Answers for "count number of missing values in each column and print only which have null values"

count missing values by column in pandas

df.isna().sum()

Posted by: Guest on October-07-2020

number of columns with no missing values

null_cols = df.columns[df.isnull().all()]
df.drop(null_cols, axis = 1, inplace = True)

Posted by: Guest on April-15-2020

Code answers related to "count number of missing values in each column and print only which have null values"