Random_useful_pandas_functions.py

def get_percent_empty(df):
    listing = list(df.isnull().sum()/df.shape[0] != 0)
    columns_of_interest = []
    cols = df.columns.tolist()
    for index, col in enumerate(cols):
        if listing[index]:
            columns_of_interest.append(col)
    return df[columns_of_interest].isnull().sum()/df.shape[0]