Drop duplicate index pandas

df3 = df3[~df3.index.duplicated(keep='first')]

Source: stackoverflow.com

Pandas remove repeated index

df[~df.index.duplicated()]

Source: stackoverflow.com

Pandas remove repeated index

idx = pd.Index(['lama', 'cow', 'lama', 'beetle', 'lama', 'hippo'])
idx.drop_duplicates(keep='first')
Index(['lama', 'cow', 'beetle', 'hippo'], dtype='object')
idx.drop_duplicates(keep='last')
Index(['cow', 'beetle','lamb', 'hippo'], dtype='object')
idx.drop_duplicates(keep='False')
Index(['cow', 'beetle','hippo'], dtype='object')

Source: pandas.pydata.org

Pandas drop duplicates

df = df.drop_duplicates(subset = ["b"])

-1

Source: kite.com

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