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pandas-dev / pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
https://pandas.pydata.org
BSD 3-Clause "New" or "Revised" License
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PERF: performance regressions in 1.2.0rc #38591

Closed jorisvandenbossche closed 1 year ago

jorisvandenbossche commented 3 years ago

I did a full benchmark run on a dedicated machine comparing v1.2.0rc0 with v1.1.5.

The top results:

     [b5958ee1]       [7688d3cf]
     <v1.1.5^0>       <v1.2.0rc0^0>
+     4.25±0.05μs          366±9ms 86187.42  index_object.IndexEquals.time_non_object_equals_multiindex
+        50.2±4μs          104±5ms  2075.23  indexing.NumericSeriesIndexing.time_getitem_scalar(<class 'pandas.core.indexes.numeric.Float64Index'>, 'nonunique_monotonic_inc')
+         120±8μs          102±5ms   848.38  indexing.NumericSeriesIndexing.time_loc_scalar(<class 'pandas.core.indexes.numeric.Float64Index'>, 'nonunique_monotonic_inc')
+        268±20μs          103±5ms   383.87  indexing.NumericSeriesIndexing.time_loc_slice(<class 'pandas.core.indexes.numeric.Float64Index'>, 'nonunique_monotonic_inc')
+        289±40μs          111±8ms   382.15  hash_functions.NumericSeriesIndexing.time_loc_slice(<class 'pandas.core.indexes.numeric.Float64Index'>, 1000000)
+        273±20μs          102±5ms   374.69  indexing.NumericSeriesIndexing.time_getitem_slice(<class 'pandas.core.indexes.numeric.Float64Index'>, 'nonunique_monotonic_inc')
+      1.75±0.1ms          103±5ms    58.77  indexing.NumericSeriesIndexing.time_loc_list_like(<class 'pandas.core.indexes.numeric.Float64Index'>, 'nonunique_monotonic_inc')
+      2.11±0.1ms          103±5ms    48.69  indexing.NumericSeriesIndexing.time_getitem_list_like(<class 'pandas.core.indexes.numeric.Float64Index'>, 'nonunique_monotonic_inc')
+      7.38±0.7ms          109±7ms    14.80  hash_functions.NumericSeriesIndexingShuffled.time_loc_slice(<class 'pandas.core.indexes.numeric.Float64Index'>, 1000000)
+      3.66±0.2μs       13.4±0.4μs     3.66  index_cached_properties.IndexCache.time_is_all_dates('Float64Index')
+         336±2ms          1.22±0s     3.65  groupby.TransformEngine.time_series_numba(True)
+         287±2ms          1.02±0s     3.55  groupby.AggEngine.time_series_numba(True)
+         289±2ms          1.02±0s     3.52  groupby.AggEngine.time_dataframe_numba(True)
+      3.64±0.2μs       12.8±0.5μs     3.52  index_cached_properties.IndexCache.time_is_all_dates('IntervalIndex')
+     1.89±0.09μs       6.49±0.1μs     3.44  index_cached_properties.IndexCache.time_is_all_dates('PeriodIndex')
+      3.80±0.2μs       12.7±0.4μs     3.35  index_cached_properties.IndexCache.time_is_all_dates('UInt64Index')
+      3.27±0.1μs       10.9±0.2μs     3.33  index_cached_properties.IndexCache.time_is_all_dates('MultiIndex')
+        728±30ns      2.39±0.06μs     3.28  index_cached_properties.IndexCache.time_is_all_dates('RangeIndex')
+     2.02±0.09μs       6.49±0.1μs     3.21  index_cached_properties.IndexCache.time_is_all_dates('DatetimeIndex')
+        719±30ns      2.27±0.06μs     3.15  index_cached_properties.IndexCache.time_is_all_dates('Int64Index')
+      4.11±0.2μs       12.4±0.3μs     3.02  index_cached_properties.IndexCache.time_is_all_dates('TimedeltaIndex')
+         430±3ms          1.23±0s     2.85  groupby.TransformEngine.time_dataframe_numba(True)
+     7.44±0.08ms         17.1±2ms     2.29  hash_functions.UniqueAndFactorizeArange.time_unique(6)
+        75.3±1ms          172±1ms     2.28  hash_functions.IsinWithArangeSorted.time_isin(<class 'numpy.float64'>, 1000000)
+     7.64±0.04ms         17.1±2ms     2.24  hash_functions.UniqueAndFactorizeArange.time_unique(5)
+     1.62±0.04ms      3.51±0.02ms     2.16  arithmetic.Timeseries.time_series_timestamp_compare(None)
+     1.60±0.03ms      3.45±0.04ms     2.16  arithmetic.Timeseries.time_timestamp_series_compare(None)
+     1.62±0.03ms      3.49±0.09ms     2.16  arithmetic.Timeseries.time_timestamp_series_compare('US/Eastern')
+      10.9±0.7ms         23.2±1ms     2.14  hash_functions.UniqueAndFactorizeArange.time_factorize(6)
+      11.1±0.5ms         23.2±1ms     2.10  hash_functions.UniqueAndFactorizeArange.time_factorize(5)
+     1.63±0.04ms      3.41±0.03ms     2.09  arithmetic.Timeseries.time_series_timestamp_compare('US/Eastern')
+      4.11±0.1ms      8.52±0.09ms     2.08  index_object.SetDisjoint.time_datetime_difference_disjoint
+      74.5±0.3ms          153±1ms     2.05  replace.ReplaceList.time_replace_list_one_match(True)
+       124±0.9ms        248±0.4ms     2.00  gil.ParallelDatetimeFields.time_datetime_to_period

The first, biggest regression in the IndexEquals benchmark is probably already fixed in https://github.com/pandas-dev/pandas/pull/38560

Full results: ``` before after ratio [b5958ee1] [7688d3cf] + 4.25±0.05μs 366±9ms 86187.42 index_object.IndexEquals.time_non_object_equals_multiindex + 50.2±4μs 104±5ms 2075.23 indexing.NumericSeriesIndexing.time_getitem_scalar(, 'nonunique_monotonic_inc') + 120±8μs 102±5ms 848.38 indexing.NumericSeriesIndexing.time_loc_scalar(, 'nonunique_monotonic_inc') + 268±20μs 103±5ms 383.87 indexing.NumericSeriesIndexing.time_loc_slice(, 'nonunique_monotonic_inc') + 289±40μs 111±8ms 382.15 hash_functions.NumericSeriesIndexing.time_loc_slice(, 1000000) + 273±20μs 102±5ms 374.69 indexing.NumericSeriesIndexing.time_getitem_slice(, 'nonunique_monotonic_inc') + 1.75±0.1ms 103±5ms 58.77 indexing.NumericSeriesIndexing.time_loc_list_like(, 'nonunique_monotonic_inc') + 2.11±0.1ms 103±5ms 48.69 indexing.NumericSeriesIndexing.time_getitem_list_like(, 'nonunique_monotonic_inc') + 7.38±0.7ms 109±7ms 14.80 hash_functions.NumericSeriesIndexingShuffled.time_loc_slice(, 1000000) + 3.66±0.2μs 13.4±0.4μs 3.66 index_cached_properties.IndexCache.time_is_all_dates('Float64Index') + 336±2ms 1.22±0s 3.65 groupby.TransformEngine.time_series_numba(True) + 287±2ms 1.02±0s 3.55 groupby.AggEngine.time_series_numba(True) + 289±2ms 1.02±0s 3.52 groupby.AggEngine.time_dataframe_numba(True) + 3.64±0.2μs 12.8±0.5μs 3.52 index_cached_properties.IndexCache.time_is_all_dates('IntervalIndex') + 1.89±0.09μs 6.49±0.1μs 3.44 index_cached_properties.IndexCache.time_is_all_dates('PeriodIndex') + 3.80±0.2μs 12.7±0.4μs 3.35 index_cached_properties.IndexCache.time_is_all_dates('UInt64Index') + 3.27±0.1μs 10.9±0.2μs 3.33 index_cached_properties.IndexCache.time_is_all_dates('MultiIndex') + 728±30ns 2.39±0.06μs 3.28 index_cached_properties.IndexCache.time_is_all_dates('RangeIndex') + 2.02±0.09μs 6.49±0.1μs 3.21 index_cached_properties.IndexCache.time_is_all_dates('DatetimeIndex') + 719±30ns 2.27±0.06μs 3.15 index_cached_properties.IndexCache.time_is_all_dates('Int64Index') + 4.11±0.2μs 12.4±0.3μs 3.02 index_cached_properties.IndexCache.time_is_all_dates('TimedeltaIndex') + 430±3ms 1.23±0s 2.85 groupby.TransformEngine.time_dataframe_numba(True) + 7.44±0.08ms 17.1±2ms 2.29 hash_functions.UniqueAndFactorizeArange.time_unique(6) + 75.3±1ms 172±1ms 2.28 hash_functions.IsinWithArangeSorted.time_isin(, 1000000) + 7.64±0.04ms 17.1±2ms 2.24 hash_functions.UniqueAndFactorizeArange.time_unique(5) + 1.62±0.04ms 3.51±0.02ms 2.16 arithmetic.Timeseries.time_series_timestamp_compare(None) + 1.60±0.03ms 3.45±0.04ms 2.16 arithmetic.Timeseries.time_timestamp_series_compare(None) + 1.62±0.03ms 3.49±0.09ms 2.16 arithmetic.Timeseries.time_timestamp_series_compare('US/Eastern') + 10.9±0.7ms 23.2±1ms 2.14 hash_functions.UniqueAndFactorizeArange.time_factorize(6) + 11.1±0.5ms 23.2±1ms 2.10 hash_functions.UniqueAndFactorizeArange.time_factorize(5) + 1.63±0.04ms 3.41±0.03ms 2.09 arithmetic.Timeseries.time_series_timestamp_compare('US/Eastern') + 4.11±0.1ms 8.52±0.09ms 2.08 index_object.SetDisjoint.time_datetime_difference_disjoint + 74.5±0.3ms 153±1ms 2.05 replace.ReplaceList.time_replace_list_one_match(True) + 124±0.9ms 248±0.4ms 2.00 gil.ParallelDatetimeFields.time_datetime_to_period + 950±30μs 1.83±0.05ms 1.92 reindex.LevelAlign.time_reindex_level + 2.84±0ms 5.46±0.02ms 1.92 tslibs.normalize.Normalize.time_is_date_array_normalized(1000000, datetime.timezone(datetime.timedelta(seconds=3600))) + 283±2ms 535±1ms 1.89 groupby.AggEngine.time_series_numba(False) + 284±2ms 534±2ms 1.88 groupby.AggEngine.time_dataframe_numba(False) + 11.8±0.3ms 21.4±0.4ms 1.81 io.csv.ToCSVDatetime.time_frame_date_formatting + 331±3ms 599±2ms 1.81 groupby.TransformEngine.time_series_numba(False) + 9.45±0.5ms 17.1±2ms 1.81 hash_functions.UniqueAndFactorizeArange.time_unique(4) + 16.8±0.1ms 30.3±0.8ms 1.80 gil.ParallelDatetimeFields.time_datetime_field_normalize + 65.8±2ms 113±2ms 1.71 series_methods.IsInFloat64.time_isin_many_different + 192±20μs 326±20μs 1.70 hash_functions.NumericSeriesIndexing.time_loc_slice(, 500000) + 37.2±0.1μs 62.3±0.09μs 1.68 tslibs.normalize.Normalize.time_is_date_array_normalized(10000, datetime.timezone(datetime.timedelta(seconds=3600))) + 13.9±0.4ms 23.2±1ms 1.67 hash_functions.UniqueAndFactorizeArange.time_factorize(4) + 508±2ms 837±5ms 1.65 stat_ops.FrameMultiIndexOps.time_op([0, 1], 'skew') + 11.7±0.1ms 18.5±0.2ms 1.58 period.PeriodIndexConstructor.time_from_ints('D', False) + 11.8±0.1ms 18.5±0.5ms 1.57 period.PeriodIndexConstructor.time_from_ints('D', True) + 4.24±0.03ms 6.58±0.03ms 1.55 hash_functions.IsinWithArangeSorted.time_isin(, 100000) + 438±1ms 680±2ms 1.55 series_methods.IsInLongSeriesValuesDominate.time_isin('float64', 'monotone') + 94.0±0.2ms 143±0.8ms 1.52 groupby.GroupByMethods.time_dtype_as_field('datetime', 'unique', 'transformation') + 94.2±0.1ms 143±0.5ms 1.52 groupby.GroupByMethods.time_dtype_as_field('datetime', 'unique', 'direct') + 616±3μs 937±8μs 1.52 stat_ops.FrameOps.time_op('sum', 'int', 0) + 21.3±0.8ms 32.4±0.7ms 1.52 hash_functions.IsinAlmostFullWithRandomInt.time_isin_outside(, 19) + 41.1±0.3ms 62.2±20ms 1.51 rolling.Apply.time_rolling('Series', 300, 'int', , False) + 1.87±0.02ms 2.80±0ms 1.49 series_methods.IsIn.time_isin('uint64') + 27.7±0.2μs 41.1±0.1μs 1.48 tslibs.normalize.Normalize.time_is_date_array_normalized(10000, None) + 1.32±0s 1.95±0.01s 1.48 stat_ops.FrameMultiIndexOps.time_op([0, 1], 'mad') + 2.97±0.01ms 4.40±0.7ms 1.48 rolling.VariableWindowMethods.time_rolling('DataFrame', '1h', 'float', 'count') + 2.93±0.02ms 4.32±0.6ms 1.47 rolling.VariableWindowMethods.time_rolling('DataFrame', '1d', 'float', 'count') + 1.46±0ms 2.14±0.04ms 1.47 groupby.FillNA.time_srs_ffill + 1.47±0.01ms 2.14±0.01ms 1.46 groupby.FillNA.time_srs_bfill + 96.7±0.1ms 141±2ms 1.46 rolling.Groupby.time_rolling_int('min') + 28.0±0.2μs 40.8±0.2μs 1.46 tslibs.normalize.Normalize.time_is_date_array_normalized(10000, datetime.timezone.utc) + 2.82±0.01ms 4.11±0.01ms 1.46 tslibs.normalize.Normalize.time_is_date_array_normalized(1000000, None) + 97.4±0.6ms 142±1ms 1.46 rolling.Groupby.time_rolling_int('kurt') + 18.5±0.1ms 27.0±0.2ms 1.46 frame_methods.Iteration.time_items + 2.81±0.1ms 4.09±0.01ms 1.46 tslibs.normalize.Normalize.time_is_date_array_normalized(1000000, datetime.timezone.utc) + 97.5±0.5ms 142±0.9ms 1.45 rolling.Groupby.time_rolling_int('mean') + 97.4±0.9ms 141±1ms 1.45 rolling.Groupby.time_rolling_int('max') + 751±4μs 1.09±0.01ms 1.45 stat_ops.FrameOps.time_op('mean', 'int', 0) + 99.9±0.7ms 144±1ms 1.44 rolling.Groupby.time_rolling_int('median') + 97.0±1ms 140±0.9ms 1.44 rolling.Groupby.time_rolling_int('sum') + 11.9±2ms 17.1±2ms 1.44 hash_functions.UniqueAndFactorizeArange.time_unique(15) + 2.98±0.02ms 4.27±0.7ms 1.43 rolling.VariableWindowMethods.time_rolling('DataFrame', '50s', 'float', 'count') + 9.98±0.4ms 14.3±0.5ms 1.43 hash_functions.IsinAlmostFullWithRandomInt.time_isin_outside(, 18) + 8.77±0.02ms 12.5±0.03ms 1.43 frame_methods.ToString.time_to_string_floats + 4.25±0.03s 6.03±0.01s 1.42 replace.ReplaceDict.time_replace_series(False) + 786±10μs 1.11±0ms 1.41 stat_ops.FrameOps.time_op('prod', 'int', 0) + 122±0.5ms 173±0.8ms 1.41 frame_methods.Iteration.time_iteritems_indexing + 157±0.8ms 221±2ms 1.41 stat_ops.FrameMultiIndexOps.time_op(1, 'mad') + 134±0.8ms 188±20ms 1.41 gil.ParallelGroupbyMethods.time_loop(8, 'count') + 427±1ms 599±1ms 1.40 groupby.TransformEngine.time_dataframe_numba(False) + 284±3ms 398±8ms 1.40 frame_methods.GetDtypeCounts.time_info + 33.5±0.2ms 46.6±5ms 1.39 gil.ParallelGroupbyMethods.time_loop(2, 'count') + 74.5±0.4ms 103±0.9ms 1.38 stat_ops.FrameMultiIndexOps.time_op(1, 'skew') + 60.9±3ms 84.0±3ms 1.38 hash_functions.IsinAlmostFullWithRandomInt.time_isin(, 20) + 6.97±0.05ms 9.60±0.06ms 1.38 groupby.Apply.time_scalar_function_single_col + 223±5ms 304±4ms 1.36 groupby.MultiColumn.time_lambda_sum + 11.7±0.01ms 15.8±0.03ms 1.35 stat_ops.Correlation.time_corr_wide('pearson') + 25.4±0.4μs 34.2±0.2μs 1.35 indexing.NumericSeriesIndexing.time_iloc_slice(, 'nonunique_monotonic_inc') + 12.2±0.06μs 16.4±0.1μs 1.34 categoricals.CategoricalSlicing.time_getitem_slice('monotonic_decr') + 3.98±0.2ms 5.33±0.04ms 1.34 rolling.Methods.time_rolling('DataFrame', 1000, 'float', 'kurt') + 229±10ms 306±10ms 1.34 replace.ReplaceList.time_replace_list_one_match(False) + 26.1±0.4μs 34.9±0.7μs 1.34 indexing.NumericSeriesIndexing.time_iloc_slice(, 'unique_monotonic_inc') + 14.4±0.06ms 19.2±0.7ms 1.33 strings.Cat.time_cat(0, None, None, 0.0) + 122±3ms 162±2ms 1.33 groupby.MultiColumn.time_col_select_lambda_sum + 12.3±0.05μs 16.4±0.3μs 1.33 categoricals.CategoricalSlicing.time_getitem_slice('non_monotonic') + 12.3±0.08μs 16.3±0.3μs 1.32 categoricals.CategoricalSlicing.time_getitem_slice('monotonic_incr') + 25.9±0.4μs 34.3±0.4μs 1.32 indexing.NumericSeriesIndexing.time_iloc_slice(, 'nonunique_monotonic_inc') + 58.0±0.2μs 76.3±1μs 1.32 indexing.NumericSeriesIndexing.time_loc_slice(, 'unique_monotonic_inc') + 67.3±0.3ms 88.6±9ms 1.32 gil.ParallelGroupbyMethods.time_loop(4, 'count') + 2.53±0.03ms 3.33±0.02ms 1.32 categoricals.Indexing.time_sort_values + 26.3±0.4μs 34.6±0.2μs 1.31 indexing.NumericSeriesIndexing.time_iloc_slice(, 'unique_monotonic_inc') + 20.7±0.03ms 27.1±0.03ms 1.31 hash_functions.IsinWithArange.time_isin(, 8000, -2) + 25.9±0.1μs 33.9±0.2μs 1.31 indexing.NumericSeriesIndexing.time_iloc_slice(, 'unique_monotonic_inc') + 2.38±0.02ms 3.12±0.03ms 1.31 groupby.FillNA.time_df_ffill + 4.33±0.01ms 5.66±0.02ms 1.31 hash_functions.IsinWithArange.time_isin(, 1000, -2) + 60.3±0.4μs 78.8±0.8μs 1.31 hash_functions.NumericSeriesIndexing.time_loc_slice(, 100000) + 3.92±0.02ms 5.12±0.2ms 1.31 rolling.ForwardWindowMethods.time_rolling('DataFrame', 1000, 'float', 'kurt') + 90.4±2ms 118±0.7ms 1.30 timeseries.Iteration.time_iter_preexit() + 3.94±0.01ms 5.12±0.02ms 1.30 rolling.ForwardWindowMethods.time_rolling('DataFrame', 10, 'float', 'kurt') + 31.0±0.2μs 40.2±0.2μs 1.30 indexing.NumericSeriesIndexing.time_getitem_slice(, 'nonunique_monotonic_inc') + 3.09±0.3ms 4.00±0.06ms 1.30 rolling.ExpandingMethods.time_expanding('DataFrame', 'float', 'kurt') + 2.42±0.01ms 3.13±0.02ms 1.29 groupby.FillNA.time_df_bfill + 8.73±0.3ms 11.3±0.05ms 1.29 timeseries.ResampleSeries.time_resample('period', '5min', 'ohlc') + 105±1ms 135±0.6ms 1.29 groupby.Groups.time_series_groups('int64_large') + 29.4±0.2ms 37.8±0.2ms 1.29 rolling.Apply.time_rolling('Series', 3, 'int', , False) + 455±1ms 584±0.7ms 1.28 series_methods.IsInLongSeriesValuesDominate.time_isin('float32', 'monotone') + 8.95±0.03ms 11.5±0.1ms 1.28 index_object.IntervalIndexMethod.time_intersection(100000) + 2.60±0.02ms 3.33±0.09ms 1.28 stat_ops.SeriesMultiIndexOps.time_op(1, 'prod') + 3.20±0.02ms 4.10±0.03ms 1.28 rolling.ExpandingMethods.time_expanding('DataFrame', 'int', 'kurt') + 29.9±0.2ms 38.2±0.2ms 1.28 rolling.Apply.time_rolling('Series', 3, 'float', , False) + 29.9±0.3μs 38.2±0.1μs 1.28 indexing.NonNumericSeriesIndexing.time_getitem_pos_slice('string', 'non_monotonic') + 18.3±1ms 23.2±1ms 1.27 hash_functions.UniqueAndFactorizeArange.time_factorize(14) + 30.2±0.6μs 38.4±0.4μs 1.27 indexing.NonNumericSeriesIndexing.time_getitem_pos_slice('string', 'unique_monotonic_inc') + 31.3±0.4μs 39.8±0.3μs 1.27 indexing.NumericSeriesIndexing.time_getitem_slice(, 'unique_monotonic_inc') + 16.1±0.09ms 20.5±0.2ms 1.27 groupby.AggFunctions.time_different_str_functions + 30.3±0.5μs 38.3±0.4μs 1.27 indexing.NonNumericSeriesIndexing.time_getitem_pos_slice('string', 'nonunique_monotonic_inc') + 30.2±0.2ms 38.2±0.4ms 1.27 rolling.Apply.time_rolling('DataFrame', 3, 'float', , False) + 2.62±0.02ms 3.32±0.1ms 1.27 stat_ops.SeriesMultiIndexOps.time_op(1, 'sum') + 3.07±0.02ms 3.89±0.02ms 1.26 rolling.ForwardWindowMethods.time_rolling('DataFrame', 1000, 'int', 'kurt') + 3.90±0.01ms 4.91±0.02ms 1.26 series_methods.IsInDatetime64.time_isin_cat_values + 115±0.5μs 145±1μs 1.26 tslibs.normalize.Normalize.time_is_date_array_normalized(10000, tzfile('/usr/share/zoneinfo/Asia/Tokyo')) + 2.61±0.03ms 3.30±0.1ms 1.26 stat_ops.SeriesMultiIndexOps.time_op(0, 'sum') + 14.6±0.6ms 18.3±1ms 1.26 tslibs.normalize.Normalize.time_is_date_array_normalized(1000000, tzfile('/usr/share/zoneinfo/Asia/Tokyo')) + 21.1±0.04ms 26.4±0.07ms 1.25 hash_functions.IsinWithArange.time_isin(, 8000, 2) + 4.50±0.03μs 5.64±0.05μs 1.25 categoricals.CategoricalSlicing.time_getitem_scalar('non_monotonic') + 16.1±0.08ms 20.2±0.09ms 1.25 groupby.AggFunctions.time_different_numpy_functions + 30.2±0.3ms 37.9±0.1ms 1.25 rolling.Apply.time_rolling('DataFrame', 3, 'int', , False) + 359±0.5ms 450±4ms 1.25 series_methods.IsInLongSeriesLookUpDominates.time_isin('object', 5, 'monotone_misses') + 37.2±0.5μs 46.4±0.4μs 1.25 indexing.NonNumericSeriesIndexing.time_getitem_label_slice('string', 'non_monotonic') + 142±0.4ms 177±0.3ms 1.24 hash_functions.IsinWithArange.time_isin(, 2000, 2) + 21.7±0.1ms 26.9±0.1ms 1.24 hash_functions.IsinWithArange.time_isin(, 8000, -2) + 271±2μs 335±3μs 1.24 reindex.Fillna.time_float_32('backfill') + 6.95±0.04ms 8.58±0.1ms 1.23 stat_ops.Correlation.time_corrwith_cols('pearson') + 48.1±0.4μs 59.3±0.6μs 1.23 frame_methods.GetNumericData.time_frame_get_numeric_data + 45.7±0.2μs 56.4±0.8μs 1.23 hash_functions.NumericSeriesIndexing.time_loc_slice(, 10000) + 6.06±0.4ms 7.47±0.4ms 1.23 stat_ops.FrameMultiIndexOps.time_op([0, 1], 'sum') + 6.22±0.07μs 7.67±0.04μs 1.23 dtypes.Dtypes.time_pandas_dtype('Int8') + 108±0.2ms 133±0.2ms 1.23 hash_functions.IsinWithArange.time_isin(, 2000, -2) + 9.49±0.08μs 11.7±0.1μs 1.23 indexing.CategoricalIndexIndexing.time_getitem_scalar('monotonic_incr') + 4.53±0.04μs 5.57±0.04μs 1.23 categoricals.CategoricalSlicing.time_getitem_scalar('monotonic_decr') + 4.13±0.1ms 5.07±0.2ms 1.23 tslibs.normalize.Normalize.time_normalize_i8_timestamps(1000000, None) + 4.54±0.04μs 5.57±0.03μs 1.23 categoricals.CategoricalSlicing.time_getitem_scalar('monotonic_incr') + 137±1μs 168±2μs 1.23 hash_functions.IsinWithArangeSorted.time_isin(, 1000) + 56.4±0.3μs 68.9±1μs 1.22 indexing.NumericSeriesIndexing.time_iloc_list_like(, 'unique_monotonic_inc') + 1.54±0.02ms 1.88±0.03ms 1.22 reindex.ReindexMethod.time_reindex_method('pad', ) + 3.76±0.2ms 4.59±0.03ms 1.22 rolling.Methods.time_rolling('DataFrame', 1000, 'float', 'skew') + 25.7±0.3ms 31.4±0.4ms 1.22 groupby.ApplyDictReturn.time_groupby_apply_dict_return + 1.19±0.02μs 1.45±0.01μs 1.21 tslibs.normalize.Normalize.time_is_date_array_normalized(100, None) + 56.6±0.6μs 68.8±1μs 1.21 indexing.NumericSeriesIndexing.time_iloc_list_like(, 'nonunique_monotonic_inc') + 62.8±0.1μs 76.0±1μs 1.21 hash_functions.NumericSeriesIndexing.time_loc_slice(, 100000) + 4.14±0.01ms 5.00±0.02ms 1.21 tslibs.normalize.Normalize.time_normalize_i8_timestamps(1000000, datetime.timezone.utc) + 325±20ms 392±10ms 1.21 indexing.NumericSeriesIndexing.time_getitem_lists(, 'unique_monotonic_inc') + 28.4±0.2ms 34.3±0.2ms 1.21 groupby.AggFunctions.time_different_python_functions_multicol + 134±2μs 161±0.9μs 1.21 hash_functions.IsinAlmostFullWithRandomInt.time_isin(, 10) + 58.9±2ms 71.2±3ms 1.21 hash_functions.IsinAlmostFullWithRandomInt.time_isin_outside(, 20) + 5.19±0.04ms 6.27±0.04ms 1.21 hash_functions.IsinAlmostFullWithRandomInt.time_isin_outside(, 17) + 9.55±0.1μs 11.5±0.09μs 1.20 indexing.CategoricalIndexIndexing.time_getitem_scalar('monotonic_decr') + 513±0.7μs 617±3μs 1.20 stat_ops.Correlation.time_corr('pearson') + 891±10μs 1.07±0.01ms 1.20 reindex.ReindexMethod.time_reindex_method('pad', ) + 321±20ms 385±10ms 1.20 indexing.NumericSeriesIndexing.time_loc_list_like(, 'unique_monotonic_inc') + 2.62±0.02ms 3.15±0.07ms 1.20 stat_ops.SeriesMultiIndexOps.time_op(0, 'prod') + 323±20ms 388±10ms 1.20 indexing.NumericSeriesIndexing.time_loc_array(, 'unique_monotonic_inc') + 86.7±0.6ms 104±0.5ms 1.20 frame_methods.ToHTML.time_to_html_mixed + 8.31±0.07ms 9.97±0.05ms 1.20 frame_methods.Apply.time_apply_pass_thru + 44.7±0.3μs 53.6±0.08μs 1.20 tslibs.normalize.Normalize.time_normalize_i8_timestamps(10000, None) + 182±0.4μs 218±2μs 1.20 hash_functions.IsinWithArangeSorted.time_isin(, 2000) + 4.64±0.02ms 5.56±0.05ms 1.20 rolling.VariableWindowMethods.time_rolling('DataFrame', '1h', 'float', 'kurt') + 5.25±0.03ms 6.28±0.1ms 1.20 hash_functions.IsinWithArange.time_isin(, 2000, 0) + 653±2μs 782±4μs 1.20 hash_functions.IsinWithRandomFloat.time_isin(, 8000) + 7.09±0.06μs 8.48±0.03μs 1.20 dtypes.Dtypes.time_pandas_dtype('Int16') + 609±4ms 728±2ms 1.20 frame_methods.Nunique.time_frame_nunique + 324±20ms 387±10ms 1.20 indexing.NumericSeriesIndexing.time_getitem_array(, 'unique_monotonic_inc') + 22.0±0.07ms 26.3±0.04ms 1.20 hash_functions.IsinWithArange.time_isin(, 8000, 2) + 50.4±0.2μs 60.2±0.3μs 1.20 indexing.NonNumericSeriesIndexing.time_getitem_label_slice('string', 'nonunique_monotonic_inc') + 130±2μs 155±0.7μs 1.19 indexing.NonNumericSeriesIndexing.time_getitem_label_slice('datetime', 'unique_monotonic_inc') + 595±2ms 710±1ms 1.19 hash_functions.NumericSeriesIndexing.time_loc_slice(, 5000000) + 44.9±0.08μs 53.5±0.1μs 1.19 tslibs.normalize.Normalize.time_normalize_i8_timestamps(10000, datetime.timezone.utc) + 122±0.9μs 146±3μs 1.19 indexing.NonNumericSeriesIndexing.time_getitem_label_slice('datetime', 'non_monotonic') + 603±5μs 719±4μs 1.19 hash_functions.IsinWithRandomFloat.time_isin(, 7000) + 82.4±0.8μs 98.2±0.3μs 1.19 indexing.DataFrameNumericIndexing.time_iloc + 16.0±0.1ms 19.1±0.05ms 1.19 categoricals.Isin.time_isin_categorical('object') + 90.3±0.6μs 107±2μs 1.19 indexing.NumericSeriesIndexing.time_iloc_array(, 'unique_monotonic_inc') + 196±0.6ms 233±2ms 1.19 groupby.Groups.time_series_groups('object_large') + 47.3±0.2μs 56.2±0.7μs 1.19 hash_functions.NumericSeriesIndexing.time_loc_slice(, 10000) + 9.68±0.07μs 11.5±0.09μs 1.19 indexing.CategoricalIndexIndexing.time_getitem_scalar('non_monotonic') + 1.06±0ms 1.25±0ms 1.19 timeseries.DatetimeIndex.time_unique('repeated') + 4.66±0.02ms 5.52±0.02ms 1.18 rolling.VariableWindowMethods.time_rolling('DataFrame', '50s', 'float', 'kurt') + 4.54±0.03ms 5.38±0.05ms 1.18 rolling.VariableWindowMethods.time_rolling('DataFrame', '1d', 'float', 'kurt') + 2.59±0.01ms 3.07±0.01ms 1.18 series_methods.IsInForObjects.time_isin_long_series_short_values + 5.40±0.02ms 6.39±0.06ms 1.18 hash_functions.IsinWithArange.time_isin(, 8000, 0) + 136±1ms 161±0.5ms 1.18 hash_functions.IsinWithRandomFloat.time_isin(, 900000) + 326±20ms 385±20ms 1.18 indexing.NumericSeriesIndexing.time_getitem_list_like(, 'unique_monotonic_inc') + 66.1±1μs 78.1±0.4μs 1.18 indexing.DataFrameNumericIndexing.time_loc + 3.86±0.2ms 4.55±0.01ms 1.18 rolling.Quantile.time_quantile('DataFrame', 1000, 'float', 0, 'midpoint') + 667±10μs 785±5μs 1.18 groupby.GroupManyLabels.time_sum(1) + 3.38±0.04ms 3.98±0.08ms 1.18 stat_ops.SeriesMultiIndexOps.time_op(1, 'var') + 7.51±0.03μs 8.84±0.2μs 1.18 dtypes.Dtypes.time_pandas_dtype('interval') + 2.88±0.02ms 3.39±0.06ms 1.18 stat_ops.FrameMultiIndexOps.time_op(0, 'sum') + 2.84±0.04ms 3.34±0.05ms 1.18 stat_ops.FrameMultiIndexOps.time_op(0, 'mean') + 26.8±0.1ms 31.5±0.06ms 1.18 hash_functions.IsinWithArange.time_isin(, 2000, -2) + 3.86±0.2ms 4.54±0.02ms 1.18 rolling.Quantile.time_quantile('DataFrame', 1000, 'float', 0, 'lower') + 145±1μs 170±0.8μs 1.18 hash_functions.IsinAlmostFullWithRandomInt.time_isin_outside(, 10) + 9.33±0.05μs 11.0±0.04μs 1.18 dtypes.Dtypes.time_pandas_dtype('UInt8') + 2.89±0.02ms 3.39±0.03ms 1.17 stat_ops.FrameMultiIndexOps.time_op(1, 'prod') + 5.21±0.02ms 6.12±0.01ms 1.17 hash_functions.IsinWithArange.time_isin(, 1000, 0) + 2.24±0.03ms 2.63±0.04ms 1.17 stat_ops.FrameOps.time_op('var', 'int', 0) + 7.86±0.03μs 9.22±0.03μs 1.17 dtypes.Dtypes.time_pandas_dtype('Int32') + 5.03±0.03ms 5.90±0.03ms 1.17 tslibs.normalize.Normalize.time_normalize_i8_timestamps(1000000, datetime.timezone(datetime.timedelta(seconds=3600))) + 26.4±0.03ms 30.9±0.04ms 1.17 hash_functions.IsinWithArange.time_isin(, 2000, 2) + 4.72±0.06ms 5.53±0.06ms 1.17 hash_functions.IsinWithRandomFloat.time_isin_outside(, 80000) + 909±4μs 1.06±0.05ms 1.17 dtypes.SelectDtypes.time_select_dtype_int_include() + 2.86±0.04ms 3.35±0.02ms 1.17 stat_ops.FrameMultiIndexOps.time_op(1, 'mean') + 8.63±0.05μs 10.1±0.5μs 1.17 dtypes.Dtypes.time_pandas_dtype('Int64') + 90.9±0.8μs 106±1μs 1.17 indexing.NumericSeriesIndexing.time_iloc_array(, 'nonunique_monotonic_inc') + 199±0.3ms 232±1ms 1.17 frame_methods.Apply.time_apply_axis_1 + 3.89±0.2ms 4.54±0.01ms 1.17 rolling.Quantile.time_quantile('DataFrame', 1000, 'float', 0, 'nearest') + 76.3±1ms 89.0±0.6ms 1.17 hash_functions.IsinWithRandomFloat.time_isin(, 750000) + 739±5μs 862±2μs 1.17 hash_functions.IsinWithRandomFloat.time_isin_outside(, 8000) + 4.64±0.03ms 5.41±0.03ms 1.17 index_object.Indexing.time_get_loc_non_unique('Float') + 3.39±0.03ms 3.96±0.05ms 1.17 stat_ops.SeriesMultiIndexOps.time_op(0, 'var') + 997±40ns 1.16±0.04μs 1.17 index_cached_properties.IndexCache.time_is_monotonic_increasing('Int64Index') + 3.04±0.02ms 3.55±0.04ms 1.17 stat_ops.FrameMultiIndexOps.time_op(0, 'prod') + 2.94±0.02ms 3.42±0.05ms 1.17 groupby.TransformBools.time_transform_mean + 3.88±0.1ms 4.52±0.02ms 1.16 rolling.Quantile.time_quantile('DataFrame', 1000, 'float', 0, 'higher') + 2.22±0.06ms 2.58±0.02ms 1.16 frame_methods.Lookup.time_frame_fancy_lookup + 11.3±0.04ms 13.1±0.3ms 1.16 index_object.IntervalIndexMethod.time_intersection_one_duplicate(100000) + 1.41±0ms 1.63±0ms 1.16 timeseries.DatetimeIndex.time_normalize('tz_naive') + 81.8±0.2ms 95.0±0.2ms 1.16 series_methods.IsInFloat64.time_isin_nan_values + 3.90±0.2ms 4.53±0.03ms 1.16 rolling.Quantile.time_quantile('DataFrame', 1000, 'float', 1, 'lower') + 3.90±0.2ms 4.53±0.02ms 1.16 rolling.Quantile.time_quantile('DataFrame', 1000, 'float', 1, 'nearest') + 90.6±1μs 105±1μs 1.16 indexing.NumericSeriesIndexing.time_iloc_array(, 'nonunique_monotonic_inc') + 41.0±0.3ms 47.6±0.1ms 1.16 rolling.Apply.time_rolling('Series', 300, 'float', , False) + 3.91±0.2ms 4.53±0.02ms 1.16 rolling.Quantile.time_quantile('DataFrame', 1000, 'float', 1, 'linear') + 95.6±0.2ms 111±0.9ms 1.16 series_methods.IsInLongSeriesLookUpDominates.time_isin('object', 1000, 'random_misses') + 662±3μs 768±2μs 1.16 hash_functions.IsinWithRandomFloat.time_isin_outside(, 7000) + 90.6±1μs 105±2μs 1.16 indexing.NumericSeriesIndexing.time_iloc_array(, 'nonunique_monotonic_inc') + 2.31±0.02ms 2.67±0.03ms 1.16 stat_ops.FrameOps.time_op('std', 'int', 0) + 78.7±0.4ms 91.1±1ms 1.16 period.PeriodIndexConstructor.time_from_ints_daily('D', True) + 3.91±0.1ms 4.53±0.01ms 1.16 rolling.Quantile.time_quantile('DataFrame', 1000, 'float', 1, 'midpoint') + 366±2μs 424±4μs 1.16 groupby.GroupByMethods.time_dtype_as_field('datetime', 'shift', 'direct') + 129±1ms 149±1ms 1.16 hash_functions.IsinWithRandomFloat.time_isin_outside(, 900000) + 894±7ns 1.03±0.02μs 1.16 tslibs.normalize.Normalize.time_is_date_array_normalized(0, None) + 440±5μs 509±3μs 1.16 hash_functions.IsinWithArangeSorted.time_isin(, 8000) + 3.75±0.04ms 4.33±0.04ms 1.16 hash_functions.IsinWithRandomFloat.time_isin_outside(, 70000) + 91.0±0.4μs 105±2μs 1.15 indexing.NumericSeriesIndexing.time_iloc_array(, 'unique_monotonic_inc') + 10.7±0.2ms 12.4±0.4ms 1.15 stat_ops.SeriesMultiIndexOps.time_op([0, 1], 'median') + 40.5±0.8ms 46.7±1ms 1.15 stat_ops.FrameMultiIndexOps.time_op(0, 'mad') + 25.4±0.08ms 29.3±0.09ms 1.15 hash_functions.IsinWithArange.time_isin(, 1000, 2) + 91.4±1μs 105±0.9μs 1.15 indexing.NumericSeriesIndexing.time_iloc_array(, 'unique_monotonic_inc') + 1.42±0.01ms 1.63±0.01ms 1.15 timeseries.DatetimeIndex.time_normalize('repeated') + 177±1μs 204±0.9μs 1.15 hash_functions.IsinAlmostFullWithRandomInt.time_isin(, 11) + 15.8±0.03ms 18.2±0.3ms 1.15 eval.Query.time_query_datetime_index + 10.1±0.04μs 11.6±0.03μs 1.15 dtypes.Dtypes.time_pandas_dtype('UInt16') + 41.6±0.2ms 47.9±0.3ms 1.15 rolling.Apply.time_rolling('DataFrame', 300, 'int', , False) + 6.71±0.3μs 7.72±0.3μs 1.15 index_cached_properties.IndexCache.time_shape('IntervalIndex') + 79.0±0.2ms 90.9±0.9ms 1.15 period.PeriodIndexConstructor.time_from_ints_daily('D', False) + 532±9ns 612±10ns 1.15 multiindex_object.Integer.time_is_monotonic + 141±3μs 162±0.4μs 1.15 indexing.NonNumericSeriesIndexing.time_getitem_label_slice('datetime', 'nonunique_monotonic_inc') + 481±0.9ms 554±4ms 1.15 frame_methods.Iteration.time_iterrows + 27.4±0.3μs 31.5±0.8μs 1.15 indexing.CategoricalIndexIndexing.time_getitem_slice('monotonic_decr') + 3.72±0.01ms 4.28±0.01ms 1.15 series_methods.IsInDatetime64.time_isin + 1.74±0ms 2.00±0.01ms 1.15 timeseries.DatetimeAccessor.time_dt_accessor_normalize(tzutc()) + 453±3μs 520±2μs 1.15 reindex.DropDuplicates.time_series_drop_dups_int(False) + 31.8±0.6ms 36.5±0.8ms 1.15 hash_functions.IsinAlmostFullWithRandomInt.time_isin(, 19) + 2.94±0.04ms 3.38±0.02ms 1.15 stat_ops.FrameMultiIndexOps.time_op(1, 'sum') + 409±2μs 469±3μs 1.15 reindex.DropDuplicates.time_series_drop_dups_string(True) + 5.21±0.03ms 5.97±0.3ms 1.15 stat_ops.SeriesMultiIndexOps.time_op(1, 'median') + 3.94±0.2ms 4.52±0.02ms 1.15 rolling.Quantile.time_quantile('DataFrame', 1000, 'float', 0, 'linear') + 895±10ns 1.03±0.01μs 1.15 tslibs.normalize.Normalize.time_is_date_array_normalized(1, None) + 27.6±0.3μs 31.6±0.5μs 1.15 indexing.CategoricalIndexIndexing.time_getitem_slice('monotonic_incr') + 47.7±0.4ms 54.7±0.7ms 1.15 gil.ParallelGroupbyMethods.time_parallel(4, 'max') + 73.3±0.4μs 84.0±0.9μs 1.15 hash_functions.NumericSeriesIndexingShuffled.time_loc_slice(, 10000) + 154±1μs 177±2μs 1.15 groupby.GroupByMethods.time_dtype_as_group('int', 'size', 'direct') + 258±0.4μs 295±1μs 1.14 hash_functions.IsinWithRandomFloat.time_isin(, 2000) + 369±2μs 422±4μs 1.14 groupby.GroupByMethods.time_dtype_as_field('datetime', 'shift', 'transformation') + 1.72±0ms 1.96±0.02ms 1.14 timeseries.DatetimeAccessor.time_dt_accessor_normalize(None) + 1.78±0.02ms 2.04±0.01ms 1.14 series_methods.IsIn.time_isin('int64') + 3.42±0.03ms 3.91±0.1ms 1.14 stat_ops.SeriesMultiIndexOps.time_op(0, 'std') + 74.6±0.7μs 85.2±0.4μs 1.14 hash_functions.NumericSeriesIndexingShuffled.time_loc_slice(, 10000) + 41.7±0.2ms 47.6±0.2ms 1.14 rolling.Apply.time_rolling('DataFrame', 300, 'float', , False) + 54.2±0.4μs 61.8±0.4μs 1.14 inference.ToNumeric.time_from_float('coerce') + 15.2±0.2ms 17.3±0.2ms 1.14 eval.Query.time_query_datetime_column + 279±2μs 318±0.8μs 1.14 hash_functions.IsinWithRandomFloat.time_isin_outside(, 2000) + 54.2±0.9μs 61.8±0.5μs 1.14 inference.ToNumeric.time_from_float('ignore') + 3.23±0.02ms 3.69±0.02ms 1.14 hash_functions.IsinWithRandomFloat.time_isin(, 70000) + 2.16±0.01μs 2.46±0.06μs 1.14 attrs_caching.SeriesArrayAttribute.time_array('object') + 1.74±0.01ms 1.98±0.01ms 1.14 timeseries.DatetimeAccessor.time_dt_accessor_normalize('UTC') + 2.16±0.02μs 2.45±0.05μs 1.14 attrs_caching.SeriesArrayAttribute.time_array('numeric') + 441±3μs 501±4μs 1.14 strings.Encode.time_encode_decode + 2.70±0.01ms 3.07±0.01ms 1.14 hash_functions.IsinAlmostFullWithRandomInt.time_isin_outside(, 16) + 26.7±0.2ms 30.3±0.3ms 1.14 groupby.Groups.time_series_groups('int64_small') + 63.0±0.2μs 71.5±0.3μs 1.13 tslibs.normalize.Normalize.time_normalize_i8_timestamps(10000, datetime.timezone(datetime.timedelta(seconds=3600))) + 252±2μs 286±3μs 1.13 arithmetic.NumericInferOps.time_subtract() + 254±2μs 288±2μs 1.13 hash_functions.IsinAlmostFullWithRandomInt.time_isin(, 12) + 214±0.7ms 242±0.4ms 1.13 series_methods.IsInLongSeriesLookUpDominates.time_isin('object', 1000, 'monotone_hits') + 74.6±1ms 84.6±0.6ms 1.13 hash_functions.IsinWithRandomFloat.time_isin_outside(, 750000) + 27.6±0.3μs 31.3±0.5μs 1.13 indexing.CategoricalIndexIndexing.time_getitem_slice('non_monotonic') + 323±2μs 366±2μs 1.13 index_object.IntervalIndexMethod.time_intersection(1000) + 152±1μs 173±1μs 1.13 groupby.GroupByMethods.time_dtype_as_field('datetime', 'size', 'transformation') + 27.4±0.03ms 31.0±0.06ms 1.13 hash_functions.IsinWithArange.time_isin(, 8000, 2) + 14.3±0.2μs 16.2±0.1μs 1.13 indexing.NonNumericSeriesIndexing.time_getitem_scalar('datetime', 'non_monotonic') + 65.5±0.7μs 74.1±0.3μs 1.13 indexing.NumericSeriesIndexing.time_getitem_slice(, 'unique_monotonic_inc') + 79.4±0.09ms 89.9±0.2ms 1.13 hash_functions.IsinWithArange.time_isin(, 1000, -2) + 4.01±0.2ms 4.53±0.02ms 1.13 rolling.Quantile.time_quantile('DataFrame', 1000, 'float', 1, 'higher') + 127±0.1ms 144±0.3ms 1.13 series_methods.IsInLongSeriesLookUpDominates.time_isin('object', 5, 'monotone_hits') + 915±5μs 1.03±0.01ms 1.13 dtypes.SelectDtypes.time_select_dtype_string_include('Int8') + 21.6±0.4μs 24.4±0.08μs 1.13 indexing.NonNumericSeriesIndexing.time_getitem_scalar('datetime', 'nonunique_monotonic_inc') + 64.5±0.4μs 72.9±0.4μs 1.13 indexing.NumericSeriesIndexing.time_loc_slice(, 'unique_monotonic_inc') + 4.15±0.04ms 4.69±0.06ms 1.13 hash_functions.IsinWithRandomFloat.time_isin(, 80000) + 907±4μs 1.02±0.01ms 1.13 dtypes.SelectDtypes.time_select_dtype_string_include() + 534±1μs 603±7μs 1.13 frame_methods.Iteration.time_itertuples_raw_start + 156±0.9ms 176±1ms 1.13 series_methods.IsInLongSeriesLookUpDominates.time_isin('object', 5, 'random_hits') + 81.4±1ms 92.0±0.7ms 1.13 arithmetic.BinaryOpsMultiIndex.time_binary_op_multiindex('add') + 535±5μs 604±6μs 1.13 frame_methods.Iteration.time_itertuples_raw_read_first + 943±7μs 1.06±0.02ms 1.13 dtypes.SelectDtypes.time_select_dtype_string_include('m8[ns]') + 154±1μs 174±0.8μs 1.13 groupby.GroupByMethods.time_dtype_as_group('int', 'size', 'transformation') + 152±0.8μs 172±1μs 1.13 groupby.GroupByMethods.time_dtype_as_group('object', 'size', 'transformation') + 27.8±0.2ms 31.3±0.05ms 1.13 hash_functions.IsinWithArange.time_isin(, 2000, -2) + 121±2μs 136±2μs 1.13 hash_functions.IsinAlmostFullWithRandomInt.time_isin(, 10) + 939±4μs 1.06±0.01ms 1.13 dtypes.SelectDtypes.time_select_dtype_int_include('int8') + 153±1μs 172±2μs 1.13 groupby.GroupByMethods.time_dtype_as_field('datetime', 'size', 'direct') + 11.0±0.06μs 12.4±0.07μs 1.13 dtypes.Dtypes.time_pandas_dtype('UInt32') + 1.00±0.01ms 1.13±0.01ms 1.13 dtypes.SelectDtypes.time_select_dtype_int_exclude('Int64') + 920±4μs 1.04±0.01ms 1.13 dtypes.SelectDtypes.time_select_dtype_string_include('Int64') + 924±3μs 1.04±0.01ms 1.13 dtypes.SelectDtypes.time_select_dtype_int_include('Int32') + 946±10μs 1.06±0.01ms 1.12 dtypes.SelectDtypes.time_select_dtype_float_include('float32') + 152±1μs 171±2μs 1.12 groupby.GroupByMethods.time_dtype_as_field('int', 'size', 'transformation') + 987±3μs 1.11±0ms 1.12 dtypes.SelectDtypes.time_select_dtype_int_exclude() + 205±0.6μs 230±0.9μs 1.12 tslibs.normalize.Normalize.time_is_date_array_normalized(10000, ) + 938±5μs 1.05±0.02ms 1.12 dtypes.SelectDtypes.time_select_dtype_string_include('bool') + 79.2±0.4μs 89.0±0.6μs 1.12 hash_functions.NumericSeriesIndexing.time_loc_slice(, 10000) + 1.00±0.01ms 1.13±0.01ms 1.12 frame_methods.SelectDtypes.time_select_dtypes(1000) + 938±8μs 1.05±0ms 1.12 dtypes.SelectDtypes.time_select_dtype_string_include('int32') + 903±3μs 1.01±0ms 1.12 dtypes.SelectDtypes.time_select_dtype_int_include() + 944±4μs 1.06±0.01ms 1.12 dtypes.SelectDtypes.time_select_dtype_int_include('uint64') + 936±5μs 1.05±0ms 1.12 dtypes.SelectDtypes.time_select_dtype_int_include('complex64') + 938±5μs 1.05±0.01ms 1.12 dtypes.SelectDtypes.time_select_dtype_bool_include('uint16') + 44.9±0.5μs 50.4±0.1μs 1.12 arithmetic.Ops2.time_series_dot + 935±1μs 1.05±0.01ms 1.12 dtypes.SelectDtypes.time_select_dtype_bool_include('M8[ns]') + 917±2μs 1.03±0.02ms 1.12 dtypes.SelectDtypes.time_select_dtype_int_include('Int16') + 937±5μs 1.05±0.01ms 1.12 dtypes.SelectDtypes.time_select_dtype_string_include('float64') + 158±0.9μs 177±0.9μs 1.12 groupby.GroupByMethods.time_dtype_as_group('float', 'size', 'transformation') + 14.8±0.08μs 16.6±0.1μs 1.12 dtypes.Dtypes.time_pandas_dtype('float32') + 3.71±0.02ms 4.16±0.04ms 1.12 hash_functions.IsinWithArangeSorted.time_isin(, 100000) + 152±2μs 171±0.9μs 1.12 groupby.GroupByMethods.time_dtype_as_group('object', 'size', 'direct') + 226±7ms 254±5ms 1.12 indexing.NumericSeriesIndexing.time_loc_array(, 'nonunique_monotonic_inc') + 941±1μs 1.05±0ms 1.12 dtypes.SelectDtypes.time_select_dtype_int_include('uint8') + 11.7±0.06μs 13.1±0.03μs 1.12 dtypes.Dtypes.time_pandas_dtype('UInt64') + 930±6μs 1.04±0.01ms 1.12 dtypes.SelectDtypes.time_select_dtype_float_include('UInt16') + 922±4μs 1.03±0ms 1.12 dtypes.SelectDtypes.time_select_dtype_bool_include('UInt8') + 152±1μs 171±0.9μs 1.12 groupby.GroupByMethods.time_dtype_as_field('object', 'size', 'transformation') + 913±6μs 1.02±0.01ms 1.12 dtypes.SelectDtypes.time_select_dtype_float_include() + 3.76±0.05ms 4.21±0.05ms 1.12 stat_ops.FrameMultiIndexOps.time_op(1, 'var') + 5.85±0.02ms 6.55±0.01ms 1.12 frame_methods.Repr.time_html_repr_trunc_si + 923±6μs 1.03±0.01ms 1.12 dtypes.SelectDtypes.time_select_dtype_int_include('UInt16') + 944±9μs 1.06±0.02ms 1.12 dtypes.SelectDtypes.time_select_dtype_string_include('timedelta64[ns]') + 1.61±0.02ms 1.81±0.02ms 1.12 reindex.ReindexMethod.time_reindex_method('backfill', ) + 927±2μs 1.04±0.01ms 1.12 dtypes.SelectDtypes.time_select_dtype_float_include('UInt32') + 880±8μs 984±9μs 1.12 groupby.GroupByMethods.time_dtype_as_group('float', 'sem', 'direct') + 24.3±0.4ms 27.2±0.8ms 1.12 timeseries.ToDatetimeFormat.time_no_exact + 939±4μs 1.05±0.01ms 1.12 dtypes.SelectDtypes.time_select_dtype_string_include('uint16') + 27.4±0.1ms 30.7±0.07ms 1.12 hash_functions.IsinWithArange.time_isin(, 2000, 2) + 937±0.6μs 1.05±0ms 1.12 dtypes.SelectDtypes.time_select_dtype_float_include('m8[ns]') + 112±3ms 125±0.9ms 1.12 io.json.ToJSON.time_to_json('split', 'df_date_idx') + 937±2μs 1.05±0.01ms 1.12 dtypes.SelectDtypes.time_select_dtype_bool_include('float64') + 109±1ms 122±2ms 1.12 io.json.ToJSON.time_to_json('records', 'df') + 3.26±0.01ms 3.65±0.02ms 1.12 rolling.ExpandingMethods.time_expanding('DataFrame', 'int', 'skew') + 25.6±0.06ms 28.6±0.2ms 1.12 groupby.Apply.time_scalar_function_multi_col + 90.7±2ms 101±3ms 1.12 gil.ParallelGroupbyMethods.time_parallel(8, 'min') + 905±3μs 1.01±0.01ms 1.12 dtypes.SelectDtypes.time_select_dtype_bool_include() + 1.02±0ms 1.14±0ms 1.12 dtypes.SelectDtypes.time_select_dtype_int_exclude('int64') + 943±4μs 1.05±0ms 1.12 dtypes.SelectDtypes.time_select_dtype_float_include('uint32') + 4.68±0.04ms 5.22±0.07ms 1.12 stat_ops.SeriesMultiIndexOps.time_op(1, 'sem') + 952±6μs 1.06±0.02ms 1.12 dtypes.SelectDtypes.time_select_dtype_bool_include('timedelta64[ns]') + 932±4μs 1.04±0.01ms 1.12 dtypes.SelectDtypes.time_select_dtype_string_include('UInt32') + 937±3μs 1.04±0.01ms 1.12 dtypes.SelectDtypes.time_select_dtype_string_include('uint8') + 907±3μs 1.01±0.01ms 1.12 dtypes.SelectDtypes.time_select_dtype_bool_include() + 922±1μs 1.03±0.01ms 1.12 dtypes.SelectDtypes.time_select_dtype_bool_include('Int8') + 87.0±0.7μs 97.0±0.4μs 1.11 indexing.NonNumericSeriesIndexing.time_getitem_pos_slice('datetime', 'unique_monotonic_inc') + 938±2μs 1.05±0.01ms 1.11 dtypes.SelectDtypes.time_select_dtype_bool_include('int8') + 3.74±0.05ms 4.17±0.02ms 1.11 stat_ops.FrameMultiIndexOps.time_op(0, 'var') + 948±3μs 1.06±0ms 1.11 dtypes.SelectDtypes.time_select_dtype_int_include('complex128') + 2.47±0.01ms 2.76±0.09ms 1.11 io.csv.ReadCSVFloatPrecision.time_read_csv(',', '_', None) + 14.8±0.05μs 16.5±0.2μs 1.11 dtypes.Dtypes.time_pandas_dtype('int8') + 991±4μs 1.10±0.01ms 1.11 dtypes.SelectDtypes.time_select_dtype_bool_exclude() + 945±8μs 1.05±0.01ms 1.11 dtypes.SelectDtypes.time_select_dtype_bool_include('complex64') + 945±7μs 1.05±0.01ms 1.11 dtypes.SelectDtypes.time_select_dtype_float_include('datetime64[ns]') + 911±5μs 1.01±0ms 1.11 dtypes.SelectDtypes.time_select_dtype_string_include() + 944±9μs 1.05±0.01ms 1.11 dtypes.SelectDtypes.time_select_dtype_bool_include('float32') + 846±6μs 941±3μs 1.11 groupby.GroupByMethods.time_dtype_as_field('float', 'sem', 'direct') + 46.8±0.6ms 52.0±0.2ms 1.11 gil.ParallelGroupbyMethods.time_parallel(4, 'sum') + 945±7μs 1.05±0.01ms 1.11 dtypes.SelectDtypes.time_select_dtype_float_include('timedelta64[ns]') + 82.5±3ms 91.7±1ms 1.11 arithmetic.BinaryOpsMultiIndex.time_binary_op_multiindex('div') + 943±5μs 1.05±0.01ms 1.11 dtypes.SelectDtypes.time_select_dtype_bool_include('int16') + 992±10μs 1.10±0ms 1.11 dtypes.SelectDtypes.time_select_dtype_float_exclude() + 1.95±0.02ms 2.17±0.01ms 1.11 groupby.Datelike.time_sum('date_range') + 929±3μs 1.03±0ms 1.11 dtypes.SelectDtypes.time_select_dtype_string_include('UInt64') + 2.92±0.02ms 3.24±0.02ms 1.11 reindex.DropDuplicates.time_frame_drop_dups_bool(False) + 940±7μs 1.04±0.01ms 1.11 dtypes.SelectDtypes.time_select_dtype_string_include('datetime64[ns]') + 943±10μs 1.05±0ms 1.11 dtypes.SelectDtypes.time_select_dtype_int_include('int16') + 942±3μs 1.05±0ms 1.11 dtypes.SelectDtypes.time_select_dtype_bool_include('uint8') + 931±5μs 1.03±0.02ms 1.11 dtypes.SelectDtypes.time_select_dtype_bool_include('UInt32') + 909±5μs 1.01±0.01ms 1.11 dtypes.SelectDtypes.time_select_dtype_string_include() + 525±3μs 583±5μs 1.11 groupby.GroupByMethods.time_dtype_as_field('datetime', 'ffill', 'direct') + 3.44±0.02ms 3.82±0.09ms 1.11 stat_ops.SeriesMultiIndexOps.time_op(1, 'std') + 10.1±0.4ms 11.3±0.2ms 1.11 stat_ops.SeriesMultiIndexOps.time_op([0, 1], 'sem') + 68.4±0.3ms 76.0±0.5ms 1.11 groupby.GroupByMethods.time_dtype_as_field('int', 'unique', 'direct') + 909±9μs 1.01±0ms 1.11 dtypes.SelectDtypes.time_select_dtype_float_include() + 938±6μs 1.04±0.01ms 1.11 dtypes.SelectDtypes.time_select_dtype_bool_include('int64') + 926±6μs 1.03±0.02ms 1.11 dtypes.SelectDtypes.time_select_dtype_float_include('Int8') + 1.09±0.04μs 1.21±0.08μs 1.11 index_cached_properties.IndexCache.time_is_monotonic_increasing('RangeIndex') + 945±6μs 1.05±0.01ms 1.11 dtypes.SelectDtypes.time_select_dtype_string_include('uint64') + 943±2μs 1.05±0.01ms 1.11 dtypes.SelectDtypes.time_select_dtype_float_include('uint64') + 945±8μs 1.05±0.01ms 1.11 dtypes.SelectDtypes.time_select_dtype_string_include('int16') + 76.7±0.2μs 85.1±0.3μs 1.11 hash_functions.NumericSeriesIndexingShuffled.time_loc_slice(, 10000) + 252±4μs 280±2μs 1.11 arithmetic.NumericInferOps.time_subtract() + 3.58±0.04ms 3.97±0.05ms 1.11 io.csv.ReadCSVFloatPrecision.time_read_csv(',', '.', 'round_trip') + 909±4μs 1.01±0ms 1.11 dtypes.SelectDtypes.time_select_dtype_float_include() + 4.35±0.02ms 4.83±0.03ms 1.11 rolling.VariableWindowMethods.time_rolling('DataFrame', '50s', 'float', 'skew') + 948±10μs 1.05±0ms 1.11 dtypes.SelectDtypes.time_select_dtype_string_include('complex128') + 1.02±0ms 1.14±0.01ms 1.11 dtypes.SelectDtypes.time_select_dtype_float_exclude('float64') + 69.2±0.7μs 76.7±1μs 1.11 ctors.SeriesConstructors.time_series_constructor(, False, 'float') + 677±0.6μs 751±3μs 1.11 groupby.GroupByMethods.time_dtype_as_group('object', 'unique', 'transformation') + 932±0.9μs 1.03±0ms 1.11 dtypes.SelectDtypes.time_select_dtype_string_include('UInt16') + 868±3μs 963±9μs 1.11 groupby.GroupByMethods.time_dtype_as_group('int', 'sem', 'transformation') + 850±5μs 943±9μs 1.11 groupby.GroupByMethods.time_dtype_as_field('int', 'sem', 'direct') + 86.0±0.3μs 95.3±1μs 1.11 frame_methods.XS.time_frame_xs(0) + 3.73±0.02ms 4.13±0.04ms 1.11 series_methods.IsInForObjects.time_isin_long_series_long_values + 14.9±0.06μs 16.5±0.1μs 1.11 dtypes.Dtypes.time_pandas_dtype('int64') + 926±6μs 1.03±0ms 1.11 dtypes.SelectDtypes.time_select_dtype_float_include('Int64') + 880±7μs 975±5μs 1.11 groupby.GroupByMethods.time_dtype_as_group('float', 'sem', 'transformation') + 526±5μs 583±5μs 1.11 groupby.GroupByMethods.time_dtype_as_field('datetime', 'bfill', 'transformation') + 6.01±0.1μs 6.66±0.1μs 1.11 index_object.Indexing.time_get_loc('Int') + 926±7μs 1.02±0ms 1.11 dtypes.SelectDtypes.time_select_dtype_string_include('Int16') + 926±3μs 1.02±0.01ms 1.11 dtypes.SelectDtypes.time_select_dtype_int_include('Int8') + 14.9±0.07μs 16.5±0.2μs 1.11 dtypes.Dtypes.time_pandas_dtype('int16') + 952±6μs 1.05±0.03ms 1.11 dtypes.SelectDtypes.time_select_dtype_float_include('uint16') + 909±3μs 1.01±0ms 1.11 dtypes.SelectDtypes.time_select_dtype_int_include() + 46.2±1ms 51.1±0.4ms 1.11 gil.ParallelGroupbyMethods.time_parallel(4, 'last') + 87.1±1μs 96.4±2μs 1.11 ctors.SeriesConstructors.time_series_constructor(, True, 'float') + 14.9±0.05μs 16.5±0.04μs 1.11 dtypes.Dtypes.time_pandas_dtype('float64') + 939±6μs 1.04±0ms 1.11 dtypes.SelectDtypes.time_select_dtype_int_include('uint32') + 290±2μs 321±2μs 1.11 hash_functions.IsinAlmostFullWithRandomInt.time_isin_outside(, 12) + 109±2ms 121±1ms 1.11 io.json.ToJSON.time_to_json('records', 'df_date_idx') + 25.8±0.1ms 28.5±0.09ms 1.11 hash_functions.IsinWithArange.time_isin(, 1000, 0) + 14.9±0.07μs 16.5±0.09μs 1.11 dtypes.Dtypes.time_pandas_dtype('uint32') + 738±2ms 817±2ms 1.11 groupby.GroupByMethods.time_dtype_as_group('int', 'mad', 'direct') + 87.9±0.5μs 97.2±0.6μs 1.11 indexing.NonNumericSeriesIndexing.time_getitem_pos_slice('datetime', 'nonunique_monotonic_inc') + 14.9±0.06μs 16.5±0.06μs 1.11 dtypes.Dtypes.time_pandas_dtype('uint8') + 932±2μs 1.03±0.01ms 1.11 dtypes.SelectDtypes.time_select_dtype_string_include('Int32') + 167±1μs 185±2μs 1.11 groupby.GroupByMethods.time_dtype_as_field('datetime', 'count', 'transformation') + 9.24±0.07ms 10.2±0.04ms 1.11 frame_methods.Repr.time_html_repr_trunc_mi + 191±0.5ms 211±2ms 1.11 io.style.RenderApply.time_render(24, 120) + 159±1μs 176±1μs 1.11 groupby.GroupByMethods.time_dtype_as_group('float', 'size', 'direct') + 945±10μs 1.04±0.01ms 1.11 dtypes.SelectDtypes.time_select_dtype_float_include('bool') + 15.0±0.03μs 16.6±0.04μs 1.11 dtypes.Dtypes.time_pandas_dtype('datetime64') + 936±10μs 1.03±0.01ms 1.10 dtypes.SelectDtypes.time_select_dtype_float_include('UInt8') + 940±6μs 1.04±0.01ms 1.10 dtypes.SelectDtypes.time_select_dtype_string_include('M8[ns]') + 867±3μs 958±4μs 1.10 groupby.GroupByMethods.time_dtype_as_group('int', 'sem', 'direct') + 932±7μs 1.03±0.01ms 1.10 dtypes.SelectDtypes.time_select_dtype_bool_include('UInt64') + 944±5μs 1.04±0.01ms 1.10 dtypes.SelectDtypes.time_select_dtype_int_include('M8[ns]') + 228±5ms 252±7ms 1.10 indexing.NumericSeriesIndexing.time_getitem_array(, 'nonunique_monotonic_inc') + 155±0.8μs 171±0.7μs 1.10 groupby.GroupByMethods.time_dtype_as_field('object', 'size', 'direct') + 1.15±0s 1.27±0s 1.10 groupby.GroupByMethods.time_dtype_as_group('float', 'mad', 'transformation') + 150±0.3μs 166±1μs 1.10 hash_functions.IsinWithArangeSorted.time_isin(, 2000) + 852±10μs 940±4μs 1.10 groupby.GroupByMethods.time_dtype_as_field('float', 'sem', 'transformation') + 933±9μs 1.03±0ms 1.10 dtypes.SelectDtypes.time_select_dtype_bool_include('UInt16') + 954±3μs 1.05±0ms 1.10 dtypes.SelectDtypes.time_select_dtype_bool_include('m8[ns]') + 1.03±0.01ms 1.13±0ms 1.10 dtypes.SelectDtypes.time_select_dtype_bool_exclude('bool') + 128±2μs 141±2μs 1.10 hash_functions.IsinAlmostFullWithRandomInt.time_isin_outside(, 10) + 2.92±0.03ms 3.22±0.1ms 1.10 stat_ops.SeriesMultiIndexOps.time_op(1, 'mean') + 928±2μs 1.02±0ms 1.10 dtypes.SelectDtypes.time_select_dtype_float_include('Int16') + 412±3μs 454±2μs 1.10 hash_functions.IsinAlmostFullWithRandomInt.time_isin(, 14) + 1.20±0.02μs 1.32±0.01μs 1.10 tslibs.normalize.Normalize.time_is_date_array_normalized(100, datetime.timezone.utc) + 3.16±0.08μs 3.48±0.1μs 1.10 attrs_caching.SeriesArrayAttribute.time_extract_array('object') + 265±2μs 292±2μs 1.10 arithmetic.NumericInferOps.time_multiply() + 947±4μs 1.04±0ms 1.10 dtypes.SelectDtypes.time_select_dtype_string_include('uint32') + 26.4±0.2ms 29.1±0.05ms 1.10 hash_functions.IsinWithArange.time_isin(, 1000, 2) + 88.3±0.6μs 97.4±0.5μs 1.10 indexing.NonNumericSeriesIndexing.time_getitem_pos_slice('datetime', 'non_monotonic') + 720±4μs 794±4μs 1.10 hash_functions.IsinAlmostFullWithRandomInt.time_isin(, 15) + 259±3μs 285±2μs 1.10 arithmetic.NumericInferOps.time_add() + 1.87±0.1μs 2.06±0.09μs 1.10 index_cached_properties.IndexCache.time_inferred_type('PeriodIndex') + 191±1μs 211±0.7μs 1.10 hash_functions.IsinWithRandomFloat.time_isin_outside(, 1300) + 100±2ms 110±1ms 1.10 io.json.ToJSON.time_to_json('values', 'df_date_idx') + 952±10μs 1.05±0.01ms 1.10 dtypes.SelectDtypes.time_select_dtype_int_include('datetime64[ns]') + 2.46±0.01ms 2.71±0.01ms 1.10 reindex.DropDuplicates.time_frame_drop_dups_bool(True) + 952±10μs 1.05±0.01ms 1.10 dtypes.SelectDtypes.time_select_dtype_int_include('bool') + 948±8μs 1.04±0ms 1.10 dtypes.SelectDtypes.time_select_dtype_int_include('m8[ns]') + 948±9μs 1.04±0.01ms 1.10 dtypes.SelectDtypes.time_select_dtype_float_include('int8') + 528±8μs 581±2μs 1.10 groupby.GroupByMethods.time_dtype_as_field('datetime', 'ffill', 'transformation') + 14.9±0.1μs 16.4±0.04μs 1.10 dtypes.Dtypes.time_pandas_dtype('int32') + 4.33±0.01ms 4.76±0.01ms 1.10 rolling.VariableWindowMethods.time_rolling('DataFrame', '1h', 'float', 'skew') + 942±8μs 1.04±0.01ms 1.10 dtypes.SelectDtypes.time_select_dtype_int_include('uint16') + 503±0.4ms 554±1ms 1.10 groupby.GroupByMethods.time_dtype_as_field('int', 'mad', 'direct') + 503±0.9ms 553±0.9ms 1.10 groupby.GroupByMethods.time_dtype_as_field('int', 'mad', 'transformation') + 918±3μs 1.01±0.01ms 1.10 dtypes.SelectDtypes.time_select_dtype_string_include() + 927±4μs 1.02±0ms 1.10 dtypes.SelectDtypes.time_select_dtype_bool_include('Int64') + 20.5±0.2μs 22.5±0.2μs 1.10 indexing.NonNumericSeriesIndexing.time_getitem_scalar('datetime', 'unique_monotonic_inc') + 832±10μs 915±20μs 1.10 series_methods.Clip.time_clip(50) + 279±1ms 307±0.8ms 1.10 io.style.RenderApply.time_render(36, 120) + 101±0.2ms 111±1ms 1.10 groupby.GroupByMethods.time_dtype_as_group('int', 'unique', 'direct') + 104±0.7ms 115±0.8ms 1.10 hash_functions.IsinWithArange.time_isin(, 8000, -2) + 171±0.9μs 188±2μs 1.10 hash_functions.NumericSeriesIndexingShuffled.time_loc_slice(, 100000) + 1.16±0.01s 1.27±0s 1.10 groupby.GroupByMethods.time_dtype_as_group('float', 'mad', 'direct') + 929±4μs 1.02±0ms 1.10 dtypes.SelectDtypes.time_select_dtype_string_include('UInt8') + 264±0.9μs 290±1μs 1.10 hash_functions.IsinAlmostFullWithRandomInt.time_isin(, 13) + 936±9μs 1.03±0.01ms 1.10 dtypes.SelectDtypes.time_select_dtype_int_include('UInt8') + 257±2ms 282±0.9ms 1.10 series_methods.IsInLongSeriesLookUpDominates.time_isin('object', 1000, 'random_hits') + 3.59±0.03ms 3.94±0.06ms 1.10 io.csv.ReadCSVFloatPrecision.time_read_csv(';', '.', 'round_trip') + 943±6μs 1.03±0ms 1.10 dtypes.SelectDtypes.time_select_dtype_float_include('uint8') + 296±2μs 324±2μs 1.10 hash_functions.IsinWithArangeSorted.time_isin(, 8000) + 741±0.7ms 812±1ms 1.10 groupby.GroupByMethods.time_dtype_as_group('int', 'mad', 'transformation') + 2.46±0.02ms 2.69±0.03ms 1.10 io.csv.ReadCSVFloatPrecision.time_read_csv(',', '_', 'high') + 954±10μs 1.05±0ms 1.10 dtypes.SelectDtypes.time_select_dtype_string_include('complex64') + 14.8±0.04μs 16.3±0.04μs 1.10 dtypes.Dtypes.time_pandas_dtype('object') + 936±3μs 1.03±0.01ms 1.10 dtypes.SelectDtypes.time_select_dtype_int_include('UInt64') + 14.9±0.03μs 16.3±0.07μs 1.10 dtypes.DtypesInvalid.time_pandas_dtype_invalid('scalar-string') + 130±1ms 142±2ms 1.10 io.json.ToJSON.time_to_json('index', 'df') + 68.9±0.4ms 75.4±0.5ms 1.10 groupby.GroupByMethods.time_dtype_as_field('int', 'unique', 'transformation') + 138±2ms 151±2ms 1.10 io.json.ToJSON.time_to_json('index', 'df_date_idx') + 947±3μs 1.04±0.01ms 1.10 dtypes.SelectDtypes.time_select_dtype_float_include('M8[ns]') + 448±3μs 491±3μs 1.09 period.Algorithms.time_drop_duplicates('series') + 949±7μs 1.04±0ms 1.09 dtypes.SelectDtypes.time_select_dtype_bool_include('uint32') + 15.0±0.05μs 16.4±0.08μs 1.09 dtypes.Dtypes.time_pandas_dtype('uint64') + 857±2μs 937±6μs 1.09 groupby.GroupByMethods.time_dtype_as_field('int', 'sem', 'transformation') + 414±4μs 453±3μs 1.09 index_object.SetOperations.time_operation('datetime', 'intersection') + 508±3μs 555±5μs 1.09 hash_functions.IsinAlmostFullWithRandomInt.time_isin_outside(, 14) + 201±5ms 220±0.6ms 1.09 io.stata.StataMissing.time_read_stata('td') + 934±10μs 1.02±0.01ms 1.09 dtypes.SelectDtypes.time_select_dtype_bool_include('Int32') + 108±2ms 118±2ms 1.09 io.stata.Stata.time_read_stata('tq') + 959±20μs 1.05±0ms 1.09 dtypes.SelectDtypes.time_select_dtype_int_include('timedelta64[ns]') + 1.44±0.01ms 1.58±0.02ms 1.09 dtypes.SelectDtypes.time_select_dtype_int_include() + 205±5ms 224±6ms 1.09 io.stata.StataMissing.time_read_stata('tq') + 15.4±0.07μs 16.8±0.02μs 1.09 dtypes.Dtypes.time_pandas_dtype('timedelta64') + 101±0.4ms 111±0.7ms 1.09 groupby.GroupByMethods.time_dtype_as_group('int', 'unique', 'transformation') + 514±2ms 561±0.7ms 1.09 groupby.GroupByMethods.time_dtype_as_field('float', 'mad', 'transformation') + 148±1μs 162±0.7μs 1.09 hash_functions.IsinAlmostFullWithRandomInt.time_isin(, 11) + 1.55±0.01ms 1.69±0.02ms 1.09 dtypes.SelectDtypes.time_select_dtype_float_exclude('M8[ns]') + 161±0.5ms 176±0.3ms 1.09 groupby.GroupByMethods.time_dtype_as_group('datetime', 'unique', 'transformation') + 52.9±0.8ms 57.7±0.9ms 1.09 gil.ParallelGroupbyMethods.time_parallel(4, 'var') + 1.46±0.01ms 1.60±0.01ms 1.09 dtypes.SelectDtypes.time_select_dtype_int_include('Int64') + 94.7±0.7ms 103±0.7ms 1.09 frame_methods.Repr.time_frame_repr_wide + 168±5ms 183±2ms 1.09 io.json.ToJSONLines.time_floats_with_int_idex_lines + 87.6±0.7μs 95.4±0.8μs 1.09 timeseries.SortIndex.time_get_slice(True) + 3.17±0.08μs 3.45±0.08μs 1.09 attrs_caching.SeriesArrayAttribute.time_extract_array('numeric') + 233±2ms 254±1ms 1.09 io.json.ToJSONLines.time_float_longint_str_lines + 855±5μs 932±2μs 1.09 series_methods.Clip.time_clip(1000) + 185±2ms 201±0.7ms 1.09 io.json.ToJSONLines.time_delta_int_tstamp_lines + 920±10μs 1.00±0ms 1.09 dtypes.SelectDtypes.time_select_dtype_bool_include() + 1.49±0ms 1.62±0.02ms 1.09 frame_methods.Iteration.time_items_cached + 158±0.7μs 172±0.5μs 1.09 hash_functions.IsinAlmostFullWithRandomInt.time_isin_outside(, 11) + 951±8μs 1.03±0ms 1.09 dtypes.SelectDtypes.time_select_dtype_bool_include('datetime64[ns]') + 1.54±0.01ms 1.68±0.01ms 1.09 dtypes.SelectDtypes.time_select_dtype_float_exclude('int32') + 1.55±0.02ms 1.68±0.02ms 1.09 dtypes.SelectDtypes.time_select_dtype_float_exclude('int8') + 4.63±0.01ms 5.03±0.02ms 1.09 stat_ops.FrameOps.time_op('median', 'int', 0) + 22.0±0.05ms 23.9±0.07ms 1.09 groupby.MultiColumn.time_cython_sum + 417±6μs 453±1μs 1.09 hash_functions.IsinAlmostFullWithRandomInt.time_isin(, 13) + 99.3±0.5ms 108±0.4ms 1.09 join_merge.MergeOrdered.time_merge_ordered + 896±5μs 973±8μs 1.09 hash_functions.IsinAlmostFullWithRandomInt.time_isin_outside(, 15) + 168±0.7μs 183±2μs 1.09 groupby.GroupByMethods.time_dtype_as_group('datetime', 'size', 'direct') + 1.55±0ms 1.68±0.01ms 1.09 dtypes.SelectDtypes.time_select_dtype_float_exclude('timedelta64[ns]') + 126±2μs 137±2μs 1.09 timeseries.AsOf.time_asof_single_early('DataFrame') + 4.29±0.02ms 4.66±0.01ms 1.09 rolling.VariableWindowMethods.time_rolling('DataFrame', '1d', 'float', 'skew') + 161±0.4ms 175±0.2ms 1.09 groupby.GroupByMethods.time_dtype_as_group('datetime', 'unique', 'direct') + 24.9±0.3ms 27.0±0.3ms 1.09 gil.ParallelGroupbyMethods.time_parallel(2, 'prod') + 11.9±0.07ms 12.9±0.09ms 1.08 stat_ops.FrameMultiIndexOps.time_op(1, 'sem') + 210±2ms 228±0.5ms 1.08 io.json.ToJSONLines.time_float_int_str_lines + 15.1±0.08μs 16.3±0.04μs 1.08 dtypes.Dtypes.time_pandas_dtype('uint16') + 24.6±0.8ms 26.7±0.3ms 1.08 gil.ParallelGroupbyMethods.time_parallel(2, 'sum') + 155±0.4ms 168±2ms 1.08 frame_methods.Duplicated.time_frame_duplicated_wide + 1.57±0.01ms 1.70±0.02ms 1.08 dtypes.SelectDtypes.time_select_dtype_int_exclude('bool') + 222±2μs 241±0.4μs 1.08 arithmetic.OffsetArrayArithmetic.time_add_series_offset() + 12.1±0.09ms 13.2±0.09ms 1.08 multiindex_object.Integer.time_get_indexer + 212±2μs 230±1μs 1.08 hash_functions.IsinAlmostFullWithRandomInt.time_isin_outside(, 12) + 1.54±0.01ms 1.67±0.03ms 1.08 dtypes.SelectDtypes.time_select_dtype_float_exclude('Int64') + 3.96±0.02ms 4.29±0.08ms 1.08 index_cached_properties.IndexCache.time_is_unique('Float64Index') + 699±40ns 757±30ns 1.08 index_cached_properties.IndexCache.time_inferred_type('RangeIndex') + 2.38±0.02ms 2.58±0.02ms 1.08 groupby.TransformNaN.time_first + 12.0±0.07ms 13.0±0.07ms 1.08 stat_ops.FrameMultiIndexOps.time_op(0, 'sem') + 98.0±0.8μs 106±3μs 1.08 ctors.SeriesConstructors.time_series_constructor(, True, 'int') + 1.38±0.01ms 1.49±0.01ms 1.08 hash_functions.IsinAlmostFullWithRandomInt.time_isin(, 16) + 1.56±0ms 1.69±0.01ms 1.08 dtypes.SelectDtypes.time_select_dtype_int_exclude('uint16') + 215±1ms 233±3ms 1.08 io.json.ToJSONLines.time_float_int_lines + 630±5μs 682±5μs 1.08 groupby.GroupByMethods.time_dtype_as_field('float', 'nunique', 'transformation') + 131±2μs 142±2μs 1.08 hash_functions.IsinWithArangeSorted.time_isin(, 1000) + 360±2μs 390±7μs 1.08 arithmetic.NumericInferOps.time_subtract() + 27.2±0.1ms 29.5±0.3ms 1.08 gil.ParallelGroupbyMethods.time_parallel(2, 'var') + 361±6μs 390±6μs 1.08 arithmetic.NumericInferOps.time_subtract() + 11.6±0.2ms 12.5±0.06ms 1.08 reshape.PivotTable.time_pivot_table_categorical_observed + 22.3±0.2μs 24.1±0.09μs 1.08 boolean.TimeLogicalOps.time_and_array + 366±2μs 396±4μs 1.08 arithmetic.NumericInferOps.time_add() + 24.4±0.4ms 26.4±0.5ms 1.08 gil.ParallelGroupbyMethods.time_parallel(2, 'mean') + 364±3μs 394±4μs 1.08 arithmetic.NumericInferOps.time_multiply() + 7.25±0.01ms 7.84±0.03ms 1.08 timeseries.ResampleSeries.time_resample('period', '5min', 'mean') + 880±3ms 952±2ms 1.08 join_merge.I8Merge.time_i8merge('right') + 1.56±0.01ms 1.68±0.01ms 1.08 dtypes.SelectDtypes.time_select_dtype_float_exclude('int16') + 119±0.3ms 129±0.2ms 1.08 strings.Repeat.time_repeat('array') + 1.55±0ms 1.68±0.02ms 1.08 dtypes.SelectDtypes.time_select_dtype_int_exclude('Int8') + 73.0±0.2ms 78.9±0.6ms 1.08 groupby.GroupByMethods.time_dtype_as_field('float', 'unique', 'direct') + 634±5μs 685±3μs 1.08 groupby.GroupByMethods.time_dtype_as_field('float', 'nunique', 'direct') + 518±3ms 560±2ms 1.08 groupby.GroupByMethods.time_dtype_as_field('float', 'mad', 'direct') + 2.47±0.02ms 2.67±0.05ms 1.08 io.csv.ReadCSVFloatPrecision.time_read_csv(';', '_', 'high') + 1.80±0.03ms 1.95±0.03ms 1.08 groupby.Datelike.time_sum('period_range') + 953±10μs 1.03±0ms 1.08 dtypes.SelectDtypes.time_select_dtype_int_include('float64') + 1.53±0.02ms 1.65±0.01ms 1.08 dtypes.SelectDtypes.time_select_dtype_float_exclude('Int8') + 142±0.5μs 154±0.7μs 1.08 tslibs.normalize.Normalize.time_normalize_i8_timestamps(10000, tzfile('/usr/share/zoneinfo/Asia/Tokyo')) + 15.9±0.2ms 17.2±0.1ms 1.08 io.csv.ReadCSVSkipRows.time_skipprows(10000, 'c') + 169±2μs 183±3μs 1.08 hash_functions.IsinWithRandomFloat.time_isin(, 1300) + 73.0±0.3ms 78.8±0.2ms 1.08 groupby.GroupByMethods.time_dtype_as_field('float', 'unique', 'transformation') + 364±3μs 393±2μs 1.08 arithmetic.NumericInferOps.time_add() + 267±0.8μs 288±2μs 1.08 groupby.GroupByMethods.time_dtype_as_group('object', 'tail', 'direct') + 1.58±0.02ms 1.71±0.02ms 1.08 dtypes.SelectDtypes.time_select_dtype_int_exclude('complex128') + 3.46±0.02μs 3.73±0.1μs 1.08 tslibs.normalize.Normalize.time_normalize_i8_timestamps(1, None) + 1.55±0.01ms 1.67±0.01ms 1.08 dtypes.SelectDtypes.time_select_dtype_float_exclude('bool') + 310±5μs 335±0.5μs 1.08 hash_functions.IsinAlmostFullWithRandomInt.time_isin_outside(, 13) + 8.51±0.04ms 9.18±0.1ms 1.08 stat_ops.SeriesMultiIndexOps.time_op(0, 'skew') + 74.5±0.5ms 80.3±0.8ms 1.08 groupby.GroupByMethods.time_dtype_as_field('object', 'unique', 'transformation') + 2.49±0.01ms 2.69±0.03ms 1.08 io.csv.ReadCSVFloatPrecision.time_read_csv(',', '_', 'round_trip') + 28.2±0.4μs 30.4±0.09μs 1.08 indexing.NumericSeriesIndexing.time_loc_scalar(, 'unique_monotonic_inc') + 361±2μs 389±2μs 1.08 groupby.GroupByMethods.time_dtype_as_field('float', 'sum', 'transformation') + 85.6±1ms 92.2±1ms 1.08 stat_ops.SeriesMultiIndexOps.time_op(1, 'mad') + 756±5μs 814±10μs 1.08 series_methods.IsInForObjects.time_isin_nans + 1.47±0.01ms 1.58±0.01ms 1.08 dtypes.SelectDtypes.time_select_dtype_float_include('float64') + 1.55±0.01ms 1.67±0.01ms 1.08 dtypes.SelectDtypes.time_select_dtype_float_exclude('complex64') + 1.58±0.01ms 1.70±0.02ms 1.08 dtypes.SelectDtypes.time_select_dtype_int_exclude('uint32') + 1.54±0.01ms 1.66±0.02ms 1.08 dtypes.SelectDtypes.time_select_dtype_int_exclude() + 1.54±0.01ms 1.66±0.01ms 1.08 dtypes.SelectDtypes.time_select_dtype_float_exclude('Int16') + 81.3±0.8μs 87.4±0.4μs 1.08 ctors.SeriesConstructors.time_series_constructor(, False, 'int') + 251±1μs 271±3μs 1.08 groupby.GroupByMethods.time_dtype_as_group('object', 'head', 'transformation') + 1.43±0.01ms 1.54±0.01ms 1.08 dtypes.SelectDtypes.time_select_dtype_float_include() + 3.64±0.1μs 3.91±0.2μs 1.08 index_cached_properties.IndexCache.time_inferred_type('IntervalIndex') + 1.59±0.01ms 1.71±0.01ms 1.07 dtypes.SelectDtypes.time_select_dtype_int_exclude('uint64') + 515±3μs 553±20μs 1.07 multiindex_object.Duplicates.time_remove_unused_levels + 41.2±1ms 44.2±0.1ms 1.07 io.csv.ReadCSVCategorical.time_convert_direct('c') + 886±8ms 952±7ms 1.07 gil.ParallelGroups.time_get_groups(8) + 18.3±0.2μs 19.6±0.2μs 1.07 series_methods.NanOps.time_func('prod', 1000, 'boolean') + 438±4μs 471±3μs 1.07 series_methods.Map.time_map('Series', 'int') + 1.53±0.01ms 1.65±0.01ms 1.07 dtypes.SelectDtypes.time_select_dtype_float_exclude('UInt64') + 1.57±0.01ms 1.69±0.02ms 1.07 dtypes.SelectDtypes.time_select_dtype_int_exclude('int8') + 160±0.4ms 172±2ms 1.07 groupby.GroupByMethods.time_dtype_as_group('float', 'unique', 'transformation') + 287±0.5ms 308±0.4ms 1.07 join_merge.MergeCategoricals.time_merge_cat + 1.56±0.02ms 1.67±0.01ms 1.07 dtypes.SelectDtypes.time_select_dtype_float_exclude('uint32') + 5.87±0.2ms 6.30±0.02ms 1.07 io.csv.ReadCSVParseSpecialDate.time_read_special_date('mdY', 'c') + 1.58±0.02ms 1.70±0.01ms 1.07 dtypes.SelectDtypes.time_select_dtype_int_exclude('datetime64[ns]') + 16.2±0.05ms 17.4±0.7ms 1.07 stat_ops.SeriesMultiIndexOps.time_op(0, 'mad') + 1.57±0.02ms 1.69±0.01ms 1.07 dtypes.SelectDtypes.time_select_dtype_int_exclude('UInt16') + 2.46±0.01ms 2.64±0.04ms 1.07 io.csv.ReadCSVFloatPrecision.time_read_csv(';', '_', None) + 22.7±0.1μs 24.4±0.1μs 1.07 boolean.TimeLogicalOps.time_or_array + 1.44±0.01ms 1.54±0ms 1.07 groupby.SumMultiLevel.time_groupby_sum_multiindex + 39.0±0.5ms 41.8±0.3ms 1.07 indexing.ChainIndexing.time_chained_indexing('warn') + 364±5μs 390±4μs 1.07 arithmetic.NumericInferOps.time_multiply() + 169±0.9μs 181±0.6μs 1.07 groupby.GroupByMethods.time_dtype_as_group('datetime', 'size', 'transformation') + 29.1±0.3ms 31.2±0.08ms 1.07 hash_functions.IsinWithArange.time_isin(, 8000, 0) + 160±0.6ms 171±1ms 1.07 groupby.GroupByMethods.time_dtype_as_group('float', 'unique', 'direct') + 21.9±0.1μs 23.5±0.2μs 1.07 boolean.TimeLogicalOps.time_xor_array + 39.0±0.6ms 41.7±0.06ms 1.07 indexing.ChainIndexing.time_chained_indexing(None) + 45.2±0.1μs 48.4±0.5μs 1.07 boolean.TimeLogicalOps.time_xor_scalar + 1.56±0.02ms 1.67±0.01ms 1.07 dtypes.SelectDtypes.time_select_dtype_float_exclude('uint16') + 1.58±0.01ms 1.69±0.01ms 1.07 dtypes.SelectDtypes.time_select_dtype_int_exclude('float64') + 275±2μs 294±7μs 1.07 groupby.GroupByMethods.time_dtype_as_group('datetime', 'head', 'direct') + 430±5μs 460±3μs 1.07 groupby.GroupByMethods.time_dtype_as_group('float', 'min', 'direct') + 74.4±0.2ms 79.6±0.7ms 1.07 groupby.GroupByMethods.time_dtype_as_field('object', 'unique', 'direct') + 1.56±0.02ms 1.66±0.01ms 1.07 dtypes.SelectDtypes.time_select_dtype_float_exclude('float32') + 30.0±0.03ms 32.0±0.1ms 1.07 reshape.Crosstab.time_crosstab_values + 1.59±0.01ms 1.70±0.01ms 1.07 dtypes.SelectDtypes.time_select_dtype_int_exclude('m8[ns]') + 1.42±0.08μs 1.52±0.05μs 1.07 index_cached_properties.IndexCache.time_is_monotonic_decreasing('Int64Index') + 16.3±0.2ms 17.5±0.05ms 1.07 frame_methods.Repr.time_repr_tall + 1.51±0.01ms 1.62±0.02ms 1.07 dtypes.SelectDtypes.time_select_dtype_int_include('int64') + 31.8±0.1ms 34.0±0.1ms 1.07 reshape.Crosstab.time_crosstab + 4.99±0.01ms 5.33±0.02ms 1.07 timeseries.AsOf.time_asof_nan('Series') + 1.59±0.01ms 1.70±0ms 1.07 dtypes.SelectDtypes.time_select_dtype_int_exclude('int16') + 28.5±0.4ms 30.5±0.4ms 1.07 reshape.PivotTable.time_pivot_table + 12.6±0.2ms 13.5±0.07ms 1.07 frame_methods.Apply.time_apply_ref_by_name + 56.4±0.3μs 60.2±0.5μs 1.07 boolean.TimeLogicalOps.time_and_scalar + 1.56±0.03ms 1.67±0.01ms 1.07 dtypes.SelectDtypes.time_select_dtype_float_exclude('int64') + 1.57±0.02ms 1.68±0.01ms 1.07 dtypes.SelectDtypes.time_select_dtype_int_exclude('Int16') + 1.56±0.01ms 1.67±0.02ms 1.07 dtypes.SelectDtypes.time_select_dtype_float_exclude('datetime64[ns]') + 366±2μs 390±3μs 1.07 groupby.GroupByMethods.time_dtype_as_field('float', 'max', 'transformation') + 47.8±0.5ms 51.0±0.3ms 1.07 gil.ParallelGroupbyMethods.time_parallel(4, 'prod') + 398±4μs 425±2μs 1.07 groupby.GroupByMethods.time_dtype_as_group('object', 'first', 'transformation') + 48.4±0.6ms 51.6±0.4ms 1.07 gil.ParallelGroupbyMethods.time_parallel(4, 'mean') + 1.59±0.02ms 1.69±0ms 1.07 dtypes.SelectDtypes.time_select_dtype_int_exclude('int32') + 365±2μs 389±3μs 1.07 groupby.GroupByMethods.time_dtype_as_field('float', 'max', 'direct') + 1.57±0.01ms 1.68±0.01ms 1.07 dtypes.SelectDtypes.time_select_dtype_int_exclude('Int32') + 174±2μs 186±0.9μs 1.07 hash_functions.NumericSeriesIndexingShuffled.time_loc_slice(, 100000) + 430±4μs 459±2μs 1.07 groupby.GroupByMethods.time_dtype_as_group('float', 'min', 'transformation') + 50.5±0.3ms 53.8±0.8ms 1.07 groupby.Nth.time_series_nth_all('object') + 98.1±0.1ms 105±1ms 1.07 join_merge.MergeAsof.time_by_object('backward', None) + 274±2μs 292±2μs 1.07 groupby.GroupByMethods.time_dtype_as_group('datetime', 'head', 'transformation') + 51.1±0.5ms 54.4±0.4ms 1.07 groupby.Nth.time_series_nth_any('object') + 180±0.5ms 191±0.9ms 1.07 groupby.GroupByMethods.time_dtype_as_group('int', 'skew', 'direct') + 252±0.7μs 269±2μs 1.07 groupby.GroupByMethods.time_dtype_as_group('object', 'head', 'direct') + 160±1μs 171±1μs 1.06 groupby.GroupByMethods.time_dtype_as_group('object', 'count', 'transformation') + 502±9μs 534±3μs 1.06 indexing_engines.NumericEngineIndexing.time_get_loc((, ), 'monotonic_incr') + 825±1ms 878±2ms 1.06 join_merge.I8Merge.time_i8merge('outer') + 7.94±0.04ms 8.45±0.06ms 1.06 stat_ops.SeriesMultiIndexOps.time_op(0, 'kurt') + 5.02±0.1μs 5.34±0.2μs 1.06 index_cached_properties.IndexCache.time_shape('MultiIndex') + 297±2μs 316±2μs 1.06 groupby.GroupByMethods.time_dtype_as_group('float', 'tail', 'direct') + 268±2μs 285±1μs 1.06 groupby.GroupByMethods.time_dtype_as_group('object', 'tail', 'transformation') + 1.52±0.02ms 1.62±0.02ms 1.06 dtypes.SelectDtypes.time_select_dtype_float_exclude() + 755±4ms 803±0.7ms 1.06 stat_ops.SeriesMultiIndexOps.time_op([0, 1], 'mad') + 395±3μs 420±4μs 1.06 groupby.GroupByMethods.time_dtype_as_group('object', 'last', 'direct') + 430±2μs 457±2μs 1.06 groupby.GroupByMethods.time_dtype_as_group('float', 'first', 'direct') + 408±3μs 433±10μs 1.06 groupby.GroupByMethods.time_dtype_as_field('int', 'last', 'transformation') + 3.46±0.04μs 3.68±0.02μs 1.06 tslibs.normalize.Normalize.time_normalize_i8_timestamps(0, None) + 1.92±0.09μs 2.04±0.2μs 1.06 index_cached_properties.IndexCache.time_inferred_type('DatetimeIndex') + 1.56±0.02ms 1.66±0.01ms 1.06 dtypes.SelectDtypes.time_select_dtype_float_exclude('uint8') + 365±2μs 387±2μs 1.06 groupby.GroupByMethods.time_dtype_as_field('float', 'min', 'direct') + 1.72±0.02ms 1.82±0.01ms 1.06 groupby.GroupByMethods.time_dtype_as_field('float', 'pct_change', 'transformation') + 367±4μs 390±4μs 1.06 groupby.GroupByMethods.time_dtype_as_field('float', 'sum', 'direct') + 351±2μs 372±1μs 1.06 groupby.GroupByMethods.time_dtype_as_field('float', 'last', 'transformation') + 1.56±0.02ms 1.65±0.01ms 1.06 dtypes.SelectDtypes.time_select_dtype_int_exclude() + 289±1μs 306±3μs 1.06 groupby.GroupByMethods.time_dtype_as_field('object', 'count', 'transformation') + 160±0.7μs 170±2μs 1.06 groupby.GroupByMethods.time_dtype_as_group('object', 'count', 'direct') + 369±3μs 391±3μs 1.06 groupby.GroupByMethods.time_dtype_as_field('float', 'min', 'transformation') + 827±2ms 877±3ms 1.06 join_merge.I8Merge.time_i8merge('inner') + 1.54±0.01ms 1.63±0.01ms 1.06 dtypes.SelectDtypes.time_select_dtype_float_exclude('Int32') + 361±2μs 382±1μs 1.06 groupby.GroupByMethods.time_dtype_as_field('float', 'prod', 'transformation') + 1.60±0.01ms 1.69±0.01ms 1.06 dtypes.SelectDtypes.time_select_dtype_int_exclude('float32') + 317±2μs 336±5μs 1.06 groupby.GroupByMethods.time_dtype_as_field('datetime', 'head', 'direct') + 319±0.6μs 338±4μs 1.06 groupby.GroupByMethods.time_dtype_as_group('int', 'head', 'transformation') + 315±1μs 334±2μs 1.06 groupby.GroupByMethods.time_dtype_as_group('float', 'std', 'direct') + 24.8±0.4ms 26.3±0.5ms 1.06 gil.ParallelGroupbyMethods.time_parallel(2, 'last') + 122±0.3ms 129±0.3ms 1.06 groupby.GroupByMethods.time_dtype_as_field('int', 'skew', 'direct') + 83.9±0.6μs 88.8±0.5μs 1.06 frame_ctor.FromSeries.time_mi_series + 4.41±0.1μs 4.67±0.07μs 1.06 attrs_caching.SeriesArrayAttribute.time_extract_array_numpy('numeric') + 338±3μs 358±2μs 1.06 groupby.GroupByMethods.time_dtype_as_field('float', 'shift', 'direct') + 5.16±0.02ms 5.46±0.02ms 1.06 timeseries.AsOf.time_asof('Series') + 343±3μs 363±3μs 1.06 reshape.Explode.time_explode(100, 5) + 370±2μs 391±4μs 1.06 groupby.GroupByMethods.time_dtype_as_field('datetime', 'min', 'direct') + 351±3μs 371±1μs 1.06 groupby.GroupByMethods.time_dtype_as_field('datetime', 'last', 'direct') + 432±2μs 457±3μs 1.06 groupby.GroupByMethods.time_dtype_as_group('float', 'first', 'transformation') + 310±1μs 328±5μs 1.06 groupby.GroupByMethods.time_dtype_as_field('datetime', 'any', 'direct') + 1.17±0.01ms 1.24±0ms 1.06 index_object.IntervalIndexMethod.time_intersection_both_duplicate(1000) + 1.22±0.05μs 1.29±0.08μs 1.06 index_cached_properties.IndexCache.time_is_monotonic('Int64Index') + 501±2μs 530±2μs 1.06 groupby.GroupByMethods.time_dtype_as_field('object', 'last', 'transformation') + 43.2±0.2ms 45.7±0.3ms 1.06 frame_methods.SortIndexByColumns.time_frame_sort_values_by_columns + 5.56±0.01ms 5.88±0.1ms 1.06 timeseries.ToDatetimeFormatQuarters.time_infer_quarter + 163±1ms 172±1ms 1.06 io.json.ReadJSON.time_read_json('split', 'int') + 17.9±0.1μs 18.9±0.2μs 1.06 series_methods.NanOps.time_func('sum', 1000, 'boolean') + 328±2μs 347±2μs 1.06 groupby.GroupByMethods.time_dtype_as_field('int', 'tail', 'transformation') + 2.88±0.01ms 3.05±0.02ms 1.06 dtypes.SelectDtypes.time_select_dtype_string_exclude() + 320±2ms 337±2ms 1.06 io.excel.ReadExcel.time_read_excel('openpyxl') + 161±0.8μs 169±1μs 1.06 groupby.GroupByMethods.time_dtype_as_field('int', 'count', 'transformation') + 338±1μs 356±3μs 1.06 groupby.GroupByMethods.time_dtype_as_field('float', 'shift', 'transformation') + 309±2μs 327±2μs 1.06 groupby.GroupByMethods.time_dtype_as_field('datetime', 'all', 'transformation') + 169±0.9ms 178±0.5ms 1.05 io.json.ReadJSON.time_read_json('split', 'datetime') + 317±1μs 335±1μs 1.05 groupby.GroupByMethods.time_dtype_as_group('int', 'head', 'direct') + 26.8±0.09ms 28.2±0.1ms 1.05 categoricals.Constructor.time_regular + 180±0.8ms 190±1ms 1.05 groupby.GroupByMethods.time_dtype_as_group('int', 'skew', 'transformation') + 14.2±0.05ms 14.9±0.1ms 1.05 stat_ops.Correlation.time_corrwith_rows('pearson') + 4.01±0.02μs 4.23±0μs 1.05 tslibs.normalize.Normalize.time_normalize_i8_timestamps(100, None) + 856±1ms 902±3ms 1.05 join_merge.I8Merge.time_i8merge('left') + 432±3μs 456±2μs 1.05 groupby.GroupByMethods.time_dtype_as_group('float', 'max', 'transformation') + 426±3μs 450±3μs 1.05 groupby.GroupByMethods.time_dtype_as_field('int', 'min', 'transformation') + 400±2μs 422±3μs 1.05 groupby.GroupByMethods.time_dtype_as_group('object', 'first', 'direct') + 396±0.6μs 418±3μs 1.05 groupby.GroupByMethods.time_dtype_as_group('object', 'last', 'transformation') + 161±0.8μs 170±1μs 1.05 groupby.GroupByMethods.time_dtype_as_group('int', 'count', 'direct') + 11.0±0.1μs 11.6±0.2μs 1.05 timeseries.DatetimeIndex.time_get('tz_naive') + 1.57±0.01ms 1.66±0.01ms 1.05 dtypes.SelectDtypes.time_select_dtype_float_exclude('m8[ns]') + 281±1ms 296±2ms 1.05 groupby.GroupByMethods.time_dtype_as_group('float', 'skew', 'direct') + 128±0.7μs 135±1μs 1.05 arithmetic.CategoricalComparisons.time_categorical_op('__le__') + 360±2μs 379±4μs 1.05 groupby.GroupByMethods.time_dtype_as_field('datetime', 'max', 'transformation') + 63.6±0.7ms 67.0±0.7ms 1.05 frame_methods.Count.time_count_level_multi(0) + 163±0.7μs 171±1μs 1.05 groupby.GroupByMethods.time_dtype_as_field('float', 'count', 'direct') + 122±0.5ms 129±0.4ms 1.05 groupby.GroupByMethods.time_dtype_as_field('int', 'skew', 'transformation') + 427±1μs 449±3μs 1.05 groupby.GroupByMethods.time_dtype_as_field('int', 'first', 'direct') + 2.92±0ms 3.07±0.01ms 1.05 dtypes.SelectDtypes.time_select_dtype_string_exclude('complex64') + 284±2μs 299±3μs 1.05 groupby.GroupByMethods.time_dtype_as_group('float', 'head', 'direct') + 223±2ms 235±2ms 1.05 frame_methods.Apply.time_apply_user_func + 315±1μs 331±2μs 1.05 groupby.GroupByMethods.time_dtype_as_field('int', 'head', 'direct') + 61.2±0.5μs 64.4±0.6μs 1.05 boolean.TimeLogicalOps.time_or_scalar + 50.4±0.2μs 53.0±0.3μs 1.05 arithmetic.CategoricalComparisons.time_categorical_op('__ge__') + 277±0.6ms 291±2ms 1.05 join_merge.MergeAsof.time_by_object('nearest', 5) + 34.2±0.1μs 36.0±0.2μs 1.05 timeseries.AsOf.time_asof_single('Series') + 328±2μs 345±0.8μs 1.05 groupby.GroupByMethods.time_dtype_as_field('int', 'tail', 'direct') + 277±0.4ms 291±2ms 1.05 join_merge.MergeAsof.time_by_object('nearest', None) + 340±2μs 357±3μs 1.05 groupby.GroupByMethods.time_dtype_as_field('object', 'tail', 'transformation') + 417±4μs 438±1μs 1.05 groupby.GroupByMethods.time_dtype_as_group('int', 'last', 'direct') + 162±0.6μs 171±1μs 1.05 groupby.GroupByMethods.time_dtype_as_field('float', 'count', 'transformation') + 227±1μs 239±0.7μs 1.05 tslibs.normalize.Normalize.time_normalize_i8_timestamps(10000, ) + 959±20μs 1.01±0.02ms 1.05 ctors.SeriesConstructors.time_series_constructor(, True, 'int') + 333±2μs 350±2μs 1.05 groupby.GroupByMethods.time_dtype_as_group('int', 'tail', 'direct') + 429±2μs 451±2μs 1.05 groupby.GroupByMethods.time_dtype_as_group('int', 'min', 'direct') + 296±2μs 311±1μs 1.05 groupby.GroupByMethods.time_dtype_as_group('datetime', 'cumcount', 'transformation') + 354±2μs 372±3μs 1.05 groupby.GroupByMethods.time_dtype_as_field('datetime', 'last', 'transformation') + 297±2μs 312±3μs 1.05 groupby.GroupByMethods.time_dtype_as_group('datetime', 'cumcount', 'direct') + 428±2μs 450±0.7μs 1.05 groupby.GroupByMethods.time_dtype_as_group('float', 'last', 'direct') + 454±3μs 477±2μs 1.05 groupby.GroupByMethods.time_dtype_as_group('object', 'nunique', 'transformation') + 85.8±0.7ms 90.1±1ms 1.05 groupby.Groups.time_series_groups('object_small') + 502±0.9μs 527±3μs 1.05 groupby.GroupByMethods.time_dtype_as_field('object', 'last', 'direct') + 303±2μs 318±1μs 1.05 groupby.GroupByMethods.time_dtype_as_group('float', 'cumcount', 'direct') + 294±2μs 308±2μs 1.05 groupby.GroupByMethods.time_dtype_as_group('datetime', 'tail', 'direct') + 411±1μs 431±3μs 1.05 groupby.GroupByMethods.time_dtype_as_field('int', 'last', 'direct') + 238±1ms 250±2ms 1.05 gil.ParallelGroups.time_get_groups(2) + 304±1μs 319±2μs 1.05 groupby.GroupByMethods.time_dtype_as_group('float', 'cumcount', 'transformation') + 2.39±0.01ms 2.50±0.02ms 1.05 timeseries.AsOf.time_asof_single('DataFrame') + 329±1μs 345±1μs 1.05 groupby.GroupByMethods.time_dtype_as_field('float', 'tail', 'transformation') + 310±0.9μs 325±1μs 1.05 groupby.GroupByMethods.time_dtype_as_field('datetime', 'any', 'transformation') + 434±4μs 455±2μs 1.05 groupby.GroupByMethods.time_dtype_as_group('int', 'first', 'direct') + 427±3μs 448±4μs 1.05 groupby.GroupByMethods.time_dtype_as_field('int', 'max', 'direct') + 97.4±0.2ms 102±6ms 1.05 tslibs.resolution.TimeResolution.time_get_resolution('D', 1000000, None) + 319±1μs 334±3μs 1.05 groupby.GroupByMethods.time_dtype_as_group('int', 'std', 'direct') + 303±1μs 317±2μs 1.05 groupby.GroupByMethods.time_dtype_as_field('float', 'std', 'direct') + 50.6±0.3μs 53.0±0.4μs 1.05 arithmetic.CategoricalComparisons.time_categorical_op('__gt__') + 303±2μs 317±1μs 1.05 groupby.GroupByMethods.time_dtype_as_field('float', 'std', 'transformation') + 926±20μs 969±20μs 1.05 ctors.SeriesConstructors.time_series_constructor(, False, 'int') + 308±0.4μs 322±2μs 1.05 groupby.GroupByMethods.time_dtype_as_field('int', 'std', 'direct') + 347±0.9μs 363±1μs 1.05 groupby.GroupByMethods.time_dtype_as_group('float', 'shift', 'direct') + 198±0.4ms 207±0.7ms 1.05 join_merge.MergeAsof.time_by_object('forward', None) + 307±1μs 322±2μs 1.05 groupby.GroupByMethods.time_dtype_as_field('int', 'std', 'transformation') + 282±2ms 295±3ms 1.05 groupby.GroupByMethods.time_dtype_as_group('float', 'skew', 'transformation') + 315±3μs 330±3μs 1.05 groupby.GroupByMethods.time_dtype_as_field('float', 'head', 'transformation') + 2.93±0.01ms 3.06±0.01ms 1.05 dtypes.SelectDtypes.time_select_dtype_string_exclude('int16') + 431±3μs 451±3μs 1.05 groupby.GroupByMethods.time_dtype_as_group('int', 'max', 'transformation') + 280±2μs 293±1μs 1.05 groupby.GroupByMethods.time_dtype_as_group('object', 'cumcount', 'direct') + 2.94±0.01ms 3.07±0.03ms 1.05 dtypes.SelectDtypes.time_select_dtype_string_exclude('int8') + 331±2μs 346±2μs 1.05 groupby.GroupByMethods.time_dtype_as_field('object', 'cumcount', 'transformation') + 2.08±0.01ms 2.17±0.03ms 1.05 series_methods.Clip.time_clip(100000) + 311±3μs 325±1μs 1.05 groupby.GroupByMethods.time_dtype_as_field('datetime', 'all', 'direct') + 37.1±0.4ms 38.8±0.1ms 1.05 arithmetic.IrregularOps.time_add + 15.2±0.1μs 15.9±0.2μs 1.05 series_methods.NanOps.time_func('min', 1000, 'boolean') + 569±6ns 595±4ns 1.05 dtypes.Dtypes.time_pandas_dtype(dtype('int32')) + 331±0.7μs 345±1μs 1.05 groupby.GroupByMethods.time_dtype_as_field('float', 'cumcount', 'transformation') + 2.01±0.02ms 2.10±0ms 1.05 groupby.GroupByMethods.time_dtype_as_group('float', 'pct_change', 'direct') + 23.1±0.1ms 24.2±0.2ms 1.04 reshape.Explode.time_explode(10000, 10) + 333±1μs 348±3μs 1.04 groupby.GroupByMethods.time_dtype_as_field('datetime', 'tail', 'transformation') + 369±7μs 385±2μs 1.04 groupby.GroupByMethods.time_dtype_as_field('float', 'first', 'direct') + 374±3μs 391±5μs 1.04 groupby.GroupByMethods.time_dtype_as_field('datetime', 'first', 'direct') + 506±8ns 529±3ns 1.04 dtypes.DtypesInvalid.time_pandas_dtype_invalid('array-string') + 316±2μs 330±3μs 1.04 groupby.GroupByMethods.time_dtype_as_group('int', 'std', 'transformation') + 736±30ns 769±40ns 1.04 index_cached_properties.IndexCache.time_is_unique('RangeIndex') + 2.52±0.02ms 2.63±0.03ms 1.04 frame_methods.Interpolate.time_interpolate_some_good(None) + 1.24±0.06μs 1.30±0.04μs 1.04 index_cached_properties.IndexCache.time_is_monotonic('RangeIndex') + 625±8ns 652±10ns 1.04 dtypes.Dtypes.time_pandas_dtype(period[D]) + 2.94±0.03ms 3.07±0.01ms 1.04 dtypes.SelectDtypes.time_select_dtype_string_exclude('complex128') + 2.92±0.01ms 3.05±0.02ms 1.04 dtypes.SelectDtypes.time_select_dtype_string_exclude('uint16') + 428±2μs 446±2μs 1.04 groupby.GroupByMethods.time_dtype_as_field('int', 'min', 'direct') + 3.79±0.2μs 3.95±0.2μs 1.04 index_cached_properties.IndexCache.time_inferred_type('TimedeltaIndex') + 2.92±0.02ms 3.04±0.03ms 1.04 dtypes.SelectDtypes.time_select_dtype_string_exclude('Int64') + 569±5ns 593±2ns 1.04 dtypes.Dtypes.time_pandas_dtype(dtype('int16')) + 2.93±0.03ms 3.05±0.02ms 1.04 dtypes.SelectDtypes.time_select_dtype_string_exclude('UInt64') + 1.88±0.01ms 1.96±0.01ms 1.04 groupby.GroupByMethods.time_dtype_as_group('int', 'pct_change', 'direct') + 401±2μs 417±20μs 1.04 tslibs.period.TimePeriodArrToDT64Arr.time_periodarray_to_dt64arr(10000, 6000) + 330±2μs 344±1μs 1.04 groupby.GroupByMethods.time_dtype_as_field('object', 'cumcount', 'direct') + 198±0.3ms 206±0.8ms 1.04 join_merge.MergeAsof.time_by_object('forward', 5) + 4.15±0.03ms 4.32±0.04ms 1.04 reshape.Melt.time_melt_dataframe + 318±1μs 332±2μs 1.04 groupby.GroupByMethods.time_dtype_as_field('datetime', 'head', 'transformation') + 362±2μs 377±3μs 1.04 groupby.GroupByMethods.time_dtype_as_group('object', 'bfill', 'direct') + 3.82±0.02ms 3.97±0.02ms 1.04 timeseries.ToDatetimeCache.time_dup_string_dates(True) + 30.1±0.1ms 31.4±0.2ms 1.04 timeseries.ToDatetimeFormat.time_same_offset_to_utc + 761±4μs 791±6μs 1.04 hash_functions.IsinAlmostFullWithRandomInt.time_isin(, 15) + 323±0.9μs 335±2μs 1.04 hash_functions.IsinAlmostFullWithRandomInt.time_isin_outside(, 13) + 15.9±0.09μs 16.5±0.2μs 1.04 series_methods.NanOps.time_func('prod', 1000, 'Int64') + 164±0.6ms 171±0.6ms 1.04 series_methods.IsInLongSeriesValuesDominate.time_isin('object', 'monotone') + 952±10μs 990±10μs 1.04 index_cached_properties.IndexCache.time_is_monotonic_decreasing('MultiIndex') + 434±3μs 451±2μs 1.04 groupby.GroupByMethods.time_dtype_as_group('int', 'max', 'direct') + 372±2μs 387±3μs 1.04 groupby.GroupByMethods.time_dtype_as_field('datetime', 'first', 'transformation') + 226±0.5μs 235±2μs 1.04 indexing.CategoricalIndexIndexing.time_getitem_bool_array('monotonic_decr') + 1.06±0ms 1.10±0.06ms 1.04 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(10000, 1011, datetime.timezone.utc) + 1.17±0.01ms 1.21±0.02ms 1.04 frame_methods.Quantile.time_frame_quantile(1) + 570±5ns 592±2ns 1.04 dtypes.Dtypes.time_pandas_dtype(dtype('float32')) + 335±3μs 348±1μs 1.04 groupby.GroupByMethods.time_dtype_as_group('int', 'tail', 'transformation') + 1.79±0.02ms 1.86±0.01ms 1.04 groupby.GroupByMethods.time_dtype_as_field('int', 'pct_change', 'direct') + 327±0.5μs 339±0.6μs 1.04 groupby.GroupByMethods.time_dtype_as_field('object', 'head', 'direct') + 331±2μs 343±2μs 1.04 groupby.GroupByMethods.time_dtype_as_field('datetime', 'cumcount', 'transformation') + 1.34±0.01ms 1.39±0ms 1.04 timeseries.InferFreq.time_infer_freq('D') + 157±0.3ms 163±0.7ms 1.04 frame_ctor.FromDicts.time_nested_dict_int64 + 348±1μs 361±2μs 1.04 groupby.GroupByMethods.time_dtype_as_group('float', 'shift', 'transformation') + 15.1±0.1μs 15.7±0.3μs 1.04 series_methods.NanOps.time_func('max', 1000, 'boolean') + 623±2μs 646±3μs 1.04 groupby.GroupByMethods.time_dtype_as_field('int', 'nunique', 'direct') + 8.62±0.04ms 8.95±0.1ms 1.04 reindex.DropDuplicates.time_frame_drop_dups(True) + 341±3μs 354±2μs 1.04 groupby.GroupByMethods.time_dtype_as_field('object', 'tail', 'direct') + 569±6ns 590±2ns 1.04 dtypes.Dtypes.time_pandas_dtype(dtype('float64')) + 2.39±0.01ms 2.48±0.01ms 1.04 timeseries.ResampleDataFrame.time_method('min') + 361±2μs 374±6μs 1.04 groupby.GroupByMethods.time_dtype_as_group('object', 'ffill', 'transformation') + 361±2μs 374±2μs 1.04 groupby.GroupByMethods.time_dtype_as_group('object', 'ffill', 'direct') + 682±3μs 707±40μs 1.04 tslibs.period.TimePeriodArrToDT64Arr.time_periodarray_to_dt64arr(10000, 8000) + 45.7±0.4ms 47.4±0.2ms 1.04 groupby.Nth.time_frame_nth_any('datetime') + 5.76±0.03ms 5.97±0.02ms 1.04 dtypes.InferDtypes.time_infer('py-object') + 2.89±0.02ms 2.99±0.02ms 1.04 dtypes.SelectDtypes.time_select_dtype_string_exclude() + 16.6±0.09ms 17.2±0.05ms 1.04 reindex.DropDuplicates.time_frame_drop_dups(False) + 593±1ms 614±1ms 1.04 series_methods.IsInLongSeriesLookUpDominates.time_isin('object', 1000, 'monotone_misses') + 573±4ns 593±2ns 1.04 dtypes.Dtypes.time_pandas_dtype(dtype('int64')) + 2.96±0.03ms 3.07±0.01ms 1.03 dtypes.SelectDtypes.time_select_dtype_string_exclude('timedelta64[ns]') + 640±4μs 663±2μs 1.03 groupby.GroupByMethods.time_dtype_as_group('float', 'nunique', 'transformation') + 1.74±0.01ms 1.80±0ms 1.03 series_methods.Map.time_map('Series', 'object') + 65.5±0.5μs 67.8±0.7μs 1.03 frame_ctor.FromNDArray.time_frame_from_ndarray + 588±3μs 609±3μs 1.03 groupby.GroupByMethods.time_dtype_as_field('object', 'nunique', 'direct') + 65.2±0.6ms 67.4±0.6ms 1.03 io.style.RenderApply.time_render(36, 12) + 162±0.5μs 168±0.9μs 1.03 timedelta.ToTimedelta.time_convert_int + 571±5ns 590±1ns 1.03 dtypes.Dtypes.time_pandas_dtype(dtype('uint64')) + 6.08±0.03ms 6.29±0.04ms 1.03 io.csv.ParseDateComparison.time_to_datetime_dayfirst(True) + 28.6±0.2ms 29.6±0.2ms 1.03 stat_ops.SeriesMultiIndexOps.time_op(1, 'skew') + 2.94±0.02ms 3.04±0.02ms 1.03 dtypes.SelectDtypes.time_select_dtype_string_exclude('int32') + 529±2μs 546±4μs 1.03 series_methods.Map.time_map('Series', 'category') + 36.5±0.09ms 37.7±0.08ms 1.03 groupby.AggEngine.time_dataframe_cython(False) + 993±10μs 1.03±0.01ms 1.03 ctors.SeriesConstructors.time_series_constructor(, True, 'float') + 1.28±0.01ms 1.32±0.03ms 1.03 stat_ops.Covariance.time_cov_series + 2.95±0.03ms 3.05±0.01ms 1.03 dtypes.SelectDtypes.time_select_dtype_string_exclude('float32') + 2.21±0.01ms 2.28±0.01ms 1.03 io.csv.ReadCSVDInferDatetimeFormat.time_read_csv(False, 'ymd') + 572±6ns 591±0.7ns 1.03 dtypes.Dtypes.time_pandas_dtype(dtype('uint8')) + 2.98±0.04ms 3.07±0.01ms 1.03 dtypes.SelectDtypes.time_select_dtype_string_exclude('m8[ns]') + 267±0.7μs 275±0.8μs 1.03 groupby.GroupByMethods.time_dtype_as_group('int', 'all', 'transformation') + 646±3μs 667±0.9μs 1.03 groupby.GroupByMethods.time_dtype_as_group('int', 'nunique', 'transformation') + 47.3±0.4ms 48.8±0.4ms 1.03 io.sql.WriteSQLDtypes.time_to_sql_dataframe_column('sqlite', 'datetime') + 572±6ns 590±2ns 1.03 dtypes.Dtypes.time_pandas_dtype(dtype('uint32')) + 714±2μs 736±2μs 1.03 groupby.GroupByMethods.time_dtype_as_field('datetime', 'nunique', 'direct') + 8.94±0.04ms 9.22±0.09ms 1.03 frame_ctor.FromArrays.time_frame_from_arrays_sparse + 34.7±0.2ms 35.8±0.07ms 1.03 sparse.ToCoo.time_sparse_series_to_coo + 33.5±0.1ms 34.5±0.1ms 1.03 groupby.AggEngine.time_series_cython(True) + 646±4μs 665±4μs 1.03 groupby.GroupByMethods.time_dtype_as_group('float', 'nunique', 'direct') + 7.18±0.08ms 7.40±0.1ms 1.03 ctors.SeriesConstructors.time_series_constructor(, False, 'int') + 333±1μs 342±1μs 1.03 groupby.GroupByMethods.time_dtype_as_field('datetime', 'cumcount', 'direct') + 574±7ns 592±2ns 1.03 dtypes.Dtypes.time_pandas_dtype(dtype('int8')) + 2.55±0.01ms 2.63±0.01ms 1.03 timeseries.ResampleDataFrame.time_method('max') + 1.00±0.01μs 1.03±0.01μs 1.03 dtypes.Dtypes.time_pandas_dtype() + 1.29±0ms 1.32±0.06ms 1.03 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(10000, 1011, ) + 7.19±0.08ms 7.40±0.09ms 1.03 ctors.SeriesConstructors.time_series_constructor(, False, 'float') + 67.1±0.5ms 69.1±0.3ms 1.03 gil.ParallelFactorize.time_loop(4) + 1.18±0.01s 1.21±0s 1.03 join_merge.MergeAsof.time_multiby('nearest', 5) + 762±1ms 784±1ms 1.03 join_merge.MergeCategoricals.time_merge_object + 625±3μs 643±2μs 1.03 groupby.GroupByMethods.time_dtype_as_field('int', 'nunique', 'transformation') + 268±1μs 275±2μs 1.03 groupby.GroupByMethods.time_dtype_as_group('int', 'all', 'direct') + 623±5ns 640±8ns 1.03 dtypes.Dtypes.time_pandas_dtype(datetime64[ns, UTC]) + 91.1±0.3ms 93.6±0.4ms 1.03 plotting.SeriesPlotting.time_series_plot('bar') + 5.65±0.03ms 5.81±0.03ms 1.03 groupby.CountMultiDtype.time_multi_count + 1.06±0.01ms 1.09±0ms 1.03 groupby.GroupByMethods.time_dtype_as_group('object', 'value_counts', 'direct') + 524±4μs 538±2μs 1.03 groupby.GroupByMethods.time_dtype_as_group('float', 'bfill', 'direct') + 656±2μs 674±2μs 1.03 categoricals.Repr.time_rendering + 14.7±0.03μs 15.1±0.05μs 1.03 tslibs.period.TimePeriodArrToDT64Arr.time_periodarray_to_dt64arr(100, 8000) + 526±2μs 539±4μs 1.03 groupby.GroupByMethods.time_dtype_as_field('int', 'ffill', 'transformation') + 451±3ms 462±0.7ms 1.02 hash_functions.NumericSeriesIndexingShuffled.time_loc_slice(, 5000000) + 683±2μs 700±4μs 1.02 groupby.GroupByMethods.time_dtype_as_field('object', 'bfill', 'transformation') + 1.07±0s 1.09±0.01s 1.02 join_merge.MergeAsof.time_multiby('forward', 5) + 714±4μs 731±2μs 1.02 groupby.GroupByMethods.time_dtype_as_field('datetime', 'nunique', 'transformation') + 92.2±0.4ms 94.5±0.8ms 1.02 plotting.TimeseriesPlotting.time_plot_regular + 5.25±0.02ms 5.38±0.03ms 1.02 dtypes.InferDtypes.time_infer('bytes') + 33.5±0.1ms 34.3±0.1ms 1.02 groupby.AggEngine.time_series_cython(False) + 1.06±0s 1.09±0s 1.02 join_merge.MergeAsof.time_multiby('forward', None) + 830±2μs 850±2μs 1.02 tslibs.period.TimePeriodArrToDT64Arr.time_periodarray_to_dt64arr(10000, 9000) + 256±0.3ms 262±6ms 1.02 io.stata.StataMissing.time_write_stata('th') + 272±0.9μs 278±1μs 1.02 groupby.GroupByMethods.time_dtype_as_group('float', 'any', 'transformation') + 11.9±0.1ms 12.1±0.03ms 1.02 timedelta.ToTimedelta.time_convert_string_seconds + 1.21±0.01ms 1.24±0ms 1.02 index_object.SetOperations.time_operation('int', 'union') + 1.68±0ms 1.72±0.01ms 1.02 arithmetic.OffsetArrayArithmetic.time_add_series_offset() + 529±2μs 540±2μs 1.02 groupby.GroupByMethods.time_dtype_as_group('int', 'ffill', 'direct') + 15.8±0.04ms 16.1±0.02ms 1.02 timeseries.SortIndex.time_sort_index(False) + 5.65±0.07ms 5.77±0.07ms 1.02 index_cached_properties.IndexCache.time_is_all_dates('CategoricalIndex') + 109±0.09ms 111±0.6ms 1.02 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(1000000, 2000, datetime.timezone(datetime.timedelta(seconds=3600))) + 106±0.1ms 108±0.4ms 1.02 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(1000000, 1000, datetime.timezone(datetime.timedelta(seconds=3600))) + 1.38±0.01ms 1.41±0.01ms 1.02 frame_ctor.FromRecords.time_frame_from_records_generator(1000) + 105±0.3ms 108±0.3ms 1.02 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(1000000, 1011, datetime.timezone(datetime.timedelta(seconds=3600))) + 4.30±0.03ms 4.39±0.04ms 1.02 ctors.SeriesConstructors.time_series_constructor(, True, 'float') + 122±0.4ms 125±0.2ms 1.02 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(1000000, 2011, tzfile('/usr/share/zoneinfo/Asia/Tokyo')) + 1.13±0ms 1.16±0.02ms 1.02 tslibs.resolution.TimeResolution.time_get_resolution('D', 10000, tzfile('/usr/share/zoneinfo/Asia/Tokyo')) + 119±0.3ms 122±0.6ms 1.02 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(1000000, 1000, tzfile('/usr/share/zoneinfo/Asia/Tokyo')) + 18.0±0.06ms 18.4±0.07ms 1.02 join_merge.MergeAsof.time_on_int('forward', 5) + 577±2μs 588±2μs 1.02 tslibs.period.TimePeriodArrToDT64Arr.time_periodarray_to_dt64arr(10000, 7000) + 975±20μs 993±10μs 1.02 ctors.SeriesConstructors.time_series_constructor(, False, 'float') + 697±40μs 709±30μs 1.02 index_cached_properties.IndexCache.time_is_monotonic('MultiIndex') + 4.30±0.03ms 4.38±0.04ms 1.02 ctors.SeriesConstructors.time_series_constructor(, True, 'float') + 458±3ms 466±1ms 1.02 hash_functions.NumericSeriesIndexingShuffled.time_loc_slice(, 5000000) + 530±2μs 539±3μs 1.02 groupby.GroupByMethods.time_dtype_as_group('int', 'ffill', 'transformation') + 133±0.4ms 135±0.1ms 1.02 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(1000000, 4006, tzfile('/usr/share/zoneinfo/Asia/Tokyo')) + 4.28±0.04ms 4.35±0.04ms 1.02 ctors.SeriesConstructors.time_series_constructor(, False, 'float') + 12.4±0.07ms 12.6±0.03ms 1.02 index_object.IndexAppend.time_append_range_list + 4.28±0.03ms 4.35±0.04ms 1.02 ctors.SeriesConstructors.time_series_constructor(, False, 'float') + 150±0.3ms 152±0.1ms 1.02 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(1000000, 4000, ) + 98.6±0.1ms 100±4ms 1.02 tslibs.resolution.TimeResolution.time_get_resolution('D', 1000000, datetime.timezone(datetime.timedelta(seconds=3600))) + 1.09±0ms 1.11±0ms 1.02 tslibs.resolution.TimeResolution.time_get_resolution('us', 10000, datetime.timezone(datetime.timedelta(seconds=3600))) + 1.20±0ms 1.22±0ms 1.02 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(10000, 4000, datetime.timezone(datetime.timedelta(seconds=3600))) + 298±0.6ms 303±0.4ms 1.02 index_object.Indexing.time_get_loc_non_unique_sorted('String') + 7.59±0.02ms 7.71±0.01ms 1.02 dtypes.InferDtypes.time_infer_skipna('np-object') + 131±0.2ms 133±0.1ms 1.02 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(1000000, 1011, ) + 119±0.4ms 121±0.3ms 1.02 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(1000000, 1011, tzfile('/usr/share/zoneinfo/Asia/Tokyo')) + 1.30±0ms 1.32±0.01ms 1.02 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(10000, 4000, tzfile('/usr/share/zoneinfo/Asia/Tokyo')) + 1.10±0ms 1.12±0ms 1.02 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(10000, 3000, datetime.timezone(datetime.timedelta(seconds=3600))) + 100.0±0.1ms 102±0.1ms 1.02 tslibs.resolution.TimeResolution.time_get_resolution('m', 1000000, datetime.timezone(datetime.timedelta(seconds=3600))) + 148±0.3ms 150±0.4ms 1.02 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(1000000, 8000, ) + 4.30±0.04ms 4.37±0.05ms 1.02 ctors.SeriesConstructors.time_series_constructor(, True, 'float') + 4.27±0.04ms 4.34±0.04ms 1.01 ctors.SeriesConstructors.time_series_constructor(, False, 'float') + 1.47±0ms 1.49±0ms 1.01 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(10000, 4000, ) + 1.58±0ms 1.60±0.02ms 1.01 arithmetic.OffsetArrayArithmetic.time_add_series_offset() + 1.20±0ms 1.21±0ms 1.01 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(10000, 3000, tzfile('/usr/share/zoneinfo/Asia/Tokyo')) + 100±0.1ms 102±0.03ms 1.01 tslibs.resolution.TimeResolution.time_get_resolution('ns', 1000000, datetime.timezone(datetime.timedelta(seconds=3600))) + 1.45±0ms 1.47±0ms 1.01 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(10000, 8000, ) + 1.11±0ms 1.12±0ms 1.01 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(10000, 2011, datetime.timezone(datetime.timedelta(seconds=3600))) + 4.27±0.03ms 4.33±0.04ms 1.01 ctors.SeriesConstructors.time_series_constructor(, False, 'float') + 1.17±0ms 1.19±0ms 1.01 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(10000, 1000, tzfile('/usr/share/zoneinfo/Asia/Tokyo')) + 1.02±0ms 1.03±0.01ms 1.01 tslibs.resolution.TimeResolution.time_get_resolution('ns', 10000, datetime.timezone(datetime.timedelta(seconds=3600))) + 1.11±0ms 1.12±0ms 1.01 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(10000, 2000, datetime.timezone(datetime.timedelta(seconds=3600))) + 1.32±0ms 1.34±0.01ms 1.01 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(10000, 2000, ) + 149±0.3ms 151±0.2ms 1.01 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(1000000, 11000, ) + 1.32±0ms 1.34±0ms 1.01 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(10000, 2011, ) + 150±0.6ms 152±0.1ms 1.01 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(1000000, 4006, ) + 4.30±0.04ms 4.35±0.04ms 1.01 ctors.SeriesConstructors.time_series_constructor(, True, 'float') + 1.30±0ms 1.32±0ms 1.01 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(10000, 4006, tzfile('/usr/share/zoneinfo/Asia/Tokyo')) + 147±0.4ms 149±0.2ms 1.01 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(1000000, 6000, ) + 99.6±0.06ms 101±0.2ms 1.01 tslibs.resolution.TimeResolution.time_get_resolution('m', 1000000, None) + 3.39±0.02ms 3.43±0.03ms 1.01 ctors.SeriesConstructors.time_series_constructor(, True, 'int') + 116M 117M 1.01 rolling.VariableWindowMethods.peakmem_rolling('DataFrame', '50s', 'float', 'count') + 75.1±0.4ms 75.9±0.2ms 1.01 io.parsers.DoesStringLookLikeDatetime.time_check_datetimes('2Q2005') + 997±1μs 1.01±0ms 1.01 tslibs.resolution.TimeResolution.time_get_resolution('ns', 10000, datetime.timezone.utc) + 109M 110M 1.01 stat_ops.Correlation.peakmem_corr_wide('pearson') - 112M 111M 0.99 rolling.ForwardWindowMethods.peakmem_rolling('DataFrame', 1000, 'float', 'mean') - 112M 111M 0.99 rolling.ForwardWindowMethods.peakmem_rolling('DataFrame', 1000, 'float', 'sum') - 114M 113M 0.99 rolling.Methods.peakmem_rolling('DataFrame', 10, 'float', 'mean') - 114M 113M 0.99 rolling.Methods.peakmem_rolling('DataFrame', 10, 'float', 'kurt') - 116M 115M 0.99 rolling.Methods.peakmem_rolling('DataFrame', 10, 'int', 'std') - 115M 114M 0.99 rolling.Methods.peakmem_rolling('DataFrame', 10, 'int', 'sum') - 115M 114M 0.99 rolling.Methods.peakmem_rolling('DataFrame', 10, 'int', 'skew') - 115M 114M 0.99 rolling.Methods.peakmem_rolling('DataFrame', 10, 'int', 'mean') - 118M 117M 0.99 rolling.VariableWindowMethods.peakmem_rolling('Series', '50s', 'int', 'count') - 115M 114M 0.99 rolling.Methods.peakmem_rolling('DataFrame', 10, 'int', 'kurt') - 1.57±0.08ms 1.55±0.02ms 0.99 ctors.SeriesConstructors.time_series_constructor(, True, 'float') - 3.30±0.01ms 3.26±0ms 0.99 arithmetic.OffsetArrayArithmetic.time_add_series_offset() - 118M 117M 0.99 rolling.VariableWindowMethods.peakmem_rolling('Series', '1d', 'int', 'count') - 118M 117M 0.99 rolling.VariableWindowMethods.peakmem_rolling('Series', '1h', 'int', 'count') - 115M 113M 0.99 rolling.Methods.peakmem_rolling('DataFrame', 10, 'int', 'min') - 115M 113M 0.99 rolling.Methods.peakmem_rolling('DataFrame', 10, 'int', 'max') - 67.2±0.3ms 66.2±0.08ms 0.99 rolling.ForwardWindowMethods.time_rolling('DataFrame', 1000, 'int', 'median') - 22.9±0.1μs 22.5±0.08μs 0.98 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(100, 2011, tzfile('/usr/share/zoneinfo/Asia/Tokyo')) - 551±2ns 542±1ns 0.98 tslibs.period.PeriodProperties.time_property('M', 'daysinmonth') - 6.73±0.01ms 6.62±0.01ms 0.98 tslibs.tslib.TimeIntsToPydatetime.time_ints_to_pydatetime('datetime', 10000, datetime.timezone(datetime.timedelta(seconds=3600))) - 863±4ns 849±2ns 0.98 tslibs.timestamp.TimestampOps.time_to_pydatetime(tzutc()) - 2.35±0s 2.31±0s 0.98 stat_ops.Correlation.time_corr_wide_nans('kendall') - 81.8±0.4μs 80.5±0.3μs 0.98 tslibs.tslib.TimeIntsToPydatetime.time_ints_to_pydatetime('timestamp', 100, datetime.timezone.utc) - 114M 112M 0.98 rolling.Methods.peakmem_rolling('DataFrame', 10, 'float', 'min') - 114M 112M 0.98 rolling.Methods.peakmem_rolling('DataFrame', 10, 'float', 'max') - 5.49±0.03ms 5.40±0.01ms 0.98 tslibs.tslib.TimeIntsToPydatetime.time_ints_to_pydatetime('time', 10000, datetime.timezone(datetime.timedelta(seconds=3600))) - 8.18±0.02ms 8.04±0.02ms 0.98 tslibs.tslib.TimeIntsToPydatetime.time_ints_to_pydatetime('timestamp', 10000, None) - 5.45±0.02ms 5.36±0.01ms 0.98 tslibs.tslib.TimeIntsToPydatetime.time_ints_to_pydatetime('time', 10000, datetime.timezone.utc) - 6.54±0.03ms 6.43±0.02ms 0.98 tslibs.tslib.TimeIntsToPydatetime.time_ints_to_pydatetime('datetime', 10000, datetime.timezone.utc) - 2.99±0.01ms 2.94±0ms 0.98 tslibs.tslib.TimeIntsToPydatetime.time_ints_to_pydatetime('date', 10000, ) - 3.01±0ms 2.95±0ms 0.98 tslibs.tslib.TimeIntsToPydatetime.time_ints_to_pydatetime('date', 10000, None) - 120M 118M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '1d', 'int', 'median') - 3.00±0.02ms 2.94±0.01ms 0.98 tslibs.tslib.TimeIntsToPydatetime.time_ints_to_pydatetime('date', 10000, datetime.timezone(datetime.timedelta(seconds=3600))) - 119M 117M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '1h', 'int', 'median') - 502±4μs 493±2μs 0.98 groupby.GroupByMethods.time_dtype_as_group('int', 'var', 'direct') - 117M 115M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '1h', 'float', 'skew') - 117M 115M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '1d', 'float', 'skew') - 117M 115M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '1d', 'float', 'kurt') - 117M 115M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '1h', 'float', 'kurt') - 21.6±0.09μs 21.2±0.5μs 0.98 tslibs.resolution.TimeResolution.time_get_resolution('ns', 100, ) - 117M 115M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '50s', 'float', 'kurt') - 117M 115M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '1h', 'float', 'min') - 117M 115M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '1h', 'float', 'max') - 119M 117M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '50s', 'int', 'median') - 119M 116M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '50s', 'float', 'median') - 175±0.6ms 171±1ms 0.98 index_cached_properties.IndexCache.time_is_monotonic_decreasing('IntervalIndex') - 119M 117M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '1d', 'float', 'median') - 118M 116M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '50s', 'int', 'kurt') - 118M 116M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '50s', 'int', 'skew') - 168±0.8ms 165±0.8ms 0.98 index_cached_properties.IndexCache.time_engine('IntervalIndex') - 118M 116M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '1h', 'float', 'median') - 118M 116M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '1d', 'int', 'skew') - 117M 115M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '50s', 'float', 'skew') - 118M 116M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '1d', 'int', 'kurt') - 118M 116M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '1h', 'int', 'kurt') - 118M 116M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '50s', 'float', 'std') - 119M 117M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '50s', 'int', 'std') - 15.1±0.07ms 14.8±0.06ms 0.98 stat_ops.Correlation.time_corrwith_cols('spearman') - 118M 116M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '1d', 'float', 'std') - 118M 116M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '1h', 'int', 'skew') - 119M 117M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '1d', 'int', 'std') - 117M 115M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '50s', 'float', 'sum') - 118M 116M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '1h', 'float', 'std') - 119M 117M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '1h', 'int', 'std') - 117M 115M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '50s', 'float', 'mean') - 117M 115M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '1d', 'float', 'mean') - 118M 116M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '1d', 'int', 'sum') - 118M 116M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '1h', 'int', 'mean') - 117M 115M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '1d', 'float', 'sum') - 117M 115M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '1h', 'float', 'sum') - 118M 116M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '1d', 'int', 'mean') - 118M 116M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '50s', 'int', 'sum') - 118M 116M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '1d', 'int', 'min') - 118M 116M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '50s', 'int', 'mean') - 8.24±0.03ms 8.07±0.02ms 0.98 tslibs.tslib.TimeIntsToPydatetime.time_ints_to_pydatetime('timestamp', 10000, datetime.timezone.utc) - 117M 115M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '1d', 'float', 'min') - 118M 116M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '1h', 'int', 'sum') - 118M 116M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '50s', 'int', 'min') - 118M 116M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '50s', 'int', 'max') - 117M 115M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '1h', 'float', 'mean') - 118M 116M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '1h', 'int', 'min') - 118M 115M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '1d', 'float', 'max') - 118M 116M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '1d', 'int', 'max') - 117M 115M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '50s', 'float', 'max') - 117M 115M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '50s', 'float', 'min') - 118M 116M 0.98 rolling.VariableWindowMethods.peakmem_rolling('Series', '1h', 'int', 'max') - 203M 199M 0.98 io.json.ToJSON.peakmem_to_json_wide('columns', 'df_int_float_str') - 16.4±0.1ms 16.1±0.08ms 0.98 join_merge.Concat.time_concat_small_frames(1) - 6.43±0.03ms 6.28±0.05ms 0.98 hash_functions.IsinWithArange.time_isin(, 8000, 0) - 18.2±0.1ms 17.8±0.03ms 0.98 join_merge.MergeAsof.time_on_uint64('forward', 5) - 197M 193M 0.98 io.json.ToJSON.peakmem_to_json_wide('columns', 'df_td_int_ts') - 318M 311M 0.98 frame_methods.Iteration.peakmem_itertuples_start - 318M 311M 0.98 frame_methods.Iteration.peakmem_itertuples - 870±3ns 850±3ns 0.98 tslibs.timestamp.TimestampOps.time_to_pydatetime() - 169±0.5ms 165±0.9ms 0.98 index_cached_properties.IndexCache.time_is_monotonic('IntervalIndex') - 9.48±0.05ms 9.26±0.02ms 0.98 stat_ops.Correlation.time_corrwith_cols('kendall') - 55.9±0.4ms 54.5±0.1ms 0.98 rolling.Quantile.time_quantile('DataFrame', 1000, 'int', 0.5, 'nearest') - 193M 189M 0.98 io.json.ToJSON.peakmem_to_json_wide('index', 'df_int_float_str') - 193M 189M 0.98 io.json.ToJSON.peakmem_to_json_wide('records', 'df_int_float_str') - 169±0.7ms 165±0.7ms 0.98 index_cached_properties.IndexCache.time_is_monotonic_increasing('IntervalIndex') - 16.8±0.06ms 16.4±0.09ms 0.98 join_merge.MergeAsof.time_on_uint64('backward', 5) - 187M 183M 0.98 io.json.ToJSON.peakmem_to_json_wide('records', 'df_td_int_ts') - 187M 183M 0.98 io.json.ToJSON.peakmem_to_json_wide('index', 'df_td_int_ts') - 140±1μs 137±1μs 0.97 tslibs.offsets.OffestDatetimeArithmetic.time_subtract_10() - 193±0.5ms 188±0.4ms 0.97 tslibs.period.TimePeriodArrToDT64Arr.time_periodarray_to_dt64arr(1000000, 2000) - 434±4ns 423±0.7ns 0.97 tslibs.timestamp.TimestampProperties.time_dayofyear(tzfile('/usr/share/zoneinfo/US/Central'), 'B') - 55.7±0.3ms 54.2±0.2ms 0.97 strings.Methods.time_match - 181M 176M 0.97 io.json.ToJSON.peakmem_to_json_wide('split', 'df_int_float_str') - 6.28±0.08ms 6.12±0.02ms 0.97 hash_functions.IsinWithArange.time_isin(, 2000, 0) - 196M 191M 0.97 io.json.ToJSON.peakmem_to_json_wide('columns', 'df_date_idx') - 116M 113M 0.97 rolling.ForwardWindowMethods.peakmem_rolling('Series', 10, 'int', 'median') - 181M 176M 0.97 io.json.ToJSON.peakmem_to_json_wide('values', 'df_int_float_str') - 188M 183M 0.97 io.json.ToJSON.peakmem_to_json_wide('index', 'df') - 188M 183M 0.97 io.json.ToJSON.peakmem_to_json_wide('records', 'df') - 188M 183M 0.97 io.json.ToJSON.peakmem_to_json_wide('index', 'df_date_idx') - 188M 183M 0.97 io.json.ToJSON.peakmem_to_json_wide('records', 'df_date_idx') - 187M 181M 0.97 io.json.ToJSON.peakmem_to_json_wide('columns', 'df') - 175M 170M 0.97 io.json.ToJSON.peakmem_to_json_wide('split', 'df_td_int_ts') - 175M 170M 0.97 io.json.ToJSON.peakmem_to_json_wide('values', 'df_td_int_ts') - 22.3±0.09ms 21.7±0.1ms 0.97 join_merge.MergeAsof.time_on_uint64('nearest', None) - 115M 112M 0.97 rolling.ForwardWindowMethods.peakmem_rolling('Series', 10, 'float', 'median') - 4.60±0.05μs 4.47±0.02μs 0.97 categoricals.Contains.time_categorical_index_contains - 380±3ns 370±2ns 0.97 tslibs.timestamp.TimestampOps.time_tz_localize(tzutc()) - 194±0.9ms 188±0.1ms 0.97 tslibs.period.TimePeriodArrToDT64Arr.time_periodarray_to_dt64arr(1000000, 2011) - 6.08±0.02ms 5.89±0.03ms 0.97 tslibs.offsets.OnOffset.time_on_offset() - 66.3±0.5ms 64.3±0.1ms 0.97 rolling.Quantile.time_quantile('DataFrame', 1000, 'int', 0.5, 'midpoint') - 15.2±0.2μs 14.8±0.2μs 0.97 tslibs.offsets.OffestDatetimeArithmetic.time_apply_np_dt64() - 178±0.8μs 172±0.6μs 0.97 tslibs.offsets.OffestDatetimeArithmetic.time_apply() - 177M 172M 0.97 io.json.ToJSON.peakmem_to_json_wide('split', 'df') - 177M 172M 0.97 io.json.ToJSON.peakmem_to_json_wide('values', 'df') - 177M 172M 0.97 io.json.ToJSON.peakmem_to_json_wide('split', 'df_date_idx') - 1.79±0.01s 1.73±0.01s 0.97 groupby.GroupByMethods.time_dtype_as_field('float', 'describe', 'direct') - 177M 172M 0.97 io.json.ToJSON.peakmem_to_json_wide('values', 'df_date_idx') - 4.75±0.02ms 4.61±0.02ms 0.97 io.csv.ReadCSVFloatPrecision.time_read_csv_python_engine(';', '_', 'high') - 310±4ms 301±1ms 0.97 arithmetic.OffsetArrayArithmetic.time_add_dti_offset() - 317±4ms 307±2ms 0.97 arithmetic.OffsetArrayArithmetic.time_add_series_offset() - 196±2μs 189±0.9μs 0.97 tslibs.offsets.OffestDatetimeArithmetic.time_add_10() - 5.05±0.7ms 4.89±0.03ms 0.97 rolling.VariableWindowMethods.time_rolling('DataFrame', '50s', 'int', 'skew') - 20.7±0.08μs 20.0±0.06μs 0.97 tslibs.resolution.TimeResolution.time_get_resolution('h', 100, tzfile('/usr/share/zoneinfo/Asia/Tokyo')) - 115M 111M 0.97 rolling.ForwardWindowMethods.peakmem_rolling('Series', 1000, 'float', 'median') - 3.31±0.01ms 3.20±0.02ms 0.97 arithmetic.ApplyIndex.time_apply_index() - 98.8±0.5ms 95.6±0.6ms 0.97 rolling.Quantile.time_quantile('Series', 1000, 'float', 0.5, 'linear') - 56.2±0.5ms 54.4±0.1ms 0.97 rolling.Quantile.time_quantile('DataFrame', 1000, 'int', 0.5, 'lower') - 4.78±0.02ms 4.62±0.02ms 0.97 io.csv.ReadCSVFloatPrecision.time_read_csv_python_engine(';', '_', None) - 138±0.4ms 133±0.4ms 0.97 hash_functions.IsinWithArange.time_isin(, 8000, 2) - 10.2±0.2μs 9.82±0.1μs 0.97 tslibs.timestamp.TimestampProperties.time_weekday_name(datetime.timezone(datetime.timedelta(seconds=3600)), None) - 91.6±0.4ms 88.5±0.4ms 0.97 rolling.Quantile.time_quantile('Series', 1000, 'float', 0.5, 'nearest') - 117M 113M 0.97 rolling.Methods.peakmem_rolling('Series', 1000, 'int', 'kurt') - 116M 112M 0.97 rolling.ForwardWindowMethods.peakmem_rolling('Series', 10, 'int', 'kurt') - 204M 197M 0.97 io.json.ToJSON.peakmem_to_json_wide('columns', 'df_int_floats') - 117M 113M 0.97 rolling.Methods.peakmem_rolling('Series', 1000, 'float', 'median') - 115M 111M 0.97 rolling.ForwardWindowMethods.peakmem_rolling('Series', 10, 'int', 'max') - 115M 111M 0.97 rolling.ForwardWindowMethods.peakmem_rolling('Series', 10, 'int', 'min') - 116M 112M 0.97 rolling.ForwardWindowMethods.peakmem_rolling('Series', 10, 'int', 'mean') - 116M 112M 0.97 rolling.ForwardWindowMethods.peakmem_rolling('Series', 10, 'int', 'sum') - 116M 112M 0.97 rolling.Methods.peakmem_rolling('Series', 1000, 'float', 'skew') - 116M 112M 0.97 rolling.Methods.peakmem_rolling('Series', 1000, 'float', 'sum') - 116M 112M 0.97 rolling.ForwardWindowMethods.peakmem_rolling('Series', 1000, 'int', 'median') - 1.79±0.04s 1.73±0s 0.97 groupby.GroupByMethods.time_dtype_as_field('float', 'describe', 'transformation') - 117M 113M 0.97 rolling.Methods.peakmem_rolling('Series', 1000, 'int', 'skew') - 372±0.7ms 359±2ms 0.97 series_methods.IsInLongSeriesValuesDominate.time_isin('int64', 'monotone') - 115M 111M 0.97 rolling.ForwardWindowMethods.peakmem_rolling('Series', 10, 'float', 'kurt') - 2.01±0.01μs 1.94±0.02μs 0.97 tslibs.resolution.TimeResolution.time_get_resolution('ns', 1, None) - 11.1±0.5μs 10.7±0.3μs 0.97 index_cached_properties.IndexCache.time_engine('Float64Index') - 117M 113M 0.97 rolling.Methods.peakmem_rolling('Series', 1000, 'float', 'std') - 115M 111M 0.97 rolling.ForwardWindowMethods.peakmem_rolling('Series', 10, 'float', 'mean') - 114M 110M 0.97 rolling.ForwardWindowMethods.peakmem_rolling('Series', 10, 'float', 'max') - 94.6±0.3ms 91.3±0.3ms 0.97 rolling.VariableWindowMethods.time_rolling('DataFrame', '1h', 'float', 'median') - 29.2±0.1ms 28.2±0.2ms 0.97 io.csv.ToCSV.time_frame('mixed') - 118M 114M 0.97 rolling.Methods.peakmem_rolling('Series', 1000, 'int', 'median') - 114M 110M 0.97 rolling.ForwardWindowMethods.peakmem_rolling('Series', 10, 'float', 'min') - 116M 112M 0.97 rolling.Methods.peakmem_rolling('Series', 1000, 'float', 'kurt') - 116M 112M 0.97 rolling.Methods.peakmem_rolling('Series', 1000, 'float', 'mean') - 115M 111M 0.97 rolling.ForwardWindowMethods.peakmem_rolling('Series', 10, 'float', 'sum') - 117M 113M 0.96 rolling.Methods.peakmem_rolling('Series', 1000, 'int', 'mean') - 194M 187M 0.96 io.json.ToJSON.peakmem_to_json_wide('records', 'df_int_floats') - 194M 187M 0.96 io.json.ToJSON.peakmem_to_json_wide('index', 'df_int_floats') - 118M 114M 0.96 rolling.Methods.peakmem_rolling('Series', 1000, 'int', 'std') - 5.78±0.03μs 5.58±0.03μs 0.96 dtypes.InferDtypes.time_infer('np-floating') - 11.4±0.1μs 11.0±0.08μs 0.96 tslibs.tslib.TimeIntsToPydatetime.time_ints_to_pydatetime('timestamp', 0, datetime.timezone(datetime.timedelta(seconds=3600))) - 4.80±0.02ms 4.63±0.01ms 0.96 io.csv.ReadCSVFloatPrecision.time_read_csv_python_engine(',', '_', 'high') - 117M 113M 0.96 rolling.Methods.peakmem_rolling('Series', 1000, 'int', 'sum') - 72.3±0.4ms 69.7±0.5ms 0.96 io.csv.ToCSVDatetimeBig.time_frame(10000) - 2.06±0.01s 1.99±0.01s 0.96 frame_methods.Iteration.time_itertuples_to_list - 15.4±0.1μs 14.8±0.05μs 0.96 tslibs.offsets.OffestDatetimeArithmetic.time_apply_np_dt64() - 117M 113M 0.96 rolling.Methods.peakmem_rolling('Series', 1000, 'int', 'min') - 43.1±0.3ms 41.5±0.3ms 0.96 rolling.ForwardWindowMethods.time_rolling('DataFrame', 10, 'float', 'median') - 98.7±0.3ms 95.0±0.5ms 0.96 rolling.Quantile.time_quantile('Series', 1000, 'float', 0.5, 'midpoint') - 161±1μs 155±1μs 0.96 tslibs.offsets.OffestDatetimeArithmetic.time_subtract_10() - 117M 113M 0.96 rolling.Methods.peakmem_rolling('Series', 1000, 'int', 'max') - 3.80±0.2μs 3.66±0.2μs 0.96 index_cached_properties.IndexCache.time_inferred_type('UInt64Index') - 407±3ms 392±0.3ms 0.96 index_object.Indexing.time_get_loc('String') - 129±2ms 124±0.6ms 0.96 rolling.VariableWindowMethods.time_rolling('Series', '1d', 'int', 'median') - 91.9±0.1ms 88.4±0.4ms 0.96 rolling.Quantile.time_quantile('Series', 1000, 'float', 0.5, 'lower') - 2.96±0.8ms 2.85±0.02ms 0.96 rolling.Quantile.time_quantile('DataFrame', 1000, 'int', 0, 'linear') - 44.6±0.2ms 42.9±0.5ms 0.96 rolling.VariableWindowMethods.time_rolling('Series', '50s', 'int', 'median') - 138M 132M 0.96 io.pickle.Pickle.peakmem_write_pickle - 182M 175M 0.96 io.json.ToJSON.peakmem_to_json_wide('split', 'df_int_floats') - 116M 112M 0.96 rolling.Methods.peakmem_rolling('Series', 1000, 'float', 'max') - 116M 112M 0.96 rolling.Methods.peakmem_rolling('Series', 1000, 'float', 'min') - 182M 175M 0.96 io.json.ToJSON.peakmem_to_json_wide('values', 'df_int_floats') - 116M 111M 0.96 rolling.ForwardWindowMethods.peakmem_rolling('Series', 1000, 'int', 'kurt') - 56.6±0.4ms 54.4±0.5ms 0.96 reshape.Cut.time_cut_int(1000) - 92.2±0.3ms 88.5±0.2ms 0.96 rolling.Quantile.time_quantile('Series', 1000, 'float', 0.5, 'higher') - 15.2±0.06μs 14.6±0.3μs 0.96 tslibs.offsets.OffestDatetimeArithmetic.time_add() - 118M 113M 0.96 rolling.Methods.peakmem_rolling('Series', 10, 'float', 'median') - 7.48±0.04μs 7.18±0.1μs 0.96 tslibs.normalize.Normalize.time_is_date_array_normalized(0, tzfile('/usr/share/zoneinfo/Asia/Tokyo')) - 179±1μs 171±1μs 0.96 tslibs.offsets.OffestDatetimeArithmetic.time_apply_np_dt64() - 9.99±0.04μs 9.58±0.09μs 0.96 tslibs.timestamp.TimestampProperties.time_month_name(, None) - 116±0.3μs 111±0.9μs 0.96 tslibs.offsets.OffestDatetimeArithmetic.time_apply() - 10.2±0.1μs 9.81±0.08μs 0.96 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(0, 6000, ) - 2.96±0.8ms 2.84±0.01ms 0.96 rolling.Quantile.time_quantile('DataFrame', 1000, 'int', 0, 'nearest') - 1.61±0.01s 1.55±0.02s 0.96 frame_methods.Iteration.time_itertuples - 186±1μs 179±1μs 0.96 stat_ops.SeriesOps.time_op('mean', 'int') - 9.93±0.08μs 9.53±0.03μs 0.96 tslibs.timestamp.TimestampProperties.time_month_name(None, 'B') - 10.3±0.1μs 9.86±0.08μs 0.96 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(0, 1000, ) - 145M 139M 0.96 io.pickle.Pickle.peakmem_read_pickle - 117M 112M 0.96 rolling.Methods.peakmem_rolling('Series', 10, 'float', 'skew') - 117M 112M 0.96 rolling.Methods.peakmem_rolling('Series', 10, 'float', 'sum') - 3.70±0.2μs 3.55±0.2μs 0.96 index_cached_properties.IndexCache.time_values('UInt64Index') - 166±0.4μs 159±0.4μs 0.96 series_methods.NanOps.time_func('median', 1000, 'Int64') - 4.21±0.01ms 4.04±0.02ms 0.96 io.csv.ReadCSVCachedParseDates.time_read_csv_cached(True, 'python') - 118M 113M 0.96 rolling.Methods.peakmem_rolling('Series', 10, 'float', 'std') - 117M 112M 0.96 rolling.Methods.peakmem_rolling('Series', 10, 'float', 'mean') - 117M 112M 0.96 rolling.Methods.peakmem_rolling('Series', 10, 'float', 'kurt') - 164±0.8μs 157±0.7μs 0.96 period.DataFramePeriodColumn.time_setitem_period_column - 119M 114M 0.96 rolling.Methods.peakmem_rolling('Series', 10, 'int', 'std') - 118M 113M 0.96 rolling.Methods.peakmem_rolling('Series', 10, 'int', 'kurt') - 114M 109M 0.96 rolling.ForwardWindowMethods.peakmem_rolling('Series', 1000, 'float', 'max') - 185±3μs 177±1μs 0.96 tslibs.offsets.OffestDatetimeArithmetic.time_subtract() - 250±2μs 239±1μs 0.96 series_methods.NanOps.time_func('sem', 1000, 'int32') - 115M 110M 0.96 rolling.ForwardWindowMethods.peakmem_rolling('Series', 1000, 'int', 'min') - 118M 113M 0.96 rolling.Methods.peakmem_rolling('Series', 10, 'int', 'skew') - 115M 110M 0.96 rolling.ForwardWindowMethods.peakmem_rolling('Series', 1000, 'int', 'max') - 114M 109M 0.96 rolling.ForwardWindowMethods.peakmem_rolling('Series', 1000, 'float', 'min') - 118M 113M 0.96 rolling.Methods.peakmem_rolling('Series', 10, 'int', 'mean') - 252±1μs 241±3μs 0.96 series_methods.NanOps.time_func('sem', 1000, 'int8') - 119M 114M 0.96 rolling.Methods.peakmem_rolling('Series', 10, 'int', 'median') - 118M 113M 0.96 rolling.Methods.peakmem_rolling('Series', 10, 'int', 'sum') - 10.3±0.08μs 9.81±0.1μs 0.96 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(0, 4006, ) - 118M 113M 0.96 rolling.Methods.peakmem_rolling('Series', 10, 'int', 'min') - 10.2±0.06μs 9.77±0.1μs 0.96 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(0, 3000, ) - 118M 113M 0.96 rolling.Methods.peakmem_rolling('Series', 10, 'int', 'max') - 10.2±0.08μs 9.76±0.2μs 0.95 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(1, 2000, ) - 73.9±0.2ms 70.6±0.3ms 0.95 index_object.SetOperations.time_operation('strings', 'intersection') - 10.2±0.2μs 9.73±0.04μs 0.95 tslibs.timestamp.TimestampProperties.time_weekday_name(tzlocal(), None) - 3.78±0.06μs 3.61±0.03μs 0.95 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(0, 2000, None) - 4.95±0.04μs 4.72±0.03μs 0.95 tslibs.timedelta.TimedeltaConstructor.time_from_np_timedelta - 10.5±0.06μs 10.0±0.09μs 0.95 tslibs.timestamp.TimestampProperties.time_month_name(tzfile('/usr/share/zoneinfo/US/Central'), 'B') - 10.2±0.1μs 9.75±0.1μs 0.95 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(1, 2011, ) - 115M 110M 0.95 rolling.ForwardWindowMethods.peakmem_rolling('Series', 1000, 'float', 'kurt') - 3.49±0.02μs 3.32±0.09μs 0.95 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(0, 10000, datetime.timezone.utc) - 91.0±0.6ms 86.8±0.4ms 0.95 replace.Convert.time_replace('Series', 'Timedelta') - 116M 110M 0.95 rolling.ForwardWindowMethods.peakmem_rolling('Series', 1000, 'int', 'mean') - 443±10ns 422±2ns 0.95 tslibs.timestamp.TimestampProperties.time_dayofyear(tzfile('/usr/share/zoneinfo/US/Central'), None) - 116M 110M 0.95 rolling.ForwardWindowMethods.peakmem_rolling('Series', 1000, 'int', 'sum') - 115M 109M 0.95 rolling.ForwardWindowMethods.peakmem_rolling('Series', 1000, 'float', 'mean') - 101±0.6ms 95.9±0.3ms 0.95 rolling.Methods.time_rolling('Series', 1000, 'float', 'median') - 10.2±0.1μs 9.76±0.05μs 0.95 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(0, 5000, ) - 5.71±0.05ms 5.44±0.03ms 0.95 rolling.Engine.time_rolling_apply('Series', 'float', , 'cython') - 115M 109M 0.95 rolling.ForwardWindowMethods.peakmem_rolling('Series', 1000, 'float', 'sum') - 3.00±0.8ms 2.86±0.02ms 0.95 rolling.Quantile.time_quantile('DataFrame', 1000, 'int', 0, 'midpoint') - 95.6±0.3ms 91.0±0.2ms 0.95 rolling.VariableWindowMethods.time_rolling('Series', '1h', 'float', 'median') - 3.02±0.8ms 2.87±0.03ms 0.95 rolling.Quantile.time_quantile('DataFrame', 1000, 'int', 1, 'nearest') - 2.03±0.03μs 1.93±0.02μs 0.95 tslibs.resolution.TimeResolution.time_get_resolution('h', 1, None) - 10.9±0.1μs 10.3±0.1μs 0.95 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(0, 9000, tzfile('/usr/share/zoneinfo/Asia/Tokyo')) - 10.2±0.07μs 9.75±0.1μs 0.95 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(1, 3000, ) - 120M 114M 0.95 rolling.Methods.peakmem_rolling('Series', 1000, 'float', 'count') - 117M 111M 0.95 rolling.Methods.peakmem_rolling('Series', 10, 'float', 'max') - 8.15±0.02ms 7.75±0.03ms 0.95 io.csv.ToCSVDatetimeBig.time_frame(1000) - 117M 111M 0.95 rolling.Methods.peakmem_rolling('Series', 10, 'float', 'min') - 10.1±0.08μs 9.60±0.04μs 0.95 tslibs.timestamp.TimestampProperties.time_weekday_name(tzfile('/usr/share/zoneinfo/US/Central'), 'B') - 16.7±0.4ms 15.9±0.8ms 0.95 stat_ops.FrameOps.time_op('std', 'float', 1) - 15.3±0.1μs 14.5±0.3μs 0.95 tslibs.offsets.OffestDatetimeArithmetic.time_apply_np_dt64() - 11.6±0.2μs 11.0±0.1μs 0.95 tslibs.tslib.TimeIntsToPydatetime.time_ints_to_pydatetime('time', 1, tzfile('/usr/share/zoneinfo/Asia/Tokyo')) - 5.69±0.04ms 5.41±0.03ms 0.95 io.csv.ReadCSVFloatPrecision.time_read_csv_python_engine(',', '.', None) - 1.59±0.01ms 1.51±0.01ms 0.95 io.parsers.ConcatDateCols.time_check_concat(1234567890, 1) - 38.4±0.3ms 36.5±0.5ms 0.95 rolling.ForwardWindowMethods.time_rolling('Series', 10, 'int', 'median') - 10.7±0.04μs 10.2±0.3μs 0.95 tslibs.resolution.TimeResolution.time_get_resolution('us', 1, datetime.timezone(datetime.timedelta(seconds=3600))) - 10.5±0.04μs 9.96±0.09μs 0.95 tslibs.timestamp.TimestampProperties.time_month_name(datetime.timezone(datetime.timedelta(seconds=3600)), 'B') - 287±3μs 273±4μs 0.95 series_methods.NanOps.time_func('sem', 1000, 'boolean') - 125±0.9μs 119±2μs 0.95 series_methods.NanOps.time_func('skew', 1000, 'float64') - 8.96±0.05μs 8.50±0.2μs 0.95 tslibs.resolution.TimeResolution.time_get_resolution('ns', 1, ) - 1.69±0.02μs 1.61±0.01μs 0.95 attrs_caching.SeriesArrayAttribute.time_array('datetime64') - 4.32±0.01ms 4.10±0.06ms 0.95 rolling.Apply.time_rolling('Series', 300, 'int', , True) - 2.43±0.01ms 2.31±0.02ms 0.95 rolling.ExpandingMethods.time_expanding('DataFrame', 'int', 'mean') - 3.03±0.8ms 2.88±0.01ms 0.95 rolling.Quantile.time_quantile('DataFrame', 1000, 'int', 1, 'lower') - 11.0±0.05μs 10.4±0.1μs 0.95 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(0, 2011, tzfile('/usr/share/zoneinfo/Asia/Tokyo')) - 69.6±0.1ms 66.0±0.3ms 0.95 rolling.ForwardWindowMethods.time_rolling('Series', 1000, 'int', 'median') - 5.73±0.07ms 5.44±0.04ms 0.95 io.csv.ReadCSVFloatPrecision.time_read_csv_python_engine(';', '.', None) - 5.73±0.04ms 5.44±0.03ms 0.95 io.csv.ReadCSVFloatPrecision.time_read_csv_python_engine(',', '.', 'high') - 10.3±0.1μs 9.77±0.1μs 0.95 tslibs.normalize.Normalize.time_normalize_i8_timestamps(1, ) - 33.2±0.2μs 31.4±0.2μs 0.95 indexing.NumericSeriesIndexing.time_loc_scalar(, 'unique_monotonic_inc') - 10.8±0.1μs 10.2±0.06μs 0.95 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(0, 7000, tzfile('/usr/share/zoneinfo/Asia/Tokyo')) - 5.73±0.04ms 5.43±0.02ms 0.95 io.csv.ReadCSVFloatPrecision.time_read_csv_python_engine(';', '.', 'high') - 8.19±0.04μs 7.76±0.07μs 0.95 series_methods.SearchSorted.time_searchsorted('float64') - 2.60±0.02ms 2.46±0.1ms 0.95 rolling.Apply.time_rolling('Series', 3, 'float', , True) - 95.1±0.7μs 90.0±0.6μs 0.95 indexing.NumericSeriesIndexing.time_getitem_scalar(, 'unique_monotonic_inc') - 44.0±0.3ms 41.7±0.2ms 0.95 rolling.Quantile.time_quantile('DataFrame', 10, 'float', 0.5, 'linear') - 736±9ms 697±4ms 0.95 io.csv.ToCSVDatetimeBig.time_frame(100000) - 15.2±0.3μs 14.4±0.3μs 0.95 tslibs.offsets.OffestDatetimeArithmetic.time_apply() - 120M 114M 0.95 rolling.Methods.peakmem_rolling('Series', 1000, 'int', 'count') - 99.3±0.3ms 94.0±0.6ms 0.95 rolling.Methods.time_rolling('Series', 1000, 'int', 'median') - 119±2μs 112±0.5μs 0.95 tslibs.offsets.OffestDatetimeArithmetic.time_apply_np_dt64() - 10.3±0.09μs 9.72±0.1μs 0.95 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(0, 7000, ) - 2.03±0.02μs 1.92±0.02μs 0.95 tslibs.resolution.TimeResolution.time_get_resolution('m', 1, None) - 9.54±0.09μs 9.02±0.1μs 0.95 tslibs.resolution.TimeResolution.time_get_resolution('s', 1, tzfile('/usr/share/zoneinfo/Asia/Tokyo')) - 138±0.8μs 131±0.6μs 0.95 stat_ops.SeriesOps.time_op('sum', 'int') - 9.73±0.2μs 9.20±0.2μs 0.95 tslibs.timestamp.TimestampProperties.time_weekday_name(, None) - 187±0.5μs 177±1μs 0.95 series_methods.NanOps.time_func('median', 1000, 'float64') - 3.03±0.8ms 2.86±0.02ms 0.94 rolling.Quantile.time_quantile('DataFrame', 1000, 'int', 1, 'midpoint') - 10.2±0.07μs 9.63±0.07μs 0.94 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(1, 7000, ) - 2.04±0.02μs 1.93±0.02μs 0.94 tslibs.resolution.TimeResolution.time_get_resolution('s', 1, None) - 9.69±0.1μs 9.15±0.05μs 0.94 tslibs.timestamp.TimestampProperties.time_weekday_name(, 'B') - 3.02±0.8ms 2.86±0.02ms 0.94 rolling.Quantile.time_quantile('DataFrame', 1000, 'int', 1, 'higher') - 43.4±0.6ms 41.0±0.3ms 0.94 rolling.Methods.time_rolling('DataFrame', 10, 'float', 'median') - 121M 114M 0.94 rolling.Methods.peakmem_rolling('Series', 10, 'float', 'count') - 10.9±0.06μs 10.3±0.09μs 0.94 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(0, 1000, tzfile('/usr/share/zoneinfo/Asia/Tokyo')) - 5.05±0.7ms 4.77±0.02ms 0.94 rolling.VariableWindowMethods.time_rolling('DataFrame', '1d', 'int', 'skew') - 37.9±0.3ms 35.7±0.3ms 0.94 rolling.Quantile.time_quantile('DataFrame', 10, 'int', 0.5, 'linear') - 15.5±0.2μs 14.6±0.3μs 0.94 tslibs.offsets.OffestDatetimeArithmetic.time_add() - 15.1±0.2μs 14.2±0.1μs 0.94 tslibs.offsets.OffestDatetimeArithmetic.time_apply() - 40.8±0.4ms 38.5±0.3ms 0.94 rolling.Quantile.time_quantile('DataFrame', 10, 'float', 0.5, 'nearest') - 10.3±0.04μs 9.68±0.2μs 0.94 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(0, 2011, ) - 10.9±0.08μs 10.3±0.05μs 0.94 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(0, 12000, tzfile('/usr/share/zoneinfo/Asia/Tokyo')) - 121M 114M 0.94 rolling.Methods.peakmem_rolling('Series', 10, 'int', 'count') - 10.2±0.06μs 9.62±0.07μs 0.94 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(0, 11000, ) - 6.10±0.03ms 5.74±0.03ms 0.94 rolling.Engine.time_expanding_apply('Series', 'int', , 'cython') - 9.64±0.06μs 9.08±0.2μs 0.94 tslibs.timestamp.TimestampProperties.time_weekday_name(None, None) - 6.74±0.06ms 6.35±0.03ms 0.94 rolling.Engine.time_rolling_apply('Series', 'float', at 0x7f277d8de310>, 'cython') - 44.3±0.4ms 41.7±0.2ms 0.94 rolling.Quantile.time_quantile('DataFrame', 10, 'float', 0.5, 'midpoint') - 5.76±0.1ms 5.42±0.02ms 0.94 io.csv.ReadCSVFloatPrecision.time_read_csv_python_engine(',', '.', 'round_trip') - 3.26±0.02ms 3.07±0.02ms 0.94 io.csv.ReadCSVParseDates.time_multiple_date('python') - 6.10±0.04ms 5.74±0.06ms 0.94 rolling.Engine.time_expanding_apply('Series', 'float', , 'cython') - 38.0±0.4ms 35.8±1ms 0.94 stat_ops.FrameOps.time_op('median', 'float', 1) - 21.1±0.3μs 19.9±0.3μs 0.94 indexing.NumericSeriesIndexing.time_getitem_scalar(, 'unique_monotonic_inc') - 5.10±0.06ms 4.80±0.09ms 0.94 ctors.SeriesConstructors.time_series_constructor(, False, 'int') - 117±0.9μs 110±1μs 0.94 series_methods.NanOps.time_func('var', 1000, 'float64') - 1.84±0.05ms 1.73±0.01ms 0.94 reshape.Explode.time_explode(1000, 3) - 3.86±0.02ms 3.63±0.03ms 0.94 index_cached_properties.IndexCache.time_is_unique('DatetimeIndex') - 3.15±0.04μs 2.96±0.03μs 0.94 tslibs.timestamp.TimestampConstruction.time_parse_now - 71.3±1ms 67.0±1ms 0.94 io.csv.ReadCSVCategorical.time_convert_post('c') - 41.0±0.4ms 38.4±0.2ms 0.94 rolling.Quantile.time_quantile('DataFrame', 10, 'float', 0.5, 'lower') - 1.36±0.02ms 1.28±0.01ms 0.94 arithmetic.NumericInferOps.time_divide() - 110±0.6μs 103±0.9μs 0.94 indexing.NumericSeriesIndexing.time_loc_scalar(, 'unique_monotonic_inc') - 10.9±0.03μs 10.2±0.09μs 0.94 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(0, 3000, tzfile('/usr/share/zoneinfo/Asia/Tokyo')) - 9.91±0.1μs 9.29±0.1μs 0.94 tslibs.timestamp.TimestampProperties.time_weekday_name(tzutc(), 'B') - 9.88±0.1μs 9.26±0.2μs 0.94 tslibs.timestamp.TimestampProperties.time_weekday_name(tzutc(), None) - 3.85±0.06μs 3.61±0.01μs 0.94 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(1, 1011, None) - 2.57±0.04ms 2.41±0.1ms 0.94 rolling.Apply.time_rolling('Series', 3, 'int', , True) - 11.0±0.05μs 10.3±0.2μs 0.94 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(1, 2000, tzfile('/usr/share/zoneinfo/Asia/Tokyo')) - 41.6±0.5ms 38.9±0.3ms 0.94 rolling.Quantile.time_quantile('DataFrame', 10, 'float', 0.5, 'higher') - 143±0.7ms 134±0.2ms 0.94 rolling.Apply.time_rolling('Series', 3, 'float', , False) - 10.4±0.2μs 9.69±0.03μs 0.94 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(1, 4000, ) - 10.3±0.1μs 9.61±0.2μs 0.93 tslibs.timestamp.TimestampProperties.time_weekday_name(datetime.timezone(datetime.timedelta(seconds=3600)), 'B') - 10.8±0.2μs 10.1±0.2μs 0.93 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(1, 4000, tzfile('/usr/share/zoneinfo/Asia/Tokyo')) - 16.5±0.4ms 15.4±0.1ms 0.93 reshape.PivotTable.time_pivot_table_categorical - 143±0.8ms 134±0.7ms 0.93 rolling.Apply.time_rolling('Series', 3, 'int', , False) - 1.37±0.01ms 1.28±0.02ms 0.93 arithmetic.NumericInferOps.time_divide() - 146±0.6ms 136±1ms 0.93 rolling.Apply.time_rolling('DataFrame', 3, 'float', at 0x7f277d8de160>, False) - 146±0.8ms 136±0.9ms 0.93 rolling.Apply.time_rolling('DataFrame', 3, 'int', at 0x7f277d8de160>, False) - 145±0.3ms 135±1ms 0.93 rolling.Apply.time_rolling('Series', 3, 'int', at 0x7f277d8de160>, False) - 1.62±0.01ms 1.51±0.01ms 0.93 series_methods.ValueCounts.time_value_counts('int') - 10.8±0.1μs 10.1±0.2μs 0.93 tslibs.resolution.TimeResolution.time_get_resolution('s', 1, datetime.timezone(datetime.timedelta(seconds=3600))) - 37.9±0.6ms 35.4±0.2ms 0.93 rolling.Quantile.time_quantile('DataFrame', 10, 'int', 0.5, 'midpoint') - 184±3ms 172±1ms 0.93 io.json.ToJSON.time_to_json('index', 'df_int_floats') - 1.81±0.01ms 1.69±0.03ms 0.93 frame_methods.GetDtypeCounts.time_frame_get_dtype_counts - 9.19±0.2μs 8.57±0.09μs 0.93 tslibs.normalize.Normalize.time_is_date_array_normalized(1, datetime.timezone(datetime.timedelta(seconds=3600))) - 29.2±0.3μs 27.2±0.3μs 0.93 tslibs.offsets.OffestDatetimeArithmetic.time_apply() - 44.3±0.1ms 41.3±0.2ms 0.93 rolling.Methods.time_rolling('DataFrame', 10, 'int', 'median') - 10.9±0.2μs 10.2±0.09μs 0.93 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(1, 6000, tzfile('/usr/share/zoneinfo/Asia/Tokyo')) - 150±0.8ms 140±1ms 0.93 groupby.TransformEngine.time_dataframe_cython(True) - 21.5±0.3μs 20.1±0.6μs 0.93 series_methods.SearchSorted.time_searchsorted('uint16') - 16.4±0.1ms 15.2±0.3ms 0.93 reshape.Explode.time_explode(10000, 3) - 9.54±0.05μs 8.89±0.1μs 0.93 tslibs.resolution.TimeResolution.time_get_resolution('D', 1, tzfile('/usr/share/zoneinfo/Asia/Tokyo')) - 10.1±0.07μs 9.41±0.2μs 0.93 tslibs.tslib.TimeIntsToPydatetime.time_ints_to_pydatetime('timestamp', 0, ) - 11.0±0.09μs 10.2±0.2μs 0.93 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(1, 1000, tzfile('/usr/share/zoneinfo/Asia/Tokyo')) - 9.04±0.09μs 8.41±0.1μs 0.93 tslibs.resolution.TimeResolution.time_get_resolution('s', 1, ) - 7.06±0.2ms 6.56±0.03ms 0.93 stat_ops.FrameOps.time_op('median', 'Int64', 0) - 8.97±0.07μs 8.34±0.2μs 0.93 tslibs.resolution.TimeResolution.time_get_resolution('us', 1, ) - 3.15±0.02μs 2.93±0.08μs 0.93 tslibs.tz_convert.TimeTZConvert.time_tz_convert_from_utc(100, datetime.timezone.utc) - 5.34±0.05ms 4.96±0.08ms 0.93 ctors.SeriesConstructors.time_series_constructor(, False, 'float') - 103±1ms 96.0±0.5ms 0.93 rolling.Apply.time_rolling('Series', 300, 'int', at 0x7f277d8de160>, False) - 35.4±0.2ms 32.9±0.2ms 0.93 rolling.Quantile.time_quantile('DataFrame', 10, 'int', 0.5, 'higher') - 9.97±0.1ms 9.25±0.04ms 0.93 series_methods.NanOps.time_func('std', 1000000, 'Int64') - 4.19±0.6ms 3.88±0.02ms 0.93 rolling.ExpandingMethods.time_expanding('DataFrame', 'float', 'min') - 11.0±0.09μs 10.2±0.2μs 0.93 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(0, 1011, tzfile('/usr/share/zoneinfo/Asia/Tokyo')) - 21.4±0.2μs 19.8±0.4μs 0.93 series_methods.SearchSorted.time_searchsorted('uint8') - 10.4±0.1μs 9.67±0.1μs 0.93 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(0, 9000, ) - 58.3±0.2ms 54.0±0.3ms 0.93 rolling.Quantile.time_quantile('Series', 1000, 'int', 0.5, 'higher') - 2.24±0.01ms 2.08±0.01ms 0.93 series_methods.NSort.time_nlargest('last') - 11.0±0.2μs 10.2±0.1μs 0.93 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(1, 4006, tzfile('/usr/share/zoneinfo/Asia/Tokyo')) - 349±3μs 323±2μs 0.93 join_merge.Concat.time_concat_empty_left(0) - 6.83±0.06ms 6.32±0.05ms 0.93 rolling.Apply.time_rolling('Series', 3, 'float', at 0x7f277d8de160>, True) - 1.62±0.01ms 1.50±0.01ms 0.93 series_methods.NSort.time_nsmallest('last') - 10.6±0.1μs 9.78±0.1μs 0.93 tslibs.timestamp.TimestampOps.time_tz_convert(tzfile('/usr/share/zoneinfo/US/Central')) - 105±0.5ms 96.7±1ms 0.93 rolling.Apply.time_rolling('DataFrame', 300, 'float', at 0x7f277d8de160>, False) - 143±0.3ms 133±1ms 0.92 rolling.Apply.time_rolling('DataFrame', 3, 'int', , False) - 25.4±0.09ms 23.4±0.1ms 0.92 io.csv.ReadCSVSkipRows.time_skipprows(None, 'c') - 10.4±0.1μs 9.60±0.2μs 0.92 index_object.Indexing.time_get_loc_sorted('Float') - 10.5±0.3μs 9.72±0.1μs 0.92 tslibs.period.TimeDT64ArrToPeriodArr.time_dt64arr_to_periodarr(0, 2000, ) - 4.39±0.2ms 4.06±0.03ms 0.92 index_cached_properties.IndexCache.time_is_unique('IntervalIndex') - 68.5±0.3ms 63.3±0.4ms 0.92 rolling.Quantile.time_quantile('Series', 1000, 'int', 0.5, 'linear') - 150±0.8ms 138±1ms 0.92 groupby.TransformEngine.time_dataframe_cython(False) - 50.2±0.4μs 46.3±0.5μs 0.92 array.IntegerArray.time_from_integer_array - 103±0.6ms 95.1±1ms 0.92 rolling.Apply.time_rolling('DataFrame', 300, 'int', , False) - 68.8±0.5ms 63.4±0.3ms 0.92 rolling.Quantile.time_quantile('Series', 1000, 'int', 0.5, 'midpoint') - 97.8±0.8μs 90.2±1μs 0.92 series_methods.Any.time_any(1000000, 'slow', 'bool') - 58.4±0.2ms 53.8±0.3ms 0.92 rolling.Quantile.time_quantile('Series', 1000, 'int', 0.5, 'nearest') - 6.63±0.1μs 6.11±0.1μs 0.92 tslibs.timedelta.TimedeltaConstructor.time_from_datetime_timedelta - 10.5±0.07μs 9.70±0.1μs 0.92 index_object.Indexing.time_get_loc('Float') - 757±5μs 697±3μs 0.92 io.parsers.ConcatDateCols.time_check_concat('AAAA', 1) - 15.4±0.4μs 14.2±0.1μs 0.92 tslibs.offsets.OffestDatetimeArithmetic.time_apply() - 44.3±0.5ms 40.7±0.2ms 0.92 rolling.VariableWindowMethods.time_rolling('Series', '50s', 'float', 'median') - 168±0.9ms 155±2ms 0.92 io.json.ToJSON.time_to_json_wide('columns', 'df_date_idx') - 58.4±0.2ms 53.7±0.2ms 0.92 rolling.Quantile.time_quantile('Series', 1000, 'int', 0.5, 'lower') - 49.7±2ms 45.6±1ms 0.92 stat_ops.FrameOps.time_op('mean', 'Int64', 1) - 144±0.7ms 132±0.5ms 0.92 rolling.Apply.time_rolling('DataFrame', 3, 'float', , False) - 9.29±0.1μs 8.52±0.05μs 0.92 tslibs.normalize.Normalize.time_is_date_array_normalized(0, datetime.timezone(datetime.timedelta(seconds=3600))) - 56.0±0.1ms 51.3±0.4ms 0.92 frame_methods.Dropna.time_dropna_axis_mixed_dtypes('all', 1) - 1.96±0.02μs 1.80±0.01μs 0.92 timedelta.TimedeltaIndexing.time_shallow_copy - 3.13±0.01ms 2.86±0.04ms 0.92 rolling.ForwardWindowMethods.time_rolling('DataFrame', 1000, 'int', 'mean') - 3.11±0.05μs 2.85±0.1μs 0.91 tslibs.tz_convert.TimeTZConvert.time_tz_convert_from_utc(1, datetime.timezone.utc) - 21.0±0.3ms 19.2±0.3ms 0.91 timeseries.Iteration.time_iter_preexit() - 10.9±0.2μs 9.96±0.2μs 0.91 tslibs.tslib.TimeIntsToPydatetime.time_ints_to_pydatetime('datetime', 0, tzfile('/usr/share/zoneinfo/Asia/Tokyo')) - 170±0.5μs 155±0.9μs 0.91 period.Algorithms.time_drop_duplicates('index') - 44.3±0.4ms 40.4±0.3ms 0.91 rolling.ForwardWindowMethods.time_rolling('Series', 10, 'float', 'median') - 106±0.8ms 96.2±0.4ms 0.91 rolling.Apply.time_rolling('DataFrame', 300, 'int', at 0x7f277d8de160>, False) - 353±2μs 321±0.9μs 0.91 join_merge.Concat.time_concat_empty_right(0) - 1.92±0.01ms 1.75±0.02ms 0.91 series_methods.NSort.time_nsmallest('first') - 20.5±0.06ms 18.7±0.07ms 0.91 groupby.MultiColumn.time_col_select_numpy_sum - 202±4ms 183±3ms 0.91 io.json.ToJSON.time_to_json_wide('records', 'df_int_floats') - 90.2±0.3ms 82.0±0.1ms 0.91 hash_functions.IsinWithArange.time_isin(, 1000, 2) - 22.0±0.2ms 19.9±0.1ms 0.91 rolling.Pairwise.time_pairwise(10, 'corr', True) - 58.2±0.5μs 52.8±0.7μs 0.91 series_methods.NanOps.time_func('prod', 1000, 'float64') - 2.98±0.01ms 2.71±0.02ms 0.91 rolling.ForwardWindowMethods.time_rolling('DataFrame', 1000, 'float', 'mean') - 57.5±0.08μs 52.1±0.6μs 0.91 array.BooleanArray.time_from_integer_array - 15.2±0.2ms 13.8±0.1ms 0.91 frame_methods.Apply.time_apply_lambda_mean - 45.9±0.4ms 41.6±0.3ms 0.91 rolling.Quantile.time_quantile('Series', 10, 'float', 0.5, 'linear') - 45.1±0.2ms 40.8±0.3ms 0.91 rolling.Methods.time_rolling('Series', 10, 'float', 'median') - 4.28±0.6ms 3.87±0.02ms 0.90 rolling.ExpandingMethods.time_expanding('DataFrame', 'float', 'max') - 52.6±0.1ms 47.6±0.1ms 0.90 strings.Methods.time_title - 7.28±0.1ms 6.59±0.1ms 0.90 rolling.Apply.time_rolling('DataFrame', 3, 'float', at 0x7f277d8de160>, True) - 45.5±0.3ms 41.1±0.5ms 0.90 rolling.Methods.time_rolling('Series', 10, 'int', 'median') - 2.17±0.01ms 1.96±0ms 0.90 series_methods.NSort.time_nlargest('first') - 7.21±0.1ms 6.51±0.07ms 0.90 rolling.Engine.time_rolling_apply('DataFrame', 'float', at 0x7f277d8de310>, 'cython') - 16.7±0.2ms 15.1±0.2ms 0.90 frame_methods.Apply.time_apply_np_mean - 151±2ms 137±3ms 0.90 io.json.ToJSON.time_to_json_wide('values', 'df') - 3.00±0.02ms 2.71±0.01ms 0.90 rolling.ForwardWindowMethods.time_rolling('DataFrame', 10, 'float', 'mean') - 387±0.7μs 349±2μs 0.90 timedelta.TimedeltaIndexing.time_intersection - 3.03±0.08ms 2.74±0.03ms 0.90 arithmetic.FrameWithFrameWide.time_op_different_blocks() - 7.56±0.06ms 6.82±0.03ms 0.90 rolling.Engine.time_expanding_apply('DataFrame', 'int', at 0x7f277d8de310>, 'cython') - 37.6±0.06ms 33.9±0.3ms 0.90 strings.Methods.time_lower - 6.62±0.05ms 5.96±0.05ms 0.90 rolling.Engine.time_expanding_apply('DataFrame', 'float', , 'cython') - 1.81±0.02ms 1.63±0.01ms 0.90 rolling.Engine.time_expanding_apply('Series', 'float', at 0x7f277d8de310>, 'numba') - 49.6±0.5ms 44.6±0.2ms 0.90 rolling.GroupbyLargeGroups.time_rolling_multiindex_creation - 43.2±0.07ms 38.8±0.3ms 0.90 rolling.Quantile.time_quantile('Series', 10, 'float', 0.5, 'higher') - 1.97±0.01s 1.77±0s 0.90 timeseries.Iteration.time_iter() - 218±10μs 196±1μs 0.90 tslibs.tz_convert.TimeTZConvert.time_tz_convert_from_utc(10000, ) - 42.6±0.2ms 38.3±0.3ms 0.90 rolling.Quantile.time_quantile('Series', 10, 'float', 0.5, 'nearest') - 6.59±0.04ms 5.91±0.05ms 0.90 rolling.Engine.time_expanding_apply('DataFrame', 'int', , 'cython') - 6.24±0.05ms 5.59±0.03ms 0.90 rolling.Engine.time_rolling_apply('DataFrame', 'float', , 'cython') - 46.2±0.05ms 41.4±0.3ms 0.90 rolling.Quantile.time_quantile('Series', 10, 'float', 0.5, 'midpoint') - 7.60±0.07ms 6.80±0.03ms 0.90 rolling.Engine.time_expanding_apply('DataFrame', 'float', at 0x7f277d8de310>, 'cython') - 2.82±0.01ms 2.52±0.01ms 0.89 rolling.ForwardWindowMethods.time_rolling('DataFrame', 1000, 'int', 'sum') - 42.7±0.1ms 38.1±0.3ms 0.89 rolling.Quantile.time_quantile('Series', 10, 'float', 0.5, 'lower') - 6.24±0.1ms 5.57±0.05ms 0.89 rolling.Apply.time_rolling('DataFrame', 3, 'float', , True) - 11.3±0.4μs 10.1±0.2μs 0.89 timeseries.TzLocalize.time_infer_dst('UTC') - 7.69±0.08ms 6.84±0.02ms 0.89 rolling.Pairwise.time_pairwise(10, 'corr', False) - 7.66±0.04ms 6.81±0.03ms 0.89 rolling.Pairwise.time_pairwise(1000, 'corr', False) - 154±0.7μs 137±0.8μs 0.89 tslibs.tz_convert.TimeTZConvert.time_tz_convert_from_utc(10000, tzfile('/usr/share/zoneinfo/Asia/Tokyo')) - 2.69±0.01ms 2.39±0.01ms 0.89 rolling.ForwardWindowMethods.time_rolling('DataFrame', 10, 'float', 'sum') - 2.68±0.02ms 2.38±0.01ms 0.89 rolling.ForwardWindowMethods.time_rolling('DataFrame', 1000, 'float', 'sum') - 25.3±0.2ms 22.5±0.2ms 0.89 frame_methods.ToNumpy.time_to_numpy_mixed_tall - 14.7±0.07ms 13.1±0.2ms 0.89 groupby.Categories.time_groupby_nosort - 204±5ms 181±4ms 0.89 io.json.ToJSON.time_to_json_wide('index', 'df_int_floats') - 177±3ms 157±1ms 0.89 io.csv.ToCSV.time_frame('wide') - 39.7±0.2ms 35.2±0.4ms 0.89 rolling.Quantile.time_quantile('Series', 10, 'int', 0.5, 'linear') - 3.29±0.01ms 2.91±0.05ms 0.89 rolling.EWMMethods.time_ewm('DataFrame', 1000, 'float', 'std') - 1.83±0.05ms 1.62±0.04ms 0.89 rolling.Engine.time_expanding_apply('Series', 'float', , 'numba') - 22.1±0.09ms 19.6±0.06ms 0.89 rolling.Pairwise.time_pairwise(None, 'corr', True) - 39.8±0.3ms 35.2±0.2ms 0.88 rolling.Quantile.time_quantile('Series', 10, 'int', 0.5, 'midpoint') - 79.3±0.8μs 70.2±0.4μs 0.88 series_methods.NanOps.time_func('mean', 1000, 'int64') - 227±2ms 201±4ms 0.88 io.json.ToJSON.time_to_json_wide('index', 'df_int_float_str') - 7.33±0.08ms 6.48±0.03ms 0.88 rolling.Engine.time_rolling_apply('DataFrame', 'int', at 0x7f277d8de310>, 'cython') - 4.86±0.01ms 4.29±0.04ms 0.88 rolling.ForwardWindowMethods.time_rolling('DataFrame', 1000, 'float', 'min') - 525±6μs 464±10μs 0.88 join_merge.Append.time_append_homogenous - 170±1ms 150±1ms 0.88 io.json.ToJSON.time_to_json_wide('columns', 'df') - 3.71±0.01ms 3.27±0.01ms 0.88 series_methods.NanOps.time_func('mean', 1000000, 'boolean') - 181±3ms 160±2ms 0.88 io.json.ToJSON.time_to_json_wide('split', 'df_int_floats') - 19.5±0.07ms 17.2±0.1ms 0.88 rolling.Pairwise.time_pairwise(None, 'cov', True) - 125±0.3ms 111±0.2ms 0.88 gil.ParallelKth.time_kth_smallest - 24.1±0.4ms 21.2±0.2ms 0.88 categoricals.Indexing.time_reindex - 1.85±0.01ms 1.63±0.03ms 0.88 rolling.Engine.time_expanding_apply('Series', 'int', , 'numba') - 79.3±0.9μs 69.8±0.7μs 0.88 series_methods.NanOps.time_func('mean', 1000, 'int32') - 7.38±0.1ms 6.49±0.04ms 0.88 rolling.Apply.time_rolling('DataFrame', 3, 'int', at 0x7f277d8de160>, True) - 972±3μs 855±4μs 0.88 hash_functions.IsinAlmostFullWithRandomInt.time_isin_outside(, 14) - 4.77±0.05ms 4.20±0.05ms 0.88 rolling.Apply.time_rolling('DataFrame', 300, 'float', , True) - 182±2ms 160±3ms 0.88 io.json.ToJSON.time_to_json_wide('values', 'df_int_floats') - 36.7±0.4ms 32.2±0.2ms 0.88 rolling.Quantile.time_quantile('Series', 10, 'int', 0.5, 'nearest') - 36.6±0.3ms 32.2±0.2ms 0.88 rolling.Quantile.time_quantile('Series', 10, 'int', 0.5, 'lower') - 78.9±0.5μs 69.2±0.6μs 0.88 series_methods.NanOps.time_func('mean', 1000, 'int8') - 556±3μs 487±3μs 0.88 join_merge.Concat.time_concat_mixed_ndims(0) - 4.94±0.01ms 4.33±0.02ms 0.88 rolling.ForwardWindowMethods.time_rolling('DataFrame', 10, 'float', 'min') - 37.0±0.2ms 32.4±0.2ms 0.88 rolling.Quantile.time_quantile('Series', 10, 'int', 0.5, 'higher') - 120±0.6ms 105±0.1ms 0.88 replace.Convert.time_replace('DataFrame', 'Timedelta') - 120±1ms 105±0.7ms 0.87 replace.Convert.time_replace('DataFrame', 'Timestamp') - 5.50±0.05ms 4.81±0.02ms 0.87 rolling.Apply.time_rolling('DataFrame', 300, 'float', at 0x7f277d8de160>, True) - 19.6±0.06ms 17.1±0.1ms 0.87 rolling.Pairwise.time_pairwise(1000, 'cov', True) - 66.5±0.2μs 58.1±0.6μs 0.87 series_methods.NanOps.time_func('min', 1000, 'int32') - 6.29±0.1ms 5.48±0.04ms 0.87 rolling.Engine.time_rolling_apply('DataFrame', 'int', , 'cython') - 230±6ms 200±3ms 0.87 io.json.ToJSON.time_to_json_wide('records', 'df_int_float_str') - 208±4ms 181±2ms 0.87 io.json.ToJSON.time_to_json_wide('values', 'df_int_float_str') - 113±0.7ms 97.9±1ms 0.87 index_object.IndexAppend.time_append_obj_list - 5.03±0.01ms 4.36±0.01ms 0.87 rolling.ForwardWindowMethods.time_rolling('DataFrame', 10, 'float', 'max') - 815±1ms 706±3ms 0.87 hash_functions.NumericSeriesIndexingShuffled.time_loc_slice(, 5000000) - 5.53±0.06ms 4.78±0.02ms 0.87 rolling.Apply.time_rolling('DataFrame', 300, 'int', at 0x7f277d8de160>, True) - 573±8μs 495±3μs 0.86 period.Indexing.time_intersection - 5.49±0.04ms 4.75±0.03ms 0.86 stat_ops.FrameOps.time_op('std', 'Int64', 0) - 4.81±0.07ms 4.15±0.04ms 0.86 rolling.Apply.time_rolling('DataFrame', 300, 'int', , True) - 210±0.5ms 181±5ms 0.86 io.json.ToJSON.time_to_json_wide('columns', 'df_int_floats') - 26.3±0.08ms 22.7±0.05ms 0.86 join_merge.Concat.time_concat_series(0) - 66.6±0.4μs 57.3±0.4μs 0.86 series_methods.NanOps.time_func('min', 1000, 'int64') - 5.98±0.7ms 5.14±0.03ms 0.86 rolling.VariableWindowMethods.time_rolling('Series', '50s', 'float', 'kurt') - 66.8±0.1μs 57.5±0.6μs 0.86 series_methods.NanOps.time_func('min', 1000, 'int8') - 3.09±0.2ms 2.65±0.01ms 0.86 rolling.ExpandingMethods.time_expanding('DataFrame', 'float', 'std') - 5.03±0.02ms 4.31±0.03ms 0.86 rolling.ForwardWindowMethods.time_rolling('DataFrame', 1000, 'float', 'max') - 68.0±0.7μs 58.1±0.2μs 0.85 replace.ReplaceList.time_replace_list(True) - 55.4±0.5μs 47.3±0.3μs 0.85 series_methods.NanOps.time_func('sum', 1000, 'int64') - 10.6±0.2μs 9.05±0.04μs 0.85 timeseries.TzLocalize.time_infer_dst(tzutc()) - 38.1±0.5ms 32.5±0.1ms 0.85 frame_methods.Dropna.time_dropna_axis_mixed_dtypes('any', 1) - 188±6ms 160±5ms 0.85 indexing.CategoricalIndexIndexing.time_get_indexer_list('monotonic_incr') - 6.01±0.7ms 5.12±0.04ms 0.85 rolling.VariableWindowMethods.time_rolling('Series', '1h', 'float', 'kurt') - 3.50±0.02ms 2.98±0.02ms 0.85 series_methods.IsIn.time_isin('object') - 2.61±0.02ms 2.22±0.02ms 0.85 stat_ops.FrameOps.time_op('mean', 'Int64', 0) - 734±30μs 623±4μs 0.85 indexing.NonNumericSeriesIndexing.time_getitem_list_like('datetime', 'non_monotonic') - 6.20±0.06ms 5.26±0.03ms 0.85 gil.ParallelRolling.time_rolling('std') - 5.57±0.04ms 4.71±0.01ms 0.85 rolling.VariableWindowMethods.time_rolling('DataFrame', '1d', 'int', 'min') - 5.62±0.02ms 4.75±0.02ms 0.85 rolling.VariableWindowMethods.time_rolling('DataFrame', '1h', 'int', 'min') - 218±0.4ms 184±2ms 0.84 io.json.ToJSON.time_to_json_wide('records', 'df_td_int_ts') - 5.57±0.01ms 4.70±0.02ms 0.84 rolling.VariableWindowMethods.time_rolling('DataFrame', '1h', 'float', 'min') - 204±2ms 172±4ms 0.84 io.json.ToJSON.time_to_json_wide('columns', 'df_td_int_ts') - 218±1ms 183±2ms 0.84 io.json.ToJSON.time_to_json_wide('index', 'df_td_int_ts') - 5.89±0.7ms 4.96±0ms 0.84 rolling.VariableWindowMethods.time_rolling('Series', '1d', 'float', 'kurt') - 3.74±0.05ms 3.15±0.02ms 0.84 rolling.VariableWindowMethods.time_rolling('DataFrame', '50s', 'float', 'mean') - 187±1ms 157±1ms 0.84 io.json.ToJSON.time_to_json_wide('values', 'df_td_int_ts') - 5.76±0.09ms 4.84±0.01ms 0.84 rolling.VariableWindowMethods.time_rolling('DataFrame', '50s', 'int', 'min') - 210±2ms 177±0.8ms 0.84 io.json.ToJSON.time_to_json_wide('split', 'df_int_float_str') - 5.67±0.09ms 4.76±0.01ms 0.84 rolling.VariableWindowMethods.time_rolling('DataFrame', '50s', 'float', 'min') - 5.82±0.05ms 4.89±0.01ms 0.84 rolling.VariableWindowMethods.time_rolling('DataFrame', '50s', 'int', 'max') - 5.47±0.02ms 4.60±0.01ms 0.84 rolling.VariableWindowMethods.time_rolling('DataFrame', '1d', 'float', 'min') - 3.70±0.03ms 3.10±0.01ms 0.84 rolling.VariableWindowMethods.time_rolling('DataFrame', '1h', 'float', 'mean') - 227±2ms 190±4ms 0.84 io.json.ToJSON.time_to_json_wide('columns', 'df_int_float_str') - 22.3±0.08ms 18.6±0.07ms 0.84 join_merge.Merge.time_merge_dataframe_integer_2key(True) - 3.95±0.02ms 3.29±0.02ms 0.83 hash_functions.IsinAlmostFullWithRandomInt.time_isin(, 16) - 6.32±0.7ms 5.26±0.03ms 0.83 rolling.VariableWindowMethods.time_rolling('Series', '1h', 'int', 'kurt') - 750±60μs 625±6μs 0.83 indexing.NonNumericSeriesIndexing.time_getitem_list_like('datetime', 'unique_monotonic_inc') - 5.73±0.06ms 4.78±0.02ms 0.83 rolling.VariableWindowMethods.time_rolling('DataFrame', '50s', 'float', 'max') - 188±3ms 157±1ms 0.83 io.json.ToJSON.time_to_json_wide('split', 'df_td_int_ts') - 3.66±0.01ms 3.05±0.01ms 0.83 rolling.VariableWindowMethods.time_rolling('DataFrame', '1d', 'float', 'mean') - 144±1μs 120±1μs 0.83 series_methods.NanOps.time_func('std', 1000, 'int32') - 21.4±0.04ms 17.8±0.06ms 0.83 stat_ops.Correlation.time_corr_wide_nans('pearson') - 3.35±0.02ms 2.78±0.01ms 0.83 rolling.VariableWindowMethods.time_rolling('DataFrame', '1d', 'float', 'sum') - 145±0.9μs 119±1μs 0.83 series_methods.NanOps.time_func('std', 1000, 'int8') - 5.74±0.03ms 4.74±0.06ms 0.83 rolling.Methods.time_rolling('DataFrame', 10, 'int', 'min') - 7.73±0.07ms 6.39±0.05ms 0.83 gil.ParallelRolling.time_rolling('kurt') - 3.38±0.02ms 2.79±0.01ms 0.82 rolling.VariableWindowMethods.time_rolling('DataFrame', '50s', 'float', 'sum') - 194±7ms 160±5ms 0.82 indexing.CategoricalIndexIndexing.time_get_indexer_list('monotonic_decr') - 146±1μs 121±1μs 0.82 series_methods.NanOps.time_func('std', 1000, 'int64') - 95.4±1μs 78.4±1μs 0.82 series_methods.NanOps.time_func('mean', 1000, 'boolean') - 1.96±0.04ms 1.61±0.02ms 0.82 arithmetic.FrameWithFrameWide.time_op_same_blocks() - 82.9±1μs 68.1±0.6μs 0.82 series_methods.NanOps.time_func('mean', 1000, 'Int64') - 5.77±0.03ms 4.74±0.01ms 0.82 rolling.Methods.time_rolling('DataFrame', 10, 'int', 'max') - 58.8±0.5μs 48.3±0.6μs 0.82 series_methods.NanOps.time_func('sum', 1000, 'int8') - 3.41±0.01ms 2.79±0.02ms 0.82 rolling.VariableWindowMethods.time_rolling('DataFrame', '1h', 'float', 'sum') - 5.74±0.03ms 4.70±0.01ms 0.82 rolling.VariableWindowMethods.time_rolling('DataFrame', '1d', 'int', 'max') - 5.71±0.01ms 4.66±0ms 0.82 rolling.VariableWindowMethods.time_rolling('DataFrame', '1h', 'float', 'max') - 6.73±0.08ms 5.48±0.06ms 0.82 ctors.SeriesConstructors.time_series_constructor(, True, 'int') - 7.95±0.05ms 6.48±0.03ms 0.82 rolling.Pairwise.time_pairwise(None, 'corr', False) - 5.79±0.03ms 4.72±0.01ms 0.82 rolling.VariableWindowMethods.time_rolling('DataFrame', '1h', 'int', 'max') - 6.54±0.07ms 5.32±0.07ms 0.81 ctors.SeriesConstructors.time_series_constructor(, False, 'int') - 5.27±0.02ms 4.29±0.03ms 0.81 rolling.Pairwise.time_pairwise(10, 'cov', False) - 48.9±3μs 39.7±0.7μs 0.81 series_methods.Any.time_any(1000000, 'fast', 'bool') - 68.5±0.6ms 55.6±0.4ms 0.81 groupby.TransformEngine.time_series_cython(False) - 192±4ms 156±6ms 0.81 indexing.CategoricalIndexIndexing.time_get_indexer_list('non_monotonic') - 6.27±0.8ms 5.09±0.03ms 0.81 rolling.VariableWindowMethods.time_rolling('Series', '1d', 'int', 'kurt') - 68.7±0.6ms 55.7±0.4ms 0.81 groupby.TransformEngine.time_series_cython(True) - 5.32±0.08ms 4.31±0.08ms 0.81 rolling.Pairwise.time_pairwise(1000, 'cov', False) - 3.12±0.04ms 2.52±0.1ms 0.81 rolling.Apply.time_rolling('DataFrame', 3, 'int', , True) - 5.65±0.03ms 4.57±0.01ms 0.81 rolling.VariableWindowMethods.time_rolling('DataFrame', '1d', 'float', 'max') - 10.1±0.1ms 8.15±0.03ms 0.81 stat_ops.FrameOps.time_op('median', 'float', 0) - 3.12±0.06ms 2.52±0.1ms 0.81 rolling.Apply.time_rolling('DataFrame', 3, 'float', , True) - 6.21±0.01ms 5.01±0.01ms 0.81 rolling.Methods.time_rolling('Series', 1000, 'float', 'kurt') - 410±5μs 330±3μs 0.80 stat_ops.SeriesOps.time_op('mean', 'float') - 49.0±0.9μs 39.4±0.3μs 0.80 series_methods.All.time_all(1000000, 'fast', 'bool') - 66.6±0.6μs 53.2±0.7μs 0.80 series_methods.NanOps.time_func('max', 1000, 'int32') - 100±0.9μs 79.8±1μs 0.79 series_methods.NanOps.time_func('mean', 1000, 'float64') - 177±1ms 140±0.8ms 0.79 categoricals.Rank.time_rank_string - 85.5±1ms 67.8±0.8ms 0.79 rolling.Groupby.time_rolling_offset('sum') - 182±2μs 144±1μs 0.79 series_methods.NanOps.time_func('std', 1000, 'Int64') - 66.6±0.6μs 52.8±0.1μs 0.79 series_methods.NanOps.time_func('max', 1000, 'int64') - 177±0.7μs 140±1μs 0.79 series_methods.NanOps.time_func('std', 1000, 'float64') - 1.03±0.02s 815±5ms 0.79 groupby.Apply.time_copy_overhead_single_col - 66.6±0.7μs 52.7±0.3μs 0.79 series_methods.NanOps.time_func('max', 1000, 'int8') - 85.5±0.3ms 67.6±0.1ms 0.79 rolling.Groupby.time_rolling_offset('kurt') - 84.9±0.5ms 67.1±0.6ms 0.79 rolling.Groupby.time_rolling_offset('max') - 9.05±0.02ms 7.14±0.03ms 0.79 join_merge.Merge.time_merge_dataframe_integer_2key(False) - 6.64±0.7ms 5.24±0.03ms 0.79 rolling.VariableWindowMethods.time_rolling('Series', '50s', 'int', 'kurt') - 183±1μs 145±0.8μs 0.79 series_methods.NanOps.time_func('std', 1000, 'boolean') - 2.31±0.04ms 1.82±0.07ms 0.79 rolling.Engine.time_expanding_apply('DataFrame', 'int', , 'numba') - 2.11±0.01ms 1.66±0.03ms 0.79 rolling.EWMMethods.time_ewm('DataFrame', 1000, 'float', 'mean') - 85.0±1ms 67.0±0.6ms 0.79 rolling.Groupby.time_rolling_offset('mean') - 5.58±0.7ms 4.40±0.02ms 0.79 rolling.VariableWindowMethods.time_rolling('Series', '50s', 'float', 'skew') - 2.24±0.02ms 1.76±0.02ms 0.79 rolling.EWMMethods.time_ewm_times('DataFrame', 10, 'int', 'std') - 2.12±0.01ms 1.66±0.02ms 0.79 hash_functions.IsinAlmostFullWithRandomInt.time_isin(, 15) - 5.59±0.7ms 4.39±0.02ms 0.79 rolling.VariableWindowMethods.time_rolling('Series', '1h', 'float', 'skew') - 88.9±1ms 69.7±0.6ms 0.78 rolling.Groupby.time_rolling_offset('median') - 3.92±0.02ms 3.07±0.05ms 0.78 series_methods.NanOps.time_func('mean', 1000000, 'Int64') - 3.27±0.4ms 2.56±0.01ms 0.78 rolling.ForwardWindowMethods.time_rolling('DataFrame', 10, 'int', 'min') - 5.50±0.05ms 4.31±0.02ms 0.78 rolling.Methods.time_rolling('DataFrame', 10, 'int', 'std') - 86.0±0.6ms 67.4±0.4ms 0.78 rolling.Groupby.time_rolling_offset('min') - 2.46±0.01ms 1.92±0.03ms 0.78 groupby.RankWithTies.time_rank_ties('int64', 'average') - 2.43±0.01ms 1.90±0.01ms 0.78 groupby.RankWithTies.time_rank_ties('datetime64', 'average') - 2.25±0.01ms 1.76±0.03ms 0.78 rolling.EWMMethods.time_ewm_times('DataFrame', 1000, 'int', 'mean') - 151±2μs 118±1μs 0.78 indexing.NonNumericSeriesIndexing.time_getitem_label_slice('period', 'unique_monotonic_inc') - 2.44±0.02ms 1.90±0.01ms 0.78 groupby.RankWithTies.time_rank_ties('datetime64', 'dense') - 2.44±0.02ms 1.90±0.01ms 0.78 groupby.RankWithTies.time_rank_ties('datetime64', 'min') - 2.30±0.09ms 1.79±0.02ms 0.78 rolling.Engine.time_expanding_apply('DataFrame', 'int', at 0x7f277d8de310>, 'numba') - 2.45±0.01ms 1.90±0.01ms 0.78 groupby.RankWithTies.time_rank_ties('int64', 'min') - 2.25±0.01ms 1.75±0.02ms 0.78 rolling.EWMMethods.time_ewm_times('DataFrame', 1000, 'int', 'std') - 2.44±0.02ms 1.90±0.01ms 0.78 groupby.RankWithTies.time_rank_ties('datetime64', 'first') - 34.6±0.3μs 26.9±0.6μs 0.78 series_methods.Any.time_any(1000, 'slow', 'bool') - 2.44±0.01ms 1.90±0.01ms 0.78 groupby.RankWithTies.time_rank_ties('int64', 'dense') - 2.24±0.02ms 1.74±0.01ms 0.78 rolling.EWMMethods.time_ewm('DataFrame', 10, 'int', 'mean') - 2.24±0.01ms 1.74±0.02ms 0.78 rolling.EWMMethods.time_ewm_times('DataFrame', 10, 'int', 'mean') - 2.43±0.02ms 1.89±0.02ms 0.78 groupby.RankWithTies.time_rank_ties('float32', 'max') - 2.41±0.02ms 1.86±0.01ms 0.78 groupby.RankWithTies.time_rank_ties('float64', 'dense') - 2.12±0.03ms 1.64±0.01ms 0.78 rolling.EWMMethods.time_ewm_times('DataFrame', 10, 'float', 'mean') - 2.44±0.03ms 1.89±0.02ms 0.77 groupby.RankWithTies.time_rank_ties('float32', 'min') - 2.12±0.01ms 1.64±0.02ms 0.77 rolling.EWMMethods.time_ewm_times('DataFrame', 1000, 'float', 'std') - 3.38±0.02ms 2.61±0.02ms 0.77 rolling.ForwardWindowMethods.time_rolling('DataFrame', 1000, 'int', 'max') - 2.45±0.01ms 1.90±0.01ms 0.77 groupby.RankWithTies.time_rank_ties('int64', 'first') - 2.32±0.07ms 1.79±0.03ms 0.77 rolling.Engine.time_expanding_apply('DataFrame', 'float', , 'numba') - 11.0±0.4μs 8.51±0.1μs 0.77 timeseries.TzLocalize.time_infer_dst(None) - 75.4±1ms 58.3±0.2ms 0.77 reshape.Cut.time_qcut_timedelta(1000) - 2.48±0.04ms 1.91±0.02ms 0.77 groupby.RankWithTies.time_rank_ties('datetime64', 'max') - 2.46±0.02ms 1.89±0.02ms 0.77 groupby.RankWithTies.time_rank_ties('float32', 'dense') - 2.12±0.01ms 1.63±0.01ms 0.77 rolling.EWMMethods.time_ewm_times('DataFrame', 10, 'float', 'std') - 5.44±0.03ms 4.18±0.04ms 0.77 rolling.Pairwise.time_pairwise(None, 'cov', False) - 2.32±0.05ms 1.78±0.03ms 0.77 rolling.Engine.time_expanding_apply('DataFrame', 'float', at 0x7f277d8de310>, 'numba') - 2.42±0.02ms 1.86±0.01ms 0.77 groupby.RankWithTies.time_rank_ties('float64', 'average') - 11.5±0.06μs 8.86±0.1μs 0.77 indexing.CategoricalIndexIndexing.time_get_loc_scalar('monotonic_incr') - 86.4±1ms 66.4±1ms 0.77 series_methods.SeriesConstructor.time_constructor('dict') - 5.87±0.8ms 4.50±0.01ms 0.77 rolling.VariableWindowMethods.time_rolling('Series', '1h', 'int', 'skew') - 2.45±0.02ms 1.88±0.02ms 0.77 groupby.RankWithTies.time_rank_ties('float32', 'average') - 2.42±0.02ms 1.86±0ms 0.77 groupby.RankWithTies.time_rank_ties('float64', 'min') - 2.46±0.02ms 1.88±0.01ms 0.77 groupby.RankWithTies.time_rank_ties('float32', 'first') - 1.03±0ms 789±4μs 0.77 period.Algorithms.time_value_counts('index') - 6.71±0.01ms 5.13±0.01ms 0.77 rolling.Methods.time_rolling('Series', 1000, 'int', 'kurt') - 2.49±0.05ms 1.90±0.02ms 0.76 groupby.RankWithTies.time_rank_ties('int64', 'max') - 2.43±0.02ms 1.86±0.01ms 0.76 groupby.RankWithTies.time_rank_ties('float64', 'max') - 3.94±0.01ms 3.01±0.02ms 0.76 series_methods.NanOps.time_func('max', 1000000, 'float64') - 2.45±0.01ms 1.87±0.01ms 0.76 groupby.RankWithTies.time_rank_ties('float64', 'first') - 35.4±0.3μs 27.0±0.3μs 0.76 series_methods.All.time_all(1000, 'slow', 'bool') - 3.39±0.4ms 2.58±0.02ms 0.76 rolling.ForwardWindowMethods.time_rolling('DataFrame', 10, 'int', 'max') - 5.64±0.7ms 4.30±0.01ms 0.76 rolling.VariableWindowMethods.time_rolling('DataFrame', '1h', 'float', 'std') - 34.6±0.5μs 26.4±0.2μs 0.76 series_methods.Any.time_any(1000, 'fast', 'bool') - 4.42±0.1μs 3.36±0.1μs 0.76 index_cached_properties.IndexCache.time_shape('DatetimeIndex') - 33.4±0.3ms 25.4±0.5ms 0.76 categoricals.Indexing.time_intersection - 72.3±10ms 54.9±0.3ms 0.76 reshape.Cut.time_qcut_datetime(1000) - 35.0±0.2μs 26.6±0.4μs 0.76 series_methods.All.time_all(1000, 'fast', 'bool') - 8.87±0.2μs 6.73±0.1μs 0.76 index_cached_properties.IndexCache.time_engine('DatetimeIndex') - 85.0±0.8μs 64.4±0.9μs 0.76 series_methods.NanOps.time_func('sum', 1000, 'float64') - 5.94±0.8ms 4.50±0.01ms 0.76 rolling.VariableWindowMethods.time_rolling('Series', '50s', 'int', 'skew') - 3.41±0.02s 2.57±0.03s 0.76 groupby.Apply.time_copy_function_multi_col - 3.35±0.8ms 2.53±0.01ms 0.76 rolling.ForwardWindowMethods.time_rolling('DataFrame', 10, 'int', 'sum') - 3.92±0.02ms 2.95±0.04ms 0.75 series_methods.NanOps.time_func('mean', 1000000, 'float64') - 5.84±0.7ms 4.39±0.01ms 0.75 rolling.VariableWindowMethods.time_rolling('Series', '1d', 'int', 'skew') - 6.66±0.01ms 5.01±0.01ms 0.75 rolling.Methods.time_rolling('Series', 10, 'float', 'kurt') - 14.3±0.4μs 10.7±0.4μs 0.75 index_cached_properties.IndexCache.time_engine('TimedeltaIndex') - 958±9μs 717±3μs 0.75 period.Algorithms.time_value_counts('series') - 8.93±0.5μs 6.68±0.2μs 0.75 index_cached_properties.IndexCache.time_engine('PeriodIndex') - 5.81±0.7ms 4.34±0.02ms 0.75 rolling.VariableWindowMethods.time_rolling('DataFrame', '50s', 'float', 'std') - 2.19±0.1ms 1.64±0.02ms 0.75 rolling.EWMMethods.time_ewm_times('DataFrame', 1000, 'float', 'mean') - 5.52±0.7ms 4.12±0.01ms 0.75 rolling.VariableWindowMethods.time_rolling('DataFrame', '1d', 'float', 'std') - 4.20±0.05ms 3.12±0.2ms 0.74 stat_ops.FrameOps.time_op('prod', 'float', 0) - 4.67±0.1μs 3.46±0.2μs 0.74 index_cached_properties.IndexCache.time_shape('PeriodIndex') - 134±2μs 99.4±0.4μs 0.74 indexing.NonNumericSeriesIndexing.time_getitem_label_slice('period', 'non_monotonic') - 303±2μs 223±1μs 0.74 index_cached_properties.IndexCache.time_is_monotonic('Float64Index') - 4.86±0.07ms 3.58±0.06ms 0.74 ctors.SeriesConstructors.time_series_constructor(, True, 'float') - 4.68±0.06ms 3.43±0.05ms 0.73 ctors.SeriesConstructors.time_series_constructor(, False, 'float') - 5.87±0.7ms 4.30±0.02ms 0.73 rolling.VariableWindowMethods.time_rolling('Series', '1d', 'float', 'skew') - 666±3μs 487±0.8μs 0.73 hash_functions.IsinAlmostFullWithRandomInt.time_isin_outside(, 13) - 7.84±0.08μs 5.73±0.04μs 0.73 categoricals.SearchSorted.time_categorical_index_contains - 57.8±0.7ms 42.2±0.4ms 0.73 reshape.Cut.time_cut_datetime(1000) - 304±1μs 222±2μs 0.73 index_cached_properties.IndexCache.time_is_monotonic_increasing('Float64Index') - 3.92±0.6ms 2.86±0.05ms 0.73 rolling.ForwardWindowMethods.time_rolling('DataFrame', 10, 'int', 'mean') - 303±1μs 221±1μs 0.73 index_cached_properties.IndexCache.time_is_monotonic_decreasing('Float64Index') - 5.39±0.2ms 3.92±0.2ms 0.73 rolling.Methods.time_rolling('DataFrame', 10, 'int', 'count') - 5.51±0.1ms 4.00±0.03ms 0.73 rolling.ExpandingMethods.time_expanding('DataFrame', 'int', 'max') - 5.44±0.4ms 3.95±0.2ms 0.73 rolling.Methods.time_rolling('DataFrame', 1000, 'float', 'count') - 87.0±0.5μs 63.2±0.6μs 0.73 series_methods.NanOps.time_func('max', 1000, 'float64') - 4.45±0.7ms 3.23±0.01ms 0.73 rolling.VariableWindowMethods.time_rolling('DataFrame', '50s', 'int', 'mean') - 7.14±0.2μs 5.18±0.02μs 0.72 categoricals.SearchSorted.time_categorical_contains - 4.38±0.7ms 3.17±0.01ms 0.72 rolling.VariableWindowMethods.time_rolling('DataFrame', '1d', 'int', 'mean') - 87.6±0.4μs 63.3±0.7μs 0.72 series_methods.NanOps.time_func('min', 1000, 'float64') - 4.48±0.7ms 3.23±0.01ms 0.72 rolling.VariableWindowMethods.time_rolling('DataFrame', '1h', 'int', 'mean') - 112±1μs 80.5±0.7μs 0.72 indexing.NonNumericSeriesIndexing.time_getitem_pos_slice('period', 'non_monotonic') - 5.43±0.1ms 3.91±0.2ms 0.72 rolling.Methods.time_rolling('DataFrame', 10, 'float', 'count') - 299±1μs 215±1μs 0.72 index_cached_properties.IndexCache.time_is_monotonic_increasing('UInt64Index') - 299±2μs 215±2μs 0.72 index_cached_properties.IndexCache.time_is_monotonic('UInt64Index') - 112±2μs 80.2±0.5μs 0.72 indexing.NonNumericSeriesIndexing.time_getitem_pos_slice('period', 'nonunique_monotonic_inc') - 299±2μs 214±1μs 0.72 index_cached_properties.IndexCache.time_is_monotonic_decreasing('UInt64Index') - 7.18±0.01ms 5.14±0.02ms 0.72 rolling.Methods.time_rolling('Series', 10, 'int', 'kurt') - 5.41±0.4ms 3.87±0.2ms 0.72 rolling.Methods.time_rolling('DataFrame', 1000, 'int', 'count') - 111±2μs 79.3±0.2μs 0.71 indexing.NonNumericSeriesIndexing.time_getitem_pos_slice('period', 'unique_monotonic_inc') - 63.6±1ms 45.3±0.1ms 0.71 reshape.Cut.time_cut_timedelta(1000) - 4.12±0.7ms 2.92±0.01ms 0.71 rolling.VariableWindowMethods.time_rolling('DataFrame', '1h', 'int', 'sum') - 196M 139M 0.71 rolling.PeakMemFixedWindowMinMax.peakmem_fixed('max') - 196M 139M 0.71 rolling.PeakMemFixedWindowMinMax.peakmem_fixed('min') - 6.04±0.02ms 4.28±0.02ms 0.71 rolling.Methods.time_rolling('Series', 1000, 'float', 'skew') - 32.9±0.5ms 23.2±1ms 0.71 hash_functions.UniqueAndFactorizeArange.time_factorize(7) - 4.10±0.7ms 2.90±0.02ms 0.71 rolling.VariableWindowMethods.time_rolling('DataFrame', '1d', 'int', 'sum') - 6.75±0.02ms 4.75±0.01ms 0.70 rolling.ForwardWindowMethods.time_rolling('Series', 1000, 'float', 'kurt') - 5.37±1μs 3.78±0.1μs 0.70 index_cached_properties.IndexCache.time_values('TimedeltaIndex') - 6.76±0.03ms 4.75±0.01ms 0.70 rolling.ForwardWindowMethods.time_rolling('Series', 10, 'float', 'kurt') - 163±10μs 114±1μs 0.70 indexing.NonNumericSeriesIndexing.time_getitem_label_slice('period', 'nonunique_monotonic_inc') - 104±10ms 72.7±4ms 0.70 frame_methods.Equals.time_frame_object_equal - 6.21±0.03ms 4.34±0.01ms 0.70 rolling.VariableWindowMethods.time_rolling('Series', '1d', 'int', 'min') - 33.4±1ms 23.3±1ms 0.70 hash_functions.UniqueAndFactorizeArange.time_factorize(12) - 6.99±0.1ms 4.86±0.03ms 0.70 gil.ParallelRolling.time_rolling('var') - 6.12±0.03ms 4.25±0.04ms 0.70 rolling.VariableWindowMethods.time_rolling('Series', '1d', 'float', 'min') - 5.65±0.4ms 3.93±0.02ms 0.69 rolling.ForwardWindowMethods.time_rolling('Series', 1000, 'float', 'min') - 6.20±0.03ms 4.28±0.01ms 0.69 rolling.VariableWindowMethods.time_rolling('Series', '1h', 'float', 'min') - 4.32±0.7ms 2.95±0.03ms 0.68 rolling.VariableWindowMethods.time_rolling('DataFrame', '50s', 'int', 'sum') - 6.35±0.03ms 4.33±0.01ms 0.68 rolling.VariableWindowMethods.time_rolling('Series', '1d', 'int', 'max') - 45.5±0.2ms 30.9±0.03ms 0.68 hash_functions.IsinWithArange.time_isin(, 8000, -2) - 5.79±0.03ms 3.92±0.03ms 0.68 rolling.ForwardWindowMethods.time_rolling('Series', 1000, 'float', 'max') - 2.75±0ms 1.86±0.02ms 0.68 series_methods.NanOps.time_func('argmax', 1000000, 'float64') - 7.78±0.2ms 5.25±0.7ms 0.67 rolling.VariableWindowMethods.time_rolling('Series', '1d', 'int', 'std') - 8.70±1μs 5.87±0.2μs 0.67 index_cached_properties.IndexCache.time_shape('TimedeltaIndex') - 1.78±0.04ms 1.20±0.06ms 0.67 replace.FillNa.time_replace(True) - 6.31±0.02ms 4.24±0.02ms 0.67 rolling.VariableWindowMethods.time_rolling('Series', '1d', 'float', 'max') - 519±3ms 348±2ms 0.67 series_methods.IsInLongSeriesLookUpDominates.time_isin('object', 5, 'random_misses') - 6.56±0.01ms 4.39±0.02ms 0.67 rolling.Methods.time_rolling('Series', 1000, 'int', 'skew') - 4.67±0.03ms 3.11±0.01ms 0.67 rolling.Methods.time_rolling('DataFrame', 10, 'int', 'mean') - 5.72±0.03ms 3.79±0.01ms 0.66 rolling.Methods.time_rolling('Series', 1000, 'float', 'std') - 40.9±1μs 27.1±0.2μs 0.66 series_methods.NanOps.time_func('argmax', 1000, 'int32') - 73.1±0.6μs 48.3±0.5μs 0.66 series_methods.NanOps.time_func('argmax', 1000, 'float64') - 41.0±0.8μs 27.1±0.2μs 0.66 series_methods.NanOps.time_func('argmax', 1000, 'int8') - 17.4±0.2ms 11.5±2ms 0.66 stat_ops.FrameOps.time_op('skew', 'float', 0) - 6.50±0.03ms 4.28±0.01ms 0.66 rolling.Methods.time_rolling('Series', 10, 'float', 'skew') - 1.09±0.05ms 717±60μs 0.66 rolling.Engine.time_rolling_apply('DataFrame', 'int', , 'numba') - 2.67±0.05μs 1.75±0.03μs 0.66 period.Indexing.time_shallow_copy - 2.75±0.01ms 1.80±0.01ms 0.65 series_methods.NanOps.time_func('prod', 1000000, 'int8') - 1.35±0ms 879±3μs 0.65 hash_functions.IsinAlmostFullWithRandomInt.time_isin(, 14) - 234±2μs 153±1μs 0.65 stat_ops.SeriesOps.time_op('sum', 'float') - 41.4±0.4μs 27.0±0.1μs 0.65 series_methods.NanOps.time_func('argmax', 1000, 'int64') - 6.50±0.02ms 4.19±0.02ms 0.64 rolling.Methods.time_rolling('Series', 1000, 'float', 'min') - 13.3±1ms 8.57±0.05ms 0.64 series_methods.NanOps.time_func('std', 1000000, 'float64') - 6.51±0.01ms 4.18±0.01ms 0.64 rolling.Quantile.time_quantile('Series', 1000, 'float', 0, 'midpoint') - 6.55±0.01ms 4.20±0.03ms 0.64 rolling.Methods.time_rolling('Series', 1000, 'float', 'max') - 6.51±0.02ms 4.17±0.01ms 0.64 rolling.Quantile.time_quantile('Series', 1000, 'float', 0, 'linear') - 6.50±0.03ms 4.16±0.01ms 0.64 rolling.Quantile.time_quantile('Series', 1000, 'float', 0, 'nearest') - 6.50±0.03ms 4.16±0.02ms 0.64 rolling.Quantile.time_quantile('Series', 1000, 'float', 0, 'higher') - 15.7±0.9ms 10.1±0.9ms 0.64 stat_ops.FrameOps.time_op('sem', 'int', 0) - 359±1μs 229±1μs 0.64 index_cached_properties.IndexCache.time_is_monotonic('CategoricalIndex') - 359±0.9μs 229±1μs 0.64 index_cached_properties.IndexCache.time_is_monotonic_decreasing('CategoricalIndex') - 482±2μs 308±2μs 0.64 hash_functions.IsinAlmostFullWithRandomInt.time_isin_outside(, 12) - 6.53±0.03ms 4.17±0.01ms 0.64 rolling.Quantile.time_quantile('Series', 1000, 'float', 0, 'lower') - 6.55±0.01ms 4.18±0.02ms 0.64 rolling.Quantile.time_quantile('Series', 1000, 'float', 1, 'linear') - 6.57±0.02ms 4.19±0.02ms 0.64 rolling.Quantile.time_quantile('Series', 1000, 'float', 1, 'nearest') - 359±1μs 229±1μs 0.64 index_cached_properties.IndexCache.time_is_monotonic_increasing('CategoricalIndex') - 6.54±0.01ms 4.17±0.01ms 0.64 rolling.Quantile.time_quantile('Series', 1000, 'float', 1, 'higher') - 4.38±0.02ms 2.79±0.01ms 0.64 rolling.Methods.time_rolling('DataFrame', 10, 'int', 'sum') - 6.54±0.02ms 4.16±0.01ms 0.64 rolling.Quantile.time_quantile('Series', 1000, 'float', 1, 'midpoint') - 6.14±0.3ms 3.90±0.03ms 0.64 gil.ParallelRolling.time_rolling('mean') - 6.57±0.01ms 4.18±0.01ms 0.64 rolling.Quantile.time_quantile('Series', 1000, 'float', 1, 'lower') - 7.69±0.5ms 4.87±0.02ms 0.63 stat_ops.FrameOps.time_op('mad', 'int', 0) - 7.02±0.03ms 4.43±0.03ms 0.63 rolling.Methods.time_rolling('Series', 10, 'int', 'skew') - 4.49±0.01ms 2.82±0.01ms 0.63 rolling.Quantile.time_quantile('DataFrame', 10, 'int', 0, 'nearest') - 6.94±0.7ms 4.36±0.01ms 0.63 rolling.VariableWindowMethods.time_rolling('Series', '50s', 'float', 'min') - 4.49±0.01ms 2.81±0.01ms 0.63 rolling.Quantile.time_quantile('DataFrame', 10, 'int', 0, 'lower') - 97.8±8ms 61.3±1ms 0.63 frame_methods.Equals.time_frame_object_unequal - 4.50±0.01ms 2.82±0.01ms 0.63 rolling.Quantile.time_quantile('DataFrame', 10, 'int', 0, 'higher') - 4.50±0.01ms 2.82±0.02ms 0.63 rolling.Quantile.time_quantile('DataFrame', 10, 'int', 0, 'midpoint') - 4.57±0.01ms 2.86±0.03ms 0.63 rolling.Quantile.time_quantile('DataFrame', 10, 'int', 1, 'linear') - 6.24±0.04ms 3.90±0.02ms 0.63 rolling.Methods.time_rolling('Series', 1000, 'int', 'std') - 6.82±0.02ms 4.26±0.02ms 0.63 rolling.Methods.time_rolling('Series', 10, 'float', 'min') - 2.04±0.02ms 1.27±0ms 0.62 series_methods.NanOps.time_func('sum', 1000000, 'int8') - 7.19±0.8ms 4.49±0.03ms 0.62 rolling.VariableWindowMethods.time_rolling('Series', '50s', 'int', 'min') - 6.81±0.01ms 4.25±0.01ms 0.62 rolling.Quantile.time_quantile('Series', 10, 'float', 0, 'linear') - 7.02±0.8ms 4.38±0.01ms 0.62 rolling.VariableWindowMethods.time_rolling('Series', '50s', 'float', 'max') - 7.04±0.8ms 4.38±0.03ms 0.62 rolling.VariableWindowMethods.time_rolling('Series', '1h', 'int', 'min') - 4.49±0.01ms 2.80±0.02ms 0.62 rolling.Quantile.time_quantile('DataFrame', 10, 'int', 0, 'linear') - 6.86±0.01ms 4.26±0.01ms 0.62 rolling.Quantile.time_quantile('Series', 10, 'float', 1, 'linear') - 6.85±0.03ms 4.26±0.01ms 0.62 rolling.Quantile.time_quantile('Series', 10, 'float', 1, 'nearest') - 6.88±0.02ms 4.27±0.02ms 0.62 rolling.Quantile.time_quantile('Series', 10, 'float', 1, 'lower') - 6.83±0.02ms 4.24±0.02ms 0.62 rolling.Quantile.time_quantile('Series', 10, 'float', 0, 'midpoint') - 6.84±0.02ms 4.24±0.02ms 0.62 rolling.Quantile.time_quantile('Series', 10, 'float', 0, 'nearest') - 5.81±0.02ms 3.60±0.05ms 0.62 rolling.ExpandingMethods.time_expanding('Series', 'float', 'kurt') - 4.57±0.01ms 2.83±0.02ms 0.62 rolling.Quantile.time_quantile('DataFrame', 10, 'int', 1, 'midpoint') - 4.59±0.02ms 2.84±0.01ms 0.62 rolling.Quantile.time_quantile('DataFrame', 10, 'int', 1, 'lower') - 6.90±0.03ms 4.27±0.02ms 0.62 rolling.Quantile.time_quantile('Series', 10, 'float', 1, 'midpoint') - 6.85±0.02ms 4.24±0.01ms 0.62 rolling.Quantile.time_quantile('Series', 10, 'float', 0, 'lower') - 6.89±0.02ms 4.27±0.01ms 0.62 rolling.Quantile.time_quantile('Series', 10, 'float', 1, 'higher') - 6.85±0.03ms 4.24±0.02ms 0.62 rolling.Quantile.time_quantile('Series', 10, 'float', 0, 'higher') - 6.64±0.09ms 4.10±0.03ms 0.62 period.DataFramePeriodColumn.time_set_index - 6.91±0.08ms 4.26±0.01ms 0.62 rolling.Methods.time_rolling('Series', 10, 'float', 'max') - 4.59±0.03ms 2.83±0.03ms 0.62 rolling.Quantile.time_quantile('DataFrame', 10, 'int', 1, 'higher') - 4.58±0.02ms 2.82±0.01ms 0.62 rolling.Quantile.time_quantile('DataFrame', 10, 'int', 1, 'nearest') - 7.00±0.4ms 4.29±0ms 0.61 rolling.VariableWindowMethods.time_rolling('Series', '1h', 'float', 'max') - 7.38±0.8ms 4.51±0.01ms 0.61 rolling.VariableWindowMethods.time_rolling('Series', '50s', 'int', 'max') - 6.45±0.8ms 3.94±0.01ms 0.61 rolling.VariableWindowMethods.time_rolling('Series', '50s', 'float', 'std') - 6.96±0.02ms 4.25±0.02ms 0.61 rolling.Methods.time_rolling('Series', 1000, 'int', 'min') - 18.0±0.4ms 10.9±1ms 0.61 stat_ops.FrameOps.time_op('kurt', 'float', 0) - 6.46±0.8ms 3.92±0.01ms 0.61 rolling.VariableWindowMethods.time_rolling('Series', '1h', 'float', 'std') - 6.25±0.8ms 3.78±0.04ms 0.61 rolling.VariableWindowMethods.time_rolling('Series', '1d', 'float', 'std') - 7.21±0.8ms 4.36±0.01ms 0.60 rolling.VariableWindowMethods.time_rolling('Series', '1h', 'int', 'max') - 14.0±1ms 8.42±0.07ms 0.60 series_methods.NanOps.time_func('median', 1000000, 'float64') - 1.30±0.01ms 779±7μs 0.60 groupby.GroupByMethods.time_dtype_as_group('int', 'rank', 'transformation') - 1.04±0.02ms 625±20μs 0.60 rolling.Engine.time_rolling_apply('DataFrame', 'int', at 0x7f277d8de310>, 'numba') - 1.29±0.01ms 774±4μs 0.60 groupby.GroupByMethods.time_dtype_as_field('int', 'rank', 'direct') - 7.07±0.03ms 4.24±0.01ms 0.60 rolling.Methods.time_rolling('Series', 1000, 'int', 'max') - 7.92±0.2ms 4.73±0.7ms 0.60 rolling.VariableWindowMethods.time_rolling('Series', '1h', 'int', 'std') - 1.29±0ms 773±3μs 0.60 groupby.GroupByMethods.time_dtype_as_field('int', 'rank', 'transformation') - 210±0.8ms 125±0.7ms 0.60 groupby.DateAttributes.time_len_groupby_object - 1.30±0.01ms 775±2μs 0.59 groupby.GroupByMethods.time_dtype_as_group('int', 'rank', 'direct') - 1.31±0.01ms 780±5μs 0.59 groupby.GroupByMethods.time_dtype_as_group('float', 'rank', 'direct') - 7.33±0.03ms 4.35±0.01ms 0.59 rolling.Methods.time_rolling('Series', 10, 'int', 'min') - 1.27±0.01ms 755±4μs 0.59 groupby.GroupByMethods.time_dtype_as_field('float', 'rank', 'transformation') - 7.40±0.03ms 4.38±0.01ms 0.59 rolling.Methods.time_rolling('Series', 10, 'int', 'max') - 2.32±0.01ms 1.37±0.01ms 0.59 series_methods.NanOps.time_func('sum', 1000000, 'float64') - 6.35±0.01ms 3.76±0.06ms 0.59 rolling.ExpandingMethods.time_expanding('Series', 'int', 'kurt') - 7.98±0.2ms 4.72±0.7ms 0.59 rolling.VariableWindowMethods.time_rolling('Series', '50s', 'int', 'std') - 1.32±0.01ms 778±4μs 0.59 groupby.GroupByMethods.time_dtype_as_group('float', 'rank', 'transformation') - 1.06±0.03ms 624±60μs 0.59 rolling.Engine.time_rolling_apply('DataFrame', 'float', , 'numba') - 29.1±1ms 17.1±2ms 0.59 hash_functions.UniqueAndFactorizeArange.time_unique(7) - 1.03±0.05ms 605±10μs 0.59 rolling.Engine.time_rolling_apply('DataFrame', 'float', at 0x7f277d8de310>, 'numba') - 1.28±0.01ms 752±2μs 0.59 groupby.GroupByMethods.time_dtype_as_field('float', 'rank', 'direct') - 29.4±1ms 17.2±2ms 0.58 hash_functions.UniqueAndFactorizeArange.time_unique(12) - 4.45±0.01ms 2.59±0.02ms 0.58 rolling.EWMMethods.time_ewm('Series', 1000, 'int', 'std') - 4.44±0.02ms 2.58±0.03ms 0.58 rolling.EWMMethods.time_ewm('Series', 10, 'int', 'std') - 6.53±0.02ms 3.79±0.01ms 0.58 rolling.Methods.time_rolling('Series', 10, 'float', 'std') - 5.45±0.01ms 3.15±0.1ms 0.58 rolling.ExpandingMethods.time_expanding('DataFrame', 'int', 'count') - 1.33±0.01ms 765±3μs 0.58 groupby.GroupByMethods.time_dtype_as_group('datetime', 'rank', 'direct') - 1.33±0.01ms 762±2μs 0.57 groupby.GroupByMethods.time_dtype_as_group('datetime', 'rank', 'transformation') - 384±2μs 218±2μs 0.57 hash_functions.IsinAlmostFullWithRandomInt.time_isin_outside(, 11) - 4.36±0.01ms 2.45±0.03ms 0.56 rolling.EWMMethods.time_ewm('Series', 10, 'float', 'std') - 4.36±0.01ms 2.44±0.01ms 0.56 rolling.EWMMethods.time_ewm('Series', 1000, 'float', 'std') - 6.32±0.03ms 3.52±0.1ms 0.56 rolling.ForwardWindowMethods.time_rolling('Series', 10, 'int', 'kurt') - 6.32±0.01ms 3.53±0.03ms 0.56 rolling.ForwardWindowMethods.time_rolling('Series', 1000, 'int', 'kurt') - 7.07±0.05ms 3.94±0.01ms 0.56 rolling.Methods.time_rolling('Series', 10, 'int', 'std') - 6.31±0.01ms 3.50±0.02ms 0.55 rolling.ExpandingMethods.time_expanding('Series', 'float', 'min') - 4.99±0.7ms 2.77±0.01ms 0.55 rolling.VariableWindowMethods.time_rolling('Series', '50s', 'float', 'mean') - 4.95±0.7ms 2.74±0.03ms 0.55 rolling.VariableWindowMethods.time_rolling('Series', '1h', 'float', 'mean') - 6.39±0.01ms 3.50±0.03ms 0.55 rolling.ExpandingMethods.time_expanding('Series', 'float', 'max') - 4.94±0.7ms 2.70±0.03ms 0.55 rolling.VariableWindowMethods.time_rolling('Series', '1d', 'float', 'mean') - 5.24±0.8ms 2.87±0.02ms 0.55 rolling.VariableWindowMethods.time_rolling('Series', '1h', 'int', 'mean') - 3.94±0.05ms 2.16±0.01ms 0.55 series_methods.ValueCounts.time_value_counts('float') - 56.0±0.5ms 30.6±0.05ms 0.55 hash_functions.IsinWithArange.time_isin(, 2000, 2) - 5.29±0.8ms 2.88±0.01ms 0.55 rolling.VariableWindowMethods.time_rolling('Series', '50s', 'int', 'mean') - 1.12±0ms 611±5μs 0.54 groupby.GroupByMethods.time_dtype_as_field('datetime', 'rank', 'transformation') - 1.13±0ms 612±3μs 0.54 groupby.GroupByMethods.time_dtype_as_field('datetime', 'rank', 'direct') - 5.21±0.8ms 2.81±0.01ms 0.54 rolling.VariableWindowMethods.time_rolling('Series', '1d', 'int', 'mean') - 43.0±0.1ms 23.0±0.1ms 0.54 join_merge.Concat.time_concat_small_frames(0) - 88.6±1ms 47.4±0.09ms 0.54 frame_methods.Equals.time_frame_nonunique_equal - 6.80±0.01ms 3.63±0.02ms 0.53 rolling.ExpandingMethods.time_expanding('Series', 'int', 'min') - 89.8±1ms 48.0±0.2ms 0.53 frame_methods.Equals.time_frame_nonunique_unequal - 5.89±0.03ms 3.15±0.04ms 0.53 rolling.ExpandingMethods.time_expanding('Series', 'float', 'skew') - 956±4μs 507±2μs 0.53 hash_functions.IsinAlmostFullWithRandomInt.time_isin(, 13) - 6.89±0.02ms 3.63±0.02ms 0.53 rolling.ExpandingMethods.time_expanding('Series', 'int', 'max') - 1.14±0.01ms 595±6μs 0.52 groupby.GroupByMethods.time_dtype_as_group('float', 'cumprod', 'transformation') - 67.4±0.3ms 35.3±0.3ms 0.52 series_methods.IsInLongSeriesLookUpDominates.time_isin('float32', 5, 'random_hits') - 68.9±0.4ms 36.1±0.3ms 0.52 series_methods.IsInLongSeriesLookUpDominates.time_isin('int32', 5, 'random_hits') - 68.3±0.3ms 35.7±0.4ms 0.52 series_methods.IsInLongSeriesLookUpDominates.time_isin('int32', 5, 'monotone_hits') - 1.14±0.01ms 594±5μs 0.52 groupby.GroupByMethods.time_dtype_as_group('float', 'cumprod', 'direct') - 1.11±0ms 580±2μs 0.52 groupby.GroupByMethods.time_dtype_as_group('int', 'cumprod', 'transformation') - 68.3±0.4ms 35.5±0.4ms 0.52 series_methods.IsInLongSeriesLookUpDominates.time_isin('int32', 5, 'random_misses') - 68.0±0.3ms 35.3±0.3ms 0.52 series_methods.IsInLongSeriesLookUpDominates.time_isin('int32', 5, 'monotone_misses') - 66.7±0.4ms 34.6±0.4ms 0.52 series_methods.IsInLongSeriesLookUpDominates.time_isin('float32', 5, 'random_misses') - 4.66±0.7ms 2.42±0.01ms 0.52 rolling.VariableWindowMethods.time_rolling('Series', '1h', 'float', 'sum') - 67.2±0.3ms 34.8±0.3ms 0.52 series_methods.IsInLongSeriesLookUpDominates.time_isin('float32', 5, 'monotone_hits') - 66.9±0.2ms 34.6±0.3ms 0.52 series_methods.IsInLongSeriesLookUpDominates.time_isin('float32', 5, 'monotone_misses') - 6.41±0.01ms 3.31±0.06ms 0.52 rolling.ExpandingMethods.time_expanding('Series', 'int', 'skew') - 1.13±0.03ms 582±8μs 0.52 groupby.GroupByMethods.time_dtype_as_group('int', 'cumprod', 'direct') - 4.95±0.8ms 2.55±0.02ms 0.51 rolling.VariableWindowMethods.time_rolling('Series', '1h', 'int', 'sum') - 4.65±0.7ms 2.39±0.01ms 0.51 rolling.VariableWindowMethods.time_rolling('Series', '1d', 'float', 'sum') - 4.71±0.7ms 2.42±0.01ms 0.51 rolling.VariableWindowMethods.time_rolling('Series', '50s', 'float', 'sum') - 1.08±0.01ms 556±2μs 0.51 groupby.GroupByMethods.time_dtype_as_field('int', 'cumprod', 'transformation') - 1.09±0.01ms 557±2μs 0.51 groupby.GroupByMethods.time_dtype_as_field('int', 'cumprod', 'direct') - 7.78±0.02ms 3.97±0.01ms 0.51 rolling.ForwardWindowMethods.time_rolling('Series', 10, 'float', 'min') - 7.86±0.02ms 4.01±0.02ms 0.51 rolling.ForwardWindowMethods.time_rolling('Series', 10, 'float', 'max') - 5.89±0.2μs 2.93±0.03μs 0.50 categoricals.Indexing.time_get_loc - 338±2μs 167±0.9μs 0.50 hash_functions.IsinAlmostFullWithRandomInt.time_isin_outside(, 10) - 5.30±0.03ms 2.62±0.01ms 0.49 rolling.Methods.time_rolling('Series', 1000, 'float', 'mean') - 5.53±0.01ms 2.73±0.02ms 0.49 rolling.ExpandingMethods.time_expanding('DataFrame', 'float', 'count') - 1.59±0ms 782±2μs 0.49 hash_functions.IsinWithArangeSorted.time_isin(, 8000) - 5.29±0.8ms 2.57±0.01ms 0.49 rolling.VariableWindowMethods.time_rolling('Series', '50s', 'int', 'sum') - 621±1ms 302±0.3ms 0.49 series_methods.IsInLongSeriesLookUpDominates.time_isin('float64', 1000, 'monotone_misses') - 4.64±0.3ms 2.23±0.01ms 0.48 rolling.ForwardWindowMethods.time_rolling('Series', 1000, 'int', 'min') - 4.70±0.3ms 2.25±0.01ms 0.48 rolling.ForwardWindowMethods.time_rolling('Series', 1000, 'int', 'max') - 5.82±0.02ms 2.74±0.04ms 0.47 rolling.Methods.time_rolling('Series', 1000, 'int', 'mean') - 5.01±0.01ms 2.31±0.02ms 0.46 rolling.Methods.time_rolling('Series', 1000, 'float', 'sum') - 5.73±0.01ms 2.63±0.01ms 0.46 rolling.Methods.time_rolling('Series', 10, 'float', 'mean') - 11.4±0.8ms 5.20±0.02ms 0.46 stat_ops.FrameOps.time_op('mad', 'int', 1) - 1.58±0s 713±5ms 0.45 series_methods.IsInLongSeriesValuesDominate.time_isin('float64', 'random') - 5.65±0.8ms 2.53±0.01ms 0.45 rolling.VariableWindowMethods.time_rolling('Series', '1d', 'int', 'sum') - 5.72±0.02ms 2.54±0.03ms 0.44 rolling.Quantile.time_quantile('Series', 1000, 'int', 1, 'midpoint') - 5.71±0.02ms 2.53±0.02ms 0.44 rolling.Quantile.time_quantile('Series', 1000, 'int', 1, 'linear') - 6.24±0.01ms 2.77±0.02ms 0.44 rolling.Methods.time_rolling('Series', 10, 'int', 'mean') - 5.69±0.02ms 2.52±0.01ms 0.44 rolling.Quantile.time_quantile('Series', 1000, 'int', 0, 'lower') - 41.1±0.3ms 18.1±0.05ms 0.44 index_object.Range.time_iter_dec - 5.74±0.02ms 2.52±0.01ms 0.44 rolling.Quantile.time_quantile('Series', 1000, 'int', 1, 'lower') - 6.08±0.03ms 2.67±0.2ms 0.44 rolling.Quantile.time_quantile('Series', 10, 'int', 0, 'nearest') - 5.69±0.04ms 2.50±0.04ms 0.44 rolling.Quantile.time_quantile('Series', 1000, 'int', 0, 'midpoint') - 5.74±0.03ms 2.51±0.01ms 0.44 rolling.Quantile.time_quantile('Series', 1000, 'int', 1, 'nearest') - 5.74±0.02ms 2.51±0.01ms 0.44 rolling.Quantile.time_quantile('Series', 1000, 'int', 1, 'higher') - 5.70±0.02ms 2.49±0.01ms 0.44 rolling.Quantile.time_quantile('Series', 1000, 'int', 0, 'linear') - 5.72±0.01ms 2.50±0.02ms 0.44 rolling.Quantile.time_quantile('Series', 1000, 'int', 0, 'nearest') - 41.5±0.9ms 18.1±0.1ms 0.44 index_object.Range.time_iter_inc - 5.58±0.02ms 2.44±0.02ms 0.44 rolling.Methods.time_rolling('Series', 1000, 'int', 'sum') - 6.08±0.02ms 2.65±0.2ms 0.44 rolling.Quantile.time_quantile('Series', 10, 'int', 0, 'higher') - 5.71±0.04ms 2.48±0.01ms 0.44 rolling.Quantile.time_quantile('Series', 1000, 'int', 0, 'higher') - 639±0.5ms 278±0.7ms 0.44 series_methods.IsInLongSeriesLookUpDominates.time_isin('float32', 1000, 'monotone_misses') - 915±5μs 394±3μs 0.43 groupby.GroupByMethods.time_dtype_as_field('int', 'cummax', 'transformation') - 920±9μs 393±4μs 0.43 groupby.GroupByMethods.time_dtype_as_group('int', 'cummax', 'transformation') - 913±3μs 389±4μs 0.43 groupby.GroupByMethods.time_dtype_as_group('int', 'cummin', 'transformation') - 939±4μs 400±4μs 0.43 groupby.GroupByMethods.time_dtype_as_group('float', 'cumsum', 'direct') - 914±4μs 389±2μs 0.43 groupby.GroupByMethods.time_dtype_as_group('int', 'cummax', 'direct') - 912±8μs 388±3μs 0.43 groupby.GroupByMethods.time_dtype_as_field('int', 'cummin', 'direct') - 925±9μs 393±4μs 0.42 groupby.GroupByMethods.time_dtype_as_field('int', 'cummax', 'direct') - 5.45±0.02ms 2.31±0ms 0.42 rolling.Methods.time_rolling('Series', 10, 'float', 'sum') - 4.40±0.04ms 1.87±0.02ms 0.42 stat_ops.FrameOps.time_op('mean', 'float', 0) - 913±3μs 387±2μs 0.42 groupby.GroupByMethods.time_dtype_as_field('int', 'cummin', 'transformation') - 909±4μs 383±4μs 0.42 groupby.GroupByMethods.time_dtype_as_field('int', 'cumsum', 'direct') - 915±4μs 385±3μs 0.42 groupby.GroupByMethods.time_dtype_as_group('int', 'cummin', 'direct') - 912±3μs 383±3μs 0.42 groupby.GroupByMethods.time_dtype_as_group('int', 'cumsum', 'direct') - 4.38±0.04ms 1.83±0.02ms 0.42 stat_ops.FrameOps.time_op('sum', 'float', 0) - 943±7μs 395±4μs 0.42 groupby.GroupByMethods.time_dtype_as_group('float', 'cumsum', 'transformation') - 931±4μs 390±1μs 0.42 groupby.GroupByMethods.time_dtype_as_group('float', 'cummin', 'transformation') - 759±5μs 318±4μs 0.42 hash_functions.IsinAlmostFullWithRandomInt.time_isin(, 12) - 907±9μs 379±3μs 0.42 groupby.GroupByMethods.time_dtype_as_field('int', 'cumsum', 'transformation') - 936±8μs 391±3μs 0.42 groupby.GroupByMethods.time_dtype_as_group('float', 'cummax', 'direct') - 16.8±0.9ms 7.03±0.3ms 0.42 stat_ops.FrameOps.time_op('mad', 'float', 1) - 932±20μs 388±9μs 0.42 groupby.GroupByMethods.time_dtype_as_group('int', 'cumsum', 'transformation') - 934±20μs 389±3μs 0.42 groupby.GroupByMethods.time_dtype_as_group('float', 'cummax', 'transformation') - 935±2μs 388±2μs 0.42 groupby.GroupByMethods.time_dtype_as_group('float', 'cummin', 'direct') - 1.50±0s 621±2ms 0.42 series_methods.IsInLongSeriesValuesDominate.time_isin('int64', 'random') - 1.61±0s 667±5ms 0.41 series_methods.IsInLongSeriesValuesDominate.time_isin('float32', 'random') - 3.24±0.2ms 1.34±0.01ms 0.41 rolling.EWMMethods.time_ewm_times('Series', 1000, 'int', 'std') - 6.17±0.03ms 2.53±0.02ms 0.41 rolling.Quantile.time_quantile('Series', 10, 'int', 1, 'nearest') - 6.07±0.01ms 2.48±0.02ms 0.41 rolling.Quantile.time_quantile('Series', 10, 'int', 0, 'lower') - 3.28±0.2ms 1.34±0.01ms 0.41 rolling.EWMMethods.time_ewm_times('Series', 10, 'int', 'std') - 3.28±0.2ms 1.34±0ms 0.41 rolling.EWMMethods.time_ewm('Series', 1000, 'int', 'mean') - 5.99±0.02ms 2.45±0.01ms 0.41 rolling.Methods.time_rolling('Series', 10, 'int', 'sum') - 14.0±0.9ms 5.70±1ms 0.41 stat_ops.FrameOps.time_op('mad', 'float', 0) - 6.06±0.02ms 2.47±0.01ms 0.41 rolling.Quantile.time_quantile('Series', 10, 'int', 0, 'linear') - 3.28±0.2ms 1.34±0.01ms 0.41 rolling.EWMMethods.time_ewm_times('Series', 10, 'int', 'mean') - 6.06±0.02ms 2.47±0.01ms 0.41 rolling.Quantile.time_quantile('Series', 10, 'int', 0, 'midpoint') - 5.83±0.03ms 2.37±0.04ms 0.41 rolling.ForwardWindowMethods.time_rolling('Series', 10, 'float', 'mean') - 3.30±0.2ms 1.34±0.01ms 0.41 rolling.EWMMethods.time_ewm_times('Series', 1000, 'int', 'mean') - 6.16±0.03ms 2.49±0.01ms 0.40 rolling.Quantile.time_quantile('Series', 10, 'int', 1, 'lower') - 6.16±0.01ms 2.49±0.01ms 0.40 rolling.Quantile.time_quantile('Series', 10, 'int', 1, 'higher') - 6.17±0.03ms 2.49±0.02ms 0.40 rolling.Quantile.time_quantile('Series', 10, 'int', 1, 'linear') - 5.82±0.01ms 2.35±0.01ms 0.40 rolling.ForwardWindowMethods.time_rolling('Series', 1000, 'float', 'mean') - 949±8μs 383±4μs 0.40 groupby.GroupByMethods.time_dtype_as_group('datetime', 'cummin', 'transformation') - 6.17±0.1ms 2.48±0.01ms 0.40 rolling.Quantile.time_quantile('Series', 10, 'int', 1, 'midpoint') - 950±5μs 382±2μs 0.40 groupby.GroupByMethods.time_dtype_as_group('datetime', 'cummin', 'direct') - 52.1±0.09ms 20.8±0.06ms 0.40 hash_functions.IsinWithArange.time_isin(, 8000, 0) - 6.34±0.01ms 2.49±0.01ms 0.39 rolling.ForwardWindowMethods.time_rolling('Series', 10, 'int', 'mean') - 859±3μs 336±3μs 0.39 groupby.GroupByMethods.time_dtype_as_field('float', 'cumprod', 'transformation') - 3.14±0.01ms 1.23±0.02ms 0.39 rolling.EWMMethods.time_ewm('Series', 1000, 'float', 'mean') - 3.13±0.01ms 1.22±0.01ms 0.39 rolling.EWMMethods.time_ewm_times('Series', 10, 'float', 'std') - 6.34±0.01ms 2.47±0ms 0.39 rolling.ForwardWindowMethods.time_rolling('Series', 1000, 'int', 'mean') - 866±5μs 337±2μs 0.39 groupby.GroupByMethods.time_dtype_as_field('datetime', 'cummin', 'transformation') - 3.14±0.01ms 1.22±0ms 0.39 rolling.EWMMethods.time_ewm_times('Series', 1000, 'float', 'mean') - 859±2μs 335±2μs 0.39 groupby.GroupByMethods.time_dtype_as_field('float', 'cumsum', 'direct') - 3.14±0.02ms 1.22±0.01ms 0.39 rolling.EWMMethods.time_ewm_times('Series', 10, 'float', 'mean') - 866±3μs 336±3μs 0.39 groupby.GroupByMethods.time_dtype_as_field('datetime', 'cummin', 'direct') - 3.14±0.02ms 1.22±0.01ms 0.39 rolling.EWMMethods.time_ewm_times('Series', 1000, 'float', 'std') - 867±5μs 336±4μs 0.39 groupby.GroupByMethods.time_dtype_as_field('float', 'cummin', 'transformation') - 870±4μs 337±1μs 0.39 groupby.GroupByMethods.time_dtype_as_field('float', 'cummax', 'transformation') - 871±7μs 337±0.9μs 0.39 groupby.GroupByMethods.time_dtype_as_field('float', 'cummax', 'direct') - 858±7μs 332±2μs 0.39 groupby.GroupByMethods.time_dtype_as_field('float', 'cumsum', 'transformation') - 865±3μs 334±3μs 0.39 groupby.GroupByMethods.time_dtype_as_field('float', 'cumprod', 'direct') - 3.15±0.02ms 1.22±0.01ms 0.39 rolling.EWMMethods.time_ewm('Series', 10, 'float', 'mean') - 5.23±0.05ms 2.01±0ms 0.38 stat_ops.FrameOps.time_op('mean', 'float', 1) - 768±2μs 294±7μs 0.38 indexing_engines.NumericEngineIndexing.time_get_loc((, ), 'monotonic_incr') - 873±2μs 334±2μs 0.38 groupby.GroupByMethods.time_dtype_as_field('float', 'cummin', 'direct') - 3.51±0.2ms 1.33±0ms 0.38 rolling.EWMMethods.time_ewm('Series', 10, 'int', 'mean') - 1.02±0ms 388±1μs 0.38 hash_functions.IsinWithRandomFloat.time_isin(, 1300) - 1.70±0.01ms 640±3μs 0.38 hash_functions.IsinWithRandomFloat.time_isin_outside(, 2000) - 1.70±0.01ms 638±6μs 0.37 hash_functions.IsinWithRandomFloat.time_isin(, 2000) - 5.50±0.01ms 2.06±0.04ms 0.37 rolling.ForwardWindowMethods.time_rolling('Series', 1000, 'float', 'sum') - 5.51±0.02ms 2.06±0.01ms 0.37 rolling.ForwardWindowMethods.time_rolling('Series', 10, 'float', 'sum') - 5.06±0.02ms 1.89±0.03ms 0.37 stat_ops.FrameOps.time_op('sum', 'float', 1) - 27.2±2ms 10.0±3ms 0.37 stat_ops.FrameOps.time_op('sem', 'float', 0) - 5.01±0.01ms 1.84±0.03ms 0.37 rolling.ExpandingMethods.time_expanding('Series', 'float', 'mean') - 13.2±0.8ms 4.83±1ms 0.37 stat_ops.FrameOps.time_op('var', 'float', 0) - 6.22±0.03ms 2.27±0.01ms 0.37 rolling.ExpandingMethods.time_expanding('Series', 'float', 'std') - 1.12±0ms 409±4μs 0.36 hash_functions.IsinWithRandomFloat.time_isin_outside(, 1300) - 6.03±0.02ms 2.19±0.01ms 0.36 rolling.ForwardWindowMethods.time_rolling('Series', 10, 'int', 'sum') - 6.05±0.05ms 2.18±0.01ms 0.36 rolling.ForwardWindowMethods.time_rolling('Series', 1000, 'int', 'sum') - 4.72±0.02ms 1.69±0.02ms 0.36 rolling.ExpandingMethods.time_expanding('Series', 'float', 'sum') - 6.75±0.03ms 2.41±0.05ms 0.36 rolling.ExpandingMethods.time_expanding('Series', 'int', 'std') - 5.59±0.01ms 1.96±0.02ms 0.35 rolling.ExpandingMethods.time_expanding('Series', 'int', 'mean') - 26.2±2ms 9.02±0.3ms 0.34 frame_methods.Equals.time_frame_float_unequal - 5.26±0.03ms 1.81±0.04ms 0.34 rolling.ExpandingMethods.time_expanding('Series', 'int', 'sum') - 5.93±0.02ms 2.03±0.02ms 0.34 hash_functions.IsinWithRandomFloat.time_isin(, 7000) - 6.51±0.02ms 2.21±0.01ms 0.34 rolling.ForwardWindowMethods.time_rolling('Series', 10, 'int', 'min') - 772±6μs 260±2μs 0.34 series_methods.IsInDatetime64.time_isin_empty - 89.2±0.2ms 30.0±0.04ms 0.34 hash_functions.IsinWithArange.time_isin(, 1000, 2) - 6.60±0.01ms 2.22±0.01ms 0.34 rolling.ForwardWindowMethods.time_rolling('Series', 10, 'int', 'max') - 9.09±0.02ms 3.02±0.1ms 0.33 rolling.Methods.time_rolling('Series', 1000, 'float', 'count') - 646±7μs 214±2μs 0.33 hash_functions.IsinAlmostFullWithRandomInt.time_isin(, 11) - 8.99±0.01ms 2.97±0.1ms 0.33 rolling.Methods.time_rolling('Series', 1000, 'int', 'count') - 812±40μs 268±3μs 0.33 indexing_engines.NumericEngineIndexing.time_get_loc((, ), 'monotonic_incr') - 7.00±0.03ms 2.30±0.02ms 0.33 hash_functions.IsinWithRandomFloat.time_isin(, 8000) - 1.51±0s 488±1ms 0.32 series_methods.IsInLongSeriesValuesDominate.time_isin('int32', 'random') - 9.52±0.04ms 3.06±0.1ms 0.32 rolling.Methods.time_rolling('Series', 10, 'float', 'count') - 9.45±0.07ms 2.99±0.1ms 0.32 rolling.Methods.time_rolling('Series', 10, 'int', 'count') - 6.10±0.1ms 1.92±0ms 0.32 hash_functions.IsinWithRandomFloat.time_isin_outside(, 7000) - 98.7±0.3ms 30.5±0.1ms 0.31 hash_functions.IsinWithArange.time_isin(, 2000, -2) - 586±1ms 179±0.2ms 0.31 series_methods.IsInLongSeriesLookUpDominates.time_isin('int64', 1000, 'monotone_misses') - 529±6μs 162±1μs 0.31 hash_functions.IsinAlmostFullWithRandomInt.time_isin(, 10) - 7.26±0.08ms 2.19±0.01ms 0.30 hash_functions.IsinWithRandomFloat.time_isin_outside(, 8000) - 14.3±0.2ms 4.25±2ms 0.30 stat_ops.FrameOps.time_op('std', 'float', 0) - 1.02±0.01ms 297±1μs 0.29 hash_functions.IsinWithArangeSorted.time_isin(, 2000) - 8.86±0.2ms 2.56±0.02ms 0.29 arithmetic.Timeseries.time_timestamp_ops_diff(None) - 16.3±0.05ms 4.67±0.04ms 0.29 indexing.InsertColumns.time_assign_list_like_with_setitem - 939±8μs 263±3μs 0.28 series_methods.IsInDatetime64.time_isin_mismatched_dtype - 78.2±3ms 21.5±0.4ms 0.28 hash_functions.IsinWithRandomFloat.time_isin(, 70000) - 601±1ms 160±0.1ms 0.27 series_methods.IsInLongSeriesLookUpDominates.time_isin('int32', 1000, 'monotone_misses') - 1.71±0.01ms 437±2μs 0.26 series_methods.Dir.time_dir_strings - 109±0.9ms 27.0±0.3ms 0.25 hash_functions.IsinWithRandomFloat.time_isin(, 80000) - 495±0.9ms 120±0.8ms 0.24 series_methods.IsInLongSeriesLookUpDominates.time_isin('float64', 1000, 'monotone_hits') - 8.81±0.06ms 2.09±0.1ms 0.24 rolling.ExpandingMethods.time_expanding('Series', 'float', 'count') - 864±10μs 205±0.8μs 0.24 hash_functions.IsinWithArangeSorted.time_isin(, 1000) - 8.98±0.2ms 2.04±0.1ms 0.23 rolling.ExpandingMethods.time_expanding('Series', 'int', 'count') - 3.55±0.02s 800±3ms 0.23 hash_functions.IsinWithRandomFloat.time_isin(, 900000) - 3.56±0.01s 733±4ms 0.21 hash_functions.IsinWithRandomFloat.time_isin_outside(, 900000) - 513±1ms 104±0.2ms 0.20 series_methods.IsInLongSeriesLookUpDominates.time_isin('float32', 1000, 'monotone_hits') - 99.5±4ms 19.8±0.3ms 0.20 hash_functions.IsinWithRandomFloat.time_isin_outside(, 70000) - 165±0.4ms 30.8±0.03ms 0.19 hash_functions.IsinWithArange.time_isin(, 1000, -2) - 140±10ms 25.6±0.2ms 0.18 hash_functions.IsinWithRandomFloat.time_isin_outside(, 80000) - 3.14±0.02s 539±4ms 0.17 hash_functions.IsinWithRandomFloat.time_isin(, 750000) - 118±0.1ms 19.9±0.04ms 0.17 hash_functions.IsinWithArange.time_isin(, 2000, 0) - 388±0.7ms 64.5±0.8ms 0.17 series_methods.IsInLongSeriesValuesDominate.time_isin('int32', 'monotone') - 1.89±0s 309±0.3ms 0.16 series_methods.IsInLongSeriesLookUpDominates.time_isin('float64', 1000, 'random_misses') - 4.28±0.01ms 678±6μs 0.16 index_cached_properties.IndexCache.time_is_unique('CategoricalIndex') - 3.97±0.1s 600±2ms 0.15 hash_functions.IsinWithRandomFloat.time_isin_outside(, 750000) - 1.90±0s 284±0.2ms 0.15 series_methods.IsInLongSeriesLookUpDominates.time_isin('float32', 1000, 'random_misses') - 4.57±0.08ms 670±4μs 0.15 indexing.NonNumericSeriesIndexing.time_getitem_list_like('period', 'nonunique_monotonic_inc') - 465±1ms 59.1±0.2ms 0.13 series_methods.IsInLongSeriesLookUpDominates.time_isin('int64', 1000, 'monotone_hits') - 184±6ms 23.1±1ms 0.13 hash_functions.UniqueAndFactorizeArange.time_factorize(11) - 194±10ms 23.2±1ms 0.12 hash_functions.UniqueAndFactorizeArange.time_factorize(8) - 483±0.6ms 57.1±0.1ms 0.12 series_methods.IsInLongSeriesLookUpDominates.time_isin('int32', 1000, 'monotone_hits') - 1.89±0s 187±0.7ms 0.10 series_methods.IsInLongSeriesLookUpDominates.time_isin('float64', 1000, 'random_hits') - 178±6ms 17.1±2ms 0.10 hash_functions.UniqueAndFactorizeArange.time_unique(11) - 200±0.1ms 19.0±0.1ms 0.10 hash_functions.IsinWithArange.time_isin(, 1000, 0) - 588±6ms 54.0±0.5ms 0.09 categoricals.Indexing.time_reindex_missing - 187±9ms 17.1±2ms 0.09 hash_functions.UniqueAndFactorizeArange.time_unique(8) - 27.8±3ms 2.50±0.06ms 0.09 frame_methods.Equals.time_frame_float_equal - 1.90±0s 171±0.3ms 0.09 series_methods.IsInLongSeriesLookUpDominates.time_isin('float32', 1000, 'random_hits') - 10.6±0.3ms 924±10μs 0.09 frame_methods.Shift.time_shift(1) - 128±0.8ms 5.47±0.05ms 0.04 rolling.ExpandingMethods.time_expanding_groupby('Series', 'int', 'sum') - 129±0.7ms 5.49±0.06ms 0.04 rolling.ExpandingMethods.time_expanding_groupby('DataFrame', 'int', 'sum') - 129±0.9ms 5.45±0.05ms 0.04 rolling.ExpandingMethods.time_expanding_groupby('Series', 'int', 'min') - 128±0.6ms 5.44±0.04ms 0.04 rolling.ExpandingMethods.time_expanding_groupby('Series', 'int', 'mean') - 129±0.9ms 5.45±0.02ms 0.04 rolling.ExpandingMethods.time_expanding_groupby('DataFrame', 'int', 'min') - 129±1ms 5.44±0.03ms 0.04 rolling.ExpandingMethods.time_expanding_groupby('DataFrame', 'int', 'mean') - 132±1ms 5.54±0.06ms 0.04 rolling.ExpandingMethods.time_expanding_groupby('Series', 'int', 'median') - 132±0.8ms 5.48±0.03ms 0.04 rolling.ExpandingMethods.time_expanding_groupby('DataFrame', 'int', 'median') - 129±0.7ms 5.30±0.04ms 0.04 rolling.ExpandingMethods.time_expanding_groupby('DataFrame', 'int', 'max') - 128±0.8ms 5.27±0.02ms 0.04 rolling.ExpandingMethods.time_expanding_groupby('Series', 'int', 'max') - 137±0.7ms 5.53±0.02ms 0.04 rolling.ExpandingMethods.time_expanding_groupby('Series', 'int', 'std') - 137±1ms 5.48±0.05ms 0.04 rolling.ExpandingMethods.time_expanding_groupby('DataFrame', 'int', 'std') - 182±0.6ms 5.79±0.05ms 0.03 rolling.ExpandingMethods.time_expanding_groupby('Series', 'float', 'median') - 180±0.9ms 5.71±0.09ms 0.03 rolling.ExpandingMethods.time_expanding_groupby('Series', 'float', 'sum') - 180±1ms 5.70±0.1ms 0.03 rolling.ExpandingMethods.time_expanding_groupby('DataFrame', 'float', 'sum') - 1.87±0.02s 59.1±0.5ms 0.03 series_methods.IsInLongSeriesLookUpDominates.time_isin('int64', 1000, 'random_hits') - 183±0.9ms 5.78±0.05ms 0.03 rolling.ExpandingMethods.time_expanding_groupby('DataFrame', 'float', 'median') - 180±1ms 5.68±0.04ms 0.03 rolling.ExpandingMethods.time_expanding_groupby('DataFrame', 'float', 'mean') - 181±1ms 5.68±0.04ms 0.03 rolling.ExpandingMethods.time_expanding_groupby('DataFrame', 'float', 'min') - 181±1ms 5.66±0.05ms 0.03 rolling.ExpandingMethods.time_expanding_groupby('Series', 'float', 'mean') - 181±1ms 5.66±0.08ms 0.03 rolling.ExpandingMethods.time_expanding_groupby('DataFrame', 'float', 'max') - 181±1ms 5.64±0.02ms 0.03 rolling.ExpandingMethods.time_expanding_groupby('Series', 'float', 'max') - 181±1ms 5.62±0.06ms 0.03 rolling.ExpandingMethods.time_expanding_groupby('Series', 'float', 'min') - 189±0.7ms 5.83±0.07ms 0.03 rolling.ExpandingMethods.time_expanding_groupby('DataFrame', 'float', 'std') - 189±0.9ms 5.81±0.07ms 0.03 rolling.ExpandingMethods.time_expanding_groupby('Series', 'float', 'std') - 1.88±0s 57.4±0.1ms 0.03 series_methods.IsInLongSeriesLookUpDominates.time_isin('int32', 1000, 'random_hits') - 1.86±0.06s 54.8±0.1ms 0.03 series_methods.IsInLongSeriesLookUpDominates.time_isin('int64', 1000, 'random_misses') - 205±2ms 5.76±0.02ms 0.03 rolling.ExpandingMethods.time_expanding_groupby('Series', 'int', 'count') - 205±2ms 5.74±0.04ms 0.03 rolling.ExpandingMethods.time_expanding_groupby('DataFrame', 'int', 'count') - 869±40ms 23.0±1ms 0.03 hash_functions.UniqueAndFactorizeArange.time_factorize(10) - 84.1±0.5μs 2.05±0.02μs 0.02 period.Indexing.time_unique - 1.88±0s 42.8±0.1ms 0.02 series_methods.IsInLongSeriesLookUpDominates.time_isin('int32', 1000, 'random_misses') - 114±0.4ms 2.56±0.5ms 0.02 timeseries.ToDatetimeFromIntsFloats.time_nanosec_float64 - 103±1μs 2.06±0.01μs 0.02 timedelta.TimedeltaIndexing.time_unique - 862±50ms 17.1±2ms 0.02 hash_functions.UniqueAndFactorizeArange.time_unique(10) - 348±2ms 6.14±0.05ms 0.02 rolling.ExpandingMethods.time_expanding_groupby('DataFrame', 'float', 'count') - 347±2ms 6.09±0.02ms 0.02 rolling.ExpandingMethods.time_expanding_groupby('Series', 'float', 'count') - 2.30±0.1s 36.8±0.7ms 0.02 hash_functions.Float64GroupIndex.time_groupby - 1.64±0.09s 23.5±1ms 0.01 hash_functions.UniqueAndFactorizeArange.time_factorize(9) - 171±0.6μs 2.32±0.01μs 0.01 timeseries.DatetimeIndex.time_unique('dst') - 1.63±0.09s 17.2±2ms 0.01 hash_functions.UniqueAndFactorizeArange.time_unique(9) - 4.31±0.04s 9.19±0.7ms 0.00 timeseries.ToDatetimeFromIntsFloats.time_sec_float64 - 3.34±0.01ms 3.16±0.02μs 0.00 timeseries.DatetimeIndex.time_unique('tz_naive') - 3.40±0.03ms 3.15±0.01μs 0.00 timeseries.DatetimeIndex.time_unique('tz_local') - 3.43±0.03ms 3.13±0.06μs 0.00 timeseries.DatetimeIndex.time_unique('tz_aware') SOME BENCHMARKS HAVE CHANGED SIGNIFICANTLY. PERFORMANCE DECREASED. ```
jorisvandenbossche commented 3 years ago

@mroeschke possibly relevant to look into:

+         336±2ms          1.22±0s     3.65  groupby.TransformEngine.time_series_numba(True)
+         287±2ms          1.02±0s     3.55  groupby.AggEngine.time_series_numba(True)
+         289±2ms          1.02±0s     3.52  groupby.AggEngine.time_dataframe_numba(True)

(the benchmarks were only added or were changed after 1.1 release (https://github.com/pandas-dev/pandas/pull/36240), so the online benchmarks at https://pandas.pydata.org/speed/pandas/ don't show a regression)

stuartarchibald commented 3 years ago

@jorisvandenbossche Was the Numba version the same across these two test runs?

mroeschke commented 1 year ago

Given this issue is with an unsupported version of pandas, going to close for now