Answers for "create a dataframe with column name and missing values"

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

check for missing values by column in pandas

df.isna().any()

Posted by: Guest on October-07-2020

number of columns with no missing values

df = df[df.columns[~df.isnull().all()]]

Posted by: Guest on April-02-2020

Code answers related to "create a dataframe with column name and missing values"