Sorting a Larg-ish Series Appears to be Broken
I'm doing this in an iPython Notebook using 0.13.1 installed by Anaconda on Windows:

``` python
import pandas as pd
import matplotlib.pyplot as plt
from csv import excel
%pylab inline

omob = pd.read_csv("LoadTimes.csv", names=["Timing"], dialect=excel).Timing

sliced = omob[(omob > 0) & (omob < 120000)]
wtf = pd.Series(sorted(sliced))
idk = pd.Series(sorted(omob.clip(0, 120000)))
pd.stats.moments.rolling_mean(wtf, 100).plot(logy=True,color='g')
pd.stats.moments.rolling_mean(idk, 100).plot(logy=True,color='b')

srt = pd.Series(sliced)
odr = sliced.order()
srt.sort()
pd.stats.moments.rolling_mean(srt, 100).plot(logy=True,color='r')
pd.stats.moments.rolling_mean(odr, 100).plot(logy=True,color='black')
```

https://www.dropbox.com/s/ozko9yj6rgzjske/LoadTimes.csv for the data - it's only about half a MB.

Only one of those plots is actually sorted and it's the first one.  The second clearly got close and stopped for some reason.  The last two look like seismograph readings:
![Imgur](http://i.imgur.com/eIgwaSM.png)
