MulSeries.drop_duplicates#

MulSeries.drop_duplicates(keep='first', inplace=False)#

Return MulSeries with duplicate values removed.

It is similar to Series.drop_duplciates except it returns a MulSeries with the index dataframe properly sliced.

Parameters#

keep{‘first’, ‘last’, False}, defaul t ‘first’

Method to handle dropping duplicates:

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

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

  • False : Drop all duplicates.

inplacebool, default False

If True, performs operation inplace and returns None.

Returns:#

MulSeries or None

If inplace=True, returns None. Otherwise, returns a MulSeries. The MulSeries’ index dataframe is properly sliced according to removed values.