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.list.len ](pandas.Series.list.len.html)
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    * [ pandas.Series.to_clipboard ](pandas.Series.to_clipboard.html)
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    * [ pandas.Series.to_markdown ](pandas.Series.to_markdown.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.quarter  #

Series.dt.  quarter  [ [source]  ](https://github.com/pandas-
dev/pandas/blob/v2.2.2/pandas/core/accessor.py#L95-L96) #

    

The quarter of the date.

Examples

For Series:

    
    
    >>> s = pd.Series(["1/1/2020 10:00:00+00:00", "4/1/2020 11:00:00+00:00"])
    >>> s = pd.to_datetime(s)
    >>>