Answers for "Remove all the rows in the dataset 'marks' having 5 missing values and then print the number of missing values in each column."

drop rows with any missing value

df.dropna(axis=0, how='any', inplace=True)

Posted by: Guest on May-20-2021

pandas drop missing values for any column

# Drop rows which contain any NaN value in the selected columns
mod_df = df.dropna( how='any',
                    subset=['Name', 'Age'])

Posted by: Guest on June-11-2021

Code answers related to "Remove all the rows in the dataset 'marks' having 5 missing values and then print the number of missing values in each column."