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2819.vb_suite.log

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Mar 19th, 2013
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  1.  
  2.  
  3. Results:
  4. t_head t_baseline ratio
  5. name
  6. frame_boolean_row_select 0.3957 0.7834 0.5050
  7. frame_reindex_both_axes_ix 0.6488 1.1511 0.5636
  8. frame_reindex_both_axes 0.5288 0.9229 0.5729
  9. frame_reindex_axis0 1.9813 3.3119 0.5983
  10. frame_reindex_axis1 4.0005 5.4206 0.7380
  11. groupby_first_float32 6.7663 9.0429 0.7482
  12. groupby_first 6.8917 9.1584 0.7525
  13. groupby_frame_median 12.4050 15.9098 0.7797
  14. frame_fancy_lookup_all 29.6251 36.7881 0.8053
  15. panel_from_dict_same_index 34.7436 42.5168 0.8172
  16. groupby_multi_different_functions 23.9848 29.3423 0.8174
  17. panel_from_dict_equiv_indexes 35.1909 42.6118 0.8258
  18. groupby_simple_compress_timing 61.7510 74.5100 0.8288
  19. groupby_multi_cython 27.7164 33.3756 0.8304
  20. groupby_multi_different_numpy_functions 24.6460 29.0357 0.8488
  21. groupby_frame_cython_many_columns 5.8116 6.8181 0.8524
  22. groupby_last_float32 7.1884 8.2691 0.8693
  23. frame_insert_500_columns 107.1720 119.8909 0.8939
  24. frame_iteritems_cached 0.0755 0.0842 0.8975
  25. stats_rank_average 47.3725 52.2020 0.9075
  26. panel_from_dict_all_different_indexes 108.0699 118.6290 0.9110
  27. groupby_last 8.7060 9.5132 0.9152
  28. groupby_pivot_table 36.5435 39.7956 0.9183
  29. concat_series_axis1 70.9878 77.1212 0.9205
  30. groupby_indices 12.9975 14.0037 0.9281
  31. frame_fancy_lookup 2.4891 2.6592 0.9360
  32. panel_from_dict_two_different_indexes 69.9213 73.7140 0.9485
  33. timeseries_asof_single 0.0517 0.0545 0.9498
  34. groupby_multi_python 71.3256 74.5687 0.9565
  35. frame_fillna_inplace 25.2244 26.3221 0.9583
  36. groupby_series_simple_cython 7.6333 7.9613 0.9588
  37. index_int64_union 147.8040 154.0558 0.9594
  38. reindex_frame_level_reindex 1.9283 1.9984 0.9649
  39. series_string_vector_slice 329.7532 341.1939 0.9665
  40. stat_ops_level_series_sum 4.7090 4.8311 0.9747
  41. match_strings 0.5576 0.5677 0.9822
  42. melt_dataframe 2.1925 2.2272 0.9844
  43. stat_ops_level_series_sum_multiple 14.7988 15.0166 0.9855
  44. stat_ops_level_frame_sum 6.3606 6.4381 0.9880
  45. series_ctor_from_dict 4.0445 4.0878 0.9894
  46. series_align_int64_index 183.0480 184.9799 0.9896
  47. stat_ops_level_frame_sum_multiple 16.4639 16.6361 0.9896
  48. read_csv_vb 29.0916 29.3918 0.9898
  49. ctor_index_array_string 0.0144 0.0145 0.9900
  50. append_frame_single_mixed 2.1171 2.1379 0.9903
  51. read_csv_thou_vb 12.4104 12.5311 0.9904
  52. timeseries_asof_nan 14.6545 14.7892 0.9909
  53. stats_rolling_mean 2.6185 2.6405 0.9917
  54. series_align_irregular_string 99.1411 99.9310 0.9921
  55. read_csv_comment2 40.3602 40.6230 0.9935
  56. reindex_fillna_backfill 0.1563 0.1573 0.9937
  57. timeseries_asof 15.5202 15.6177 0.9938
  58. merge_2intkey_nosort 28.2476 28.3867 0.9951
  59. frame_drop_duplicates 24.7145 24.8298 0.9954
  60. index_datetime_union 19.5383 19.6292 0.9954
  61. stat_ops_series_std 1.6438 1.6506 0.9959
  62. series_drop_duplicates_int 1.0754 1.0788 0.9968
  63. frame_drop_dup_inplace 4.0085 4.0206 0.9970
  64. replace_fillna 8.0339 8.0536 0.9976
  65. index_int64_intersection 38.8426 38.9164 0.9981
  66. stats_rank_average_int 43.7640 43.8415 0.9982
  67. read_csv_standard 16.3621 16.3909 0.9982
  68. frame_fillna_many_columns_pad 22.2043 22.2433 0.9982
  69. groupby_sum_booleans 0.9334 0.9348 0.9985
  70. sparse_series_to_frame 272.2020 272.5010 0.9989
  71. series_value_counts_int64 10.3908 10.4014 0.9990
  72. frame_sort_index_by_columns 61.6289 61.6770 0.9992
  73. groupbym_frame_apply 58.1941 58.2377 0.9993
  74. read_table_multiple_date 2009.4860 2010.9899 0.9993
  75. timeseries_add_irregular 51.5558 51.5866 0.9994
  76. timeseries_timestamp_downsample_mean 9.7617 9.7650 0.9997
  77. reindex_frame_level_align 1.9706 1.9711 0.9997
  78. sort_level_one 8.0234 8.0255 0.9997
  79. sort_level_zero 8.0453 8.0452 1.0000
  80. dti_reset_index 0.1757 0.1757 1.0004
  81. index_datetime_intersection 19.6008 19.5917 1.0005
  82. groupby_multi_size 64.6663 64.6165 1.0008
  83. datetimeindex_normalize 8.4787 8.4706 1.0010
  84. series_drop_duplicates_string 0.7265 0.7257 1.0010
  85. replace_replacena 8.1063 8.0979 1.0010
  86. join_dataframe_index_single_key_bigger 25.9667 25.9252 1.0016
  87. frame_drop_dup_na_inplace 4.0406 4.0338 1.0017
  88. merge_2intkey_sort 62.1442 62.0345 1.0018
  89. timeseries_to_datetime_iso8601 8.7991 8.7812 1.0020
  90. frame_constructor_ndarray 0.0437 0.0436 1.0026
  91. dataframe_reindex 0.6523 0.6505 1.0028
  92. datetimeindex_unique 0.2280 0.2273 1.0030
  93. reindex_multiindex 1.5967 1.5913 1.0034
  94. read_parse_dates_iso8601 1.8966 1.8893 1.0039
  95. join_dataframe_integer_key 2.6233 2.6128 1.0040
  96. dti_reset_index_tz 16.5739 16.5066 1.0041
  97. frame_drop_duplicates_na 25.4122 25.3008 1.0044
  98. datetimeindex_add_offset 0.3458 0.3442 1.0044
  99. timeseries_infer_freq 39.9717 39.7947 1.0044
  100. lib_fast_zip 12.8670 12.8079 1.0046
  101. timeseries_sort_index 47.6360 47.4077 1.0048
  102. groupby_multi_series_op 24.9892 24.8654 1.0050
  103. lib_fast_zip_fillna 18.7166 18.6215 1.0051
  104. stats_rank2d_axis0_average 39.0384 38.8283 1.0054
  105. groupby_frame_singlekey_integer 4.6109 4.5846 1.0057
  106. frame_get_numeric_data 0.0634 0.0630 1.0063
  107. timeseries_period_downsample_mean 20.1162 19.9749 1.0071
  108. unstack_sparse_keyspace 1.7983 1.7856 1.0071
  109. series_align_left_monotonic 33.5710 33.3252 1.0074
  110. stats_rank2d_axis1_average 22.1201 21.9574 1.0074
  111. read_table_multiple_date_baseline 909.8430 903.1210 1.0074
  112. join_dataframe_integer_2key 9.0652 8.9975 1.0075
  113. groupby_apply_dict_return 49.0568 48.6707 1.0079
  114. reindex_fillna_backfill_float32 0.1328 0.1316 1.0091
  115. reindex_fillna_pad 0.1572 0.1556 1.0103
  116. reshape_unstack_simple 4.8727 4.8228 1.0103
  117. reindex_fillna_pad_float32 0.1372 0.1357 1.0108
  118. timeseries_slice_minutely 0.0537 0.0531 1.0113
  119. join_dataframe_index_multi 33.4204 33.0340 1.0117
  120. reindex_daterange_backfill 0.2914 0.2880 1.0119
  121. frame_to_string_floats 55.8338 55.1508 1.0124
  122. frame_ctor_nested_dict_int64 173.4440 171.2689 1.0127
  123. frame_iteritems 2.3950 2.3639 1.0132
  124. reshape_stack_simple 3.5474 3.5007 1.0133
  125. timeseries_1min_5min_ohlc 0.8518 0.8405 1.0134
  126. timeseries_timestamp_tzinfo_cons 0.0190 0.0188 1.0135
  127. timeseries_large_lookup_value 0.0247 0.0243 1.0143
  128. frame_to_csv 377.5890 372.2341 1.0144
  129. timeseries_1min_5min_mean 0.7973 0.7852 1.0155
  130. reindex_daterange_pad 0.2960 0.2897 1.0217
  131. sparse_frame_constructor 5.8662 5.7390 1.0222
  132. frame_ctor_nested_dict 103.1160 100.6150 1.0249
  133. period_setitem 972.4722 948.8680 1.0249
  134. series_constructor_ndarray 0.0109 0.0106 1.0281
  135. write_csv_standard 345.9730 336.4270 1.0284
  136. frame_ctor_list_of_dict 114.5799 111.3200 1.0293
  137. append_frame_single_homogenous 0.4865 0.4709 1.0332
  138. concat_small_frames 15.6032 15.0828 1.0345
  139. series_value_counts_strings 7.9357 7.6643 1.0354
  140. join_dataframe_index_single_key_bigger 12.2077 11.7746 1.0368
  141. indexing_panel_subset 0.6391 0.6142 1.0406
  142. indexing_dataframe_boolean_rows_object 0.7374 0.7005 1.0527
  143. groupby_frame_apply_overhead 11.8731 11.2568 1.0548
  144. reshape_pivot_time_series 287.7250 271.0760 1.0614
  145. join_dataframe_index_single_key_small 11.8785 10.8122 1.0986
  146. indexing_dataframe_boolean_rows 0.3659 0.3291 1.1119
  147. frame_reindex_columns 0.4316 0.3817 1.1307
  148.  
  149. Columns: test_name | target_duration [ms] | baseline_duration [ms] | ratio
  150.  
  151. - a Ratio of 1.30 means the target commit is 30% slower then the baseline.
  152.  
  153. Target [10129b9] : Optimize merge_blocks, take_2d, take_fast
  154. Baseline [05b7e31] : Merge branch 'df-getitem-setitem-fixes2' into dtypes
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