Pandas Notes
These are the commands I use a lot using Pandas - Get rows with NaNs in any column df[df.isna().any(axis=1)] Get dataframe excluding all NaNs in a particular Column df[df['<col_name>'].notnull()] Get counts of number of Nulls per column df.isnull().sum() 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)