verticapy.sql.functions.bool_and¶

verticapy.sql.functions.bool_and(expr: Annotated[str | list[str] | StringSQL | list[StringSQL], '']) → StringSQL¶

Processes Boolean values and returns a Boolean value result. If all input values are true, BOOL_AND returns True. Otherwise it returns False.

Parameters¶

expr: SQLExpression: Expression.

Returns¶

StringSQL: SQL string.

Examples¶

First, let’s import the vDataFrame in order to create a dummy dataset.

from verticapy import vDataFrame

Now, let’s import the VerticaPy SQL functions.

import verticapy.sql.functions as vpf

We can now build a dummy dataset.

df = vDataFrame({"x": [True, False, True, True]})

Now, let’s go ahead and apply the function.

df.select([str(vpf.bool_and(df["x"]))])

	010 BOOL_AND Boolean 100%
1	❌

Note

It’s crucial to utilize VerticaPy SQL functions in coding, as they can be updated over time with new syntax. While SQL functions typically remain stable, they may vary across platforms or versions. VerticaPy effectively manages these changes, a task not achievable with pure SQL.