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    * [ pandas.PeriodIndex.days_in_month ](pandas.PeriodIndex.days_in_month.html)
    * [ pandas.PeriodIndex.daysinmonth ](pandas.PeriodIndex.daysinmonth.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)
    * [ 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)
  * [ API reference ](../index.html)
  * [ Index objects ](../indexing.html)
  * pandas.Index.delete 

#  pandas.Index.delete  #

Index.  delete  (  _ loc  _ )  [ [source]  ](https://github.com/pandas-
dev/pandas/blob/v2.2.2/pandas/core/indexes/base.py#L6916-L6954) #

    

Make new Index with passed location(-s) deleted.

Parameters  :

    

**loc** int or list of int

    

Location of item(-s) which will be deleted. Use a list of locations to delete
more than one value at the same time.

Returns  :

    

Index

    

Will be same type as self, except for RangeIndex.

See also

[ ` numpy.delete  `
](https://numpy.org/doc/stable/reference/generated/numpy.delete.html#numpy.delete
"\(in NumPy v1.26\)")

    

Delete any rows and column from NumPy array (ndarray).

Examples

    
    
    >>> idx = pd.Index(['a', 'b', 'c'])
    >>> idx.delete(1)
    Index(['a', 'c'], dtype='object')
    
    
    
    >>> idx = pd.Index(['a', 'b', 'c'])
    >>> idx.delete([0, 2])
    Index(['b'], dtype='object')
    

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