Delete Columns with Missing Values
A step-by-step guide to scanning through your dataframe for columns with missing values, and deleting them.
Last updated
A step-by-step guide to scanning through your dataframe for columns with missing values, and deleting them.
Last updated
© Mito
Open the column control panel:
Switch to the Summary Stats tab:
Scroll down to check if the column contains NaN values
Click the Delete Column button to delete the column if it contains NaN values
The next column will be selected, and the summary stats will be open. Just scroll down and repeat this process to keep checking column headers for NaN values.
