read csv thousands separator
From [this SO question](http://stackoverflow.com/questions/17797384/date-and-time-in-pandas-read-csv), with input to include thousands:

```

In [1]: s = '06.02.2013;13:00;1.000,215;0,215;0,185;0,205;0,00'

In [2]: pd.read_csv(StringIO(s), sep=';', header=None, parse_dates={'Dates': [0, 1]}, index_col=0, decimal=',')
Out[2]:
                              2      3      4      5  6
Dates
2013-06-02 13:00:00  10.000,215  0.215  0.185  0.205  0

In [3]: pd.read_csv(StringIO(s), sep=';', header=None, parse_dates={'Dates': [0, 1]}, index_col=0, decimal=',', thousands='.')
Out[3]:
                        2      3      4      5  6
Dates
6022013 13:00   1.000,215  0.215  0.185  0.205  0
```

_Note: the Dates column (as well as the thousands not being converted._
