snowflake.snowpark.functions.boolxor_agg¶

snowflake.snowpark.functions.boolxor_agg(expr: Union[snowflake.snowpark.column.Column, str]) → Column[source] (https://github.com/snowflakedb/snowpark-python/blob/v1.47.0/src/snowflake/snowpark/_functions/scalar_functions.py#L4493-L4534)¶

Returns the logical XOR of all non-None records in a group. If all records inside a group are None, returns None.

Parameters:: expr (ColumnOrName) – The boolean values to aggregate.
Returns:: The logical XOR result of all non-None boolean values in the group.
Return type:: Column

Examples:

>>> df = session.create_dataframe([
...     [True],
...     [False],
...     [False],
...     [False]
... ], schema=["col1"])
>>> df.select(boolxor_agg(df["col1"])).collect()
[Row(BOOLXOR_AGG("COL1")=True)]

>>> df = session.create_dataframe([
...     [True],
...     [True],
...     [False],
...     [False]
... ], schema=["col1"])
>>> df.select(boolxor_agg(df["col1"])).collect()
[Row(BOOLXOR_AGG("COL1")=False)]

>>> df = session.create_dataframe([
...     [False],
...     [False],
...     [False],
...     [False]
... ], schema=["col1"])
>>> df.select(boolxor_agg(df["col1"])).collect()
[Row(BOOLXOR_AGG("COL1")=False)]