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pandas.IntervalIndex.copy

IntervalIndex.copy(deep=False, name=None)[source]

Make a copy of this object. Name and dtype sets those attributes on the new object.

Parameters:

name : string, optional

deep : boolean, default False

dtype : numpy dtype or pandas type

Returns:

copy : Index

Notes

In most cases, there should be no functional difference from using deep, but if deep is passed it will attempt to deepcopy.

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