io.read_csv: ValueError due to long lines
I try to read a csv file were some lines are longer than the rest.

Pandas `C engine` throws an error with these lines. 
But I do not was to skip these as discussed in [ a comment on a similar issue](https://github.com/pydata/pandas/issues/2886#issuecomment-30425534).

I prefer to "cut" the "bad columns" off using usecols. But I get the following errors:

```
df = pd.read_csv(file_path, sep=',', skiprows=1, header=None, 
                       usecols=range(0,23), nrows=None, 
                         engine='python')
```

Throws:

`ValueError: Expected 10 fields in line 100, saw 20`

Why is the `ValueError` raised although I explicitly defined the columns to use?

References:
- #2886 
- [Dealing with bad lines](http://github.com/pydata/pandas/issues/2886) -- does not apply
- [Dealing with bad lines II](http://nipunbatra.github.io/2013/06/reading-unclean-data-csv-using-pandas/)
- [Handling Variable Number of Columns with Pandas - Python](http://stackoverflow.com/questions/15242746/handling-variable-number-of-columns-with-pandas-python)
- [pandas read_csv and filter columns with usecols](http://stackoverflow.com/questions/15017072/pandas-read-csv-and-filter-columns-with-usecols), especially: http://stackoverflow.com/a/27791362
