{"action":"created","comment":{"url":"https://api.github.com/repos/pandas-dev/pandas/pulls/comments/235353128","pull_request_review_id":177194430,"id":235353128,"node_id":"MDI0OlB1bGxSZXF1ZXN0UmV2aWV3Q29tbWVudDIzNTM1MzEyOA==","diff_hunk":"@@ -119,45 +125,50 @@ Building Criteria\n \n .. ipython:: python\n \n-   df = pd.DataFrame(\n-        {'AAA' : [4,5,6,7], 'BBB' : [10,20,30,40],'CCC' : [100,50,-30,-50]}); df\n+   df = pd.DataFrame({'AAA': [4, 5, 6, 7], 'BBB': [10, 20, 30, 40],\n+                      'CCC': [100, 50, -30, -50]})\n+   df\n \n ...and (without assignment returns a Series)\n \n .. ipython:: python\n \n-   newseries = df.loc[(df['BBB'] < 25) & (df['CCC'] >= -40), 'AAA']; newseries\n+   newseries = df.loc[(df['BBB'] < 25) & (df['CCC'] >= -40), 'AAA']\n+   newseries\n \n ...or (without assignment returns a Series)\n \n .. ipython:: python\n \n-   newseries = df.loc[(df['BBB'] > 25) | (df['CCC'] >= -40), 'AAA']; newseries\n+   newseries = df.loc[(df['BBB'] > 25) | (df['CCC'] >= -40), 'AAA']\n+   newseries\n \n ...or (with assignment modifies the DataFrame.)\n \n .. ipython:: python\n \n-   df.loc[(df['BBB'] > 25) | (df['CCC'] >= 75), 'AAA'] = 0.1; df\n+   df.loc[(df['BBB'] > 25) | (df['CCC'] >= 75), 'AAA'] = 0.1\n+   df\n \n `Select rows with data closest to certain value using argsort\n <https://stackoverflow.com/questions/17758023/return-rows-in-a-dataframe-closest-to-a-user-defined-number>`__\n \n .. ipython:: python\n \n-   df = pd.DataFrame(\n-        {'AAA' : [4,5,6,7], 'BBB' : [10,20,30,40],'CCC' : [100,50,-30,-50]}); df\n-\n+   df = pd.DataFrame({'AAA': [4, 5, 6, 7], 'BBB': [10, 20, 30, 40],\n+                      'CCC': [100, 50, -30, -50]})\n+   df\n    aValue = 43.0\n-   df.loc[(df.CCC-aValue).abs().argsort()]\n+   df.loc[(df.CCC - aValue).abs().argsort()]\n \n `Dynamically reduce a list of criteria using a binary operators\n <https://stackoverflow.com/questions/21058254/pandas-boolean-operation-in-a-python-list/21058331>`__\n \n .. ipython:: 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