how to deal with NaN in pandas code example

Example 1: missing values in a dataset python

df.isnull().sum()

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)