pydata/pandas — pull request #7684 by jreback (2014-07-07 18:43:34+00:00)
Title: PERF: better perf on min/max on indices not containing NaT for DatetimeIndex/PeriodsIndex 

closes #7633

close to what it was in 0.14.0
key was to not keep recomputing whether an index ``hasnans`` every time we need it (it is now cached).
further ``min/max`` are optimized if the index is monotonic

```
-------------------------------------------------------------------------------
Test name | head[ms] | base[ms] | ratio |
-------------------------------------------------------------------------------
timeseries_timestamp_downsample_mean | 4.5697 | 7.8034 | 0.5856 |
dataframe_resample_min_string | 1.8380 | 2.5294 | 0.7266 |
dataframe_resample_min_numpy | 1.8580 | 2.5463 | 0.7297 |
dataframe_resample_max_numpy | 1.8887 | 2.5803 | 0.7320 |
dataframe_resample_max_string | 1.9130 | 2.5553 | 0.7486 |
dataframe_resample_mean_numpy | 2.6687 | 3.3340 | 0.8004 |
dataframe_resample_mean_string | 2.7773 | 3.3080 | 0.8396 |

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

Target [d2d30c7] : PERF: better perf on min/max on indices not containing NaT for DatetimeIndex/PeriodIndex
Base [e060616] : DOC: minor corrections in v0.14.1
```