pandas.TimedeltaIndex.round ](pandas.TimedeltaIndex.round.html)
    * [ pandas.TimedeltaIndex.floor ](pandas.TimedeltaIndex.floor.html)
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    * [ pandas.TimedeltaIndex.to_frame ](pandas.TimedeltaIndex.to_frame.html)
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    * [ pandas.PeriodIndex ](pandas.PeriodIndex.html)
    * [ pandas.PeriodIndex.day ](pandas.PeriodIndex.day.html)
    * [ pandas.PeriodIndex.dayofweek ](pandas.PeriodIndex.dayofweek.html)
    * [ pandas.PeriodIndex.day_of_week ](pandas.PeriodIndex.day_of_week.html)
    * [ pandas.PeriodIndex.dayofyear ](pandas.PeriodIndex.dayofyear.html)
    * [ pandas.PeriodIndex.day_of_year ](pandas.PeriodIndex.day_of_year.html)
    * [ pandas.PeriodIndex.days_in_month ](pandas.PeriodIndex.days_in_month.html)
    * [ pandas.PeriodIndex.daysinmonth ](pandas.PeriodIndex.daysinmonth.html)
    * [ pandas.PeriodIndex.end_time ](pandas.PeriodIndex.end_time.html)
    * [ pandas.PeriodIndex.freq ](pandas.PeriodIndex.freq.html)
    * [ pandas.PeriodIndex.freqstr ](pandas.PeriodIndex.freqstr.html)
    * [ pandas.PeriodIndex.hour ](pandas.PeriodIndex.hour.html)
    * [ pandas.PeriodIndex.is_leap_year ](pandas.PeriodIndex.is_leap_year.html)
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    * [ pandas.PeriodIndex.month ](pandas.PeriodIndex.month.html)
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    * [ pandas.PeriodIndex.qyear ](pandas.PeriodIndex.qyear.html)
    * [ pandas.PeriodIndex.second ](pandas.PeriodIndex.second.html)
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    * [ pandas.PeriodIndex.week ](pandas.PeriodIndex.week.html)
    * [ pandas.PeriodIndex.weekday ](pandas.PeriodIndex.weekday.html)
    * [ pandas.PeriodIndex.weekofyear ](pandas.PeriodIndex.weekofyear.html)
    * [ pandas.PeriodIndex.year ](pandas.PeriodIndex.year.html)
    * [ pandas.PeriodIndex.asfreq ](pandas.PeriodIndex.asfreq.html)
    * [ pandas.PeriodIndex.strftime ](pandas.PeriodIndex.strftime.html)
    * [ pandas.PeriodIndex.to_timestamp ](pandas.PeriodIndex.to_timestamp.html)
    * [ pandas.PeriodIndex.from_fields ](pandas.PeriodIndex.from_fields.html)
    * [ pandas.PeriodIndex.from_ordinals ](pandas.PeriodIndex.from_ordinals.html)
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  * [ __ ](../../index.html)
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  * [ Index objects ](../indexing.html)
  * pandas.Index... 

#  pandas.Index.drop_duplicates  #

Index.  drop_duplicates  (  _ *  _ , _ keep  =  'first'  _ )  [ [source]
](https://github.com/pandas-
dev/pandas/blob/v2.2.2/pandas/core/indexes/base.py#L3071-L3120) #

    

Return Index with duplicate values removed.

Parameters  :

    

**keep** {âfirstâ, âlastâ, ` False  ` }, default âfirstâ

    

  * âfirstâ : Drop duplicates except for the first occurrence. 

  * âlastâ : Drop duplicates except for the last occurrence. 

  * ` False  ` : Drop all duplicates. 

Returns  :

    

Index

    

See also

[ ` Series.drop_duplicates  `
](pandas.Series.drop_duplicates.html#pandas.Series.drop_duplicates
"pandas.Series.drop_duplicates")

    

Equivalent method on Series.

[ ` DataFrame.drop_duplicates  `
](pandas.DataFrame.drop_duplicates.html#pandas.DataFrame.drop_duplicates
"pandas.DataFrame.drop_duplicates")

    

Equivalent method on DataFrame.

[ ` Index.duplicated  ` ](pandas.Index.duplicated.html#pandas.Index.duplicated
"pandas.Index.duplicated")

    

Related method on Index, indicating duplicate Index values.

Examples

Generate an pandas.Index with duplicat