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  * __
  * [ pandas.DatetimeIndex ](pandas.DatetimeIndex.html)
  * pandas.Datet... 

#  pandas.DatetimeIndex.quarter  #

_ property  _ DatetimeIndex.  quarter  [ [source]
](https://github.com/pandas-
dev/pandas/blob/v2.2.2/pandas/core/indexes/extension.py#L67-L75) #

    

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)
    >>> s
    0   2020-01-01 10:00:00+00:00
    1   2020-04-01 11:00:00+00:00
    dtype: datetime64[ns, UTC]
    >>> s.dt.quarter
    0    1
    1    2
    dtype: int32
    

For DatetimeIndex:

    
    
    >>> idx = pd.DatetimeIndex(["1/1/2020 10:00:00+00:00",
    ...                         "2/1/2020 11:00:00+00:00"])
    >>> idx.quarter
    Index([1, 1], dtype='int32')
    

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  * ` DatetimeIndex.quarter  `

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](../../_sources/reference/api/pandas.DatetimeIndex.quarter.rst.txt)

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