pandas remove rows with missing values code example

Example 1: clean nas from column pandas

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

Example 2: drop missing values in a column pandas

df = df[pd.notnull(df['RespondentID'])]   
# Drop the missing value present in the "RespondentID" column

Example 3: Returns a new DataFrame omitting rows with null values

# Returns a new DataFrame omitting rows with null values

df4.na.drop().show()
# +---+------+-----+
# |age|height| name|
# +---+------+-----+
# | 10|    80|Alice|
# +---+------+-----+