pandas read_csv no longer supports file-like objects from tarfile (pandas 0.20.1)
#### Code Sample, a copy-pastable example if possible

```python
import pandas as pd
import tarfile

tar = tarfile.open(name="xxx.tar.bz2", mode='r')
myfile = tar.extractfile('yyy.csv') # file-like object with a read() method
data = pd.read_csv(myfile, sep=r'\s+')
```
This code generates this error:
```
  File "/usr/local/lib/python2.7/dist-packages/pandas/io/parsers.py", line 655, in parser_f
    return _read(filepath_or_buffer, kwds)
  File "/usr/local/lib/python2.7/dist-packages/pandas/io/parsers.py", line 392, in _read
    filepath_or_buffer, encoding, compression)
  File "/usr/local/lib/python2.7/dist-packages/pandas/io/common.py", line 210, in get_filepath_or_buffer
    raise ValueError(msg.format(_type=type(filepath_or_buffer)))
ValueError: Invalid file path or buffer object type: <class 'tarfile.ExFileObject'>
```

#### Problem description

This code works with pandas 0.19.2 but fails with 0.20.1.

According to pandas doc for read_csv:

> filepath_or_buffer : str, pathlib.Path, py._path.local.LocalPath or any object with a read() method (such as a file handle or StringIO)

I guess the new validations are too restrictive ?