DOC: Improved the docstring of pandas.Series.filter

[ottiP]

Checklist for the pandas documentation sprint (ignore this if you are doing
an unrelated PR):

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

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

################################################################################
####################### Docstring (pandas.Series.filter) #######################
################################################################################

Subset rows or columns of dataframe according to labels in
the specified index.

Note that this routine does not filter a dataframe on its
contents. The filter is applied to the labels of the index.

Parameters
----------
items : list-like
    List of info axis to restrict to (must not all be present).
like : string
    Keep info axis where "arg in col == True".
regex : string (regular expression)
    Keep info axis with re.search(regex, col) == True.
axis : int or string axis name
    The axis to filter on.  By default this is the info axis,
    'index' for Series, 'columns' for DataFrame.

Returns
-------
same type as input object

Examples
--------
>>> df = pd.DataFrame(np.array(([1,2,3],[4,5,6])),
...                   index=['mouse', 'rabbit'],
...                   columns=['one', 'two', 'three'])

>>> # select columns by name
>>> df.filter(items=['one', 'three'])
         one  three
mouse     1      3
rabbit    4      6

>>> # select columns by regular expression
>>> df.filter(regex='e$', axis=1)
         one  three
mouse     1      3
rabbit    4      6

>>> # select rows containing 'bbi'
>>> df.filter(like='bbi', axis=0)
         one  two  three
rabbit    4    5      6

See Also
--------
pandas.DataFrame.loc : Purely label-location based indexer for selection by label.

Notes
-----
The ``items``, ``like``, and ``regex`` parameters are
enforced to be mutually exclusive.

``axis`` defaults to the info axis that is used when indexing
with ``[]``.

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

Docstring for "pandas.Series.filter" correct. :)

If the validation script still gives errors, but you think there is a good reason
to deviate in this case (and there are certainly such cases), please state this
explicitly.

Checklist for other PRs (remove this part if you are doing a PR for the pandas documentation sprint):

[pep8speaks]

Hello @ottiP! Thanks for updating the PR.

Cheers ! There are no PEP8 issues in this Pull Request. 🍻

Comment last updated on July 07, 2018 at 14:47 Hours UTC

[TomAugspurger]

Hmm I don't think info axis is well known. How about "List of labels from axis to restrict to."

[TomAugspurger]

And maybe replace all other "info axis" with `axis`

[TomAugspurger]

PEP8: spaces after comma

[TomAugspurger]

Maybe too long. Just "label-based indexer."

[TomAugspurger]

Is this from a different PR?

[codecov]

Codecov Report

❗ No coverage uploaded for pull request base (master@dcbf8b5). Click here to learn what that means.
The diff coverage is n/a.

@@            Coverage Diff            @@
##             master   #20148   +/-   ##
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  Coverage          ?   91.95%           
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  Files             ?      160           
  Lines             ?    49817           
  Branches          ?        0           
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  Misses            ?     4007           
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Flag	Coverage Δ
#multiple	90.33% <ø> (?)
#single	42.08% <ø> (?)

Impacted Files	Coverage Δ
pandas/core/generic.py	96.45% <ø> (ø)

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[jreback]

@datapythonista if you want to merge this on green.

[jreback]

thanks @ottiP !