read_csv skiprows not always 0-indexed
Indexing is inconsistent in Pandas v.0.16.2 `read_csv`'s `skiprows` option. For example:
Given the csv `temp.txt`:

```
a,b,c
1,2,3
4,5,6
7,8,9
```

this happens:

```
In [76]: pd.read_csv('temp.txt', dtype=str, skiprows=[1,2])
Out[76]: 
   a  b  c
0  7  8  9

In [77]: pd.read_csv('temp.txt', dtype=str, skiprows=[0,1])
Out[77]: 
   4  5  6
0  7  8  9
```

whereas the documentation says:

```
skiprows : list-like or integer
    Line numbers to skip (0-indexed) or number of lines to skip (int)
    at the start of the file
```
