CategoricalIndex.copy()

CategoricalIndex.copy(name=None, deep=False, dtype=None, **kwargs) [source]

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

Parameters:

Parameters:	name : string, optional deep : boolean, default False dtype : numpy dtype or pandas type
Returns:	copy : Index

name : string, optional

deep : boolean, default False

dtype : numpy dtype or pandas type

Returns:

copy : Index

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

Links:

doc_Pandas

2017-01-12 04:44:35

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