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pandas.Index.drop_duplicates — pandas 3.0.0.dev0+2231.g4f2aa4d2be documentation

Index.drop_duplicates(*, keep='first')[source]#

Return Index with duplicate values removed.

Parameters:

keep{‘first’, ‘last’, False}, default ‘first’

• ‘first’ : Drop duplicates except for the first occurrence.

• ‘last’ : Drop duplicates except for the last occurrence.

• False : Drop all duplicates.

Returns:

Index

A new Index object with the duplicate values removed.

Examples

Generate an pandas.Index with duplicate values.

>>> idx = pd.Index(["llama", "cow", "llama", "beetle", "llama", "hippo"])

The keep parameter controls which duplicate values are removed. The value ‘first’ keeps the first occurrence for each set of duplicated entries. The default value of keep is ‘first’.

>>> idx.drop_duplicates(keep="first")
Index(['llama', 'cow', 'beetle', 'hippo'], dtype='object')

The value ‘last’ keeps the last occurrence for each set of duplicated entries.

>>> idx.drop_duplicates(keep="last")
Index(['cow', 'beetle', 'llama', 'hippo'], dtype='object')

The value False discards all sets of duplicated entries.

>>> idx.drop_duplicates(keep=False)
Index(['cow', 'beetle', 'hippo'], dtype='object')

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