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    * [ pandas.PeriodIndex.days_in_month ](pandas.PeriodIndex.days_in_month.html)
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    * [ pandas.PeriodIndex.year ](pandas.PeriodIndex.year.html)
    * [ pandas.PeriodIndex.asfreq ](pandas.PeriodIndex.asfreq.html)
    * [ pandas.PeriodIndex.strftime ](pandas.PeriodIndex.strftime.html)
    * [ pandas.PeriodIndex.to_timestamp ](pandas.PeriodIndex.to_timestamp.html)
    * [ pandas.PeriodIndex.from_fields ](pandas.PeriodIndex.from_fields.html)
    * [ pandas.PeriodIndex.from_ordinals ](pandas.PeriodIndex.from_ordinals.html)
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  * [ __ ](../../index.html)
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  * __
  * [ pandas.CategoricalIndex ](pandas.CategoricalIndex.html)
  * pandas.Categ... 

#  pandas.CategoricalIndex.as_ordered  #

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

    

Set the Categorical to be ordered.

Returns  :

    

Categorical

    

Ordered Categorical.

Examples

For [ ` pandas.Series  ` ](pandas.Series.html#pandas.Series "pandas.Series") :

    
    
    >>> ser = pd.Series(['a', 'b', 'c', 'a'], dtype='category')
    >>> ser.cat.ordered
    False
    >>> ser = ser.cat.as_ordered()
    >>> ser.cat.ordered
    True
    

For [ ` pandas.CategoricalIndex  `
](pandas.CategoricalIndex.html#pandas.CategoricalIndex
"pandas.CategoricalIndex") :

    
    
    >>> ci = pd.CategoricalIndex(['a', 'b', 'c', 'a'])
    >>> ci.ordered
    False
    >>> ci = ci.as_ordered()
    >>> ci.ordered
    True
    

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pandas.CategoricalIndex.as_unordered  __
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