showing only the missing values in python code example

Example 1: how to find rows with missing data in pandas

null_data = df[df.isnull().any(axis=1)]

Example 2: handling missing dvalues denoted by a '?' in pandas

# Making a list of missing value typesmissing_values = ["n/a", "na", "--"]df = pd.read_csv("property data.csv", na_values = missing_values)