{"action":"created","comment":{"url":"https://api.github.com/repos/pandas-dev/pandas/pulls/comments/173670964","pull_request_review_id":102897519,"id":173670964,"diff_hunk":"@@ -2738,18 +2738,81 @@ def bar(self, x=None, y=None, **kwds):\n \n     def barh(self, x=None, y=None, **kwds):\n         \"\"\"\n-        Horizontal bar plot\n+        Make a horizontal bar plot.\n+\n+        A horizontal bar plot is a plot that presents categorical data with\n+        rectangular bars with lengths proportional to the values that they\n+        represent. A bar plot shows comparisons among discrete categories. One\n+        axis of the plot shows the specific categories being compared, and the\n+        other axis represents a measured value.\n \n         Parameters\n         ----------\n-        x, y : label or position, optional\n-            Coordinates for each point.\n-        `**kwds` : optional\n+        x : label or position, optional\n+            Column to be used for categories.\n+        y : label or position, optional\n+            Columns to be plotted from the DataFrame.\n+        kwds : optional\n             Keyword arguments to pass on to :py:meth:`pandas.DataFrame.plot`.\n \n         Returns\n         -------\n         axes : matplotlib.AxesSubplot or np.array of them\n+\n+        See Also\n+        --------\n+        pandas.DataFrame.plot.bar: Vertical bar plot\n+        pandas.DataFrame.plot : Make plots of DataFrame using matplotlib.\n+        matplotlib.axes.Axes.bar : Plot a vertical bar plot using matplotlib.\n+\n+        Examples\n+        --------\n+        Basic example\n+\n+        .. plot::\n+            :context: close-figs\n+\n+            >>> df = pd.DataFrame({'lab':['A','B','C'], 'val':[10,30,20]})\n+            >>> ax = df.plot.barh(x='lab',y='val')\n+\n+        Plot a whole DataFrame to a horizontal bar plot\n+\n+        .. plot::\n+            :context: close-figs\n+\n+            >>> speed = [0.1, 17.5, 40, 48, 52, 69, 88]\n+            >>> lifespan = [2, 8, 70, 1.5, 25, 12, 28]\n+            >>> index = ['snail', 'pig', 'elephant',\n+            ...          'rabbit', 'giraffe', 'coyote', 'horse']\n+            >>> df = pd.DataFrame({'speed': speed,\n+            ...                    'lifespan': lifespan}, index=index)\n+            >>> ax = df.plot.barh()\n+\n+        Plot a column of the DataFrame to a horizontal bar plot\n+\n+        .. plot::\n+            :context: close-figs\n+\n+            >>> speed = [0.1, 17.5, 40, 48, 52, 69, 88]\n+            >>> lifespan = [2, 8, 70, 1.5, 25, 12, 28]\n+            >>> index = ['snail', 'pig', 'elephant',\n+            ...          'rabbit', 'giraffe', 'coyote', 'horse']\n+            >>> df = pd.DataFrame({'speed': speed,\n+            ...                    'lifespan': lifespan}, index=index)\n+            >>> ax = df.plot.barh(y='speed')\n+\n+        Plot DataFrame versus the desired column","path":"pandas/plotting/_core.py","position":72,"original_position":71,"commit_id":"3c48ca07f1a2491991da8b1f34f2402c1ca1c773","original_commit_id":"d44221429b71b4de684db4de55bcc1828574c56e","user":{"login":"TomAugspurger","id":1312546,"avatar_url":"https://avatars3.githubusercontent.com/u/1312546?v=4","gravatar_id":"","url":"https://api.github.com/users/TomAugspurger","html_url":"https://github.com/TomAugspurger","followers_url":"https://api.github.com/users/TomAugspurger/followers","following_url":"https://api.github.com/users/TomAugspurger/following{/other_user}","gists_url":"https://api.github.com/users/TomAugspurger/gists{/gist_id}","starred_url":"https://api.github.com/users/TomAugspurger/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/TomAugspurger/subscriptions","organizations_url":"https://api.github.com/users/TomAugspurger/orgs","repos_url":"https://api.github.com/users/TomAugspurger/repos","events_url":"https://api.github.com/users/TomAugspurger/events{/privacy}","received_events_url":"https://api.github.com/users/TomAugspurger/received_events","type":"User","site_admin":false},"body":"Not sure what I meant there, sorry :)","created_at":"2018-03-11T21:42:08Z","updated_at":"2018-03-11T21:42:08Z","html_url":"https://github.com/pandas-dev/pandas/pull/20157#discussion_r173670964","pull_request_url":"https://api.github.com/repos/pandas-dev/pandas/pulls/20157","author_association":"CONTRIBUTOR","_links":{"self":{"href":"https://api.github.com/repos/pandas-dev/pandas/pulls/comments/173670964"},"html":{"href":"https://github.com/pandas-dev/pandas/pull/20157#discussion_r173670964"},"pull_request":{"href":"https://api.github.com/repos/pandas-dev/pandas/pulls/20157"}},"in_reply_to_id":173624206},"pull_request":{"url":"https://api.github.com/repos/pandas-dev/pandas/pulls/20157","id":174172768,"html_url":"https://github.com/pandas-dev/pandas/pull/20157","diff_url":"https://github.com/pandas-dev/pandas/pull/20157.diff","patch_url":"https://github.com/pandas-dev/pandas/pull/20157.patch","issue_url":"https://api.github.com/repos/pandas-dev/pandas/issues/20157","number":20157,"state":"open","locked":false,"title":"DOC: Improved the docstring of pandas.plotting._core.FramePlotMethods…","user":{"login":"delkk0","id":27004173,"avatar_url":"https://avatars2.githubusercontent.com/u/27004173?v=4","gravatar_id":"","url":"https://api.github.com/users/delkk0","html_url":"https://github.com/delkk0","followers_url":"https://api.github.com/users/delkk0/followers","following_url":"https://api.github.com/users/delkk0/following{/other_user}","gists_url":"https://api.github.com/users/delkk0/gists{/gist_id}","starred_url":"https://api.github.com/users/delkk0/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/delkk0/subscriptions","organizations_url":"https://api.github.com/users/delkk0/orgs","repos_url":"https://api.github.com/users/delkk0/repos","events_url":"https://api.github.com/users/delkk0/events{/privacy}","received_events_url":"https://api.github.com/users/delkk0/received_events","type":"User","site_admin":false},"body":"….barh()\r\n\r\n- Added examples section\r\n- Added extended summary\r\n- Added argument explanation\r\n\r\nChecklist for the pandas documentation sprint (ignore this if you are doing\r\nan unrelated PR):\r\n\r\n- [ X] PR title is \"DOC: update the <your-function-or-method> docstring\"\r\n- [ X] The validation script passes: `scripts/validate_docstrings.py <your-function-or-method>`\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 <your-function-or-method>`\r\n- [X ] It has been proofread on language by another sprint participant\r\n\r\nPlease include the output of the validation script below between the \"```\" ticks:\r\n\r\n```\r\n################################################################################\r\n########### Docstring (pandas.plotting._core.FramePlotMethods.barh)  ###########\r\n################################################################################\r\n\r\nMake a horizontal bar plot.\r\n\r\nA horizontal bar plot is a plot that presents categorical data with\r\nrectangular bars with lengths proportional to the values that they\r\nrepresent. A bar plot shows comparisons among discrete categories. One\r\naxis of the plot shows the specific categories being compared, and the\r\nother axis represents a measured value.\r\n\r\nParameters\r\n----------\r\nx : label or position, optional\r\n    Column to be used for categories.\r\ny : label or position, optional\r\n    Columns to be plotted from the DataFrame.\r\nkwds : optional\r\n    Keyword arguments to pass on to :py:meth:`pandas.DataFrame.plot`.\r\n\r\nReturns\r\n-------\r\naxes : matplotlib.AxesSubplot or np.array of them\r\n\r\nSee Also\r\n--------\r\npandas.DataFrame.plot.bar: Vertical bar plot\r\npandas.DataFrame.plot : Make plots of DataFrame using matplotlib.\r\nmatplotlib.axes.Axes.bar : Plot a vertical bar plot using matplotlib.\r\n\r\nExamples\r\n--------\r\nBasic example\r\n\r\n.. plot::\r\n    :context: close-figs\r\n\r\n    >>> df = pd.DataFrame({'lab':['A','B','C'], 'val':[10,30,20]})\r\n    >>> ax = df.plot.barh(x='lab',y='val')\r\n\r\nPlot a whole DataFrame to a horizontal bar plot\r\n\r\n.. plot::\r\n    :context: close-figs\r\n\r\n    >>> speed = [0.1, 17.5, 40, 48, 52, 69, 88]\r\n    >>> lifespan = [2, 8, 70, 1.5, 25, 12, 28]\r\n    >>> index = ['snail', 'pig', 'elephant',\r\n    ...          'rabbit', 'giraffe', 'coyote', 'horse']\r\n    >>> df = pd.DataFrame({'speed': speed,\r\n    ...                    'lifespan': lifespan}, index=index)\r\n    >>> ax = df.plot.barh()\r\n\r\nPlot a column of the DataFrame to a horizontal bar plot\r\n\r\n.. plot::\r\n    :context: close-figs\r\n\r\n    >>> speed = [0.1, 17.5, 40, 48, 52, 69, 88]\r\n    >>> lifespan = [2, 8, 70, 1.5, 25, 12, 28]\r\n    >>> index = ['snail', 'pig', 'elephant',\r\n    ...          'rabbit', 'giraffe', 'coyote', 'horse']\r\n    >>> df = pd.DataFrame({'speed': speed,\r\n    ...                    'lifespan': lifespan}, index=index)\r\n    >>> ax = df.plot.barh(y='speed')\r\n\r\nPlot DataFrame versus the desired column\r\n\r\n.. plot::\r\n    :context: close-figs\r\n\r\n    >>> speed = [0.1, 17.5, 40, 48, 52, 69, 88]\r\n    >>> lifespan = [2, 8, 70, 1.5, 25, 12, 28]\r\n    >>> index = ['snail', 'pig', 'elephant',\r\n    ...          'rabbit', 'giraffe', 'coyote', 'horse']\r\n    >>> df = pd.DataFrame({'speed': speed,\r\n    ...                    'lifespan': lifespan}, index=index)\r\n    >>> ax = df.plot.barh(x='lifespan')\r\n\r\n################################################################################\r\n################################## Validation ##################################\r\n################################################################################\r\n\r\nDocstring for \"pandas.plotting._core.FramePlotMethods.barh\" correct. :)\r\n\r\n```\r\n\r\nIf the validation script still gives errors, but you think there is a good reason\r\nto deviate in this case (and there are certainly such cases), please state this\r\nexplicitly.\r\n\r\n\r\nChecklist for other PRs (remove this part if you are doing a PR for the pandas documentation sprint):\r\n\r\n- [ ] closes #xxxx\r\n- [ ] tests added / passed\r\n- [ ] passes `git diff upstream/master -u -- \"*.py\" | flake8 --diff`\r\n- [ ] whatsnew 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