>>> 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
# importing pandas as pd import pandas as pd # Creating the Index idx = pd.Index(['Jan', 'Feb', 'Mar', None, 'May', 'Jun', None, 'Aug', 'Sep', 'Oct', 'Nov', 'Dec']) # Print the Index idx
>>>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
>>> 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)