pydata/pandas — pull request #5815 by jreback (2014-01-01 18:50:03+00:00)
Title: PERF: perf issue with dropna on frame

took out the apply on ``count`` and just compute directly

```
-------------------------------------------------------------------------------
Test name | head[ms] | base[ms] | ratio |
-------------------------------------------------------------------------------
frame_dropna_axis1_any | 147.5154 | 334.2137 | 0.4414 |
frame_dropna_axis1_all | 251.1443 | 437.9021 | 0.5735 |
frame_dropna_axis0_all | 80.6900 | 80.8613 | 0.9979 |
frame_dropna_axis0_any | 58.6040 | 54.6887 | 1.0716 |
-------------------------------------------------------------------------------
Test name | head[ms] | base[ms] | ratio |
-------------------------------------------------------------------------------

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

Target [c6e300d] : PERF: perf issue with dropna on frame
Base [5e176a9] : Merge pull request #5738 from y-p/PR_json_pr_ver

BLD: ci/print_versions.py learned to output json

```