical.isin, Series.between, and adopt NumPy 2.5.22
#26opened 10-03 18:53 by pandas-bot· merged 10-03 18:59session 10-03 18:31
0
PERF: accelerate Series/DataFrame where and mask, Block.where, Index.where, and adopt NumPy 2.5.21
#25opened 10-03 18:22 by pandas-bot· merged 10-03 18:28session 10-03 18:09
0
PERF: accelerate datetime floor/ceil/round, groupby cumulative transforms, and adopt NumPy 2.5.20
#24opened 10-03 17:59 by pandas-bot· merged 10-03 18:06session 10-03 17:35
0
PERF: accelerate DataFrame.melt, unstack, get_group_index_sorter, and adopt NumPy 2.5.19
#23opened 10-03 17:26 by pandas-bot· merged 10-03 17:32session 10-03 17:06
1
PERF: accelerate VariableOffsetWindowIndexer, rolling aggregations, groupby axis checks, and adopt NumPy 2.5.18
#22opened 10-03 16:56 by pandas-bot· merged 10-03 17:02session 10-03 16:34
0
PERF: fastpath IntervalIndex lookups, monotonicity/overlap checks, and optimize cut and qcut
#21opened 10-03 15:28 by pandas-bot· merged 10-03 15:34session 10-03 15:07
0
PERF: accelerate to_datetime caching, fix boolean value_counts with non-zero RangeIndex, and adopt NumPy 2.5.16
#20opened 10-03 14:57 by pandas-bot· merged 10-03 15:04session 10-03 14:39
0
PERF: accelerate str.split/rsplit expand, specialize map_infer/map_infer_mask, and adopt NumPy 2.5.14
#18opened 10-03 14:14 by pandas-bot· merged 10-03 14:29session 10-03 13:42
0
PERF: optimize ewm, resample, and groupby operations, and adopt NumPy 2.5.13
#17opened 10-03 13:28 by pandas-bot· merged 10-03 13:34session 10-03 13:08
0
PERF: fastpath Series/DataFrame quantile, optimize rolling window bounds and aggregations, and adopt NumPy 2.5.12
#16opened 10-03 12:59 by pandas-bot· merged 10-03 13:05session 10-03 12:38
0
PERF: optimize reductions via SIMD nan detection and nanvar fast path, accelerate DataFrame binary ops, and adopt NumPy 2.5.10
#15opened 10-03 12:27 by pandas-bot· merged 10-03 12:27session 10-03 12:01
0
PERF: fastpath factorize, DataFrame column slicing, and Arrow take
#14opened 10-03 11:51 by pandas-bot· merged 10-03 11:57session 10-03 11:24
0
PERF: optimize multi-key groupby compression, safe_sort, and fix MultiIndex.nunique
#13opened 10-03 11:11 by pandas-bot· merged 10-03 11:18session 10-03 10:47
0
PERF: fastpath Series/DataFrame concat, Index/Arrow equals, and adopt NumPy 2.5.7
#11opened 10-03 10:38 by pandas-bot· merged 10-03 10:44session 10-03 10:22
0
PERF: fastpath nunique, is_unique, value_counts, duplicated, and isna
#10opened 10-03 10:01 by pandas-bot· merged 10-03 10:07session 10-03 09:38
0
PERF: fastpath equal-index join/merge, take_nd(None/empty), and zero-NA masked take
#9opened 10-03 09:28 by pandas-bot· merged 10-03 09:34session 10-03 08:58
0
PERF: optimize isin, unique for booleans, Index setops, and adopt NumPy 2.5.3
#8opened 10-03 08:44 by pandas-bot· merged 10-03 08:50session 10-03 08:12
0
PERF: optimize get_indexer for monotonic indexes and eliminate redundant reindex in _get_indexer_strict
#6opened 10-03 08:05 by pandas-bot· merged 10-03 08:08session 10-03 07:41
0
PERF: optimize nargsort, nargminmax, and BaseMaskedArray argsort/argmax/argmin
#5opened 10-03 07:30 by pandas-bot· merged 10-03 07:34session 10-03 07:00
0
PERF: optimize equals across BaseMaskedArray, ExtensionArray, and NDFrame
#3opened 10-03 06:51 by pandas-bot· merged 10-03 06:55session 10-03 06:32
0
PERF: avoid O(n) mask scan in BaseMaskedArray.searchsorted
#2opened 10-03 06:23 by pandas-bot· merged 10-03 06:27session 10-03 05:48
0
ci: add Forgejo Actions CI workflow
#1opened 10-03 05:32 by pandas-bot· merged 10-03 05:41session 10-03 05:28
0

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