)
    * [ pandas.TimedeltaIndex.round ](pandas.TimedeltaIndex.round.html)
    * [ pandas.TimedeltaIndex.floor ](pandas.TimedeltaIndex.floor.html)
    * [ pandas.TimedeltaIndex.ceil ](pandas.TimedeltaIndex.ceil.html)
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    * [ pandas.PeriodIndex.days_in_month ](pandas.PeriodIndex.days_in_month.html)
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    * [ pandas.PeriodIndex.freq ](pandas.PeriodIndex.freq.html)
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    * [ pandas.PeriodIndex.week ](pandas.PeriodIndex.week.html)
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    * [ pandas.PeriodIndex.weekofyear ](pandas.PeriodIndex.weekofyear.html)
    * [ pandas.PeriodIndex.year ](pandas.PeriodIndex.year.html)
    * [ pandas.PeriodIndex.asfreq ](pandas.PeriodIndex.asfreq.html)
    * [ pandas.PeriodIndex.strftime ](pandas.PeriodIndex.strftime.html)
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    * [ pandas.PeriodIndex.from_fields ](pandas.PeriodIndex.from_fields.html)
    * [ pandas.PeriodIndex.from_ordinals ](pandas.PeriodIndex.from_ordinals.html)
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  * [ Testing ](../testing.html)
  * [ Missing values ](../missing_value.html)

  * [ __ ](../../index.html)
  * [ API reference ](../index.html)
  * [ Index objects ](../indexing.html)
  * pandas.Index.dtype 

#  pandas.Index.dtype  #

Index.  dtype  [ [source]  ](https://github.com/pandas-
dev/pandas/blob/v2.2.2/pandas/core/indexes/base.py#L974-L987) #

    

Return the dtype object of the underlying data.

Examples

    
    
    >>> idx = pd.Index([1, 2, 3])
    >>> idx
    Index([1, 2, 3], dtype='int64')
    >>> idx.dtype
    dtype('int64')
    

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  * ` Index.dtype  `

[ __ Show Source ](../../_sources/reference/api/pandas.Index.dtype.rst.txt)

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