Timezone conversion? Strange behaviour in read_csv
I have this dataset

```
datetime,CGI,numRecords,countryCode
2014-03-30 01:00:00,222-01-00149-19464,1,39
2014-03-30 02:00:00,222-01-00149-19464,3,39
2014-03-30 03:00:00,222-01-00149-19464,1,39
```

I have this code

```
import pandas as pd
import numpy as np
calls_df = pd.read_csv('222-01-00149-19464.csv', sep=',', encoding="utf-8-sig")
calls_df.datetime = calls_df.datetime.astype('datetime64[s]')

calls_df = calls_df.set_index(['datetime'], drop=False)
calls_df = calls_df.sort(['datetime'])
calls_df[calls_df.datetime == datetime.datetime(2014, 3, 30, 1)].head()
```

But the result is this:
![screen shot 2014-10-25 at 22 22 49](https://cloud.githubusercontent.com/assets/190799/4781017/bf0011a4-5c84-11e4-953c-739f782b9014.png)

Why?
