unhelpful error message when header is a list of names in read_csv
This is a minor issue about error reporting to the mindless user (me...) who confuses the `header` and the `name` argument of `read_csv`. Basically, when calling `read_csv` with `header=['a', 'b']` (whereas it should be `names=['a', 'b']`), the error message is crytic:

> TypeError: must be str, not int

(pandas 0.20.1, see details below)

Two issues:
* **unhelpful**, quite cryptic message, doesn't point in the good direction. E.g. it doesn't explain *which* argument causes the problem. Of course in the dummy example below, there is just one argument, but in the real case where I got bitten it was messier...
* it is **impossible** to debug with %debug magic, because error is raised in the compiled code `parsers.pyx`

Here is code to reproduce the error message, taken from a IPython session. (First line may be a bit Unix specific, sorry. It's just to create a dummy CSV file)
```
In [] !echo '1,2\n3,4' > 1234.csv

In [] pd.read_csv('1234.csv')
	1 	2
0 	3 	4

In [] pd.read_csv('1234.csv', names=['a', 'b']) # proper call
 	a 	b
0 	1 	2
1 	3 	4

In [] pd.read_csv('1234.csv', header=['a', 'b']) # beginer's mistake

TypeError                                 Traceback (most recent call last)
<ipython-input-5-b065bd1f57c6> in <module>()
----> 1 pd.read_csv('1234.csv', header=['a', 'b'])

/home/pierre/Programmes/anaconda3/lib/python3.6/site-packages/pandas/io/parsers.py in parser_f(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, escapechar, comment, encoding, dialect, tupleize_cols, error_bad_lines, warn_bad_lines, skipfooter, skip_footer, doublequote, delim_whitespace, as_recarray, compact_ints, use_unsigned, low_memory, buffer_lines, memory_map, float_precision)
    653                     skip_blank_lines=skip_blank_lines)
    654 
--> 655         return _read(filepath_or_buffer, kwds)
    656 
    657     parser_f.__name__ = name

/home/pierre/Programmes/anaconda3/lib/python3.6/site-packages/pandas/io/parsers.py in _read(filepath_or_buffer, kwds)
    403 
    404     # Create the parser.
--> 405     parser = TextFileReader(filepath_or_buffer, **kwds)
    406 
    407     if chunksize or iterator:

/home/pierre/Programmes/anaconda3/lib/python3.6/site-packages/pandas/io/parsers.py in __init__(self, f, engine, **kwds)
    760             self.options['has_index_names'] = kwds['has_index_names']
    761 
--> 762         self._make_engine(self.engine)
    763 
    764     def close(self):

/home/pierre/Programmes/anaconda3/lib/python3.6/site-packages/pandas/io/parsers.py in _make_engine(self, engine)
    964     def _make_engine(self, engine='c'):
    965         if engine == 'c':
--> 966             self._engine = CParserWrapper(self.f, **self.options)
    967         else:
    968             if engine == 'python':

/home/pierre/Programmes/anaconda3/lib/python3.6/site-packages/pandas/io/parsers.py in __init__(self, src, **kwds)
   1580         kwds['allow_leading_cols'] = self.index_col is not False
   1581 
-> 1582         self._reader = parsers.TextReader(src, **kwds)
   1583 
   1584         # XXX

pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader.__cinit__ (pandas/_libs/parsers.c:5996)()

TypeError: must be str, not int

```
#### Expected Output

I'm not expecting a fancy AI-assistant like error message. However, an early check of the header argument should verify, in coherence with the docstring, that `header` should be `int or list of ints`.

What do you think? Is it an overkill?

#### Output of ``pd.show_versions()``

<details>
INSTALLED VERSIONS
------------------
commit: None
python: 3.6.1.final.0
python-bits: 64
OS: Linux
OS-release: 4.9.0-2-amd64
machine: x86_64
processor: 
byteorder: little
LC_ALL: None
LANG: fr_FR.utf8
LOCALE: fr_FR.UTF-8

pandas: 0.20.1
pytest: 3.0.5
pip: 9.0.1
setuptools: 27.2.0
Cython: 0.25.2
numpy: 1.12.1
scipy: 0.19.0
xarray: None
IPython: 6.0.0
sphinx: 1.5.1
patsy: 0.4.1
dateutil: 2.6.0
pytz: 2016.10
blosc: None
bottleneck: 1.2.0
tables: 3.3.0
numexpr: 2.6.2
feather: None
matplotlib: 2.0.2
openpyxl: 2.4.1
xlrd: 1.0.0
xlwt: 1.2.0
xlsxwriter: 0.9.6
lxml: 3.7.2
bs4: 4.5.3
html5lib: None
sqlalchemy: 1.1.5
pymysql: None
psycopg2: None
jinja2: 2.9.4
s3fs: None
pandas_gbq: None
pandas_datareader: None
</details>
