drop rows with any missing value
df.dropna(axis=0, how='any', inplace=True)drop rows with any missing value
df.dropna(axis=0, how='any', inplace=True)drop missing values in a column pandas
df = df[pd.notnull(df['RespondentID'])]
# Drop the missing value present in the "RespondentID" columnclean nas from column pandas
>>> df.dropna()
name toy born
1 Batman Batmobile 1940-04-25Returns 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|
# +---+------+-----+Copyright © 2021 Codeinu
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