Remove codepath asymmetry in dataframe count()
@jreback I noticed a codepath asymmetry in core.frame.count that leads to a substantial difference in dropna() performance depending on the axis. Using the path `df.dropna(axis=0)` takes yields a 2.5-5x improvement.

```
$ python vb_suite/test_perf.py -b upstream/master -t HEAD -r "dropna" -S -n 30
Invoked with :
--ncalls: 3
--repeats: 30


-------------------------------------------------------------------------------
Test name                                    | head[ms] | base[ms] |  ratio   |
-------------------------------------------------------------------------------
frame_dropna_axis1_any                       |  18.5493 | 101.6117 |   0.1826 |
frame_dropna_axis1_all                       |  48.0193 | 128.8197 |   0.3728 |
frame_dropna_axis0_any                       |  17.0240 |  17.3127 |   0.9833 |
frame_dropna_axis0_all                       |  43.1127 |  43.3304 |   0.9950 |
-------------------------------------------------------------------------------
Test name                                    | head[ms] | base[ms] |  ratio   |
-------------------------------------------------------------------------------

Ratio < 1.0 means the target commit is faster then the baseline.
Seed used: 1234

Target [84ad341] : Remove codepath asymmetry in dataframe count()
Base   [099a02c] : Merge pull request #9061 from behzadnouri/nan-pivot

pivot & unstack with nan in the index


                        count       mean        std       min        25%        50%        75%         max
frame_dropna_axis1_any      3  40.114509  54.044075  0.182551   9.365917  18.549283  60.080489  101.611694
frame_dropna_axis1_all      3  59.070599  64.932673  0.372764  24.196047  48.019330  88.419517  128.819704
frame_dropna_axis0_any      3  11.773351   9.345549  0.983328   9.003684  17.024040  17.168363   17.312686
frame_dropna_axis0_all      3  29.146001  24.379745  0.994976  22.053826  43.112675  43.221513   43.330352
```

on a mixed type frame this will cause a big drop in perf as the .values will convert everything to object (and actually may not work correctly) - so I believe some tests should fail and need a more comprehensive perf metric 

the notnull(frame) will do a block by block comparison
 @jreback Test suite passes for me and here's a full vbench run:

```
Invoked with :
--ncalls: 3
--repeats: 3


-------------------------------------------------------------------------------
Test name                                    | head[ms] | base[ms] |  ratio   |
-------------------------------------------------------------------------------
frame_dropna_axis1_any                       |  18.6021 | 107.5943 |   0.1729 |
frame_dropna_axis1_all                       |  50.8420 | 135.4791 |   0.3753 |
stats_rolling_mean                           |   0.5297 |   0.7520 |   0.7044 |
timeseries_1min_5min_ohlc                    |   0.6154 |   0.8706 |   0.7068 |
groupby_ngroups_100_std                      |   0.3447 |   0.4273 |   0.8066 |
frame_mask_bools                             |   4.5987 |   5.3089 |   0.8662 |
groupby_first_float32                        |   2.2663 |   2.5516 |   0.8882 |
join_dataframe_index_single_key_bigger       |   8.7790 |   9.8763 |   0.8889 |
dtype_infer_float64                          |   0.5950 |   0.6610 |   0.9002 |
datetime_index_intersection                  |   0.2736 |   0.3020 |   0.9061 |
groupby_ngroups_100_cumcount                 |   0.5593 |   0.6150 |   0.9094 |
stats_rank_pct_average                       |  23.4833 |  25.7940 |   0.9104 |
timeseries_year_incr                         |   0.0140 |   0.0153 |   0.9119 |
groupby_last_float32                         |   2.5160 |   2.7587 |   0.9120 |
frame_ctor_nested_dict_int64                 |  60.6680 |  66.2240 |   0.9161 |
groupby_last_object                          |  12.6603 |  13.6907 |   0.9247 |
join_non_unique_equal                        |   0.6026 |   0.6470 |   0.9315 |
read_parse_dates_iso8601                     |   1.0910 |   1.1697 |   0.9327 |
frame_fancy_lookup_all                       |  12.2587 |  13.1373 |   0.9331 |
dtype_infer_float32                          |   0.5314 |   0.5690 |   0.9338 |
frame_ctor_list_of_dict                      |  53.3586 |  56.9321 |   0.9372 |
reindex_fillna_backfill                      |   0.4384 |   0.4677 |   0.9373 |
frame_ctor_dtindex_BQuarterEndx1             |   1.1443 |   1.2163 |   0.9408 |
dataframe_resample_min_numpy                 |   1.2994 |   1.3796 |   0.9418 |
frame_apply_ref_by_name                      |  11.4590 |  12.1663 |   0.9419 |
groupby_last_datetimes                       |   9.0296 |   9.5770 |   0.9428 |
strings_match                                |   4.5849 |   4.8576 |   0.9439 |
groupby_ngroups_10000_sum                    |   1.8410 |   1.9477 |   0.9452 |
read_store_table_wide                        |  14.8213 |  15.6531 |   0.9469 |
reindex_fillna_pad                           |   0.2156 |   0.2276 |   0.9473 |
frame_dtypes                                 |   0.0787 |   0.0830 |   0.9483 |
frame_xs_row                                 |   0.0307 |   0.0323 |   0.9484 |
frame_reindex_both_axes                      |  26.8114 |  28.2600 |   0.9487 |
frame_iteritems_cached                       |   0.4303 |   0.4531 |   0.9498 |
stat_ops_frame_mean_int_axis_0               |   3.2063 |   3.3704 |   0.9513 |
replace_replacena                            |   0.4367 |   0.4573 |   0.9550 |
append_frame_single_mixed                    |   1.3397 |   1.4027 |   0.9551 |
timeseries_year_apply                        |   0.0137 |   0.0143 |   0.9556 |
groupby_transform_multi_key1                 |  49.4933 |  51.7907 |   0.9556 |
frame_mult                                   |   3.0183 |   3.1580 |   0.9558 |
sql_read_query_sqlalchemy                    |  38.2897 |  39.9540 |   0.9583 |
timeseries_timestamp_downsample_mean         |   3.2314 |   3.3687 |   0.9592 |
frame_iteritems                              |  22.4950 |  23.4103 |   0.9609 |
reindex_multiindex                           |   1.0570 |   1.0997 |   0.9612 |
frame_multi_and                              |  18.1444 |  18.8723 |   0.9614 |
frame_getitem_single_column                  |  16.0767 |  16.7073 |   0.9623 |
frame_interpolate_some_good                  |   1.0077 |   1.0459 |   0.9635 |
strings_findall                              |   6.9053 |   7.1664 |   0.9636 |
frame_isnull                                 |   0.3897 |   0.4043 |   0.9638 |
read_csv_infer_datetime_format_ymd           |   1.7837 |   1.8493 |   0.9645 |
groupby_ngroups_10000_prod                   |   1.8241 |   1.8903 |   0.9649 |
groupby_ngroups_10000_std                    |   1.8506 |   1.9177 |   0.9650 |
groupby_transform_multi_key3                 | 545.7989 | 565.5087 |   0.9651 |
datetimeindex_unique                         |   0.0757 |   0.0784 |   0.9655 |
frame_reindex_axis1                          | 137.0380 | 141.8733 |   0.9659 |
groupby_transform_multi_key2                 |  34.9090 |  36.1343 |   0.9661 |
frame_apply_pass_thru                        |   3.4084 |   3.5246 |   0.9670 |
eval_frame_mult_python_one_thread            |  12.7517 |  13.1846 |   0.9672 |
replace_fillna                               |   0.9201 |   0.9513 |   0.9672 |
frame_apply_lambda_mean                      |   4.1850 |   4.3253 |   0.9676 |
frame_ctor_dtindex_MonthEndx2                |   1.0470 |   1.0820 |   0.9676 |
groupby_last_float64                         |   2.6507 |   2.7383 |   0.9680 |
read_csv_skiprows                            |  10.9327 |  11.2924 |   0.9681 |
frame_ctor_nested_dict                       |  55.3357 |  57.1256 |   0.9687 |
frame_ctor_dtindex_CDayx1                    |   0.9580 |   0.9886 |   0.9691 |
timeseries_custom_bday_cal_decr              |   0.0203 |   0.0210 |   0.9697 |
frame_get_dtype_counts                       |   0.0776 |   0.0800 |   0.9702 |
groupby_multi_python                         |  64.9753 |  66.9520 |   0.9705 |
groupby_ngroups_100_var                      |   0.3077 |   0.3170 |   0.9707 |
frame_ctor_dtindex_CBMonthBeginx1            |   2.4143 |   2.4866 |   0.9709 |
multiindex_with_datetime_level_sliced        |   0.1463 |   0.1507 |   0.9710 |
groupby_nth_float32_none                     |  68.0116 |  70.0103 |   0.9715 |
stat_ops_frame_mean_int_axis_1               |   3.3977 |   3.4957 |   0.9720 |
timeseries_custom_bmonthbegin_decr_n         |   0.1976 |   0.2033 |   0.9722 |
groupby_ngroups_100_first                    |   0.3660 |   0.3763 |   0.9725 |
groupby_multi_different_functions            |   8.7744 |   9.0214 |   0.9726 |
series_constructor_ndarray                   |   0.0143 |   0.0147 |   0.9730 |
frame_to_html_mixed                          | 155.8827 | 160.1920 |   0.9731 |
frame_shift_axis0                            |   9.5163 |   9.7777 |   0.9733 |
groupby_ngroups_100_tail                     |   0.6057 |   0.6223 |   0.9733 |
groupby_frame_apply                          |  27.2137 |  27.9597 |   0.9733 |
frame_html_repr_trunc_mi                     |  27.5931 |  28.3493 |   0.9733 |
sql_string_write_sqlalchemy                  |  78.5370 |  80.6839 |   0.9734 |
frame_boolean_row_select                     |   0.1924 |   0.1976 |   0.9735 |
timeseries_custom_bday_apply                 |   0.0117 |   0.0120 |   0.9735 |
groupby_frame_apply_overhead                 |   6.3247 |   6.4950 |   0.9738 |
frame_shift_axis_1                           |  13.6857 |  14.0533 |   0.9738 |
frame_ctor_dtindex_YearBeginx1               |   0.9534 |   0.9789 |   0.9739 |
groupby_ngroups_100_cummin                   |  10.7513 |  11.0384 |   0.9740 |
frame_object_equal                           |   6.7577 |   6.9373 |   0.9741 |
frame_apply_np_mean                          |   4.4157 |   4.5323 |   0.9743 |
groupby_transform_series                     |  16.4993 |  16.9323 |   0.9744 |
groupby_ngroups_10000_size                   |   3.4057 |   3.4947 |   0.9745 |
frame_to_csv_date_formatting                 |  10.0207 |  10.2787 |   0.9749 |
groupby_ngroups_10000_var                    |   1.8206 |   1.8671 |   0.9751 |
groupby_ngroups_100_cumsum                   |  10.9870 |  11.2667 |   0.9752 |
frame_from_records_generator_nrows           |   0.6963 |   0.7140 |   0.9753 |
frame_reindex_axis0                          | 126.9610 | 130.1666 |   0.9754 |
frame_html_repr_trunc_si                     |  21.0907 |  21.6153 |   0.9757 |
frame_ctor_dtindex_Nanox1                    |   0.8257 |   0.8460 |   0.9760 |
timeseries_custom_bday_apply_dt64            |   0.0130 |   0.0133 |   0.9760 |
packers_read_sql                             | 475.9804 | 487.6467 |   0.9761 |
frame_mult_st                                |   4.7491 |   4.8637 |   0.9764 |
frame_ctor_dtindex_CBMonthBeginx2            |   2.1600 |   2.2117 |   0.9766 |
frame_drop_dup_inplace                       |   2.0154 |   2.0630 |   0.9769 |
groupby_ngroups_10000_max                    |   1.8667 |   1.9093 |   0.9776 |
groupby_transform                            | 111.2770 | 113.7640 |   0.9781 |
groupby_int_count                            |   3.1677 |   3.2380 |   0.9783 |
frame_apply_axis_1                           |  67.9550 |  69.4570 |   0.9784 |
groupby_transform_multi_key4                 | 103.6166 | 105.8946 |   0.9785 |
timeseries_large_lookup_value                |   0.0147 |   0.0150 |   0.9788 |
stat_ops_frame_sum_float_axis_0              |   3.2840 |   3.3543 |   0.9790 |
frame_insert_500_columns_end                 |  72.5020 |  74.0326 |   0.9793 |
series_align_left_monotonic                  |  13.2531 |  13.5280 |   0.9797 |
read_store                                   |   1.4670 |   1.4973 |   0.9797 |
frame_ctor_dtindex_MonthEndx1                |   1.0383 |   1.0596 |   0.9799 |
frame_getitem_single_column2                 |  16.4550 |  16.7880 |   0.9802 |
frame_mult_no_ne                             |   4.4196 |   4.5087 |   0.9803 |
stat_ops_series_std                          |   0.4000 |   0.4079 |   0.9805 |
groupby_nth_object_any                       | 826.3570 | 842.6287 |   0.9807 |
timedelta_convert_string                     |  79.3490 |  80.9013 |   0.9808 |
query_datetime_index                         |  13.2960 |  13.5486 |   0.9814 |
sql_datetime_read_as_native_sqlalchemy       |  20.8353 |  21.2290 |   0.9815 |
groupby_ngroups_10000_cumsum                 | 997.5189 | 1016.2710 |   0.9815 |
read_csv_comment2                            |  20.3653 |  20.7390 |   0.9820 |
frame_insert_100_columns_begin               |  26.0140 |  26.4893 |   0.9821 |
groupby_ngroups_100_diff                     |  10.1566 |  10.3407 |   0.9822 |
timestamp_series_compare                     |   7.6750 |   7.8133 |   0.9823 |
series_drop_duplicates_string                |   0.3377 |   0.3436 |   0.9827 |
timeseries_asof_nan                          |   2.3669 |   2.4083 |   0.9828 |
groupby_multi_count                          |   5.7224 |   5.8214 |   0.9830 |
stat_ops_frame_mean_float_axis_0             |   3.2860 |   3.3417 |   0.9834 |
frame_ctor_dtindex_CustomBusinessDayx1       |   0.9670 |   0.9833 |   0.9834 |
datetimeindex_infer_dst                      |   2.2013 |   2.2384 |   0.9835 |
timeseries_custom_bmonthend_decr_n           |   0.2236 |   0.2274 |   0.9836 |
frame_ctor_dtindex_CustomBusinessDayx2       |   0.9584 |   0.9743 |   0.9836 |
groupby_ngroups_10000_sem                    |   2.7193 |   2.7643 |   0.9837 |
groupby_nth_datetimes_any                    | 1038.0707 | 1055.2243 |   0.9837 |
timeseries_add_irregular                     |  10.5687 |  10.7396 |   0.9841 |
frame_ctor_dtindex_CBMonthEndx1              |   3.0603 |   3.1094 |   0.9842 |
groupby_ngroups_10000_min                    |   1.8713 |   1.9013 |   0.9842 |
frame_to_csv                                 | 106.9413 | 108.6443 |   0.9843 |
frame_drop_duplicates_na                     |  13.0047 |  13.2117 |   0.9843 |
sql_float_read_table_sqlalchemy              |  13.0567 |  13.2636 |   0.9844 |
left_outer_join_index                        | 1907.0257 | 1936.9203 |   0.9846 |
timeseries_custom_bday_cal_incr_neg_n        |   0.0203 |   0.0207 |   0.9846 |
reindex_fillna_pad_float32                   |   0.1799 |   0.1827 |   0.9848 |
write_store_mixed                            |  12.2370 |  12.4257 |   0.9848 |
strings_replace                              |   9.6880 |   9.8370 |   0.9849 |
series_string_vector_slice                   | 177.1453 | 179.8406 |   0.9850 |
groupby_ngroups_100_describe                 | 123.9127 | 125.7833 |   0.9851 |
frame_ctor_dtindex_CDayx2                    |   0.9597 |   0.9737 |   0.9856 |
frame_repr_wide                              |   9.9707 |  10.1153 |   0.9857 |
groupby_ngroups_10000_cumprod                | 998.0867 | 1012.5403 |   0.9857 |
indexing_dataframe_boolean                   |  23.9023 |  24.2480 |   0.9857 |
series_ctor_from_dict                        |   2.1916 |   2.2227 |   0.9860 |
frame_reindex_both_axes_ix                   |  27.9637 |  28.3584 |   0.9861 |
timedelta_convert_string_seconds             |  86.0843 |  87.2510 |   0.9866 |
timeseries_with_format_no_exact              | 563.7447 | 571.1673 |   0.9870 |
packers_read_json                            | 148.1733 | 150.1200 |   0.9870 |
frame_add                                    |   2.8750 |   2.9120 |   0.9873 |
frame_ctor_dtindex_YearEndx2                 |   0.9830 |   0.9956 |   0.9873 |
reindex_fillna_backfill_float32              |   0.1810 |   0.1833 |   0.9874 |
frame_repr_tall                              |  15.4930 |  15.6867 |   0.9877 |
groupby_ngroups_10000_cummax                 | 985.2877 | 997.4423 |   0.9878 |
groupby_ngroups_100_unique                   |   5.4403 |   5.5074 |   0.9878 |
read_csv_roundtrip_converter                 |   2.2157 |   2.2427 |   0.9880 |
sql_float_write_fallback                     |  43.3389 |  43.8657 |   0.9880 |
groupby_transform_ufunc                      |  85.5910 |  86.6243 |   0.9881 |
frame_ctor_dtindex_YearBeginx2               |   0.9499 |   0.9614 |   0.9881 |
groupby_ngroups_100_value_counts             |  39.1530 |  39.6246 |   0.9881 |
groupby_ngroups_100_count                    |   0.4110 |   0.4157 |   0.9885 |
frame_ctor_dtindex_YearEndx1                 |   0.9763 |   0.9876 |   0.9886 |
frame_loc_dups                               |   0.7643 |   0.7730 |   0.9887 |
eval_frame_and_all_threads                   |  25.3456 |  25.6294 |   0.9889 |
frame_fillna_inplace                         |   6.4066 |   6.4777 |   0.9890 |
groupby_frame_nth_none                       |   2.0367 |   2.0579 |   0.9897 |
frame_to_string_floats                       |  20.9633 |  21.1804 |   0.9897 |
frame_nonunique_equal                        |   6.8734 |   6.9423 |   0.9901 |
series_align_irregular_string                |  45.1504 |  45.5993 |   0.9902 |
sql_write_fallback                           |  70.3687 |  71.0684 |   0.9902 |
groupby_ngroups_10000_unique                 | 462.8704 | 467.4703 |   0.9902 |
eval_frame_chained_cmp_all_threads           |  20.1324 |  20.3323 |   0.9902 |
groupby_ngroups_10000_skew                   | 935.9633 | 945.1787 |   0.9903 |
datetimeindex_normalize                      |   2.2387 |   2.2604 |   0.9904 |
reshape_unstack_simple                       |   2.1416 |   2.1623 |   0.9904 |
strings_extract                              |  30.8023 |  31.0953 |   0.9906 |
packers_write_json                           |  80.5470 |  81.3080 |   0.9906 |
concat_series_axis1                          |  64.6434 |  65.2483 |   0.9907 |
stat_ops_frame_sum_int_axis_1                |   3.1667 |   3.1960 |   0.9908 |
stat_ops_level_frame_sum                     |   2.0533 |   2.0723 |   0.9908 |
lib_fast_zip                                 |   5.8857 |   5.9383 |   0.9911 |
series_getitem_label_slice                   |   0.0453 |   0.0457 |   0.9913 |
frame_interpolate                            |  65.2444 |  65.8100 |   0.9914 |
series_value_counts_strings                  |   3.5717 |   3.6023 |   0.9915 |
groupby_sum_booleans                         |   0.9027 |   0.9104 |   0.9915 |
frame_from_series                            |   0.0866 |   0.0873 |   0.9918 |
strings_title                                |   6.6930 |   6.7480 |   0.9919 |
stat_ops_frame_sum_int_axis_0                |   3.2443 |   3.2707 |   0.9919 |
sql_datetime_write_sqlalchemy                | 119.3853 | 120.3063 |   0.9923 |
dataframe_resample_min_string                |   1.2780 |   1.2877 |   0.9925 |
sql_float_read_query_sqlalchemy              |  11.5434 |  11.6300 |   0.9926 |
groupby_ngroups_100_cumprod                  |  10.9897 |  11.0710 |   0.9926 |
strings_contains_few_noregex                 |   1.8903 |   1.9036 |   0.9930 |
frame_ctor_dtindex_BDayx1                    |   0.9256 |   0.9321 |   0.9931 |
eval_frame_add_python                        |  15.9137 |  16.0240 |   0.9931 |
strings_upper                                |   4.1416 |   4.1700 |   0.9932 |
frame_ctor_dtindex_BQuarterEndx2             |   1.1430 |   1.1507 |   0.9933 |
frame_ctor_dtindex_CBMonthEndx2              |   3.0470 |   3.0673 |   0.9934 |
index_float64_boolean_indexer                |   3.3293 |   3.3513 |   0.9934 |
datetimeindex_converter                      |   0.5593 |   0.5630 |   0.9935 |
sql_read_table_sqlalchemy                    |  37.1761 |  37.4183 |   0.9935 |
groupby_multi_cython                         |  10.9857 |  11.0527 |   0.9939 |
reindex_frame_level_align                    |   0.6000 |   0.6037 |   0.9939 |
groupby_ngroups_100_min                      |   0.3813 |   0.3836 |   0.9940 |
groupby_agg_builtins2                        |  30.1764 |  30.3554 |   0.9941 |
series_timestamp_compare                     |   8.0540 |   8.1016 |   0.9941 |
frame_ctor_dtindex_BusinessDayx2             |   0.9547 |   0.9604 |   0.9941 |
frame_ctor_dtindex_QuarterBeginx2            |   1.0257 |   1.0317 |   0.9941 |
frame_drop_duplicates                        |  13.7166 |  13.7966 |   0.9942 |
series_align_int64_index                     |  27.2223 |  27.3810 |   0.9942 |
frame_ctor_dtindex_BQuarterBeginx2           |   1.2170 |   1.2240 |   0.9942 |
packers_read_pack                            |  64.6993 |  65.0670 |   0.9943 |
frame_constructor_ndarray                    |   0.0703 |   0.0707 |   0.9944 |
frame_ctor_dtindex_BDayx2                    |   0.9560 |   0.9613 |   0.9945 |
index_float64_boolean_series_indexer         |   3.3430 |   3.3614 |   0.9945 |
append_frame_single_homogenous               |   0.9284 |   0.9333 |   0.9947 |
frame_multi_and_st                           |  32.1097 |  32.2754 |   0.9949 |
join_dataframe_index_multi                   |  13.8043 |  13.8727 |   0.9951 |
dtype_infer_timedelta64_2                    |   9.1603 |   9.2057 |   0.9951 |
strings_repeat                               |   3.5223 |   3.5396 |   0.9951 |
groupby_nth_object_none                      | 415.0560 | 417.0973 |   0.9951 |
groupby_nth_float64_none                     |  54.4900 |  54.7580 |   0.9951 |
sort_level_zero                              |   9.2470 |   9.2901 |   0.9954 |
frame_ctor_dtindex_DateOffsetx2              |   0.8554 |   0.8593 |   0.9954 |
packers_write_stata                          |  21.3070 |  21.4037 |   0.9955 |
panel_shift                                  |   0.0720 |   0.0723 |   0.9956 |
packers_read_hdf_table                       |  26.6783 |  26.7960 |   0.9956 |
multiindex_from_product                      |   8.5984 |   8.6340 |   0.9959 |
frame_from_records_generator                 |  50.0429 |  50.2487 |   0.9959 |
strings_startswith                           |   3.1630 |   3.1757 |   0.9960 |
indexing_dataframe_boolean_rows              |   0.2394 |   0.2403 |   0.9960 |
strings_cat                                  |   0.5023 |   0.5043 |   0.9961 |
plot_timeseries_period                       |  93.7583 |  94.1243 |   0.9961 |
groupby_ngroups_100_last                     |   0.3710 |   0.3723 |   0.9964 |
strings_count                                |   4.8520 |   4.8693 |   0.9964 |
series_value_counts_int64                    |   1.5814 |   1.5867 |   0.9966 |
groupby_apply_dict_return                    |  25.1904 |  25.2734 |   0.9967 |
frame_ctor_dtindex_BYearBeginx1              |   1.2080 |   1.2120 |   0.9967 |
strings_get_dummies                          |  57.1720 |  57.3383 |   0.9971 |
match_strings                                |   0.3293 |   0.3303 |   0.9971 |
merge_2intkey_nosort                         |  11.1633 |  11.1943 |   0.9972 |
strings_rstrip                               |   2.8996 |   2.9077 |   0.9972 |
query_store_table                            |   3.6613 |   3.6707 |   0.9974 |
strings_pad                                  |   3.2317 |   3.2399 |   0.9974 |
eval_frame_and_python                        |  37.8340 |  37.9264 |   0.9976 |
stat_ops_level_series_sum_multiple           |   3.8520 |   3.8610 |   0.9977 |
strings_len                                  |   1.3874 |   1.3904 |   0.9978 |
reshape_stack_simple                         |   1.6863 |   1.6900 |   0.9978 |
period_setitem                               |  11.7803 |  11.8054 |   0.9979 |
timeseries_iter_datetimeindex                | 520.1587 | 521.2603 |   0.9979 |
sql_write_sqlalchemy                         | 286.8440 | 287.4134 |   0.9980 |
sql_string_write_fallback                    |  41.7540 |  41.8253 |   0.9983 |
strings_lstrip                               |   2.9674 |   2.9724 |   0.9983 |
panel_from_dict_all_different_indexes        |  82.1180 |  82.2493 |   0.9984 |
groupby_ngroups_10000_cumcount               |  51.9000 |  51.9823 |   0.9984 |
groupby_nth_datetimes_none                   | 407.5426 | 408.1493 |   0.9985 |
stat_ops_level_frame_sum_multiple            |   5.4066 |   5.4146 |   0.9985 |
write_store_table                            |  22.2797 |  22.3097 |   0.9987 |
panel_pct_change_major                       | 4664.3544 | 4670.1253 |   0.9988 |
groupby_multi_size                           |  17.9507 |  17.9723 |   0.9988 |
frame_ctor_dtindex_DateOffsetx1              |   0.8660 |   0.8670 |   0.9989 |
frame_ctor_dtindex_BYearEndx1                |   1.2314 |   1.2327 |   0.9989 |
timeseries_iter_datetimeindex_preexit        |   9.5157 |   9.5260 |   0.9989 |
frame_multi_and_no_ne                        |  21.6930 |  21.7103 |   0.9992 |
panel_pct_change_minor                       | 4684.6507 | 4687.6900 |   0.9994 |
timeseries_iter_periodindex_preexit          |   8.8243 |   8.8301 |   0.9994 |
frame_ctor_dtindex_BMonthEndx1               |   1.0529 |   1.0533 |   0.9996 |
timeseries_asof                              |   2.4884 |   2.4890 |   0.9997 |
panel_from_dict_two_different_indexes        |  55.9740 |  55.9836 |   0.9998 |
packers_write_sql                            | 2071.1230 | 2071.1553 |   1.0000 |
timeseries_asof_single                       |   0.0190 |   0.0190 |   1.0000 |
timedelta_convert_int                        |   0.1136 |   0.1136 |   1.0000 |
timestamp_ops_diff2                          |  18.5594 |  18.5564 |   1.0002 |
eval_frame_chained_cmp_python                |  43.9810 |  43.9737 |   1.0002 |
write_store_table_wide                       |  82.8057 |  82.7880 |   1.0002 |
index_int64_union                            |  56.0040 |  55.9796 |   1.0004 |
groupby_ngroups_10000_nunique                | 3166.3330 | 3164.4727 |   1.0006 |
strings_lower                                |   4.5850 |   4.5823 |   1.0006 |
frame_ctor_dtindex_BusinessDayx1             |   0.9206 |   0.9201 |   1.0006 |
stat_ops_frame_mean_float_axis_1             |   3.5447 |   3.5423 |   1.0007 |
frame_fancy_lookup                           |   2.6730 |   2.6710 |   1.0007 |
frame_ctor_dtindex_QuarterEndx2              |   1.1343 |   1.1334 |   1.0008 |
stat_ops_frame_sum_float_axis_1              |   3.3437 |   3.3406 |   1.0009 |
write_store_table_mixed                      |  27.6550 |  27.6290 |   1.0009 |
timeseries_with_format_replace               | 746.1514 | 745.3683 |   1.0011 |
frame_ctor_dtindex_Microx2                   |   0.6740 |   0.6733 |   1.0011 |
groupby_ngroups_100_all                      |   6.9750 |   6.9674 |   1.0011 |
write_store                                  |   4.7197 |   4.7130 |   1.0014 |
strings_endswith                             |   3.1797 |   3.1743 |   1.0017 |
groupby_ngroups_10000_rank                   | 985.7924 | 984.0270 |   1.0018 |
sql_read_query_fallback                      |  32.2456 |  32.1850 |   1.0019 |
groupby_series_nth_any                       |   3.1114 |   3.1054 |   1.0019 |
groupby_ngroups_100_median                   |   0.3227 |   0.3220 |   1.0020 |
eval_frame_add_python_one_thread             |  15.9946 |  15.9620 |   1.0020 |
index_str_boolean_series_indexer             |   7.7050 |   7.6880 |   1.0022 |
timeseries_1min_5min_mean                    |   0.5416 |   0.5403 |   1.0024 |
frame_ctor_dtindex_Hourx1                    |   0.6730 |   0.6713 |   1.0025 |
panel_from_dict_equiv_indexes                |  34.8890 |  34.8023 |   1.0025 |
sql_datetime_read_and_parse_sqlalchemy       |  17.3173 |  17.2730 |   1.0026 |
timeseries_to_datetime_YYYYMMDD              |   5.9891 |   5.9737 |   1.0026 |
groupby_multi_different_numpy_functions      |   8.7274 |   8.7043 |   1.0026 |
strings_strip                                |   3.1287 |   3.1203 |   1.0027 |
strings_contains_many                        |   4.3583 |   4.3464 |   1.0027 |
strings_center                               |   3.2463 |   3.2373 |   1.0028 |
stats_corr_spearman                          |  59.0444 |  58.8796 |   1.0028 |
strings_encode_decode                        |   0.2133 |   0.2127 |   1.0030 |
groupby_ngroups_10000_last                   |   1.9473 |   1.9410 |   1.0032 |
groupby_ngroups_10000_value_counts           | 3824.3503 | 3811.9609 |   1.0033 |
frame_ctor_dtindex_BMonthBeginx2             |   1.2104 |   1.2063 |   1.0034 |
eval_frame_mult_python                       |  11.4170 |  11.3787 |   1.0034 |
frame_ctor_dtindex_Minutex2                  |   0.6690 |   0.6667 |   1.0035 |
groupby_ngroups_10000_mad                    | 3611.5239 | 3599.0787 |   1.0035 |
packers_write_pack                           |  22.7517 |  22.6727 |   1.0035 |
frame_interpolate_some_good_infer            |   1.9139 |   1.9073 |   1.0035 |
groupby_ngroups_10000_tail                   |  53.7267 |  53.5363 |   1.0036 |
groupby_ngroups_10000_cummin                 | 990.6786 | 987.0000 |   1.0037 |
index_str_boolean_indexer                    |   8.3167 |   8.2856 |   1.0038 |
frame_reindex_columns                        |   0.2507 |   0.2497 |   1.0038 |
stats_rank_pct_average_old                   |  24.4993 |  24.4021 |   1.0040 |
frame_ctor_dtindex_BQuarterBeginx1           |   1.2236 |   1.2187 |   1.0040 |
join_dataframe_index_single_key_small        |   8.2960 |   8.2617 |   1.0042 |
groupby_ngroups_100_rank                     |  10.9740 |  10.9283 |   1.0042 |
timeseries_period_downsample_mean            |   9.2010 |   9.1614 |   1.0043 |
timeseries_custom_bday_cal_incr              |   0.0174 |   0.0173 |   1.0046 |
dtype_infer_int32                            |   0.5891 |   0.5864 |   1.0046 |
strings_contains_many_noregex                |   1.9867 |   1.9774 |   1.0047 |
groupby_ngroups_10000_count                  |   1.8460 |   1.8370 |   1.0049 |
index_float64_div                            |   2.1810 |   2.1703 |   1.0049 |
groupby_ngroups_100_nunique                  |  32.6370 |  32.4736 |   1.0050 |
eval_frame_mult_all_threads                  |   7.0233 |   6.9867 |   1.0052 |
concat_empty_frames2                         |   0.7420 |   0.7380 |   1.0054 |
frame_ctor_dtindex_Hourx2                    |   0.6786 |   0.6750 |   1.0054 |
series_xs_mi_ix                              |   2.9754 |   2.9587 |   1.0056 |
indexing_dataframe_boolean_rows_object       |   0.4157 |   0.4133 |   1.0058 |
frame_ctor_dtindex_Minutex1                  |   0.6716 |   0.6677 |   1.0060 |
dti_reset_index                              |   0.2813 |   0.2797 |   1.0060 |
groupby_indices                              |   4.2757 |   4.2497 |   1.0061 |
frame_ctor_dtindex_Easterx1                  |   1.0210 |   1.0146 |   1.0063 |
groupby_ngroups_10000_mean                   |   1.7073 |   1.6967 |   1.0063 |
timeseries_sort_index                        |   7.1046 |   7.0600 |   1.0063 |
frame_ctor_dtindex_Easterx2                  |   1.0147 |   1.0083 |   1.0064 |
frame_ctor_dtindex_Millix2                   |   0.6734 |   0.6687 |   1.0070 |
eval_frame_add_all_threads                   |   6.9977 |   6.9483 |   1.0071 |
index_datetime_intersection                  |   8.7484 |   8.6863 |   1.0071 |
read_store_table_panel                       |  10.2617 |  10.1870 |   1.0073 |
query_datetime_series                        |  15.9407 |  15.8237 |   1.0074 |
groupby_ngroups_100_size                     |   0.4087 |   0.4056 |   1.0076 |
query_with_boolean_selection                 |  16.6547 |  16.5263 |   1.0078 |
dataframe_resample_max_numpy                 |   1.2826 |   1.2727 |   1.0078 |
frame_ctor_dtindex_QuarterEndx1              |   1.1436 |   1.1347 |   1.0078 |
groupby_ngroups_100_mad                      |  37.4546 |  37.1620 |   1.0079 |
dataframe_resample_mean_string               |   2.2933 |   2.2753 |   1.0079 |
frame_ctor_dtindex_Weekx2                    |   0.8450 |   0.8384 |   1.0080 |
groupby_ngroups_10000_median                 |   2.2680 |   2.2493 |   1.0083 |
sql_float_write_sqlalchemy                   |  80.8311 |  80.1633 |   1.0083 |
frame_ctor_dtindex_BMonthBeginx1             |   1.2256 |   1.2153 |   1.0085 |
panel_from_dict_same_index                   |  33.1450 |  32.8560 |   1.0088 |
concat_empty_frames1                         |   0.7490 |   0.7424 |   1.0089 |
timeseries_iter_periodindex                  | 880.1933 | 872.3943 |   1.0089 |
concat_small_frames                          |  37.3684 |  37.0350 |   1.0090 |
frame_ctor_dtindex_Secondx2                  |   0.6737 |   0.6677 |   1.0090 |
strings_get                                  |   2.2707 |   2.2503 |   1.0091 |
timeseries_custom_bmonthbegin_incr_n         |   0.1850 |   0.1833 |   1.0091 |
groupby_ngroups_10000_pct_change             | 3069.1967 | 3041.4417 |   1.0091 |
groupby_agg_builtins1                        |   7.5793 |   7.5103 |   1.0092 |
frame_ctor_dtindex_Millix1                   |   0.6843 |   0.6780 |   1.0094 |
groupby_ngroups_100_max                      |   0.3740 |   0.3703 |   1.0099 |
stat_ops_level_series_sum                    |   1.4323 |   1.4183 |   1.0099 |
groupby_ngroups_10000_describe               | 12278.1421 | 12156.8247 |   1.0100 |
frame_apply_user_func                        |  67.4516 |  66.7843 |   1.0100 |
groupby_ngroups_100_mean                     |   0.3033 |   0.3003 |   1.0101 |
sql_float_read_query_fallback                |   8.0307 |   7.9500 |   1.0101 |
frame_ctor_dtindex_Weekx1                    |   0.8466 |   0.8380 |   1.0102 |
frame_xs_mi_ix                               |   3.0550 |   3.0240 |   1.0102 |
frame_mask_floats                            |   3.1620 |   3.1293 |   1.0104 |
frame_ctor_dtindex_Dayx2                     |   0.6743 |   0.6673 |   1.0105 |
reshape_pivot_time_series                    | 132.8297 | 131.4223 |   1.0107 |
strings_contains_few                         |   4.2303 |   4.1854 |   1.0107 |
frame_ctor_dtindex_Microx1                   |   0.6830 |   0.6757 |   1.0108 |
groupby_ngroups_100_skew                     |  10.1163 |  10.0080 |   1.0108 |
frame_ctor_dtindex_QuarterBeginx1            |   1.0430 |   1.0316 |   1.0110 |
groupby_multi_series_op                      |  10.1987 |  10.0866 |   1.0111 |
groupby_ngroups_100_sem                      |   0.6766 |   0.6689 |   1.0115 |
timeseries_infer_freq                        |   7.1473 |   7.0653 |   1.0116 |
frame_drop_dup_na_inplace                    |   1.8710 |   1.8493 |   1.0117 |
panel_pct_change_items                       | 5636.5933 | 5570.4817 |   1.0119 |
stats_rank2d_axis0_average                   |  17.0420 |  16.8406 |   1.0120 |
series_drop_duplicates_int                   |   0.5963 |   0.5890 |   1.0124 |
eval_frame_add_one_thread                    |   9.2280 |   9.1143 |   1.0125 |
stats_rank2d_axis1_average                   |   9.2716 |   9.1566 |   1.0126 |
stats_rank_average_int                       |  16.4713 |  16.2663 |   1.0126 |
read_csv_infer_datetime_format_custom        |   6.6024 |   6.5193 |   1.0127 |
groupby_ngroups_10000_first                  |   1.9273 |   1.9030 |   1.0128 |
frame_ctor_dtindex_BMonthEndx2               |   1.0524 |   1.0387 |   1.0132 |
frame_to_csv2                                | 107.0263 | 105.6330 |   1.0132 |
groupby_ngroups_10000_all                    | 641.7347 | 633.2950 |   1.0133 |
groupby_frame_nth_any                        |   4.8727 |   4.8079 |   1.0135 |
join_dataframe_integer_2key                  |   3.5030 |   3.4557 |   1.0137 |
frame_ctor_dtindex_BYearBeginx2              |   1.2236 |   1.2070 |   1.0138 |
write_csv_standard                           |  36.0817 |  35.5883 |   1.0139 |
dataframe_resample_mean_numpy                |   2.3357 |   2.3030 |   1.0142 |
unstack_sparse_keyspace                      |   1.1070 |   1.0913 |   1.0143 |
packers_write_csv                            | 957.6867 | 944.0500 |   1.0144 |
frame_ctor_dtindex_Secondx1                  |   0.6804 |   0.6707 |   1.0145 |
packers_read_csv                             | 143.2724 | 141.2063 |   1.0146 |
index_datetime_union                         |   8.7420 |   8.6147 |   1.0148 |
frame_ctor_dtindex_MonthBeginx2              |   1.0520 |   1.0366 |   1.0148 |
groupby_first_object                         |  14.0340 |  13.8283 |   1.0149 |
groupby_ngroups_100_cummax                   |  11.0037 |  10.8411 |   1.0150 |
eval_frame_and_python_one_thread             |  39.7060 |  39.1093 |   1.0153 |
groupby_first_datetimes                      |   8.6220 |   8.4914 |   1.0154 |
groupby_series_simple_cython                 | 163.5257 | 161.0154 |   1.0156 |
groupby_ngroups_100_any                      |   7.0360 |   6.9261 |   1.0159 |
groupby_frame_cython_many_columns            |   2.1270 |   2.0934 |   1.0161 |
groupby_frame_singlekey_integer              |   1.4733 |   1.4497 |   1.0163 |
sparse_frame_constructor                     |   4.5350 |   4.4603 |   1.0167 |
groupby_ngroups_10000_diff                   | 896.7590 | 881.9984 |   1.0167 |
eval_frame_mult_one_thread                   |   9.3827 |   9.2100 |   1.0188 |
join_dataframe_integer_key                   |   1.2490 |   1.2257 |   1.0190 |
groupby_ngroups_100_prod                     |   0.3770 |   0.3699 |   1.0191 |
groupby_ngroups_100_sum                      |   0.3773 |   0.3700 |   1.0198 |
groupby_ngroups_10000_any                    | 647.5333 | 634.9807 |   1.0198 |
groupby_ngroups_100_pct_change               |  32.0113 |  31.3670 |   1.0205 |
write_store_table_dc                         | 102.1880 | 100.1193 |   1.0207 |
timeseries_custom_bmonthend_incr             |   0.1470 |   0.1440 |   1.0210 |
packers_read_json_date_index                 | 139.0120 | 136.0533 |   1.0217 |
frame_to_csv_mixed                           | 495.9540 | 485.2450 |   1.0221 |
read_csv_standard                            |   9.2714 |   9.0706 |   1.0221 |
index_float64_mul                            |   1.7173 |   1.6800 |   1.0222 |
timeseries_custom_bday_cal_incr_n            |   0.0180 |   0.0176 |   1.0225 |
frame_iloc_dups                              |   0.1946 |   0.1903 |   1.0225 |
ctor_index_array_string                      |   0.0143 |   0.0140 |   1.0227 |
read_csv_infer_datetime_format_iso8601       |   1.4380 |   1.4053 |   1.0232 |
frame_ctor_dtindex_Nanox2                    |   0.8370 |   0.8173 |   1.0241 |
frame_dropna_axis0_any                       |  18.2440 |  17.8137 |   1.0242 |
query_store_table_wide                       |   7.3420 |   7.1683 |   1.0242 |
read_store_table                             |   1.9260 |   1.8797 |   1.0246 |
melt_dataframe                               |   1.5437 |   1.5063 |   1.0248 |
read_table_multiple_date_baseline            |  49.6910 |  48.4769 |   1.0250 |
read_csv_default_converter                   |   1.3626 |   1.3290 |   1.0253 |
strings_slice                                |   2.7270 |   2.6596 |   1.0253 |
timeseries_slice_minutely                    |   0.0413 |   0.0403 |   1.0256 |
timeseries_custom_bday_incr                  |   0.0126 |   0.0123 |   1.0258 |
groupby_pivot_table                          |  13.1516 |  12.8187 |   1.0260 |
packers_write_json_date_index                |  97.4703 |  94.9010 |   1.0271 |
sort_level_one                               |  10.4384 |  10.1577 |   1.0276 |
packers_write_hdf_store                      |  77.3354 |  75.2500 |   1.0277 |
packers_read_hdf_store                       |  23.9290 |  23.2810 |   1.0278 |
join_dataframe_index_single_key_bigger_sort  |   9.5987 |   9.3353 |   1.0282 |
frame_ctor_dtindex_Dayx1                     |   0.6866 |   0.6677 |   1.0284 |
frame_dropna_axis0_all                       |  50.6383 |  49.2280 |   1.0286 |
groupby_series_nth_none                      |   1.0450 |   1.0157 |   1.0289 |
groupby_simple_compress_timing               |  23.2643 |  22.5770 |   1.0304 |
strings_join_split                           |  30.0337 |  29.1383 |   1.0307 |
read_csv_vb                                  |  17.7174 |  17.1843 |   1.0310 |
frame_ctor_dtindex_MonthBeginx1              |   1.0637 |   1.0310 |   1.0317 |
read_store_table_mixed                       |   5.0686 |   4.9113 |   1.0320 |
groupby_transform_series2                    | 107.8140 | 104.4597 |   1.0321 |
read_store_mixed                             |   3.8270 |   3.7070 |   1.0324 |
indexing_panel_subset                        |   0.6994 |   0.6770 |   1.0330 |
index_int64_intersection                     |  11.6087 |  11.2347 |   1.0333 |
groupby_ngroups_10000_head                   |  62.0047 |  59.9450 |   1.0344 |
packers_read_pickle                          | 114.0067 | 110.1387 |   1.0351 |
indexing_dataframe_boolean_st                |  27.9946 |  27.0204 |   1.0361 |
datetimeindex_add_offset                     |   0.2019 |   0.1947 |   1.0371 |
read_csv_precise_converter                   |   1.3170 |   1.2689 |   1.0379 |
replace_large_dict                           | 9887.6210 | 9513.5167 |   1.0393 |
panel_shift_minor                            |   0.0714 |   0.0687 |   1.0394 |
groupby_dt_size                              |  20.5223 |  19.7107 |   1.0412 |
frame_float_equal                            |   1.4460 |   1.3880 |   1.0418 |
read_table_multiple_date                     | 111.1593 | 106.6784 |   1.0420 |
frame_ctor_dtindex_BYearEndx2                |   1.2523 |   1.2004 |   1.0433 |
groupby_dt_timegrouper_size                  |  16.5887 |  15.8983 |   1.0434 |
write_store_table_panel                      |  33.3457 |  31.8854 |   1.0458 |
multiindex_with_datetime_level_full          |   9.4700 |   9.0510 |   1.0463 |
dataframe_reindex                            |   0.2774 |   0.2650 |   1.0465 |
dtype_infer_datetime64                       |   6.9840 |   6.6653 |   1.0478 |
frame_iloc_big                               |   0.1233 |   0.1177 |   1.0479 |
packers_write_hdf_table                      |  53.4286 |  50.8950 |   1.0498 |
frame_reindex_upcast                         |   6.2157 |   5.9077 |   1.0521 |
eval_frame_chained_cmp_python_one_thread     |  45.9140 |  43.6314 |   1.0523 |
frame_fillna_many_columns_pad                |   3.4017 |   3.2300 |   1.0531 |
frame_add_no_ne                              |   4.7170 |   4.4734 |   1.0545 |
packers_write_pickle                         | 117.2147 | 111.0173 |   1.0558 |
frame_add_st                                 |   5.1017 |   4.8254 |   1.0573 |
dti_reset_index_tz                           |   4.9984 |   4.7223 |   1.0585 |
packers_write_stata_with_validation          |  38.0213 |  35.8077 |   1.0618 |
read_csv_thou_vb                             |  16.3200 |  15.3640 |   1.0622 |
sparse_series_to_frame                       | 102.7683 |  96.6427 |   1.0634 |
groupby_ngroups_100_head                     |   0.6347 |   0.5964 |   1.0642 |
datetime_index_union                         |   0.0443 |   0.0416 |   1.0649 |
packers_read_stata_with_validation           |  61.0547 |  57.2973 |   1.0656 |
timestamp_ops_diff1                          |  13.4957 |  12.6610 |   1.0659 |
indexing_dataframe_boolean_no_ne             |  75.4363 |  70.6543 |   1.0677 |
groupby_first_float64                        |   2.4737 |   2.3134 |   1.0693 |
reindex_frame_level_reindex                  |   0.6247 |   0.5829 |   1.0717 |
packers_read_stata                           |  51.3960 |  47.5416 |   1.0811 |
dtype_infer_uint32                           |   0.3657 |   0.3360 |   1.0882 |
timeseries_custom_bmonthend_incr_n           |   0.2033 |   0.1867 |   1.0890 |
groupby_frame_median                         |   5.4690 |   5.0160 |   1.0903 |
merge_2intkey_sort                           |  28.0894 |  25.7593 |   1.0905 |
stats_rank_average                           |  25.4117 |  23.3026 |   1.0905 |
lib_fast_zip_fillna                          |   9.8244 |   8.9866 |   1.0932 |
dataframe_resample_max_string                |   1.3886 |   1.2700 |   1.0934 |
frame_sort_index_by_columns                  |  29.9646 |  27.1937 |   1.1019 |
dtype_infer_int64                            |   0.6380 |   0.5790 |   1.1020 |
timeseries_custom_bday_decr                  |   0.0214 |   0.0193 |   1.1070 |
index_from_series_ctor                       |   0.0180 |   0.0157 |   1.1414 |
timeseries_to_datetime_iso8601               |   3.7277 |   3.2137 |   1.1599 |
timeseries_is_month_start                    |   3.0553 |   2.6130 |   1.1693 |
dtype_infer_timedelta64_1                    | 108.6977 |  92.8040 |   1.1713 |
frame_assign_timeseries_index                |   0.7353 |   0.6060 |   1.2134 |
series_getitem_pos_slice                     |   0.0480 |   0.0373 |   1.2878 |
reindex_daterange_backfill                   |   0.8203 |   0.5903 |   1.3896 |
reindex_daterange_pad                        |   0.8033 |   0.5674 |   1.4159 |
frame_get_numeric_data                       |   0.1733 |   0.0850 |   2.0402 |
-------------------------------------------------------------------------------
Test name                                    | head[ms] | base[ms] |  ratio   |
-------------------------------------------------------------------------------

Ratio < 1.0 means the target commit is faster then the baseline.
Seed used: 1234

Target [6d15282] : Test passing values to notnull
Base   [0fe43a6] : Merge pull request #9120 from minrk/nbviewer-link

fix an nbviewer link in tutorials


                                        count       mean        std       min        25%        50%         75%         max
frame_dropna_axis1_any                      3  42.123092  57.443632  0.172891   9.387472  18.602053   63.098192  107.594331
frame_dropna_axis1_all                      3  62.232099  68.268287  0.375275  25.608621  50.841967   93.160510  135.479053
stats_rolling_mean                          3   0.662018   0.117045  0.529687   0.617042   0.704397    0.728184    0.751972
timeseries_1min_5min_ohlc                   3   0.730928   0.129332  0.615358   0.661079   0.706801    0.788713    0.870625
groupby_ngroups_100_std                     3   0.526194   0.246316  0.344674   0.386000   0.427326    0.616955    0.806584
frame_mask_bools                            3   3.591287   2.386549  0.866217   2.732457   4.598697    4.953822    5.308946
groupby_first_float32                       3   1.902050   0.889544  0.888186   1.577257   2.266328    2.408981    2.551635
join_dataframe_index_single_key_bigger      3   6.514730   4.902918  0.888890   4.833930   8.778969    9.327650    9.876331
dtype_infer_float64                         3   0.718731   0.160584  0.595013   0.627995   0.660976    0.780590    0.900204
datetime_index_intersection                 3   0.493892   0.357224  0.273625   0.287811   0.301997    0.604025    0.906053
groupby_ngroups_100_cumcount                3   0.694597   0.188116  0.559330   0.587185   0.615040    0.762230    0.909420
stats_rank_pct_average                      3  16.729240  13.748139  0.910415  12.196846  23.483276   24.638653   25.794029
timeseries_year_incr                        3   0.313748   0.518030  0.013987   0.014663   0.015338    0.463628    0.911917
groupby_last_float32                        3   2.062247   1.003462  0.912048   1.714039   2.516031    2.637347    2.758662
frame_ctor_nested_dict_int64                3  42.602704  36.208382  0.916103  30.792047  60.667992   63.446005   66.224019
groupby_last_object                         3   9.091931   7.091733  0.924740   6.792542  12.660344   13.175527   13.690710
join_non_unique_equal                       3   0.727030   0.178423  0.602643   0.624816   0.646989    0.789223    0.931458
read_parse_dates_iso8601                    3   1.064473   0.120680  0.932735   1.011869   1.091003    1.130342    1.169682
frame_fancy_lookup_all                      3   8.776382   6.806659  0.933118   6.595903  12.258689   12.698015   13.137341
dtype_infer_float32                         3   0.678060   0.222276  0.531356   0.550191   0.569026    0.751412    0.933799
frame_ctor_list_of_dict                     3  37.075973  31.348026  0.937234  27.147934  53.358634   55.145343   56.932052
reindex_fillna_backfill                     3   0.614456   0.279974  0.438372   0.453035   0.467698    0.702498    0.937298
frame_ctor_dtindex_BQuarterEndx1            3   1.100488   0.142900  0.940804   1.042567   1.144330    1.180331    1.216332
dataframe_resample_min_numpy                3   1.206950   0.233090  0.941820   1.120601   1.299381    1.339515    1.379649
frame_apply_ref_by_name                     3   8.189079   6.286229  0.941864   6.200448  11.459033   11.812687   12.166341
groupby_last_datetimes                      3   6.516501   4.834685  0.942841   4.986234   9.029627    9.303331    9.577036
strings_match                               3   3.462145   2.185150  0.943867   2.764408   4.584948    4.721284    4.857620
groupby_ngroups_10000_sum                   3   1.577970   0.550586  0.945202   1.393095   1.840989    1.894355    1.947721
read_store_table_wide                       3  10.473736   8.260989  0.946863   7.884077  14.821291   15.237172   15.653054
reindex_fillna_pad                          3   0.463499   0.419007  0.215610   0.221610   0.227610    0.587443    0.947277
...                                       ...        ...        ...       ...        ...        ...         ...         ...
packers_write_stata_with_validation         3  24.963612  20.729129  1.061820  18.434755  35.807689   36.914508   38.021326
read_csv_thou_vb                            3  10.915408   8.546486  1.062222   8.213117  15.364011   15.842001   16.319990
sparse_series_to_frame                      3  66.824793  57.033351  1.063385  48.853019  96.642653   99.705497  102.768342
groupby_ngroups_100_head                    3   0.765089   0.259773  0.596364   0.615517   0.634670    0.849451    1.064232
datetime_index_union                        3   0.383625   0.589990  0.041644   0.042995   0.044346    0.554616    1.064885
packers_read_stata_with_validation          3  39.805864  33.602632  1.065577  29.181443  57.297309   59.176008   61.054707
timestamp_ops_diff1                         3   9.074197   6.947911  1.065927   6.863454  12.660980   13.078332   13.495684
indexing_dataframe_boolean_no_ne            3  49.052756  41.625021  1.067681  35.860997  70.654313   73.045293   75.436274
groupby_first_float64                       3   1.952113   0.768736  1.069291   1.691333   2.313375    2.393524    2.473672
reindex_frame_level_reindex                 3   0.759794   0.270936  0.582933   0.603835   0.624736    0.848224    1.071711
packers_read_stata                          3  33.339555  28.003058  1.081073  24.311346  47.541618   49.468795   51.395973
dtype_infer_uint32                          3   0.596629   0.425989  0.336011   0.350833   0.365655    0.726938    1.088221
timeseries_custom_bmonthend_incr_n          3   0.492982   0.516211  0.186682   0.194987   0.203292    0.646133    1.088974
groupby_frame_median                        3   3.858441   2.407948  1.090310   3.053159   5.016009    5.242507    5.469004
merge_2intkey_sort                          3  18.313040  14.960627  1.090455  13.424877  25.759300   26.924332   28.089364
stats_rank_average                          3  16.601609  13.474336  1.090507  12.196571  23.302635   24.357160   25.411685
lib_fast_zip_fillna                         3   6.634735   4.817338  1.093219   5.039925   8.986632    9.405494    9.824355
dataframe_resample_max_string               3   1.250678   0.148543  1.093429   1.181703   1.269976    1.329303    1.388629
frame_sort_index_by_columns                 3  19.420069  15.924387  1.101895  14.147800  27.193705   28.579156   29.964606
dtype_infer_int64                           3   0.772986   0.286452  0.578960   0.608484   0.638008    0.869999    1.101990
timeseries_custom_bday_decr                 3   0.382562   0.627379  0.019312   0.020345   0.021378    0.564187    1.106996
index_from_series_ctor                      3   0.391704   0.649269  0.015736   0.016848   0.017961    0.579688    1.141414
timeseries_to_datetime_iso8601              3   2.700441   1.358650  1.159924   2.186824   3.213724    3.470699    3.727674
timeseries_is_month_start                   3   2.279203   0.986333  1.169287   1.891138   2.612988    2.834161    3.055334
dtype_infer_timedelta64_1                   3  67.557649  58.038920  1.171260  46.987647  92.804035  100.750844  108.697653
frame_assign_timeseries_index               3   0.851547   0.319954  0.605981   0.670632   0.735283    0.974330    1.213377
series_getitem_pos_slice                    3   0.457707   0.718942  0.037273   0.042637   0.048002    0.667924    1.287846
reindex_daterange_backfill                  3   0.933417   0.411469  0.590324   0.705322   0.820319    1.104963    1.389607
reindex_daterange_pad                       3   0.928851   0.437973  0.567357   0.685334   0.803312    1.109598    1.415885
frame_get_numeric_data                      3   0.766170   1.104248  0.084956   0.129143   0.173330    1.106777    2.040225

[527 rows x 8 columns]
```
 the isnull determination is prob ok, but the vbenches are all very misleading. try this. In fact should add a mixed-type vbench.

```
In [1]: data = np.random.randn(10000, 1000)

In [2]: df = DataFrame(data)

In [3]: df.ix[50:1000,20:50] = np.nan

In [4]: df.ix[2000:3000] = np.nan

In [5]: df.ix[:,60:70] = np.nan

In [6]: df2 = df.copy()

In [7]: df2['foo'] = 'bar'

In [8]: %timeit df.dropna(how="any",axis=1)
10 loops, best of 3: 118 ms per loop

In [9]: %timeit df2.dropna(how="any",axis=1)
10 loops, best of 3: 159 ms per loop

In [10]: %timeit df2.dropna(how="any",axis=0)
1 loops, best of 3: 1.69 s per loop

In [11]: %timeit df2.dropna(how="any",axis=1)
10 loops, best of 3: 159 ms per loop

In [12]: %timeit DataFrame(df2.values).dropna(how="any",axis=1)
1 loops, best of 3: 671 ms per loop

In [13]: %timeit DataFrame(df2.values).dropna(how="any",axis=0)
1 loops, best of 3: 1.59 s per loop
```
 @qwhelan so I think you can use this perf fix, but only if `not self._is_mixed_type`, otherwise need to leave it alone on axis=1.
 @jreback Thanks for the pointer. I'll add a mixed-type case to the vb_suite and investigate this further in the next few days (getting on a plane in a few hours).
 @qwhelan thanks! certainly can be perf improved.
 Still have some cleanup to do, but here's a new vbench with the mixed-dtype case:

```
Invoked with :
--ncalls: 3
--repeats: 10


-------------------------------------------------------------------------------
Test name                                    | head[ms] | base[ms] |  ratio   |
-------------------------------------------------------------------------------
frame_dropna_axis0_any_mixed_dtypes          | 178.4977 | 1685.6616 |   0.1059 |
frame_dropna_axis0_all_mixed_dtypes          | 203.9243 | 1664.1789 |   0.1225 |
frame_dropna_axis1_any                       |  19.9773 | 104.9783 |   0.1903 |
frame_dropna_axis1_all                       |  52.2277 | 129.7480 |   0.4025 |
frame_dropna_axis0_all                       |  44.6427 |  45.8930 |   0.9728 |
frame_dropna_axis0_any                       |  17.4924 |  17.8483 |   0.9801 |
frame_dropna_axis1_all_mixed_dtypes          | 195.1770 | 198.6097 |   0.9827 |
frame_dropna_axis1_any_mixed_dtypes          | 170.0930 | 166.3067 |   1.0228 |
-------------------------------------------------------------------------------
Test name                                    | head[ms] | base[ms] |  ratio   |
-------------------------------------------------------------------------------

Ratio < 1.0 means the target commit is faster then the baseline.
Seed used: 1234

Target [239000e] : mixed
Base   [099a02c] : Merge pull request #9061 from behzadnouri/nan-pivot

pivot & unstack with nan in the index
```
 @jreback I think this patch is ready - let me know if there's anything I should address.

The axis information doesn't seem to be relevant as to which branch to take here, as `notnull()` is being done on the same axis in both cases. The `axis` argument is actually flipped here anyway, `df.dropna(axis=0)` leads to the `axis == 1` path, which leads to the `.values` performance issue you noted.
 @qwhelan ok this looks gr8! ping when green!

and feel free to look for more of these types of things. Anytime `.values` is called is usually a red-flag. (as this is only applicable on a single-dtyped frame), except in a small number of cases.

And of course not everything is profiled (though hopefully tested)
 @jreback Travis is giving this a green - looks good to go.

I'm seeing some good candidates for investigation, so I'll try and find some time to dig in over the next few weeks.
 @qwhelan thank you sir!
