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    * [ pandas.PeriodIndex.day_of_week ](pandas.PeriodIndex.day_of_week.html)
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    * [ pandas.PeriodIndex.days_in_month ](pandas.PeriodIndex.days_in_month.html)
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    * [ pandas.PeriodIndex.from_ordinals ](pandas.PeriodIndex.from_ordinals.html)
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  * [ __ ](../../index.html)
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  * __
  * [ pandas.DatetimeIndex ](pandas.DatetimeIndex.html)
  * pandas.Datet... 

#  pandas.DatetimeIndex.month_name  #

DatetimeIndex.  month_name  (  _ *  args  _ , _ **  kwargs  _ )  [ [source]
](https://github.com/pandas-
dev/pandas/blob/v2.2.2/pandas/core/indexes/extension.py#L92-L102) #

    

Return the month names with specified locale.

Parameters  :

    

**locale** str, optional

    

Locale determining the language in which to return the month name. Default is
English locale ( ` 'en_US.utf8'  ` ). Use the command ` locale  -a  ` on your
terminal on Unix systems to find your locale language code.

Returns  :

    

Series or Index

    

Series or Index of month names.

Examples

    
    
    >>> s = pd.Series(pd.date_range(start='2018-01', freq='ME', periods=3))
    >>> s
    0   2018-01-31
    1   2018-02-28
    2   2018-03-31
    dtype: datetime64[ns]
    >>> s.dt.month_name()
    0     January
    1    February
    2       March
    dtype: object
    
    
    
    >>> idx = pd.date_range(start='2018-01', freq='ME', periods=3)
    >>> idx
    DatetimeIndex(['2018-01-31', '2018-02-28', '2018-03-31'],
                  dtype='datetime64[ns]', freq='ME')
    >>> idx.mon