Remove NaN/NULL columns in a Pandas dataframe?

Question

I have a dataFrame in pandas and several of the columns have all null values. Is there a built in function which will let me remove those columns?

Answer 1

Function for removing all null columns from the data frame:

def Remove_Null_Columns(df):
    dff = pd.DataFrame()
    for cl in fbinst:
        if df[cl].isnull().sum() == len(df[cl]):
            pass
        else:
            dff[cl] = df[cl]
    return dff 

This function will remove all Null columns from the df.