DOC: update the Series.reset_index DocString
Checklist for the pandas documentation sprint (ignore this if you are doing
an unrelated PR):

- [x] PR title is "DOC: update the <your-function-or-method> docstring"
- [x] The validation script passes: `scripts/validate_docstrings.py <your-function-or-method>`
- [x] The PEP8 style check passes: `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] The html version looks good: `python doc/make.py --single <your-function-or-method>`
- [x] It has been proofread on language by another sprint participant

Please include the output of the validation script below between the "```" ticks:

```
# paste output of "scripts/validate_docstrings.py <your-function-or-method>" here
# between the "```" (remove this comment, but keep the "```")

################################################################################
############## Docstring (pandas.core.series.Series.reset_index)  ##############
################################################################################

Reset the index of the Serie.

For a Serie with multi-level index, return a new Serie with labeling
information in the columns under the index names, defaulting to ‘level_0’,
‘level_1’, etc. if any are None. For a standard index,
the index name will be used (if set), otherwise a default
‘index’ or ‘level_0’ (if ‘index’ is already taken) will be used.

Parameters
----------
level : `int`, `str`, `tuple`, or `list`, default `None`
    Only remove the given levels from the index. Removes all levels by
    default.
drop : `boolean`, default `False`
    Do not try to insert index into dataframe columns.
name : `object`, default `None`
    The name of the column corresponding to the Series values.
inplace : `boolean`, default `False`
    Modify the Series in place (do not create a new object).

Returns
----------
resetted : `DataFrame`, or Series if `drop == True`

See Also
--------
:meth:`pandas.DataFrame.reset_index`: Analogous funciton for DataFrame

Examples
--------
>>> s = pd.Series([1, 2, 3, 4], index=pd.Index(['a', 'b', 'c', 'd'],
...                                            name = 'idx'))
>>> s.reset_index()
  idx  0
0   a  1
1   b  2
2   c  3
3   d  4

>>> arrays = [np.array(['bar', 'bar', 'baz', 'baz', 'foo',
...                     'foo', 'qux', 'qux']),
...           np.array(['one', 'two', 'one', 'two', 'one', 'two',
...                     'one', 'two'])]
>>> s2 = pd.Series(
...     range(8),
...     index=pd.MultiIndex.from_arrays(arrays,
...                                     names=['a', 'b']))
>>> s2.reset_index(level='a')
       a  0
b
one  bar  0
two  bar  1
one  baz  2
two  baz  3
one  foo  4
two  foo  5
one  qux  6
two  qux  7

################################################################################
################################## Validation ##################################
################################################################################

Docstring for "pandas.core.series.Series.reset_index" correct. :)
```
