Commit 13bba346611553653131282a8a9074975b95ec08

[Commit Range](https://github.com/pandas-dev/pandas/compare/2c89a91c7530fdc9526fd849f31acb5ae4727021...13bba346611553653131282a8a9074975b95ec08)

Subsequent benchmarks may have skipped some commits. The link above lists the commits that are between the two benchmark runs where the regression was identified.

 - [ ] [algos.isin.IsIn.time_isin_categorical](https://pandas-dev.github.io/asv-runner/#algos.isin.IsIn.time_isin_categorical) - 32.671% (73.097us)
 - [ ] [algos.isin.IsIn.time_isin_categorical](https://pandas-dev.github.io/asv-runner/#algos.isin.IsIn.time_isin_categorical) - 25.513% (60.678us)
 - [ ] [algos.isin.IsIn.time_isin_categorical](https://pandas-dev.github.io/asv-runner/#algos.isin.IsIn.time_isin_categorical) - 72.760% (178.448us)
 - [ ] [algos.isin.IsIn.time_isin_mismatched_dtype](https://pandas-dev.github.io/asv-runner/#algos.isin.IsIn.time_isin_mismatched_dtype) - 77.040% (3.370ms)
 - [ ] [arithmetic.NumericInferOps.time_add](https://pandas-dev.github.io/asv-runner/#arithmetic.NumericInferOps.time_add) - 10.543% (10.339us)
 - [ ] [arithmetic.NumericInferOps.time_add](https://pandas-dev.github.io/asv-runner/#arithmetic.NumericInferOps.time_add) - 16.399% (16.100us)
 - [ ] [arithmetic.NumericInferOps.time_subtract](https://pandas-dev.github.io/asv-runner/#arithmetic.NumericInferOps.time_subtract) - 17.488% (17.071us)
 - [ ] [arithmetic.NumericInferOps.time_subtract](https://pandas-dev.github.io/asv-runner/#arithmetic.NumericInferOps.time_subtract) - 19.482% (19.048us)
 - [ ] [categoricals.CategoricalSlicing.time_getitem_scalar](https://pandas-dev.github.io/asv-runner/#categoricals.CategoricalSlicing.time_getitem_scalar) - 291.141% (2.539us)
 - [ ] [categoricals.CategoricalSlicing.time_getitem_scalar](https://pandas-dev.github.io/asv-runner/#categoricals.CategoricalSlicing.time_getitem_scalar) - 287.892% (2.529us)
 - [ ] [categoricals.CategoricalSlicing.time_getitem_scalar](https://pandas-dev.github.io/asv-runner/#categoricals.CategoricalSlicing.time_getitem_scalar) - 291.299% (2.552us)
 - [ ] [categoricals.Constructor.time_from_codes_all_int8](https://pandas-dev.github.io/asv-runner/#categoricals.Constructor.time_from_codes_all_int8) - 118.090% (88.099us)
 - [ ] [categoricals.Constructor.time_regular](https://pandas-dev.github.io/asv-runner/#categoricals.Constructor.time_regular) - 102.299% (19.726ms)
 - [ ] [categoricals.Repr.time_rendering](https://pandas-dev.github.io/asv-runner/#categoricals.Repr.time_rendering) - 53.943% (105.840us)
 - [ ] [ctors.SeriesConstructors.time_series_constructor](https://pandas-dev.github.io/asv-runner/#ctors.SeriesConstructors.time_series_constructor) - 27.618% (578.332us)
 - [ ] [ctors.SeriesConstructors.time_series_constructor](https://pandas-dev.github.io/asv-runner/#ctors.SeriesConstructors.time_series_constructor) - 26.580% (562.521us)
 - [ ] [ctors.SeriesConstructors.time_series_constructor](https://pandas-dev.github.io/asv-runner/#ctors.SeriesConstructors.time_series_constructor) - 274.282% (633.199us)
 - [ ] [ctors.SeriesConstructors.time_series_constructor](https://pandas-dev.github.io/asv-runner/#ctors.SeriesConstructors.time_series_constructor) - 274.486% (616.538us)
 - [ ] [ctors.SeriesConstructors.time_series_constructor](https://pandas-dev.github.io/asv-runner/#ctors.SeriesConstructors.time_series_constructor) - 255.076% (636.790us)
 - [ ] [ctors.SeriesConstructors.time_series_constructor](https://pandas-dev.github.io/asv-runner/#ctors.SeriesConstructors.time_series_constructor) - 245.514% (610.681us)
 - [ ] [ctors.SeriesDtypesConstructors.time_index_from_array_string](https://pandas-dev.github.io/asv-runner/#ctors.SeriesDtypesConstructors.time_index_from_array_string) - 353.288% (37.925us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_exclude](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_exclude) - 255.017% (118.069us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_exclude](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_exclude) - 253.256% (118.225us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_exclude](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_exclude) - 245.638% (118.810us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_exclude](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_exclude) - 265.630% (119.513us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_exclude](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_exclude) - 206.100% (122.348us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_exclude](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_exclude) - 251.031% (120.176us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_exclude](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_exclude) - 248.048% (119.360us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_exclude](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_exclude) - 241.599% (118.792us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_exclude](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_exclude) - 251.155% (118.831us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_exclude](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_exclude) - 202.655% (120.165us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_exclude](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_exclude) - 203.436% (124.147us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_exclude](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_exclude) - 203.725% (121.713us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_exclude](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_exclude) - 199.243% (119.816us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_exclude](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_exclude) - 207.130% (123.527us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_exclude](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_exclude) - 201.224% (119.471us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_exclude](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_exclude) - 201.482% (120.688us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_exclude](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_exclude) - 201.313% (120.144us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_exclude](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_exclude) - 197.546% (119.683us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_exclude](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_exclude) - 201.268% (121.576us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_exclude](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_exclude) - 209.724% (123.830us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_exclude](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_exclude) - 203.045% (121.490us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_exclude](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_exclude) - 208.626% (121.954us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_exclude](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_exclude) - 203.584% (122.402us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_exclude](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_exclude) - 206.262% (122.190us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_exclude](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_exclude) - 201.480% (121.254us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_exclude](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_exclude) - 262.613% (119.374us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_exclude](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_exclude) - 262.528% (119.465us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_exclude](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_exclude) - 360.302% (120.073us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_exclude](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_exclude) - 362.448% (123.400us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_include](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_include) - 115.773% (23.341us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_include](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_include) - 113.134% (23.577us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_include](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_include) - 102.519% (22.194us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_include](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_include) - 112.007% (22.555us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_include](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_include) - 70.969% (22.679us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_include](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_include) - 99.627% (22.196us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_include](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_include) - 103.991% (23.268us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_include](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_include) - 94.167% (22.376us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_include](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_include) - 102.170% (22.353us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_include](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_include) - 74.188% (23.989us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_include](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_include) - 69.458% (22.658us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_include](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_include) - 74.349% (23.846us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_include](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_include) - 72.171% (23.263us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_include](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_include) - 68.861% (22.316us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_include](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_include) - 71.927% (23.099us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_include](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_include) - 70.798% (22.681us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_include](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_include) - 72.045% (23.036us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_include](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_include) - 72.688% (23.406us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_include](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_include) - 80.110% (25.348us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_include](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_include) - 77.560% (24.051us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_include](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_include) - 72.295% (23.435us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_include](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_include) - 72.760% (23.571us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_include](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_include) - 66.832% (22.028us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_include](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_include) - 75.154% (23.619us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_include](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_include) - 71.729% (23.117us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_include](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_include) - 115.831% (22.946us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_include](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_include) - 112.282% (22.478us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_include](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_include) - 197.140% (22.821us)
 - [ ] [dtypes.SelectDtypes.time_select_dtype_string_include](https://pandas-dev.github.io/asv-runner/#dtypes.SelectDtypes.time_select_dtype_string_include) - 196.575% (23.099us)
 - [ ] [frame_ctor.FromDicts.time_nested_dict](https://pandas-dev.github.io/asv-runner/#frame_ctor.FromDicts.time_nested_dict) - 20.221% (3.928ms)
 - [ ] [frame_ctor.FromDicts.time_nested_dict_columns](https://pandas-dev.github.io/asv-runner/#frame_ctor.FromDicts.time_nested_dict_columns) - 22.851% (4.456ms)
 - [ ] [frame_methods.Duplicated.time_frame_duplicated_wide](https://pandas-dev.github.io/asv-runner/#frame_methods.Duplicated.time_frame_duplicated_wide) - 85.671% (39.420ms)
 - [ ] [frame_methods.Fillna.time_fillna](https://pandas-dev.github.io/asv-runner/#frame_methods.Fillna.time_fillna) - 10.487% (1.093ms)
 - [ ] [frame_methods.Fillna.time_fillna](https://pandas-dev.github.io/asv-runner/#frame_methods.Fillna.time_fillna) - 46.070% (13.587ms)
 - [ ] [frame_methods.Fillna.time_fillna](https://pandas-dev.github.io/asv-runner/#frame_methods.Fillna.time_fillna) - 41.179% (11.947ms)
 - [ ] [frame_methods.Iteration.time_iteritems_indexing](https://pandas-dev.github.io/asv-runner/#frame_methods.Iteration.time_iteritems_indexing) - 48.694% (20.732ms)
 - [ ] [frame_methods.MemoryUsage.time_memory_usage](https://pandas-dev.github.io/asv-runner/#frame_methods.MemoryUsage.time_memory_usage) - 42.865% (90.656us)
 - [ ] [gil.ParallelReadCSV.time_read_csv](https://pandas-dev.github.io/asv-runner/#gil.ParallelReadCSV.time_read_csv) - 224.263% (8.191ms)
 - [ ] [groupby.AggFunctions.time_different_str_functions_singlecol](https://pandas-dev.github.io/asv-runner/#groupby.AggFunctions.time_different_str_functions_singlecol) - 10.173% (458.579us)
 - [ ] [groupby.Apply.time_copy_function_multi_col](https://pandas-dev.github.io/asv-runner/#groupby.Apply.time_copy_function_multi_col) - 42.282% (135.376ms)
 - [ ] [groupby.Apply.time_copy_overhead_single_col](https://pandas-dev.github.io/asv-runner/#groupby.Apply.time_copy_overhead_single_col) - 84.744% (55.706ms)
 - [ ] [groupby.Apply.time_scalar_function_multi_col](https://pandas-dev.github.io/asv-runner/#groupby.Apply.time_scalar_function_multi_col) - 146.467% (48.367ms)
 - [ ] [groupby.Apply.time_scalar_function_single_col](https://pandas-dev.github.io/asv-runner/#groupby.Apply.time_scalar_function_single_col) - 140.249% (20.409ms)
 - [ ] [groupby.CountMultiInt.time_multi_int_count](https://pandas-dev.github.io/asv-runner/#groupby.CountMultiInt.time_multi_int_count) - 20.018% (248.290us)
 - [ ] [groupby.CountMultiInt.time_multi_int_nunique](https://pandas-dev.github.io/asv-runner/#groupby.CountMultiInt.time_multi_int_nunique) - 14.466% (298.674us)
 - [ ] [groupby.Fillna.time_srs_bfill](https://pandas-dev.github.io/asv-runner/#groupby.Fillna.time_srs_bfill) - 5.508% (10.907us)
 - [ ] [groupby.GroupByMethods.time_dtype_as_field](https://pandas-dev.github.io/asv-runner/#groupby.GroupByMethods.time_dtype_as_field) - 15.477% (57.994us)
 - [ ] [groupby.GroupByMethods.time_dtype_as_field](https://pandas-dev.github.io/asv-runner/#groupby.GroupByMethods.time_dtype_as_field) - 12.743% (57.318us)
 - [ ] [groupby.GroupByMethods.time_dtype_as_field](https://pandas-dev.github.io/asv-runner/#groupby.GroupByMethods.time_dtype_as_field) - 17.874% (66.281us)
 - [ ] [groupby.GroupByMethods.time_dtype_as_field](https://pandas-dev.github.io/asv-runner/#groupby.GroupByMethods.time_dtype_as_field) - 20.840% (74.912us)
 - [ ] [groupby.GroupByMethods.time_dtype_as_field](https://pandas-dev.github.io/asv-runner/#groupby.GroupByMethods.time_dtype_as_field) - 27.495% (98.606us)
 - [ ] [groupby.GroupByMethods.time_dtype_as_field](https://pandas-dev.github.io/asv-runner/#groupby.GroupByMethods.time_dtype_as_field) - 18.548% (68.591us)
 - [ ] [groupby.GroupByMethods.time_dtype_as_field](https://pandas-dev.github.io/asv-runner/#groupby.GroupByMethods.time_dtype_as_field) - 21.782% (78.881us)
 - [ ] [groupby.GroupByMethods.time_dtype_as_field](https://pandas-dev.github.io/asv-runner/#groupby.GroupByMethods.time_dtype_as_field) - 42.134% (64.234us)
 - [ ] [groupby.GroupByMethods.time_dtype_as_field](https://pandas-dev.github.io/asv-runner/#groupby.GroupByMethods.time_dtype_as_field) - 39.272% (61.369us)
 - [ ] [groupby.GroupByMethods.time_dtype_as_field](https://pandas-dev.github.io/asv-runner/#groupby.GroupByMethods.time_dtype_as_field) - 102.455% (149.748us)
 - [ ] [groupby.GroupByMethods.time_dtype_as_field](https://pandas-dev.github.io/asv-runner/#groupby.GroupByMethods.time_dtype_as_field) - 88.888% (60.937us)
 - [ ] [groupby.GroupByMethods.time_dtype_as_field](https://pandas-dev.github.io/asv-runner/#groupby.GroupByMethods.time_dtype_as_field) - 111.020% (156.565us)
 - [ ] [groupby.GroupByMethods.time_dtype_as_field](https://pandas-dev.github.io/asv-runner/#groupby.GroupByMethods.time_dtype_as_field) - 31.984% (47.602us)
 - [ ] [groupby.GroupByMethods.time_dtype_as_field](https://pandas-dev.github.io/asv-runner/#groupby.GroupByMethods.time_dtype_as_field) - 9.239% (96.486us)
 - [ ] [groupby.GroupByMethods.time_dtype_as_field](https://pandas-dev.github.io/asv-runner/#groupby.GroupByMethods.time_dtype_as_field) - 192.795% (81.372us)
 - [ ] [groupby.GroupByMethods.time_dtype_as_field](https://pandas-dev.github.io/asv-runner/#groupby.GroupByMethods.time_dtype_as_field) - 68.371% (64.285us)
 - [ ] [groupby.GroupByMethods.time_dtype_as_field](https://pandas-dev.github.io/asv-runner/#groupby.GroupByMethods.time_dtype_as_field) - 89.891% (18.335ms)
 - [ ] [groupby.GroupByMethods.time_dtype_as_field](https://pandas-dev.github.io/asv-runner/#groupby.GroupByMethods.time_dtype_as_field) - 9.766% (97.002us)
 - [ ] [groupby.GroupByMethods.time_dtype_as_group](https://pandas-dev.github.io/asv-runner/#groupby.GroupByMethods.time_dtype_as_group) - 10.865% (2.626ms)
 - [ ] [groupby.GroupByMethods.time_dtype_as_group](https://pandas-dev.github.io/asv-runner/#groupby.GroupByMethods.time_dtype_as_group) - 24.980% (105.437us)
 - [ ] [groupby.GroupByMethods.time_dtype_as_group](https://pandas-dev.github.io/asv-runner/#groupby.GroupByMethods.time_dtype_as_group) - 18.584% (80.051us)
 - [ ] [groupby.GroupByMethods.time_dtype_as_group](https://pandas-dev.github.io/asv-runner/#groupby.GroupByMethods.time_dtype_as_group) - 7.344% (1.393ms)
 - [ ] [groupby.GroupByMethods.time_dtype_as_group](https://pandas-dev.github.io/asv-runner/#groupby.GroupByMethods.time_dtype_as_group) - 16.194% (63.701us)
 - [ ] [groupby.GroupByMethods.time_dtype_as_group](https://pandas-dev.github.io/asv-runner/#groupby.GroupByMethods.time_dtype_as_group) - 18.366% (75.317us)
 - [ ] [groupby.GroupByMethods.time_dtype_as_group](https://pandas-dev.github.io/asv-runner/#groupby.GroupByMethods.time_dtype_as_group) - 10.737% (13.532us)
 - [ ] [groupby.GroupByMethods.time_dtype_as_group](https://pandas-dev.github.io/asv-runner/#groupby.GroupByMethods.time_dtype_as_group) - 8.438% (1.577ms)
 - [ ] [groupby.Groups.time_series_indices](https://pandas-dev.github.io/asv-runner/#groupby.Groups.time_series_indices) - 41.542% (30.100ms)
 - [ ] [groupby.RankWithTies.time_rank_ties](https://pandas-dev.github.io/asv-runner/#groupby.RankWithTies.time_rank_ties) - 42.515% (302.212us)
 - [ ] [groupby.RankWithTies.time_rank_ties](https://pandas-dev.github.io/asv-runner/#groupby.RankWithTies.time_rank_ties) - 44.614% (316.911us)
 - [ ] [groupby.RankWithTies.time_rank_ties](https://pandas-dev.github.io/asv-runner/#groupby.RankWithTies.time_rank_ties) - 41.836% (299.011us)
 - [ ] [groupby.RankWithTies.time_rank_ties](https://pandas-dev.github.io/asv-runner/#groupby.RankWithTies.time_rank_ties) - 43.338% (307.405us)
 - [ ] [groupby.RankWithTies.time_rank_ties](https://pandas-dev.github.io/asv-runner/#groupby.RankWithTies.time_rank_ties) - 43.900% (310.305us)
 - [ ] [groupby.RankWithTies.time_rank_ties](https://pandas-dev.github.io/asv-runner/#groupby.RankWithTies.time_rank_ties) - 44.649% (301.789us)
 - [ ] [groupby.RankWithTies.time_rank_ties](https://pandas-dev.github.io/asv-runner/#groupby.RankWithTies.time_rank_ties) - 44.899% (303.829us)
 - [ ] [groupby.RankWithTies.time_rank_ties](https://pandas-dev.github.io/asv-runner/#groupby.RankWithTies.time_rank_ties) - 43.656% (297.189us)
 - [ ] [groupby.RankWithTies.time_rank_ties](https://pandas-dev.github.io/asv-runner/#groupby.RankWithTies.time_rank_ties) - 45.212% (304.209us)
 - [ ] [groupby.RankWithTies.time_rank_ties](https://pandas-dev.github.io/asv-runner/#groupby.RankWithTies.time_rank_ties) - 45.176% (304.164us)
 - [ ] [groupby.RankWithTies.time_rank_ties](https://pandas-dev.github.io/asv-runner/#groupby.RankWithTies.time_rank_ties) - 45.461% (308.005us)
 - [ ] [groupby.RankWithTies.time_rank_ties](https://pandas-dev.github.io/asv-runner/#groupby.RankWithTies.time_rank_ties) - 41.735% (287.239us)
 - [ ] [groupby.RankWithTies.time_rank_ties](https://pandas-dev.github.io/asv-runner/#groupby.RankWithTies.time_rank_ties) - 45.403% (307.072us)
 - [ ] [groupby.RankWithTies.time_rank_ties](https://pandas-dev.github.io/asv-runner/#groupby.RankWithTies.time_rank_ties) - 45.414% (309.079us)
 - [ ] [groupby.RankWithTies.time_rank_ties](https://pandas-dev.github.io/asv-runner/#groupby.RankWithTies.time_rank_ties) - 45.450% (308.468us)
 - [ ] [groupby.RankWithTies.time_rank_ties](https://pandas-dev.github.io/asv-runner/#groupby.RankWithTies.time_rank_ties) - 46.903% (313.010us)
 - [ ] [groupby.RankWithTies.time_rank_ties](https://pandas-dev.github.io/asv-runner/#groupby.RankWithTies.time_rank_ties) - 46.024% (305.398us)
 - [ ] [groupby.RankWithTies.time_rank_ties](https://pandas-dev.github.io/asv-runner/#groupby.RankWithTies.time_rank_ties) - 45.627% (305.790us)
 - [ ] [groupby.RankWithTies.time_rank_ties](https://pandas-dev.github.io/asv-runner/#groupby.RankWithTies.time_rank_ties) - 46.119% (305.633us)
 - [ ] [groupby.RankWithTies.time_rank_ties](https://pandas-dev.github.io/asv-runner/#groupby.RankWithTies.time_rank_ties) - 46.836% (311.045us)
 - [ ] [groupby.Shift.time_defaults](https://pandas-dev.github.io/asv-runner/#groupby.Shift.time_defaults) - 109.521% (343.314us)
 - [ ] [groupby.Shift.time_fill_value](https://pandas-dev.github.io/asv-runner/#groupby.Shift.time_fill_value) - 117.093% (343.437us)
 - [ ] [groupby.String.time_str_func](https://pandas-dev.github.io/asv-runner/#groupby.String.time_str_func) - 25.797% (1.961ms)
 - [ ] [groupby.String.time_str_func](https://pandas-dev.github.io/asv-runner/#groupby.String.time_str_func) - 28.995% (2.156ms)
 - [ ] [groupby.String.time_str_func](https://pandas-dev.github.io/asv-runner/#groupby.String.time_str_func) - 49.949% (2.945ms)
 - [ ] [groupby.String.time_str_func](https://pandas-dev.github.io/asv-runner/#groupby.String.time_str_func) - 47.317% (2.888ms)
 - [ ] [groupby.String.time_str_func](https://pandas-dev.github.io/asv-runner/#groupby.String.time_str_func) - 70.441% (32.967ms)
 - [ ] [groupby.String.time_str_func](https://pandas-dev.github.io/asv-runner/#groupby.String.time_str_func) - 71.997% (33.843ms)
 - [ ] [groupby.SumBools.time_groupby_sum_booleans](https://pandas-dev.github.io/asv-runner/#groupby.SumBools.time_groupby_sum_booleans) - 56.151% (234.913us)
 - [ ] [groupby.Transform.time_transform_lambda_max](https://pandas-dev.github.io/asv-runner/#groupby.Transform.time_transform_lambda_max) - 8.696% (8.841ms)
 - [ ] [groupby.TransformNaN.time_first](https://pandas-dev.github.io/asv-runner/#groupby.TransformNaN.time_first) - 37.661% (239.875us)
 - [ ] [index_object.Indexing.time_get_loc_non_unique](https://pandas-dev.github.io/asv-runner/#index_object.Indexing.time_get_loc_non_unique) - 76.952% (70.176ms)
 - [ ] [index_object.SetOperations.time_operation](https://pandas-dev.github.io/asv-runner/#index_object.SetOperations.time_operation) - 176.068% (31.664ms)
 - [ ] [index_object.SetOperations.time_operation](https://pandas-dev.github.io/asv-runner/#index_object.SetOperations.time_operation) - 185.737% (26.041ms)
 - [ ] [index_object.SetOperations.time_operation](https://pandas-dev.github.io/asv-runner/#index_object.SetOperations.time_operation) - 282.226% (28.799ms)
 - [ ] [index_object.SetOperations.time_operation](https://pandas-dev.github.io/asv-runner/#index_object.SetOperations.time_operation) - 161.509% (22.764ms)
 - [ ] [index_object.SetOperations.time_operation](https://pandas-dev.github.io/asv-runner/#index_object.SetOperations.time_operation) - 162.505% (22.407ms)
 - [ ] [indexing.CategoricalIndexIndexing.time_get_indexer_list](https://pandas-dev.github.io/asv-runner/#indexing.CategoricalIndexIndexing.time_get_indexer_list) - 123.171% (256.216us)
 - [ ] [indexing.CategoricalIndexIndexing.time_get_indexer_list](https://pandas-dev.github.io/asv-runner/#indexing.CategoricalIndexIndexing.time_get_indexer_list) - 116.675% (239.605us)
 - [ ] [indexing.CategoricalIndexIndexing.time_get_indexer_list](https://pandas-dev.github.io/asv-runner/#indexing.CategoricalIndexIndexing.time_get_indexer_list) - 124.266% (254.565us)
 - [ ] [indexing.CategoricalIndexIndexing.time_getitem_scalar](https://pandas-dev.github.io/asv-runner/#indexing.CategoricalIndexIndexing.time_getitem_scalar) - 224.204% (2.529us)
 - [ ] [indexing.CategoricalIndexIndexing.time_getitem_scalar](https://pandas-dev.github.io/asv-runner/#indexing.CategoricalIndexIndexing.time_getitem_scalar) - 225.974% (2.535us)
 - [ ] [indexing.CategoricalIndexIndexing.time_getitem_scalar](https://pandas-dev.github.io/asv-runner/#indexing.CategoricalIndexIndexing.time_getitem_scalar) - 229.769% (2.576us)
 - [ ] [indexing.GetItemSingleColumn.time_frame_getitem_single_column_label](https://pandas-dev.github.io/asv-runner/#indexing.GetItemSingleColumn.time_frame_getitem_single_column_label) - 36.614% (3.070us)
 - [ ] [indexing.NonNumericSeriesIndexing.time_getitem_label_slice](https://pandas-dev.github.io/asv-runner/#indexing.NonNumericSeriesIndexing.time_getitem_label_slice) - 23372.301% (4.070ms)
 - [ ] [indexing.NonNumericSeriesIndexing.time_getitem_list_like](https://pandas-dev.github.io/asv-runner/#indexing.NonNumericSeriesIndexing.time_getitem_list_like) - 38.178% (113.722us)
 - [ ] [indexing.NonNumericSeriesIndexing.time_getitem_list_like](https://pandas-dev.github.io/asv-runner/#indexing.NonNumericSeriesIndexing.time_getitem_list_like) - 105.644% (254.445us)
 - [ ] [indexing.NonNumericSeriesIndexing.time_getitem_pos_slice](https://pandas-dev.github.io/asv-runner/#indexing.NonNumericSeriesIndexing.time_getitem_pos_slice) - 30943.577% (4.102ms)
 - [ ] [inference.ToDatetimeCache.time_dup_string_dates](https://pandas-dev.github.io/asv-runner/#inference.ToDatetimeCache.time_dup_string_dates) - 34.672% (991.133us)
 - [ ] [inference.ToDatetimeCache.time_dup_string_dates_and_format](https://pandas-dev.github.io/asv-runner/#inference.ToDatetimeCache.time_dup_string_dates_and_format) - 35.442% (966.679us)
 - [ ] [inference.ToDatetimeCache.time_dup_string_tzoffset_dates](https://pandas-dev.github.io/asv-runner/#inference.ToDatetimeCache.time_dup_string_tzoffset_dates) - 31.328% (993.143us)
 - [ ] [inference.ToDatetimeFormat.time_different_offset_to_utc](https://pandas-dev.github.io/asv-runner/#inference.ToDatetimeFormat.time_different_offset_to_utc) - 41.817% (12.693ms)
 - [ ] [inference.ToDatetimeFormat.time_exact](https://pandas-dev.github.io/asv-runner/#inference.ToDatetimeFormat.time_exact) - 72.858% (9.158ms)
 - [ ] [inference.ToDatetimeFormat.time_no_exact](https://pandas-dev.github.io/asv-runner/#inference.ToDatetimeFormat.time_no_exact) - 108.447% (12.559ms)
 - [ ] [inference.ToDatetimeFormat.time_same_offset](https://pandas-dev.github.io/asv-runner/#inference.ToDatetimeFormat.time_same_offset) - 41.775% (12.241ms)
 - [ ] [inference.ToDatetimeFormat.time_same_offset_to_utc](https://pandas-dev.github.io/asv-runner/#inference.ToDatetimeFormat.time_same_offset_to_utc) - 43.304% (12.659ms)
 - [ ] [inference.ToDatetimeFormatQuarters.time_infer_quarter](https://pandas-dev.github.io/asv-runner/#inference.ToDatetimeFormatQuarters.time_infer_quarter) - 81.921% (2.027ms)
 - [ ] [inference.ToDatetimeNONISO8601.time_different_offset](https://pandas-dev.github.io/asv-runner/#inference.ToDatetimeNONISO8601.time_different_offset) - 31.698% (1.047ms)
 - [ ] [inference.ToDatetimeNONISO8601.time_same_offset](https://pandas-dev.github.io/asv-runner/#inference.ToDatetimeNONISO8601.time_same_offset) - 31.589% (1.030ms)
 - [ ] [inference.ToDatetimeYYYYMMDD.time_format_YYYYMMDD](https://pandas-dev.github.io/asv-runner/#inference.ToDatetimeYYYYMMDD.time_format_YYYYMMDD) - 68.778% (654.210us)
 - [ ] [inference.ToNumeric.time_from_numeric_str](https://pandas-dev.github.io/asv-runner/#inference.ToNumeric.time_from_numeric_str) - 27.023% (509.153us)
 - [ ] [io.csv.ParseDateComparison.time_read_csv_dayfirst](https://pandas-dev.github.io/asv-runner/#io.csv.ParseDateComparison.time_read_csv_dayfirst) - 47.615% (1.120ms)
 - [ ] [io.csv.ParseDateComparison.time_to_datetime_dayfirst](https://pandas-dev.github.io/asv-runner/#io.csv.ParseDateComparison.time_to_datetime_dayfirst) - 59.232% (1.365ms)
 - [ ] [io.csv.ParseDateComparison.time_to_datetime_format_DD_MM_YYYY](https://pandas-dev.github.io/asv-runner/#io.csv.ParseDateComparison.time_to_datetime_format_DD_MM_YYYY) - 62.319% (1.326ms)
 - [ ] [io.csv.ReadCSVCParserLowMemory.peakmem_over_2gb_input](https://pandas-dev.github.io/asv-runner/#io.csv.ReadCSVCParserLowMemory.peakmem_over_2gb_input) - 19.078% (2146865152.000s)
 - [ ] [io.csv.ReadCSVCategorical.time_convert_direct](https://pandas-dev.github.io/asv-runner/#io.csv.ReadCSVCategorical.time_convert_direct) - 57.861% (68.121ms)
 - [ ] [io.csv.ReadCSVCategorical.time_convert_post](https://pandas-dev.github.io/asv-runner/#io.csv.ReadCSVCategorical.time_convert_post) - 47.614% (17.453ms)
 - [ ] [io.csv.ReadCSVCategorical.time_convert_post](https://pandas-dev.github.io/asv-runner/#io.csv.ReadCSVCategorical.time_convert_post) - 17.867% (18.719ms)
 - [ ] [io.csv.ReadCSVComment.time_comment](https://pandas-dev.github.io/asv-runner/#io.csv.ReadCSVComment.time_comment) - 142.449% (17.360ms)
 - [ ] [io.csv.ReadCSVComment.time_comment](https://pandas-dev.github.io/asv-runner/#io.csv.ReadCSVComment.time_comment) - 141.219% (17.255ms)
 - [ ] [io.csv.ReadCSVConcatDatetimeBadDateValue.time_read_csv](https://pandas-dev.github.io/asv-runner/#io.csv.ReadCSVConcatDatetimeBadDateValue.time_read_csv) - 73.345% (2.650ms)
 - [ ] [io.csv.ReadCSVDInferDatetimeFormat.time_read_csv](https://pandas-dev.github.io/asv-runner/#io.csv.ReadCSVDInferDatetimeFormat.time_read_csv) - 15.636% (164.090us)
 - [ ] [io.csv.ReadCSVDInferDatetimeFormat.time_read_csv](https://pandas-dev.github.io/asv-runner/#io.csv.ReadCSVDInferDatetimeFormat.time_read_csv) - 21.149% (176.075us)
 - [ ] [io.csv.ReadCSVDInferDatetimeFormat.time_read_csv](https://pandas-dev.github.io/asv-runner/#io.csv.ReadCSVDInferDatetimeFormat.time_read_csv) - 18.240% (163.266us)
 - [ ] [io.csv.ReadCSVFloatPrecision.time_read_csv](https://pandas-dev.github.io/asv-runner/#io.csv.ReadCSVFloatPrecision.time_read_csv) - 31.334% (227.938us)
 - [ ] [io.csv.ReadCSVFloatPrecision.time_read_csv](https://pandas-dev.github.io/asv-runner/#io.csv.ReadCSVFloatPrecision.time_read_csv) - 32.741% (236.523us)
 - [ ] [io.csv.ReadCSVFloatPrecision.time_read_csv](https://pandas-dev.github.io/asv-runner/#io.csv.ReadCSVFloatPrecision.time_read_csv) - 62.887% (498.836us)
 - [ ] [io.csv.ReadCSVFloatPrecision.time_read_csv](https://pandas-dev.github.io/asv-runner/#io.csv.ReadCSVFloatPrecision.time_read_csv) - 61.904% (491.784us)
 - [ ] [io.csv.ReadCSVFloatPrecision.time_read_csv](https://pandas-dev.github.io/asv-runner/#io.csv.ReadCSVFloatPrecision.time_read_csv) - 63.367% (499.004us)
 - [ ] [io.csv.ReadCSVFloatPrecision.time_read_csv](https://pandas-dev.github.io/asv-runner/#io.csv.ReadCSVFloatPrecision.time_read_csv) - 30.174% (217.532us)
 - [ ] [io.csv.ReadCSVFloatPrecision.time_read_csv](https://pandas-dev.github.io/asv-runner/#io.csv.ReadCSVFloatPrecision.time_read_csv) - 32.073% (234.013us)
 - [ ] [io.csv.ReadCSVFloatPrecision.time_read_csv](https://pandas-dev.github.io/asv-runner/#io.csv.ReadCSVFloatPrecision.time_read_csv) - 57.898% (454.386us)
 - [ ] [io.csv.ReadCSVFloatPrecision.time_read_csv](https://pandas-dev.github.io/asv-runner/#io.csv.ReadCSVFloatPrecision.time_read_csv) - 59.821% (474.144us)
 - [ ] [io.csv.ReadCSVFloatPrecision.time_read_csv](https://pandas-dev.github.io/asv-runner/#io.csv.ReadCSVFloatPrecision.time_read_csv) - 57.686% (454.887us)
 - [ ] [io.csv.ReadCSVFloatPrecision.time_read_csv_python_engine](https://pandas-dev.github.io/asv-runner/#io.csv.ReadCSVFloatPrecision.time_read_csv_python_engine) - 30.195% (466.916us)
 - [ ] [io.csv.ReadCSVFloatPrecision.time_read_csv_python_engine](https://pandas-dev.github.io/asv-runner/#io.csv.ReadCSVFloatPrecision.time_read_csv_python_engine) - 32.177% (499.284us)
 - [ ] [io.csv.ReadCSVFloatPrecision.time_read_csv_python_engine](https://pandas-dev.github.io/asv-runner/#io.csv.ReadCSVFloatPrecision.time_read_csv_python_engine) - 30.484% (473.153us)
 - [ ] [io.csv.ReadCSVFloatPrecision.time_read_csv_python_engine](https://pandas-dev.github.io/asv-runner/#io.csv.ReadCSVFloatPrecision.time_read_csv_python_engine) - 30.547% (474.498us)
 - [ ] [io.csv.ReadCSVFloatPrecision.time_read_csv_python_engine](https://pandas-dev.github.io/asv-runner/#io.csv.ReadCSVFloatPrecision.time_read_csv_python_engine) - 28.823% (453.393us)
 - [ ] [io.csv.ReadCSVFloatPrecision.time_read_csv_python_engine](https://pandas-dev.github.io/asv-runner/#io.csv.ReadCSVFloatPrecision.time_read_csv_python_engine) - 28.901% (455.332us)
 - [ ] [io.csv.ReadCSVParseDates.time_baseline](https://pandas-dev.github.io/asv-runner/#io.csv.ReadCSVParseDates.time_baseline) - 52.281% (345.706us)
 - [ ] [io.csv.ReadCSVParseDates.time_baseline](https://pandas-dev.github.io/asv-runner/#io.csv.ReadCSVParseDates.time_baseline) - 37.733% (317.783us)
 - [ ] [io.csv.ReadCSVParseSpecialDate.time_read_special_date](https://pandas-dev.github.io/asv-runner/#io.csv.ReadCSVParseSpecialDate.time_read_special_date) - 52.542% (1.045ms)
 - [ ] [io.csv.ReadCSVParseSpecialDate.time_read_special_date](https://pandas-dev.github.io/asv-runner/#io.csv.ReadCSVParseSpecialDate.time_read_special_date) - 60.796% (2.815ms)
 - [ ] [io.csv.ReadCSVParseSpecialDate.time_read_special_date](https://pandas-dev.github.io/asv-runner/#io.csv.ReadCSVParseSpecialDate.time_read_special_date) - 48.573% (1.155ms)
 - [ ] [io.csv.ReadCSVSkipRows.time_skipprows](https://pandas-dev.github.io/asv-runner/#io.csv.ReadCSVSkipRows.time_skipprows) - 17.491% (1.497ms)
 - [ ] [io.csv.ReadUint64Integers.time_read_uint64_na_values](https://pandas-dev.github.io/asv-runner/#io.csv.ReadUint64Integers.time_read_uint64_na_values) - 22.338% (713.262us)
 - [ ] [io.csv.ReadUint64Integers.time_read_uint64_neg_values](https://pandas-dev.github.io/asv-runner/#io.csv.ReadUint64Integers.time_read_uint64_neg_values) - 21.809% (656.344us)
 - [ ] [io.hdf.HDF.time_read_hdf](https://pandas-dev.github.io/asv-runner/#io.hdf.HDF.time_read_hdf) - 54.423% (6.815ms)
 - [ ] [io.hdf.HDF.time_read_hdf](https://pandas-dev.github.io/asv-runner/#io.hdf.HDF.time_read_hdf) - 11.370% (4.289ms)
 - [ ] [io.hdf.HDFStoreDataFrame.time_read_store](https://pandas-dev.github.io/asv-runner/#io.hdf.HDFStoreDataFrame.time_read_store) - 23.708% (2.079ms)
 - [ ] [io.hdf.HDFStoreDataFrame.time_read_store_mixed](https://pandas-dev.github.io/asv-runner/#io.hdf.HDFStoreDataFrame.time_read_store_mixed) - 71.734% (17.189ms)
 - [ ] [io.hdf.HDFStoreDataFrame.time_write_store_mixed](https://pandas-dev.github.io/asv-runner/#io.hdf.HDFStoreDataFrame.time_write_store_mixed) - 24.405% (3.153ms)
 - [ ] [io.sql.ReadSQLTable.time_read_sql_table_parse_dates](https://pandas-dev.github.io/asv-runner/#io.sql.ReadSQLTable.time_read_sql_table_parse_dates) - 20.087% (1.955ms)
 - [ ] [io.sql.WriteSQLDtypes.time_read_sql_query_select_column](https://pandas-dev.github.io/asv-runner/#io.sql.WriteSQLDtypes.time_read_sql_query_select_column) - 16.450% (580.729us)
 - [ ] [io.sql.WriteSQLDtypes.time_read_sql_query_select_column](https://pandas-dev.github.io/asv-runner/#io.sql.WriteSQLDtypes.time_read_sql_query_select_column) - 17.648% (625.315us)
 - [ ] [io.sql.WriteSQLDtypes.time_read_sql_query_select_column](https://pandas-dev.github.io/asv-runner/#io.sql.WriteSQLDtypes.time_read_sql_query_select_column) - 15.113% (536.990us)
 - [ ] [io.sql.WriteSQLDtypes.time_read_sql_query_select_column](https://pandas-dev.github.io/asv-runner/#io.sql.WriteSQLDtypes.time_read_sql_query_select_column) - 14.882% (539.036us)
 - [ ] [io.sql.WriteSQLDtypes.time_to_sql_dataframe_column](https://pandas-dev.github.io/asv-runner/#io.sql.WriteSQLDtypes.time_to_sql_dataframe_column) - 16.827% (1.913ms)
 - [ ] [io.sql.WriteSQLDtypes.time_to_sql_dataframe_column](https://pandas-dev.github.io/asv-runner/#io.sql.WriteSQLDtypes.time_to_sql_dataframe_column) - 15.465% (1.741ms)
 - [ ] [io.stata.Stata.time_read_stata](https://pandas-dev.github.io/asv-runner/#io.stata.Stata.time_read_stata) - 21.084% (6.802ms)
 - [ ] [io.stata.Stata.time_read_stata](https://pandas-dev.github.io/asv-runner/#io.stata.Stata.time_read_stata) - 17.874% (6.513ms)
 - [ ] [io.stata.Stata.time_read_stata](https://pandas-dev.github.io/asv-runner/#io.stata.Stata.time_read_stata) - 20.387% (7.030ms)
 - [ ] [io.stata.Stata.time_read_stata](https://pandas-dev.github.io/asv-runner/#io.stata.Stata.time_read_stata) - 23.618% (8.115ms)
 - [ ] [io.stata.Stata.time_read_stata](https://pandas-dev.github.io/asv-runner/#io.stata.Stata.time_read_stata) - 19.357% (6.740ms)
 - [ ] [io.stata.Stata.time_read_stata](https://pandas-dev.github.io/asv-runner/#io.stata.Stata.time_read_stata) - 18.110% (6.463ms)
 - [ ] [io.stata.Stata.time_read_stata](https://pandas-dev.github.io/asv-runner/#io.stata.Stata.time_read_stata) - 24.056% (8.217ms)
 - [ ] [io.stata.StataMissing.time_read_stata](https://pandas-dev.github.io/asv-runner/#io.stata.StataMissing.time_read_stata) - 12.331% (6.876ms)
 - [ ] [io.stata.StataMissing.time_read_stata](https://pandas-dev.github.io/asv-runner/#io.stata.StataMissing.time_read_stata) - 10.774% (5.927ms)
 - [ ] [io.stata.StataMissing.time_read_stata](https://pandas-dev.github.io/asv-runner/#io.stata.StataMissing.time_read_stata) - 11.911% (6.381ms)
 - [ ] [io.style.Render.peakmem_tooltips_render](https://pandas-dev.github.io/asv-runner/#io.style.Render.peakmem_tooltips_render) - 5.966% (14381056.000s)
 - [ ] [io.style.Render.time_apply_format_hide_render](https://pandas-dev.github.io/asv-runner/#io.style.Render.time_apply_format_hide_render) - 72.817% (1.939ms)
 - [ ] [io.style.Render.time_apply_format_hide_render](https://pandas-dev.github.io/asv-runner/#io.style.Render.time_apply_format_hide_render) - 71.041% (4.230ms)
 - [ ] [io.style.Render.time_apply_format_hide_render](https://pandas-dev.github.io/asv-runner/#io.style.Render.time_apply_format_hide_render) - 77.837% (3.080ms)
 - [ ] [io.style.Render.time_apply_format_hide_render](https://pandas-dev.github.io/asv-runner/#io.style.Render.time_apply_format_hide_render) - 78.917% (7.616ms)
 - [ ] [io.style.Render.time_apply_format_hide_render](https://pandas-dev.github.io/asv-runner/#io.style.Render.time_apply_format_hide_render) - 80.531% (4.270ms)
 - [ ] [io.style.Render.time_apply_format_hide_render](https://pandas-dev.github.io/asv-runner/#io.style.Render.time_apply_format_hide_render) - 84.964% (11.516ms)
 - [ ] [io.style.Render.time_apply_render](https://pandas-dev.github.io/asv-runner/#io.style.Render.time_apply_render) - 62.043% (2.119ms)
 - [ ] [io.style.Render.time_apply_render](https://pandas-dev.github.io/asv-runner/#io.style.Render.time_apply_render) - 60.079% (11.812ms)
 - [ ] [io.style.Render.time_apply_render](https://pandas-dev.github.io/asv-runner/#io.style.Render.time_apply_render) - 53.085% (2.890ms)
 - [ ] [io.style.Render.time_apply_render](https://pandas-dev.github.io/asv-runner/#io.style.Render.time_apply_render) - 40.628% (13.729ms)
 - [ ] [io.style.Render.time_apply_render](https://pandas-dev.github.io/asv-runner/#io.style.Render.time_apply_render) - 52.566% (3.905ms)
 - [ ] [io.style.Render.time_apply_render](https://pandas-dev.github.io/asv-runner/#io.style.Render.time_apply_render) - 33.955% (16.080ms)
 - [ ] [io.style.Render.time_classes_render](https://pandas-dev.github.io/asv-runner/#io.style.Render.time_classes_render) - 31.503% (1.096ms)
 - [ ] [io.style.Render.time_classes_render](https://pandas-dev.github.io/asv-runner/#io.style.Render.time_classes_render) - 34.518% (2.053ms)
 - [ ] [io.style.Render.time_classes_render](https://pandas-dev.github.io/asv-runner/#io.style.Render.time_classes_render) - 35.304% (2.961ms)
 - [ ] [io.style.Render.time_classes_render](https://pandas-dev.github.io/asv-runner/#io.style.Render.time_classes_render) - 12.544% (5.813ms)
 - [ ] [io.style.Render.time_tooltips_render](https://pandas-dev.github.io/asv-runner/#io.style.Render.time_tooltips_render) - 60.571% (4.056ms)
 - [ ] [io.style.Render.time_tooltips_render](https://pandas-dev.github.io/asv-runner/#io.style.Render.time_tooltips_render) - 51.101% (12.040ms)
 - [ ] [io.style.Render.time_tooltips_render](https://pandas-dev.github.io/asv-runner/#io.style.Render.time_tooltips_render) - 65.359% (6.639ms)
 - [ ] [io.style.Render.time_tooltips_render](https://pandas-dev.github.io/asv-runner/#io.style.Render.time_tooltips_render) - 49.814% (21.128ms)
 - [ ] [io.style.Render.time_tooltips_render](https://pandas-dev.github.io/asv-runner/#io.style.Render.time_tooltips_render) - 72.884% (9.795ms)
 - [ ] [io.style.Render.time_tooltips_render](https://pandas-dev.github.io/asv-runner/#io.style.Render.time_tooltips_render) - 48.399% (29.412ms)
 - [ ] [join_merge.Concat.time_concat_series](https://pandas-dev.github.io/asv-runner/#join_merge.Concat.time_concat_series) - 897.656% (22.330ms)
 - [ ] [join_merge.Join.time_join_dataframes_cross](https://pandas-dev.github.io/asv-runner/#join_merge.Join.time_join_dataframes_cross) - 55.238% (1.105ms)
 - [ ] [join_merge.Join.time_join_dataframes_cross](https://pandas-dev.github.io/asv-runner/#join_merge.Join.time_join_dataframes_cross) - 63.691% (1.153ms)
 - [ ] [join_merge.JoinEmpty.time_inner_join_left_empty](https://pandas-dev.github.io/asv-runner/#join_merge.JoinEmpty.time_inner_join_left_empty) - 74.108% (184.058us)
 - [ ] [join_merge.JoinEmpty.time_inner_join_right_empty](https://pandas-dev.github.io/asv-runner/#join_merge.JoinEmpty.time_inner_join_right_empty) - 72.655% (181.150us)
 - [ ] [join_merge.Merge.time_merge_dataframe_empty_left](https://pandas-dev.github.io/asv-runner/#join_merge.Merge.time_merge_dataframe_empty_left) - 136.863% (1.013ms)
 - [ ] [join_merge.Merge.time_merge_dataframe_empty_left](https://pandas-dev.github.io/asv-runner/#join_merge.Merge.time_merge_dataframe_empty_left) - 128.230% (956.575us)
 - [ ] [join_merge.Merge.time_merge_dataframe_empty_right](https://pandas-dev.github.io/asv-runner/#join_merge.Merge.time_merge_dataframe_empty_right) - 151.474% (1.121ms)
 - [ ] [join_merge.Merge.time_merge_dataframe_empty_right](https://pandas-dev.github.io/asv-runner/#join_merge.Merge.time_merge_dataframe_empty_right) - 150.536% (1.117ms)
 - [ ] [join_merge.Merge.time_merge_dataframe_integer_2key](https://pandas-dev.github.io/asv-runner/#join_merge.Merge.time_merge_dataframe_integer_2key) - 23.187% (357.909us)
 - [ ] [join_merge.Merge.time_merge_dataframe_integer_key](https://pandas-dev.github.io/asv-runner/#join_merge.Merge.time_merge_dataframe_integer_key) - 68.474% (525.923us)
 - [ ] [join_merge.Merge.time_merge_dataframe_integer_key](https://pandas-dev.github.io/asv-runner/#join_merge.Merge.time_merge_dataframe_integer_key) - 52.945% (549.189us)
 - [ ] [join_merge.MergeAsof.time_on_uint64](https://pandas-dev.github.io/asv-runner/#join_merge.MergeAsof.time_on_uint64) - 14.181% (699.044us)
 - [ ] [join_merge.MergeDatetime.time_merge](https://pandas-dev.github.io/asv-runner/#join_merge.MergeDatetime.time_merge) - 30.126% (1.040ms)
 - [ ] [join_merge.MergeDatetime.time_merge](https://pandas-dev.github.io/asv-runner/#join_merge.MergeDatetime.time_merge) - 33.634% (1.132ms)
 - [ ] [join_merge.MergeDatetime.time_merge](https://pandas-dev.github.io/asv-runner/#join_merge.MergeDatetime.time_merge) - 32.249% (1.071ms)
 - [ ] [join_merge.MergeDatetime.time_merge](https://pandas-dev.github.io/asv-runner/#join_merge.MergeDatetime.time_merge) - 25.979% (963.214us)
 - [ ] [join_merge.MergeDatetime.time_merge](https://pandas-dev.github.io/asv-runner/#join_merge.MergeDatetime.time_merge) - 37.639% (1.200ms)
 - [ ] [join_merge.MergeDatetime.time_merge](https://pandas-dev.github.io/asv-runner/#join_merge.MergeDatetime.time_merge) - 30.953% (1.119ms)
 - [ ] [join_merge.MergeDatetime.time_merge](https://pandas-dev.github.io/asv-runner/#join_merge.MergeDatetime.time_merge) - 45.230% (1.311ms)
 - [ ] [join_merge.MergeDatetime.time_merge](https://pandas-dev.github.io/asv-runner/#join_merge.MergeDatetime.time_merge) - 40.219% (1.302ms)
 - [ ] [join_merge.MergeDatetime.time_merge](https://pandas-dev.github.io/asv-runner/#join_merge.MergeDatetime.time_merge) - 42.167% (1.225ms)
 - [ ] [join_merge.MergeDatetime.time_merge](https://pandas-dev.github.io/asv-runner/#join_merge.MergeDatetime.time_merge) - 39.585% (1.290ms)
 - [ ] [join_merge.MergeEA.time_merge](https://pandas-dev.github.io/asv-runner/#join_merge.MergeEA.time_merge) - 46.150% (1.126ms)
 - [ ] [join_merge.MergeEA.time_merge](https://pandas-dev.github.io/asv-runner/#join_merge.MergeEA.time_merge) - 41.485% (1.006ms)
 - [ ] [join_merge.MergeEA.time_merge](https://pandas-dev.github.io/asv-runner/#join_merge.MergeEA.time_merge) - 40.432% (1.040ms)
 - [ ] [join_merge.MergeEA.time_merge](https://pandas-dev.github.io/asv-runner/#join_merge.MergeEA.time_merge) - 35.705% (908.285us)
 - [ ] [join_merge.MergeEA.time_merge](https://pandas-dev.github.io/asv-runner/#join_merge.MergeEA.time_merge) - 51.124% (1.027ms)
 - [ ] [join_merge.MergeEA.time_merge](https://pandas-dev.github.io/asv-runner/#join_merge.MergeEA.time_merge) - 36.370% (888.113us)
 - [ ] [join_merge.MergeEA.time_merge](https://pandas-dev.github.io/asv-runner/#join_merge.MergeEA.time_merge) - 47.110% (941.532us)
 - [ ] [join_merge.MergeEA.time_merge](https://pandas-dev.github.io/asv-runner/#join_merge.MergeEA.time_merge) - 37.550% (887.881us)
 - [ ] [join_merge.MergeEA.time_merge](https://pandas-dev.github.io/asv-runner/#join_merge.MergeEA.time_merge) - 41.534% (951.478us)
 - [ ] [join_merge.MergeEA.time_merge](https://pandas-dev.github.io/asv-runner/#join_merge.MergeEA.time_merge) - 37.026% (927.399us)
 - [ ] [join_merge.MergeEA.time_merge](https://pandas-dev.github.io/asv-runner/#join_merge.MergeEA.time_merge) - 47.461% (1.035ms)
 - [ ] [join_merge.MergeEA.time_merge](https://pandas-dev.github.io/asv-runner/#join_merge.MergeEA.time_merge) - 36.883% (972.837us)
 - [ ] [join_merge.MergeEA.time_merge](https://pandas-dev.github.io/asv-runner/#join_merge.MergeEA.time_merge) - 46.700% (1.018ms)
 - [ ] [join_merge.MergeEA.time_merge](https://pandas-dev.github.io/asv-runner/#join_merge.MergeEA.time_merge) - 38.216% (1.019ms)
 - [ ] [join_merge.MergeEA.time_merge](https://pandas-dev.github.io/asv-runner/#join_merge.MergeEA.time_merge) - 37.453% (929.874us)
 - [ ] [join_merge.MergeEA.time_merge](https://pandas-dev.github.io/asv-runner/#join_merge.MergeEA.time_merge) - 34.543% (926.905us)
 - [ ] [join_merge.MergeOrdered.time_merge_ordered](https://pandas-dev.github.io/asv-runner/#join_merge.MergeOrdered.time_merge_ordered) - 66.120% (9.169ms)
 - [ ] [multiindex_object.CategoricalLevel.time_categorical_level](https://pandas-dev.github.io/asv-runner/#multiindex_object.CategoricalLevel.time_categorical_level) - 24.554% (203.574us)
 - [ ] [period.Indexing.time_align](https://pandas-dev.github.io/asv-runner/#period.Indexing.time_align) - 16.409% (52.390us)
 - [ ] [reindex.DropDuplicates.time_series_drop_dups_string](https://pandas-dev.github.io/asv-runner/#reindex.DropDuplicates.time_series_drop_dups_string) - 159.387% (312.039us)
 - [ ] [reindex.DropDuplicates.time_series_drop_dups_string](https://pandas-dev.github.io/asv-runner/#reindex.DropDuplicates.time_series_drop_dups_string) - 247.502% (112.169us)
 - [ ] [reindex.Reindex.time_reindex_dates](https://pandas-dev.github.io/asv-runner/#reindex.Reindex.time_reindex_dates) - 36.147% (74.915us)
 - [ ] [reshape.Crosstab.time_crosstab](https://pandas-dev.github.io/asv-runner/#reshape.Crosstab.time_crosstab) - 112.680% (11.268ms)
 - [ ] [reshape.Crosstab.time_crosstab_normalize](https://pandas-dev.github.io/asv-runner/#reshape.Crosstab.time_crosstab_normalize) - 117.912% (12.185ms)
 - [ ] [reshape.Crosstab.time_crosstab_normalize_margins](https://pandas-dev.github.io/asv-runner/#reshape.Crosstab.time_crosstab_normalize_margins) - 30.107% (9.484ms)
 - [ ] [reshape.Crosstab.time_crosstab_values](https://pandas-dev.github.io/asv-runner/#reshape.Crosstab.time_crosstab_values) - 134.779% (12.085ms)
 - [ ] [reshape.PivotTable.time_pivot_table_categorical](https://pandas-dev.github.io/asv-runner/#reshape.PivotTable.time_pivot_table_categorical) - 33.742% (773.837us)
 - [ ] [reshape.PivotTable.time_pivot_table_categorical_observed](https://pandas-dev.github.io/asv-runner/#reshape.PivotTable.time_pivot_table_categorical_observed) - 34.397% (771.511us)
 - [ ] [reshape.ReshapeExtensionDtype.time_stack](https://pandas-dev.github.io/asv-runner/#reshape.ReshapeExtensionDtype.time_stack) - 7.553% (36.032us)
 - [ ] [reshape.ReshapeExtensionDtype.time_stack](https://pandas-dev.github.io/asv-runner/#reshape.ReshapeExtensionDtype.time_stack) - 11.022% (52.917us)
 - [ ] [rolling.Groupby.time_method](https://pandas-dev.github.io/asv-runner/#rolling.Groupby.time_method) - 19.418% (1.727ms)
 - [ ] [rolling.Groupby.time_method](https://pandas-dev.github.io/asv-runner/#rolling.Groupby.time_method) - 14.859% (3.035ms)
 - [ ] [rolling.Groupby.time_method](https://pandas-dev.github.io/asv-runner/#rolling.Groupby.time_method) - 20.148% (1.792ms)
 - [ ] [rolling.Groupby.time_method](https://pandas-dev.github.io/asv-runner/#rolling.Groupby.time_method) - 13.723% (2.793ms)
 - [ ] [rolling.GroupbyEWM.time_groupby_method](https://pandas-dev.github.io/asv-runner/#rolling.GroupbyEWM.time_groupby_method) - 23.414% (461.481us)
 - [ ] [rolling.GroupbyEWM.time_groupby_method](https://pandas-dev.github.io/asv-runner/#rolling.GroupbyEWM.time_groupby_method) - 22.869% (429.314us)
 - [ ] [series_methods.SearchSorted.time_searchsorted](https://pandas-dev.github.io/asv-runner/#series_methods.SearchSorted.time_searchsorted) - 94220.312% (2.163ms)
 - [ ] [series_methods.ToFrame.time_to_frame](https://pandas-dev.github.io/asv-runner/#series_methods.ToFrame.time_to_frame) - 167.231% (45.480us)
 - [ ] [series_methods.ToFrame.time_to_frame](https://pandas-dev.github.io/asv-runner/#series_methods.ToFrame.time_to_frame) - 168.232% (46.089us)
 - [ ] [series_methods.ToFrame.time_to_frame](https://pandas-dev.github.io/asv-runner/#series_methods.ToFrame.time_to_frame) - 163.411% (47.169us)
 - [ ] [series_methods.ToFrame.time_to_frame](https://pandas-dev.github.io/asv-runner/#series_methods.ToFrame.time_to_frame) - 166.841% (45.818us)
 - [ ] [strftime.DatetimeStrftime.time_frame_date_formatting_default](https://pandas-dev.github.io/asv-runner/#strftime.DatetimeStrftime.time_frame_date_formatting_default) - 25.947% (119.425us)
 - [ ] [strftime.DatetimeStrftime.time_frame_date_formatting_default](https://pandas-dev.github.io/asv-runner/#strftime.DatetimeStrftime.time_frame_date_formatting_default) - 15.213% (534.606us)
 - [ ] [strftime.DatetimeStrftime.time_frame_date_formatting_default_explicit](https://pandas-dev.github.io/asv-runner/#strftime.DatetimeStrftime.time_frame_date_formatting_default_explicit) - 26.963% (117.979us)
 - [ ] [strftime.DatetimeStrftime.time_frame_date_formatting_default_explicit](https://pandas-dev.github.io/asv-runner/#strftime.DatetimeStrftime.time_frame_date_formatting_default_explicit) - 16.746% (577.941us)
 - [ ] [strftime.DatetimeStrftime.time_frame_date_to_str](https://pandas-dev.github.io/asv-runner/#strftime.DatetimeStrftime.time_frame_date_to_str) - 27.487% (117.119us)
 - [ ] [strftime.DatetimeStrftime.time_frame_date_to_str](https://pandas-dev.github.io/asv-runner/#strftime.DatetimeStrftime.time_frame_date_to_str) - 15.003% (521.167us)
 - [ ] [strftime.DatetimeStrftime.time_frame_datetime_formatting_default](https://pandas-dev.github.io/asv-runner/#strftime.DatetimeStrftime.time_frame_datetime_formatting_default) - 11.743% (103.004us)
 - [ ] [strftime.DatetimeStrftime.time_frame_datetime_formatting_default_explicit](https://pandas-dev.github.io/asv-runner/#strftime.DatetimeStrftime.time_frame_datetime_formatting_default_explicit) - 13.596% (110.650us)
 - [ ] [strftime.DatetimeStrftime.time_frame_datetime_formatting_default_explicit_date_only](https://pandas-dev.github.io/asv-runner/#strftime.DatetimeStrftime.time_frame_datetime_formatting_default_explicit_date_only) - 26.189% (115.224us)
 - [ ] [strftime.DatetimeStrftime.time_frame_datetime_formatting_default_explicit_date_only](https://pandas-dev.github.io/asv-runner/#strftime.DatetimeStrftime.time_frame_datetime_formatting_default_explicit_date_only) - 14.673% (511.659us)
 - [ ] [strftime.DatetimeStrftime.time_frame_datetime_formatting_default_with_float](https://pandas-dev.github.io/asv-runner/#strftime.DatetimeStrftime.time_frame_datetime_formatting_default_with_float) - 11.976% (122.035us)
 - [ ] [strftime.DatetimeStrftime.time_frame_datetime_to_str](https://pandas-dev.github.io/asv-runner/#strftime.DatetimeStrftime.time_frame_datetime_to_str) - 13.977% (116.935us)
 - [ ] [strftime.PeriodStrftime.time_frame_period_formatting_default](https://pandas-dev.github.io/asv-runner/#strftime.PeriodStrftime.time_frame_period_formatting_default) - 22.936% (102.400us)
 - [ ] [strftime.PeriodStrftime.time_frame_period_formatting_default](https://pandas-dev.github.io/asv-runner/#strftime.PeriodStrftime.time_frame_period_formatting_default) - 15.215% (90.444us)
 - [ ] [strftime.PeriodStrftime.time_frame_period_formatting_default](https://pandas-dev.github.io/asv-runner/#strftime.PeriodStrftime.time_frame_period_formatting_default) - 12.706% (476.735us)
 - [ ] [strftime.PeriodStrftime.time_frame_period_formatting_default_explicit](https://pandas-dev.github.io/asv-runner/#strftime.PeriodStrftime.time_frame_period_formatting_default_explicit) - 23.190% (105.449us)
 - [ ] [strftime.PeriodStrftime.time_frame_period_formatting_default_explicit](https://pandas-dev.github.io/asv-runner/#strftime.PeriodStrftime.time_frame_period_formatting_default_explicit) - 18.508% (111.104us)
 - [ ] [strftime.PeriodStrftime.time_frame_period_formatting_default_explicit](https://pandas-dev.github.io/asv-runner/#strftime.PeriodStrftime.time_frame_period_formatting_default_explicit) - 12.687% (488.251us)
 - [ ] [strftime.PeriodStrftime.time_frame_period_to_str](https://pandas-dev.github.io/asv-runner/#strftime.PeriodStrftime.time_frame_period_to_str) - 20.800% (92.217us)
 - [ ] [strftime.PeriodStrftime.time_frame_period_to_str](https://pandas-dev.github.io/asv-runner/#strftime.PeriodStrftime.time_frame_period_to_str) - 18.573% (106.845us)
 - [ ] [strftime.PeriodStrftime.time_frame_period_to_str](https://pandas-dev.github.io/asv-runner/#strftime.PeriodStrftime.time_frame_period_to_str) - 12.123% (450.561us)
 - [ ] [strings.Construction.peakmem_construction](https://pandas-dev.github.io/asv-runner/#strings.Construction.peakmem_construction) - 13.142% (35684352.000s)
 - [ ] [strings.Construction.peakmem_construction](https://pandas-dev.github.io/asv-runner/#strings.Construction.peakmem_construction) - 23.437% (58331136.000s)
 - [ ] [strings.Construction.peakmem_construction](https://pandas-dev.github.io/asv-runner/#strings.Construction.peakmem_construction) - 17.071% (44404736.000s)
 - [ ] [strings.Construction.time_construction](https://pandas-dev.github.io/asv-runner/#strings.Construction.time_construction) - 106.154% (6.286ms)
 - [ ] [strings.Construction.time_construction](https://pandas-dev.github.io/asv-runner/#strings.Construction.time_construction) - 657.089% (6.603ms)
 - [ ] [strings.Construction.time_construction](https://pandas-dev.github.io/asv-runner/#strings.Construction.time_construction) - 39.214% (4.175ms)
 - [ ] [strings.Construction.time_construction](https://pandas-dev.github.io/asv-runner/#strings.Construction.time_construction) - 70.106% (7.158ms)
 - [ ] [strings.Encode.time_encode_decode](https://pandas-dev.github.io/asv-runner/#strings.Encode.time_encode_decode) - 16.583% (516.474us)
 - [ ] [strings.Extract.time_extract_single_group](https://pandas-dev.github.io/asv-runner/#strings.Extract.time_extract_single_group) - 40.031% (2.069ms)
 - [ ] [strings.Iter.time_iter](https://pandas-dev.github.io/asv-runner/#strings.Iter.time_iter) - 1320.388% (5.552ms)
 - [ ] [strings.Methods.time_extract](https://pandas-dev.github.io/asv-runner/#strings.Methods.time_extract) - 80.317% (4.187ms)
 - [ ] [strings.Methods.time_normalize](https://pandas-dev.github.io/asv-runner/#strings.Methods.time_normalize) - 16.269% (200.677us)
 - [ ] [strings.Methods.time_zfill](https://pandas-dev.github.io/asv-runner/#strings.Methods.time_zfill) - 15.984% (211.618us)
 - [ ] [strings.Split.time_rsplit](https://pandas-dev.github.io/asv-runner/#strings.Split.time_rsplit) - 42.361% (2.151ms)
 - [ ] [strings.Split.time_split](https://pandas-dev.github.io/asv-runner/#strings.Split.time_split) - 20.854% (1.392ms)
 - [ ] [timedelta.TimedeltaIndexing.time_align](https://pandas-dev.github.io/asv-runner/#timedelta.TimedeltaIndexing.time_align) - 13.208% (52.069us)
 - [ ] [timeseries.DatetimeAccessor.time_dt_accessor_day_name](https://pandas-dev.github.io/asv-runner/#timeseries.DatetimeAccessor.time_dt_accessor_day_name) - 40.270% (4.816ms)
 - [ ] [timeseries.DatetimeAccessor.time_dt_accessor_day_name](https://pandas-dev.github.io/asv-runner/#timeseries.DatetimeAccessor.time_dt_accessor_day_name) - 40.253% (4.768ms)
 - [ ] [timeseries.DatetimeAccessor.time_dt_accessor_day_name](https://pandas-dev.github.io/asv-runner/#timeseries.DatetimeAccessor.time_dt_accessor_day_name) - 39.755% (4.743ms)
 - [ ] [timeseries.DatetimeAccessor.time_dt_accessor_month_name](https://pandas-dev.github.io/asv-runner/#timeseries.DatetimeAccessor.time_dt_accessor_month_name) - 12.540% (5.316ms)
 - [ ] [timeseries.DatetimeAccessor.time_dt_accessor_month_name](https://pandas-dev.github.io/asv-runner/#timeseries.DatetimeAccessor.time_dt_accessor_month_name) - 46.358% (5.001ms)
 - [ ] [timeseries.DatetimeAccessor.time_dt_accessor_month_name](https://pandas-dev.github.io/asv-runner/#timeseries.DatetimeAccessor.time_dt_accessor_month_name) - 42.262% (4.635ms)
 - [ ] [timeseries.DatetimeAccessor.time_dt_accessor_month_name](https://pandas-dev.github.io/asv-runner/#timeseries.DatetimeAccessor.time_dt_accessor_month_name) - 43.935% (4.776ms)



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Commit 13bba346611553653131282a8a9074975b95ec08 #59

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Commit 13bba346611553653131282a8a9074975b95ec08 #59

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