verticapy.vDataColumn.add_copy#

vDataColumn.add_copy(name: str) → vDataFrame#

Adds a copy vDataColumn to the parent vDataFrame.

Parameters#

name: str: Name of the copy.

Returns#

vDataFrame: self._parent

Examples#

import verticapy as vp

Hint

By assigning an alias to verticapy, we mitigate the risk of code collisions with other libraries. This precaution is necessary because verticapy uses commonly known function names like “average” and “median”, which can potentially lead to naming conflicts. The use of an alias ensures that the functions from verticapy are used as intended without interfering with functions from other libraries.

Let us create a dummy dataset and copy one of its columns:

vdf = vp.vDataFrame(
    {
        "val" : [0, 10, 20],
        "cat": ['a', 'b', 'c'],
    },
)

	123 val Integer 100%	Abc cat Varchar(1) 100%
1	0	a
2	10	b
3	20	c

We can copy the “val” column, and name the new column:

vdf["val"].add_copy("val_copy")

	123 val Integer 100%	...	Abc cat Varchar(1) 100%	123 val_copy Integer 100%
1	0	...	a	0
2	10	...	b	10
3	20	...	c	20