why we cant say df['Total Sales ].is null( ) to get boolean values of the missing values of the rows of the column Total Sales then use .sum( ) to get the total count of the boolean value instead of using pd.to_numeric (df['Total Charges ,errors='coerce').isna( )? It gives the same answer Continue reading...
