drop rows which have incomplete data in csv file jupyter code example

Example 1: how to check missing values in python

# Total missing values for each featureprint df.isnull().sum()Out:ST_NUM          2ST_NAME         0OWN_OCCUPIED    2NUM_BEDROOMS    4

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)