bigframes.pandas.MultiIndex.drop_duplicates#

MultiIndex.drop_duplicates(*,keep:__builtins__.str='first')→Index#

Return Index with duplicate values removed.

Examples:

>>>importbigframes.pandasasbpd

Generate an pandas.Index with duplicate values.

>>>idx=bpd.Index(['lama','cow','lama','beetle','lama','hippo'])

The keep parameter controls which duplicate values are removed.The valuefirst keeps the first occurrence for each set ofduplicated entries. The default value of keep isfirst.

>>>idx.drop_duplicates(keep='first')Index(['lama', 'cow', 'beetle', 'hippo'], dtype='string')

The valuelast keeps the last occurrence for each set ofduplicated entries.

>>>idx.drop_duplicates(keep='last')Index(['cow', 'beetle', 'lama', 'hippo'], dtype='string')

The valueFalse discards all sets of duplicated entries.

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

Parameters:

keep ({‘first’, ‘last’,False}, default ‘first’) – One of:‘first’ : Drop duplicates except for the first occurrence.‘last’ : Drop duplicates except for the last occurrence.False : Drop all duplicates.

Returns:

bigframes.pandas.Index