verticapy.vDataFrame.info#

vDataFrame.info() → str#

Displays information about the different vDataFrame transformations.

Returns#

str: information on the vDataFrame modifications

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 check modifications:

vdf = vp.vDataFrame({"val": [0, 10, 20]})

	123 val Integer 100%
1	0
2	10
3	20

Since the vDataFrame just got created, it will have no modifications. We can check:

vdf.info()
Out[3]: 'The vDataFrame was never modified.'

Next we can add 10 to all the values:

vdf["val"] = 10 + vdf["val"]

	123 val Integer 100%
1	10
2	20
3	30

We can check the modifications:

vdf.info()
Out[5]: 'The vDataFrame was modified with only one action: \n * {Thu Mar 14 18:50:07 2024} [Apply]: The vDataColumn \'val\' was transformed with the func \'x -> (10) + ("val")\'.'