{"action":"created","comment":{"url":"https://api.github.com/repos/pandas-dev/pandas/pulls/comments/175290089","pull_request_review_id":104798130,"id":175290089,"diff_hunk":"@@ -2078,27 +2067,27 @@ def plot_series(data, kind='line', ax=None,                    # Series unique\n         :context: close-figs\n \n         >>> np.random.seed(1234)\n-        >>> df = pd.DataFrame(np.random.rand(10,4),\n+        >>> df = pd.DataFrame(np.random.randn(10,4),","path":"pandas/plotting/_core.py","position":null,"original_position":76,"commit_id":"11105ac5f75ec32e3919e4d6878d7db18ed62c3e","original_commit_id":"11105ac5f75ec32e3919e4d6878d7db18ed62c3e","user":{"login":"dukebody","id":41953,"avatar_url":"https://avatars0.githubusercontent.com/u/41953?v=4","gravatar_id":"","url":"https://api.github.com/users/dukebody","html_url":"https://github.com/dukebody","followers_url":"https://api.github.com/users/dukebody/followers","following_url":"https://api.github.com/users/dukebody/following{/other_user}","gists_url":"https://api.github.com/users/dukebody/gists{/gist_id}","starred_url":"https://api.github.com/users/dukebody/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/dukebody/subscriptions","organizations_url":"https://api.github.com/users/dukebody/orgs","repos_url":"https://api.github.com/users/dukebody/repos","events_url":"https://api.github.com/users/dukebody/events{/privacy}","received_events_url":"https://api.github.com/users/dukebody/received_events","type":"User","site_admin":false},"body":"flake8 will demand a space after the comma, so `np.random.randn(10, 4)`","created_at":"2018-03-18T13:55:41Z","updated_at":"2018-03-18T13:55:41Z","html_url":"https://github.com/pandas-dev/pandas/pull/20152#discussion_r175290089","pull_request_url":"https://api.github.com/repos/pandas-dev/pandas/pulls/20152","author_association":"CONTRIBUTOR","_links":{"self":{"href":"https://api.github.com/repos/pandas-dev/pandas/pulls/comments/175290089"},"html":{"href":"https://github.com/pandas-dev/pandas/pull/20152#discussion_r175290089"},"pull_request":{"href":"https://api.github.com/repos/pandas-dev/pandas/pulls/20152"}}},"pull_request":{"url":"https://api.github.com/repos/pandas-dev/pandas/pulls/20152","id":174172490,"html_url":"https://github.com/pandas-dev/pandas/pull/20152","diff_url":"https://github.com/pandas-dev/pandas/pull/20152.diff","patch_url":"https://github.com/pandas-dev/pandas/pull/20152.patch","issue_url":"https://api.github.com/repos/pandas-dev/pandas/issues/20152","number":20152,"state":"open","locked":false,"title":"DOC: update pandas.DataFrame.boxplot docstring. Fixes #8847 ","user":{"login":"mabelvj","id":15342068,"avatar_url":"https://avatars3.githubusercontent.com/u/15342068?v=4","gravatar_id":"","url":"https://api.github.com/users/mabelvj","html_url":"https://github.com/mabelvj","followers_url":"https://api.github.com/users/mabelvj/followers","following_url":"https://api.github.com/users/mabelvj/following{/other_user}","gists_url":"https://api.github.com/users/mabelvj/gists{/gist_id}","starred_url":"https://api.github.com/users/mabelvj/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/mabelvj/subscriptions","organizations_url":"https://api.github.com/users/mabelvj/orgs","repos_url":"https://api.github.com/users/mabelvj/repos","events_url":"https://api.github.com/users/mabelvj/events{/privacy}","received_events_url":"https://api.github.com/users/mabelvj/received_events","type":"User","site_admin":false},"body":"- [x] PR title is \"DOC: update the <your-function-or-method> docstring\"\r\n- [x] The validation script passes: `scripts/validate_docstrings.py pandas.DataFrame.boxplot`\r\n- [x] The PEP8 style check passes: `git diff upstream/master -u -- \"*.py\" | flake8 --diff`\r\n- [x] The html version looks good: `python doc/make.py --single pandas.DataFrame.boxplot`\r\n- [x] It has been proofread on language by another sprint participant\r\n\r\n\r\n```\r\n################################################################################\r\n##################### Docstring (pandas.DataFrame.boxplot) #####################\r\n################################################################################\r\n\r\nMake a box plot from DataFrame columns.\r\n\r\nMake a box-and-whisker plot from DataFrame columns optionally grouped\r\nby some other columns. A box plot is a method for graphically depicting\r\ngroups of numerical data through their quartiles.\r\nThe box extends from the Q1 to Q3 quartile values of the data,\r\nwith a line at the median (Q2).The whiskers extend from the edges\r\nof box to show the range of the data. The position of the whiskers\r\nis set by default to 1.5*IQR (IQR = Q3 - Q1) from the edges of the box.\r\nOutlier points are those past the end of the whiskers.\r\n\r\nFor further details see\r\nWikipedia's entry for `boxplot <https://en.wikipedia.org/wiki/Box_plot>`_.\r\n\r\nParameters\r\n----------\r\ncolumn : str or list of str, optional\r\n    Column name or list of names, or vector.\r\n    Can be any valid input to groupby.\r\nby : str or array-like\r\n    Column in the DataFrame to groupby.\r\nax : object of class matplotlib.axes.Axes, default `None`\r\n    The matplotlib axes to be used by boxplot.\r\nfontsize : float or str\r\n    Tick label font size in points or as a string (e.g., ‘large’)\r\n    (see `matplotlib.axes.Axes.tick_params\r\n    <https://matplotlib.org/api/_as_gen/\r\n    matplotlib.axes.Axes.tick_params.html>`_).\r\nrot : int or float, default 0\r\n    The rotation angle of labels (in degrees)\r\n    with respect to the screen coordinate sytem.\r\ngrid : boolean, default `True`\r\n    Setting this to True will show the grid.\r\nfigsize : A tuple (width, height) in inches\r\n    The size of the figure to create in matplotlib.\r\nlayout : tuple (rows, columns) (optional)\r\n    For example, (3, 5) will display the subplots\r\n    using 3 columns and 5 rows, starting from the top-left.\r\nreturn_type : {None, 'axes', 'dict', 'both'}, default 'axes'\r\n    The kind of object to return. The default is ``axes``.\r\n\r\n    * 'axes' returns the matplotlib axes the boxplot is drawn on.\r\n    * 'dict' returns a dictionary whose values are the matplotlib\r\n      Lines of the boxplot.\r\n    * 'both' returns a namedtuple with the axes and dict.\r\n    * when grouping with ``by``, a Series mapping columns to\r\n      ``return_type`` is returned (i.e.\r\n      ``df.boxplot(column=['Col1','Col2'], by='var',return_type='axes')``\r\n      may return ``Series([AxesSubplot(..),AxesSubplot(..)],\r\n      index=['Col1','Col2'])``).\r\n\r\n      If ``return_type`` is `None`, a NumPy array\r\n      of axes with the same shape as ``layout`` is returned\r\n      (i.e. ``df.boxplot(column=['Col1','Col2'],\r\n      by='var',return_type=None)`` may return a\r\n      ``array([<matplotlib.axes._subplots.AxesSubplot object at ..>,\r\n      <matplotlib.axes._subplots.AxesSubplot object at ..>],\r\n      dtype=object)``).\r\n**kwds : Keyword Arguments (optional)\r\n    All other plotting keyword arguments to be passed to\r\n    `matplotlib.pyplot.boxplot <https://matplotlib.org/api/_as_gen/\r\n    matplotlib.pyplot.boxplot.html#matplotlib.pyplot.boxplot>`_.\r\n\r\nReturns\r\n-------\r\nresult:\r\n    Options:\r\n\r\n    * ax : object of class\r\n      matplotlib.axes.Axes (for ``return_type='axes'``)\r\n    * lines : dict (for ``return_type='dict'``)\r\n    * (ax, lines): namedtuple (for ``return_type='both'``)\r\n    * :class:`~pandas.Series` (for ``return_type != None``\r\n      and data grouped with ``by``)\r\n    * :class:`~numpy.array` (for ``return_type=None``\r\n      and data grouped with ``by``)\r\n\r\nSee Also\r\n--------\r\nmatplotlib.pyplot.boxplot: Make a box and whisker plot.\r\nmatplotlib.pyplot.hist: Make a hsitogram.\r\n\r\nNotes\r\n-----\r\nUse ``return_type='dict'`` when you want to tweak the appearance\r\nof the lines after plotting. In this case a dict containing the Lines\r\nmaking up the boxes, caps, fliers, medians, and whiskers is returned.\r\n\r\nExamples\r\n--------\r\n\r\nBoxplots can be created for every column in the dataframe\r\nby ``df.boxplot()`` or indicating the columns to be used:\r\n\r\n.. plot::\r\n    :context: close-figs\r\n\r\n    >>> np.random.seed(1234)\r\n    >>> df = pd.DataFrame(np.random.rand(10,4),\r\n    ...                   columns=['Col1', 'Col2', 'Col3', 'Col4'])\r\n    >>> boxplot = df.boxplot(column=['Col1', 'Col2', 'Col3'])\r\n\r\nBoxplots of variables distributions grouped by a third variable values\r\ncan be created using the option ``by``. For instance:\r\n\r\n.. plot::\r\n    :context: close-figs\r\n\r\n    >>> df = pd.DataFrame(np.random.rand(10,2), columns=['Col1', 'Col2'] )\r\n    >>> df['X'] = pd.Series(['A','A','A','A','A','B','B','B','B','B'])\r\n    >>> boxplot = df.boxplot(by='X')\r\n\r\nA list of strings (i.e. ``['X','Y']``) containing can be passed to boxplot\r\nin order to group the data by combination of the variables in the x-axis:\r\n\r\n.. plot::\r\n    :context: close-figs\r\n\r\n    >>> df = pd.DataFrame(np.random.rand(10,3),\r\n    ...                   columns=['Col1', 'Col2', 'Col3'])\r\n    >>> df['X'] = pd.Series(['A','A','A','A','A','B','B','B','B','B'])\r\n    >>> df['Y'] = pd.Series(['A','B','A','B','A','B','A','B','A','B'])\r\n    >>> boxplot = df.boxplot(column=['Col1','Col2'], by=['X','Y'])\r\n\r\nThe layout of boxplot can be adjusted giving a tuple to ``layout``:\r\n\r\n.. plot::\r\n    :context: close-figs\r\n\r\n    >>> df = pd.DataFrame(np.random.rand(10,2), columns=['Col1', 'Col2'])\r\n    >>> df['X'] = pd.Series(['A','A','A','A','A','B','B','B','B','B'])\r\n    >>> boxplot = df.boxplot(by='X', layout=(2,1))\r\n\r\nAdditional formatting can be done to the boxplot, like suppressing the grid\r\n(``grid=False``), rotating the labels in the x-axis (i.e. ``rot=45``)\r\nor changing the fontsize (i.e. ``fontsize=15``):\r\n\r\n.. plot::\r\n    :context: close-figs\r\n\r\n    >>> boxplot = df.boxplot(grid=False, rot=45, fontsize=15)\r\n\r\n################################################################################\r\n################################## Validation ##################################\r\n################################################################################\r\n\r\nErrors found:\r\n\tErrors in parameters section\r\n\t\tParameters {'kwds'} not documented\r\n\t\tUnknown parameters {'**kwds'}\r\n```\r\n<img width=\"507\" alt=\"captura de pantalla 2018-03-12 a las 0 51 51\" src=\"https://user-images.githubusercontent.com/15342068/37260125-ab870588-258f-11e8-837d-80497fb392eb.png\">\r\n<img width=\"496\" alt=\"captura de pantalla 2018-03-12 a las 0 52 04\" src=\"https://user-images.githubusercontent.com/15342068/37260124-ab4d8d3a-258f-11e8-9dd9-9c5c7dca16cf.png\">\r\n<img width=\"492\" alt=\"captura de pantalla 2018-03-12 a las 0 52 12\" src=\"https://user-images.githubusercontent.com/15342068/37260123-ab316ed4-258f-11e8-863a-2c9e8fe1e67d.png\">\r\n<img width=\"494\" alt=\"captura de pantalla 2018-03-12 a las 0 52 18\" src=\"https://user-images.githubusercontent.com/15342068/37260122-ab1480e4-258f-11e8-9b2b-debe1c7355da.png\">\r\n\r\n@EliosMolina","created_at":"2018-03-10T14:26:46Z","updated_at":"2018-03-18T13:55:41Z","closed_at":null,"merged_at":null,"merge_commit_sha":"b8d4fb05d3b080eda2405b3a1ec75e0e6a2dd667","assignee":null,"assignees":[],"requested_reviewers":[],"requested_teams":[],"labels":[{"id":134699,"url":"https://api.github.com/repos/pandas-dev/pandas/labels/Docs","name":"Docs","color":"3465A4","default":false}],"milestone":null,"commits_url":"https://api.github.com/repos/pandas-dev/pandas/pulls/20152/commits","review_comments_url":"https://api.github.com/repos/pandas-dev/pandas/pulls/20152/comments","review_comment_url":"https://api.github.com/repos/pandas-dev/pandas/pulls/comments{/number}","comments_url":"https://api.github.com/repos/pandas-dev/pandas/issues/20152/comments","statuses_url":"https://api.github.com/repos/pandas-dev/pandas/statuses/11105ac5f75ec32e3919e4d6878d7db18ed62c3e","head":{"label":"mabelvj:DOC_Fixes_issue_8847_boxplot_docs","ref":"DOC_Fixes_issue_8847_boxplot_docs","sha":"11105ac5f75ec32e3919e4d6878d7db18ed62c3e","user":{"login":"mabelvj","id":15342068,"avatar_url":"https://avatars3.githubusercontent.com/u/15342068?v=4","gravatar_id":"","url":"https://api.github.com/users/mabelvj","html_url":"https://github.com/mabelvj","followers_url":"https://api.github.com/users/mabelvj/followers","following_url":"https://api.github.com/users/mabelvj/following{/other_user}","gists_url":"https://api.github.com/users/mabelvj/gists{/gist_id}","starred_url":"https://api.github.com/users/mabelvj/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/mabelvj/subscriptions","organizations_url":"https://api.github.com/users/mabelvj/orgs","repos_url":"https://api.github.com/users/mabelvj/repos","events_url":"https://api.github.com/users/mabelvj/events{/privacy}","received_events_url":"https://api.github.com/users/mabelvj/received_events","type":"User","site_admin":false},"repo":{"id":124640841,"name":"pandas","full_name":"mabelvj/pandas","owner":{"login":"mabelvj","id":15342068,"avatar_url":"https://avatars3.githubusercontent.com/u/15342068?v=4","gravatar_id":"","url":"https://api.github.com/users/mabelvj","html_url":"https://github.com/mabelvj","followers_url":"https://api.github.com/users/mabelvj/followers","following_url":"https://api.github.com/users/mabelvj/following{/other_user}","gists_url":"https://api.github.com/users/mabelvj/gists{/gist_id}","starred_url":"https://api.github.com/users/mabelvj/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/mabelvj/subscriptions","organizations_url":"https://api.github.com/users/mabelvj/orgs","repos_url":"https://api.github.com/users/mabelvj/repos","events_url":"https://api.github.com/users/mabelvj/events{/privacy}","received_events_url":"https://api.github.com/users/mabelvj/received_events","type":"User","site_admin":false},"private":false,"html_url":"https://github.com/mabelvj/pandas","description":"Flexible 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