ignore nan pandas code example

Example 1: pandas filter non nan

filtered_df = df[df['name'].notnull()]

Example 2: remove rows or columns with NaN value

df.dropna()     #drop all rows that have any NaN values
df.dropna(how='all')

Example 3: clean nas from column pandas

>>> df.dropna()
     name        toy       born
1  Batman  Batmobile 1940-04-25

Example 4: 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)