df.dropna(subset=['name', 'born'])
df.dropna()
>>> df.dropna(axis='columns') name 0 Alfred 1 Batman 2 Catwoman
df[~np.isnan(df)]
>>> df.dropna(subset=['name', 'born']) name toy born 1 Batman Batmobile 1940-04-25
>>> df = pd.DataFrame({"name": ['Alfred', 'Batman', 'Catwoman'], ... "toy": [np.nan, 'Batmobile', 'Bullwhip'], ... "born": [pd.NaT, pd.Timestamp("1940-04-25"), ... pd.NaT]}) >>> df name toy born 0 Alfred NaN NaT 1 Batman Batmobile 1940-04-25 2 Catwoman Bullwhip NaT
DataFrameName.dropna(axis=0, how='any', thresh=None, subset=None, inplace=False)