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February 17, 2015 01:00
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vbench results for pandas #9440
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| Invoked with : | |
| --ncalls: 5 | |
| --repeats: 5 | |
| ------------------------------------------------------------------------------- | |
| Test name | head[ms] | base[ms] | ratio | | |
| ------------------------------------------------------------------------------- | |
| timeseries_with_format_no_exact | 447.1206 | 467.2980 | 0.9568 | | |
| groupby_nth_datetimes_none | 305.0230 | 316.3658 | 0.9641 | | |
| timeseries_custom_bmonthbegin_decr_n | 0.1724 | 0.1784 | 0.9663 | | |
| index_datetime_intersection | 7.9200 | 8.1136 | 0.9761 | | |
| groupby_nth_datetimes_any | 651.6568 | 667.1216 | 0.9768 | | |
| index_datetime_union | 7.9360 | 8.0944 | 0.9804 | | |
| groupby_last_datetimes | 7.4960 | 7.6292 | 0.9825 | | |
| timeseries_custom_bmonthend_decr_n | 0.1948 | 0.1982 | 0.9832 | | |
| timeseries_to_datetime_YYYYMMDD | 4.5614 | 4.6230 | 0.9867 | | |
| timeseries_custom_bday_cal_incr_n | 0.0146 | 0.0148 | 0.9871 | | |
| datetime_index_intersection | 0.2476 | 0.2502 | 0.9895 | | |
| timeseries_custom_bmonthbegin_incr_n | 0.1628 | 0.1644 | 0.9907 | | |
| timeseries_is_month_start | 1.8736 | 1.8896 | 0.9915 | | |
| timeseries_infer_freq | 4.9470 | 4.9856 | 0.9923 | | |
| timeseries_custom_bmonthend_incr | 0.1286 | 0.1296 | 0.9923 | | |
| multiindex_with_datetime_level_sliced | 0.1274 | 0.1282 | 0.9937 | | |
| sql_datetime_read_and_parse_sqlalchemy | 10.2866 | 10.3492 | 0.9940 | | |
| read_csv_infer_datetime_format_custom | 6.6138 | 6.6532 | 0.9941 | | |
| datetimeindex_add_offset | 0.1930 | 0.1942 | 0.9941 | | |
| read_csv_infer_datetime_format_ymd | 1.3856 | 1.3936 | 0.9943 | | |
| timeseries_iter_datetimeindex | 441.4170 | 443.3618 | 0.9956 | | |
| frame_assign_timeseries_index | 0.5292 | 0.5312 | 0.9962 | | |
| timeseries_sort_index | 6.8364 | 6.8606 | 0.9965 | | |
| timeseries_iter_datetimeindex_preexit | 8.2518 | 8.2796 | 0.9966 | | |
| timeseries_1min_5min_ohlc | 0.6332 | 0.6352 | 0.9968 | | |
| groupby_dt_timegrouper_size | 21.5524 | 21.6180 | 0.9970 | | |
| query_datetime_series | 18.0092 | 18.0622 | 0.9971 | | |
| reshape_pivot_time_series | 128.4540 | 128.7026 | 0.9981 | | |
| timestamp_ops_diff2 | 22.6066 | 22.6502 | 0.9981 | | |
| multiindex_with_datetime_level_full | 15.3746 | 15.4036 | 0.9981 | | |
| dtype_infer_timedelta64_1 | 84.9084 | 85.0472 | 0.9984 | | |
| query_datetime_index | 15.5890 | 15.6140 | 0.9984 | | |
| timeseries_asof | 2.1270 | 2.1294 | 0.9989 | | |
| dtype_infer_timedelta64_2 | 10.8400 | 10.8480 | 0.9993 | | |
| timestamp_series_compare | 8.7416 | 8.7466 | 0.9994 | | |
| timeseries_custom_bday_apply_dt64 | 0.0114 | 0.0114 | 1.0000 | | |
| timeseries_large_lookup_value | 0.0120 | 0.0120 | 1.0000 | | |
| datetimeindex_infer_dst | 1.4756 | 1.4754 | 1.0001 | | |
| timeseries_asof_nan | 2.0510 | 2.0504 | 1.0003 | | |
| sql_datetime_read_as_native_sqlalchemy | 13.9170 | 13.9082 | 1.0006 | | |
| timeseries_1min_5min_mean | 0.5608 | 0.5598 | 1.0017 | | |
| timeseries_add_irregular | 9.9076 | 9.8906 | 1.0017 | | |
| timedelta_convert_int | 0.1112 | 0.1110 | 1.0021 | | |
| series_timestamp_compare | 8.7366 | 8.7162 | 1.0023 | | |
| datetimeindex_unique | 0.0616 | 0.0614 | 1.0031 | | |
| dtype_infer_datetime64 | 9.5094 | 9.4780 | 1.0033 | | |
| timeseries_with_format_replace | 625.2590 | 622.6752 | 1.0041 | | |
| timeseries_to_datetime_iso8601 | 2.8074 | 2.7950 | 1.0044 | | |
| read_csv_infer_datetime_format_iso8601 | 1.2922 | 1.2860 | 1.0049 | | |
| timeseries_custom_bmonthend_incr_n | 0.1666 | 0.1658 | 1.0049 | | |
| sql_datetime_write_sqlalchemy | 87.0608 | 86.3202 | 1.0086 | | |
| timeseries_slice_minutely | 0.0310 | 0.0306 | 1.0125 | | |
| timeseries_custom_bday_cal_incr | 0.0148 | 0.0146 | 1.0131 | | |
| timeseries_period_downsample_mean | 8.6448 | 8.5278 | 1.0137 | | |
| timeseries_year_incr | 0.0140 | 0.0138 | 1.0138 | | |
| timestamp_ops_diff1 | 17.9742 | 17.7096 | 1.0149 | | |
| timeseries_year_apply | 0.0108 | 0.0106 | 1.0180 | | |
| groupby_first_datetimes | 7.4154 | 7.2726 | 1.0196 | | |
| timedelta_convert_string | 70.0998 | 68.5332 | 1.0229 | | |
| timeseries_custom_bday_apply | 0.0100 | 0.0098 | 1.0244 | | |
| timeseries_custom_bday_cal_incr_neg_n | 0.0176 | 0.0172 | 1.0250 | | |
| timeseries_custom_bday_decr | 0.0170 | 0.0166 | 1.0259 | | |
| timeseries_custom_bday_cal_decr | 0.0178 | 0.0172 | 1.0332 | | |
| timedelta_convert_string_seconds | 79.1432 | 76.5668 | 1.0336 | | |
| timeseries_timestamp_downsample_mean | 2.8474 | 2.7546 | 1.0337 | | |
| timeseries_custom_bday_incr | 0.0106 | 0.0102 | 1.0374 | | |
| period_setitem | 9.9028 | 9.5396 | 1.0381 | | |
| datetimeindex_normalize | 1.5318 | 1.4732 | 1.0398 | | |
| timeseries_day_apply | 0.0206 | 0.0198 | 1.0410 | | |
| timeseries_iter_periodindex_preexit | 7.5470 | 7.2424 | 1.0421 | | |
| timeseries_asof_single | 0.0152 | 0.0146 | 1.0425 | | |
| timeseries_iter_periodindex | 739.7438 | 705.7628 | 1.0481 | | |
| timeseries_day_incr | 0.0216 | 0.0204 | 1.0584 | | |
| datetime_index_union | 0.0686 | 0.0646 | 1.0620 | | |
| ------------------------------------------------------------------------------- | |
| Test name | head[ms] | base[ms] | ratio | | |
| ------------------------------------------------------------------------------- | |
| Ratio < 1.0 means the target commit is faster then the baseline. | |
| Seed used: 1234 | |
| Target [e017b33] : various Period related name changes, release note | |
| Base [fa2b684] : Merge pull request #9499 from jreback/pickle | |
| TST: fix read_pickle for win32 compat | |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
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| Invoked with : | |
| --ncalls: 5 | |
| --repeats: 5 | |
| ------------------------------------------------------------------------------- | |
| Test name | head[ms] | base[ms] | ratio | | |
| ------------------------------------------------------------------------------- | |
| timeseries_year_apply | 0.0108 | 0.0118 | 0.9150 | | |
| groupby_last_datetimes | 7.5906 | 8.0742 | 0.9401 | | |
| timeseries_with_format_replace | 621.0462 | 660.3204 | 0.9405 | | |
| timeseries_with_format_no_exact | 452.2740 | 476.3698 | 0.9494 | | |
| timeseries_year_incr | 0.0116 | 0.0122 | 0.9531 | | |
| read_csv_infer_datetime_format_custom | 6.6006 | 6.8896 | 0.9581 | | |
| timeseries_day_incr | 0.0214 | 0.0222 | 0.9614 | | |
| timeseries_custom_bmonthend_incr | 0.1308 | 0.1360 | 0.9618 | | |
| timeseries_iter_periodindex_preexit | 6.9852 | 7.2556 | 0.9627 | | |
| period_setitem | 9.2040 | 9.5580 | 0.9630 | | |
| timeseries_iter_periodindex | 684.9412 | 706.5232 | 0.9695 | | |
| timeseries_custom_bmonthend_incr_n | 0.1678 | 0.1728 | 0.9710 | | |
| timeseries_custom_bmonthend_decr_n | 0.1986 | 0.2042 | 0.9724 | | |
| timeseries_custom_bmonthbegin_incr_n | 0.1664 | 0.1704 | 0.9765 | | |
| multiindex_with_datetime_level_sliced | 0.1274 | 0.1302 | 0.9780 | | |
| timeseries_custom_bday_decr | 0.0174 | 0.0178 | 0.9786 | | |
| timeseries_day_apply | 0.0208 | 0.0212 | 0.9820 | | |
| read_csv_infer_datetime_format_iso8601 | 1.2838 | 1.3046 | 0.9841 | | |
| timeseries_1min_5min_mean | 0.5674 | 0.5758 | 0.9854 | | |
| read_csv_infer_datetime_format_ymd | 1.3828 | 1.3992 | 0.9883 | | |
| timeseries_to_datetime_YYYYMMDD | 4.5676 | 4.6206 | 0.9885 | | |
| sql_datetime_read_as_native_sqlalchemy | 13.8446 | 13.9924 | 0.9894 | | |
| timeseries_1min_5min_ohlc | 0.6420 | 0.6486 | 0.9899 | | |
| groupby_nth_datetimes_none | 303.0408 | 305.4608 | 0.9921 | | |
| timeseries_period_downsample_mean | 8.4632 | 8.5304 | 0.9921 | | |
| timedelta_convert_int | 0.1110 | 0.1118 | 0.9928 | | |
| index_datetime_intersection | 7.9616 | 8.0150 | 0.9933 | | |
| timeseries_infer_freq | 4.9486 | 4.9814 | 0.9934 | | |
| timeseries_is_month_start | 1.8752 | 1.8874 | 0.9936 | | |
| timeseries_timestamp_downsample_mean | 2.7390 | 2.7554 | 0.9940 | | |
| sql_datetime_read_and_parse_sqlalchemy | 10.2578 | 10.3116 | 0.9948 | | |
| datetimeindex_infer_dst | 1.4758 | 1.4832 | 0.9950 | | |
| query_datetime_series | 18.0586 | 18.1476 | 0.9951 | | |
| groupby_nth_datetimes_any | 645.1814 | 648.3120 | 0.9952 | | |
| timeseries_asof_nan | 2.0592 | 2.0672 | 0.9961 | | |
| timeseries_add_irregular | 9.9052 | 9.9420 | 0.9963 | | |
| timestamp_ops_diff2 | 22.5676 | 22.6442 | 0.9966 | | |
| timeseries_iter_datetimeindex | 441.3750 | 442.7766 | 0.9968 | | |
| datetime_index_union | 0.0692 | 0.0694 | 0.9973 | | |
| sql_datetime_write_sqlalchemy | 86.3924 | 86.6146 | 0.9974 | | |
| frame_assign_timeseries_index | 0.5286 | 0.5298 | 0.9977 | | |
| timeseries_iter_datetimeindex_preexit | 8.2578 | 8.2710 | 0.9984 | | |
| datetime_index_intersection | 0.2498 | 0.2502 | 0.9985 | | |
| index_datetime_union | 8.0002 | 8.0118 | 0.9986 | | |
| datetimeindex_add_offset | 0.1948 | 0.1950 | 0.9988 | | |
| timeseries_custom_bmonthbegin_decr_n | 0.1782 | 0.1784 | 0.9989 | | |
| dtype_infer_timedelta64_2 | 10.8676 | 10.8780 | 0.9990 | | |
| datetimeindex_unique | 0.0616 | 0.0616 | 0.9992 | | |
| timestamp_series_compare | 8.7314 | 8.7332 | 0.9998 | | |
| dtype_infer_datetime64 | 9.4860 | 9.4864 | 1.0000 | | |
| timeseries_custom_bday_cal_incr | 0.0150 | 0.0150 | 1.0000 | | |
| timeseries_custom_bday_incr | 0.0108 | 0.0108 | 1.0000 | | |
| timeseries_custom_bday_apply_dt64 | 0.0118 | 0.0118 | 1.0000 | | |
| series_timestamp_compare | 8.7384 | 8.7344 | 1.0005 | | |
| multiindex_with_datetime_level_full | 15.4250 | 15.4048 | 1.0013 | | |
| query_datetime_index | 15.6500 | 15.6276 | 1.0014 | | |
| dtype_infer_timedelta64_1 | 84.9198 | 84.7306 | 1.0022 | | |
| timeseries_asof | 2.1258 | 2.1186 | 1.0034 | | |
| groupby_dt_timegrouper_size | 21.6374 | 21.5472 | 1.0042 | | |
| reshape_pivot_time_series | 128.8468 | 128.2722 | 1.0045 | | |
| timeseries_custom_bday_apply | 0.0100 | 0.0100 | 1.0048 | | |
| timedelta_convert_string_seconds | 78.5880 | 78.0956 | 1.0063 | | |
| timeseries_to_datetime_iso8601 | 2.8106 | 2.7904 | 1.0073 | | |
| datetimeindex_normalize | 1.4882 | 1.4762 | 1.0081 | | |
| timeseries_sort_index | 6.9536 | 6.8970 | 1.0082 | | |
| timeseries_custom_bday_cal_incr_neg_n | 0.0180 | 0.0178 | 1.0107 | | |
| timeseries_slice_minutely | 0.0312 | 0.0308 | 1.0124 | | |
| timedelta_convert_string | 70.8198 | 69.9404 | 1.0126 | | |
| timeseries_custom_bday_cal_incr_n | 0.0152 | 0.0150 | 1.0127 | | |
| timeseries_custom_bday_cal_decr | 0.0180 | 0.0178 | 1.0134 | | |
| timestamp_ops_diff1 | 18.0436 | 17.7404 | 1.0171 | | |
| groupby_first_datetimes | 7.6198 | 7.3934 | 1.0306 | | |
| timeseries_asof_single | 0.0154 | 0.0148 | 1.0386 | | |
| timeseries_large_lookup_value | 0.0126 | 0.0120 | 1.0476 | | |
| ------------------------------------------------------------------------------- | |
| Test name | head[ms] | base[ms] | ratio | | |
| ------------------------------------------------------------------------------- | |
| Ratio < 1.0 means the target commit is faster then the baseline. | |
| Seed used: 1234 | |
| Target [e017b33] : various Period related name changes, release note | |
| Base [fa2b684] : Merge pull request #9499 from jreback/pickle | |
| TST: fix read_pickle for win32 compat | |
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