verticapy.vDataFrame.bool_to_int#

vDataFrame.bool_to_int() → vDataFrame#

Converts all booleans vDataColumns to integers.

Returns#

vDataFrame: self

Examples#

We import 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’s create a small dataset:

data = vp.vDataFrame(
    {
        "empid": ['1', '2', '3', '4'],
        "is_temp": [True, False, False, True],
    }
)
data

	Abc empid Varchar(1) 100%	010 is_temp Boolean 100%
1	1	✅
2	2	❌
3	3	❌
4	4	✅

Let’s change the data type from bool to int.

data.bool_to_int()

	Abc empid Varchar(1) 100%	123 is_temp Int 100%
1	1	1
2	2	0
3	3	0
4	4	1