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- Results:
- t_head t_baseline ratio
- name
- frame_reindex_axis0 0.7839 3.2947 0.2379
- reindex_frame_level_reindex 1.5062 3.7762 0.3989
- frame_reindex_axis1 3.9910 5.3669 0.7436
- reindex_frame_level_align 1.5499 2.0175 0.7682
- timeseries_period_downsample_mean 20.5312 22.7030 0.9043
- datetimeindex_add_offset 0.3551 0.3830 0.9271
- frame_fancy_lookup 2.3520 2.5364 0.9273
- groupby_first 7.3398 7.8920 0.9300
- indexing_dataframe_boolean_rows 0.3376 0.3621 0.9323
- read_csv_vb 28.7648 30.6743 0.9377
- reshape_pivot_time_series 303.1321 321.6960 0.9423
- groupby_frame_apply_overhead 11.1771 11.8323 0.9446
- stats_rank_average_int 43.6179 45.8444 0.9514
- timeseries_add_irregular 51.6635 54.1274 0.9545
- join_dataframe_index_single_key_small 15.0236 15.7387 0.9546
- frame_boolean_row_select 0.3720 0.3884 0.9578
- dataframe_reindex 0.6269 0.6536 0.9592
- groupby_series_simple_cython 7.5924 7.9096 0.9599
- stats_rank_average 48.7441 50.7567 0.9603
- timeseries_timestamp_tzinfo_cons 0.0195 0.0202 0.9636
- timeseries_infer_freq 40.7316 42.2358 0.9644
- frame_reindex_upcast 23.4064 24.2167 0.9665
- indexing_dataframe_boolean_rows_object 0.7095 0.7337 0.9671
- series_drop_duplicates_string 0.7380 0.7621 0.9684
- index_int64_union 156.6691 161.7210 0.9688
- groupby_multi_different_numpy_functions 22.0720 22.7706 0.9693
- panel_from_dict_same_index 41.7147 42.9953 0.9702
- stats_rank2d_axis0_average 38.9381 39.9914 0.9737
- groupby_multi_size 64.3204 66.0425 0.9739
- frame_reindex_both_axes_ix 0.5906 0.6047 0.9768
- reshape_stack_simple 3.7320 3.8207 0.9768
- frame_get_numeric_data 0.0654 0.0668 0.9791
- ctor_index_array_string 0.0144 0.0146 0.9801
- timeseries_large_lookup_value 0.0274 0.0280 0.9816
- stat_ops_level_series_sum 4.7010 4.7829 0.9829
- reindex_fillna_backfill_float32 0.1369 0.1391 0.9847
- timeseries_sort_index 47.8589 48.5870 0.9850
- reindex_daterange_backfill 0.3009 0.3053 0.9855
- index_int64_intersection 43.3758 43.9321 0.9873
- stat_ops_level_series_sum_multiple 14.6688 14.8526 0.9876
- groupby_multi_different_functions 22.3377 22.5891 0.9889
- series_string_vector_slice 352.4659 356.3311 0.9892
- read_table_multiple_date_baseline 897.3510 906.8999 0.9895
- groupby_frame_median 12.2664 12.3961 0.9895
- replace_replacena 8.1477 8.2284 0.9902
- timeseries_asof 15.5181 15.6618 0.9908
- groupby_apply_dict_return 54.9828 55.4816 0.9910
- groupby_last 7.1383 7.2002 0.9914
- timeseries_asof_nan 14.6750 14.8011 0.9915
- groupby_frame_singlekey_integer 4.5716 4.6089 0.9919
- series_align_left_monotonic 33.0169 33.2439 0.9932
- stats_rolling_mean 2.6065 2.6244 0.9932
- frame_fillna_inplace 24.7228 24.8922 0.9932
- lib_fast_zip_fillna 18.7112 18.8335 0.9935
- frame_insert_500_columns 105.2120 105.8400 0.9941
- frame_fancy_lookup_all 28.2481 28.4137 0.9942
- concat_small_frames 15.2590 15.3439 0.9945
- frame_constructor_ndarray 0.0430 0.0432 0.9948
- frame_ctor_list_of_dict 110.5170 111.0711 0.9950
- groupby_pivot_table 36.7533 36.8680 0.9969
- series_value_counts_strings 7.8248 7.8473 0.9971
- join_dataframe_index_single_key_bigger 14.6752 14.7146 0.9973
- panel_from_dict_two_different_indexes 80.7298 80.9386 0.9974
- series_ctor_from_dict 4.0516 4.0584 0.9983
- reshape_unstack_simple 4.8483 4.8561 0.9984
- sparse_frame_constructor 5.8300 5.8367 0.9988
- panel_from_dict_equiv_indexes 42.7255 42.7475 0.9995
- index_datetime_union 19.5969 19.6049 0.9996
- indexing_panel_subset 0.6535 0.6536 0.9999
- reindex_fillna_pad_float32 0.1436 0.1436 1.0001
- replace_fillna 8.0669 8.0655 1.0002
- dti_reset_index 0.1747 0.1746 1.0004
- read_parse_dates_iso8601 1.8839 1.8826 1.0007
- append_frame_single_homogenous 0.4794 0.4790 1.0007
- series_drop_duplicates_int 1.0993 1.0982 1.0010
- melt_dataframe 2.3409 2.3385 1.0010
- series_value_counts_int64 10.3314 10.3155 1.0015
- read_csv_comment2 45.2429 45.1688 1.0016
- reindex_fillna_pad 0.1656 0.1653 1.0018
- sort_level_one 8.0040 7.9890 1.0019
- groupby_multi_cython 31.5169 31.4571 1.0019
- write_csv_standard 343.5731 342.8729 1.0020
- series_align_int64_index 184.3331 183.8901 1.0024
- frame_sort_index_by_columns 61.5086 61.3490 1.0026
- series_align_irregular_string 98.8500 98.5851 1.0027
- frame_drop_duplicates_na 25.3409 25.2685 1.0029
- reindex_fillna_backfill 0.1654 0.1649 1.0029
- join_dataframe_index_multi 42.2619 42.1312 1.0031
- stat_ops_series_std 1.6236 1.6179 1.0035
- frame_drop_duplicates 24.9569 24.8680 1.0036
- frame_drop_dup_na_inplace 4.0811 4.0628 1.0045
- frame_drop_dup_inplace 4.0226 4.0041 1.0046
- timeseries_to_datetime_iso8601 8.8217 8.7736 1.0055
- dti_reset_index_tz 16.9914 16.8937 1.0058
- stats_rank2d_axis1_average 21.9809 21.8529 1.0059
- period_setitem 967.7949 960.8619 1.0072
- timeseries_1min_5min_ohlc 0.8579 0.8518 1.0072
- stat_ops_level_frame_sum 6.3262 6.2685 1.0092
- datetimeindex_unique 0.2293 0.2271 1.0096
- frame_to_string_floats 56.2335 55.6729 1.0101
- index_datetime_intersection 19.8002 19.5992 1.0103
- frame_iteritems 2.2985 2.2751 1.0103
- groupby_simple_compress_timing 78.0848 77.2779 1.0104
- groupby_sum_booleans 0.9362 0.9261 1.0108
- groupby_last_float32 7.2167 7.1357 1.0114
- lib_fast_zip 12.7963 12.6451 1.0120
- frame_ctor_nested_dict_int64 188.6439 186.3210 1.0125
- stat_ops_level_frame_sum_multiple 16.7612 16.5429 1.0132
- series_constructor_ndarray 0.0156 0.0154 1.0133
- frame_fillna_many_columns_pad 22.6218 22.2764 1.0155
- groupbym_frame_apply 58.6086 57.7034 1.0157
- reindex_multiindex 1.5897 1.5639 1.0165
- reindex_daterange_pad 0.3054 0.3001 1.0177
- concat_series_axis1 75.0195 73.7058 1.0178
- read_table_multiple_date 2023.7110 1986.7761 1.0186
- sort_level_zero 8.1401 7.9915 1.0186
- timeseries_asof_single 0.0524 0.0515 1.0186
- append_frame_single_mixed 2.1607 2.1211 1.0187
- unstack_sparse_keyspace 1.8350 1.8010 1.0189
- groupby_first_float32 6.9436 6.8075 1.0200
- frame_iteritems_cached 0.0750 0.0735 1.0205
- groupby_multi_python 72.5479 71.0525 1.0210
- datetimeindex_normalize 8.6399 8.4586 1.0214
- read_csv_standard 16.8381 16.4745 1.0221
- panel_from_dict_all_different_indexes 110.9960 108.5942 1.0221
- sparse_series_to_frame 285.6190 279.1312 1.0232
- groupby_indices 13.3519 13.0456 1.0235
- timeseries_slice_minutely 0.0608 0.0593 1.0244
- read_csv_thou_vb 13.0056 12.6541 1.0278
- groupby_multi_series_op 25.7079 24.9979 1.0284
- frame_ctor_nested_dict 106.0300 103.0941 1.0285
- join_dataframe_index_single_key_bigger 29.0177 28.1536 1.0307
- match_strings 0.5580 0.5401 1.0332
- timeseries_1min_5min_mean 0.8316 0.8045 1.0337
- groupby_frame_cython_many_columns 6.4166 6.1990 1.0351
- frame_to_csv 387.7332 371.7170 1.0431
- frame_reindex_columns 0.4230 0.4037 1.0478
- join_dataframe_integer_key 2.7363 2.6015 1.0518
- frame_reindex_both_axes 0.5311 0.5018 1.0583
- timeseries_timestamp_downsample_mean 10.4768 9.7047 1.0796
- merge_2intkey_sort 68.3526 61.7650 1.1067
- join_dataframe_integer_2key 10.0101 9.0165 1.1102
- merge_2intkey_nosort 32.5368 28.4194 1.1449
- Columns: test_name | target_duration [ms] | baseline_duration [ms] | ratio
- - a Ratio of 1.30 means the target commit is 30% slower then the baseline.
- Target [e0c82aa] : ENH: change usage of ndtake to take_nd with allow_fill=False
- Baseline [b0ee363] : Merge pull request #2840 from jreback/pytables_doc
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