verticapy.vDataFrame.swap#

vDataFrame.swap(column1: int | str, column2: int | str) → vDataFrame#

Swap the two input vDataColumns.

Parameters#

column1: str | int: The first vDataColumn or its index to swap.
column2: str | int: The second vDataColumn or its index to swap.

Returns#

vDataFrame: self

Examples#

Let’s begin by importing VerticaPy.

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 swap 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 swap the categorical column and value columns:

vdf.swap("val", "cat")

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