Why read_table method duplicated characters from the same column
Here is the text data I would like to read as a data frame:

data3="Date Open High Low Close Volume\nMay 16, 2014 2.92 2.93 2.82 2.85 25,715,748\nMay 15, 2014 3.02 3.05 2.88 2.92 28,311,224\nAug 8, 2013 1.97 1.98 1.94 1.95 20,100,154\nAug 7, 2013 1.89 1.97 1.87 1.95 29,206,564\nAug 6, 2013 1.95 2.01 1.88 1.90 52,198,842\nAug 5, 2013 1.88 1.94 1.88 1.92 29,041,924\nAug 2, 2013 1.86 1.88 1.83 1.86 22,169,076"

It's from an Html table of 6 columns: Date Open High Low Close Volume.

When I use wether the wether read_csv or read_table, I have a weird output.
Here is my script:

in [0] : 
import StringIO as s
import pandas as pd

data3="Date Open High Low Close Volume\nMay 16, 2014 2.92 2.93 2.82 2.85 25,715,748\nMay 15, 2014 3.02 3.05 2.88 2.92 28,311,224\nAug 8, 2013 1.97 1.98 1.94 1.95 20,100,154\nAug 7, 2013 1.89 1.97 1.87 1.95 29,206,564\nAug 6, 2013 1.95 2.01 1.88 1.90 52,198,842\nAug 5, 2013 1.88 1.94 1.88 1.92 29,041,924\nAug 2, 2013 1.86 1.88 1.83 1.86 22,169,076"

pd.read_table(s.StringIO(data3),
            header=0,
            thousands=',',
            sep=" ",
            parse_dates=False)

out[0] : 
![image](https://cloud.githubusercontent.com/assets/5865600/3008327/a4535af4-deb8-11e3-931f-8c1ec97c41e5.png)

And I would like to have:

![image](https://cloud.githubusercontent.com/assets/5865600/3008341/ec649ad8-deb8-11e3-9207-02e3051cc9d8.png)

And if I set the parameter parse_dates to TRUE, I got this:

![image](https://cloud.githubusercontent.com/assets/5865600/3008347/148e7876-deb9-11e3-9997-b0dd99239276.png)

Even weirder !!

Im not sure if it is a bug or I did something wrong but if someone can give us a clue.....it would be welcome.

Thanks

Rgds,

Mickael
