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snowflake.snowpark.functions.booland

snowflake.snowpark.functions.booland(expr1: Union[snowflake.snowpark.column.Column, str], expr2: Union[snowflake.snowpark.column.Column, str]) → Column[source]
Computes the Boolean AND of two numeric expressions. In accordance with Boolean semantics:

  • Non-zero values (including negative numbers) are regarded as True.

  • Zero values are regarded as False.

Parameters:

  • expr1 (ColumnOrName) – The first boolean expression.

  • expr2 (ColumnOrName) – The second boolean expression.

Returns:

  • True if both expressions are non-zero.

  • False if both expressions are zero or one expression is zero and the other expression is non-zero or NULL.

  • NULL if both expressions are NULL or one expression is NULL and the other expression is non-zero.

Example::
>>> from snowflake.snowpark.functions import col
>>> df = session.create_dataframe([[1, -2], [0, 2], [0, 0], [5, 3]], schema=["a", "b"])
>>> df.select(booland(col("a"), col("b")).alias("result")).collect()
[Row(RESULT=True), Row(RESULT=False), Row(RESULT=False), Row(RESULT=True)]