categories ](pandas.Series.cat.reorder_categories.html)
    * [ pandas.Series.cat.add_categories ](pandas.Series.cat.add_categories.html)
    * [ pandas.Series.cat.remove_categories ](pandas.Series.cat.remove_categories.html)
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    * [ pandas.Series.sparse.npoints ](pandas.Series.sparse.npoints.html)
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    * [ pandas.Series.to_frame ](pandas.Series.to_frame.html)
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    * [ pandas.Series.to_sql ](pandas.Series.to_sql.html)
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    * [ pandas.Series.to_string ](pandas.Series.to_string.html)
    * [ pandas.Series.to_clipboard ](pandas.Series.to_clipboard.html)
    * [ pandas.Series.to_latex ](pandas.Series.to_latex.html)
    * [ pandas.Series.to_markdown ](pandas.Series.to_markdown.html)
  * [ DataFrame ](../frame.html)
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  * [ Missing values ](../missing_value.html)

  * [ __ ](../../index.html)
  * [ API reference ](../index.html)
  * [ Series ](../series.html)
  * pandas.Serie... 

#  pandas.Series.duplicated  #

Series.  duplicated  (  _ keep  =  'first'  _ )  [ [source]
](https://github.com/pandas-
dev/pandas/blob/v2.2.2/pandas/core/series.py#L2528-L2606) #

    

Indicate duplicate Series values.

Duplicated values are indicated as ` True  ` values in the resulting Series.
Either all duplicates, all except