>>> df.dropna(axis='columns') name 0 Alfred 1 Batman 2 Catwoman
>>> df.dropna(subset=['name', 'born']) name toy born 1 Batman Batmobile 1940-04-25
df.drop(df.index[2])
# Returns a new DataFrame omitting rows with null values df4.na.drop().show() # +---+------+-----+ # |age|height| name| # +---+------+-----+ # | 10| 80|Alice| # +---+------+-----+
>>>df = pd.DataFrame({"name": ['Alfred', 'Batman', 'Catwoman'], "toy": [np.nan, 'Batmobile', 'Bullwhip'], "born": [pd.NaT, pd.Timestamp("1940-04-25"), pd.NaT]}) df.dropna(thresh=2) name toy born 1 Batman Batmobile 1940-04-25 2 Catwoman Bullwhip NaT