tegories ](pandas.Series.cat.reorder_categories.html)
    * [ pandas.Series.cat.add_categories ](pandas.Series.cat.add_categories.html)
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    * [ pandas.Series.list.flatten ](pandas.Series.list.flatten.html)
    * [ pandas.Series.list.len ](pandas.Series.list.len.html)
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    * [ pandas.Series.to_excel ](pandas.Series.to_excel.html)
    * [ pandas.Series.to_frame ](pandas.Series.to_frame.html)
    * [ pandas.Series.to_xarray ](pandas.Series.to_xarray.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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  * [ 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.dt.to_period  #

Series.dt.  to_period  (  _ *  args  _ , _ **  kwargs  _ )  [ [source]
](https://github.com/pandas-
dev/pandas/blob/v2.2.2/pandas/core/accessor.py#L111-L112) #

    

Cast to PeriodArray/PeriodIndex at a particular frequency.

Converts DatetimeArray/Index to PeriodArray/PeriodIndex.

Parameters  :