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  * [ __ ](../../index.html)
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  * pandas.Index... 

#  pandas.Index.memory_usage  #

Index.  memory_usage  (  _ deep  =  False  _ )  [ [source]
](https://github.com/pandas-
dev/pandas/blob/v2.2.2/pandas/core/indexes/base.py#L5235-L5241) #

    

Memory usage of the values.

Parameters  :

    

**deep** bool, default False

    

Introspect the data deeply, interrogate  object  dtypes for system-level
memory consumption.

Returns  :

    

bytes used

    

See also

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

    

Total bytes consumed by the elements of the array.

Notes

Memory usage does not include memory consumed by elements that are not
components of the array if deep=False or if used on PyPy

Examples

    
    
    >>> idx = pd.Index([1, 2, 3])
    >>> idx.memory_usage()
    24
    

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](../../_sources/reference/api/pandas.Index.memory_usage.rst.txt)

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