Pandas Notes

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These are the commands I use a lot using Pandas -

Get rows with NaNs in any column

df[df.isna().any(axis=1)]

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Get dataframe excluding all NaNs in a particular Column

df[df['<col_name>'].notnull()]

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Get counts of number of Nulls per column

df.isnull().sum()

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Increase width of columns displayed in Jupyter Notebooks - This is possibly one of my most used commands for every notebook that involves dataframes.

pd.set_option('display.max_colwidth',400)