s.Series.cat.rename_categories.html)
    * [ pandas.Series.cat.reorder_categories ](pandas.Series.cat.reorder_categories.html)
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    * [ pandas.Series.list.flatten ](pandas.Series.list.flatten.html)
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    * [ pandas.Series.list.__getitem__ ](pandas.Series.list.__getitem__.html)
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    * [ pandas.Series.to_string ](pandas.Series.to_string.html)
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    * [ pandas.Series.to_markdown ](pandas.Series.to_markdown.html)
  * [ DataFrame ](../frame.html)
  * [ pandas arrays, scalars, and data types ](../arrays.html)
  * [ Index objects ](../indexing.html)
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  * [ Options and settings ](../options.html)
  * [ Extensions ](../extensions.html)
  * [ Testing ](../testing.html)
  * [ Missing values ](../missing_value.html)

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

#  pandas.Series.str.rfind  #

Series.str.  rfind  (  _ sub  _ , _ start  =  0  _ , _ end  =  None  _ )  [
[source]  ](https://github.com/pandas-
dev/pandas/blob/v2.2.1/pandas/core/strings/accessor.py#L2919-L2934) #

    

Return highest indexes in each strings i