def test_any():
# ARROW-1846
a = pa.array([False, None, True])
assert pc.any(a).as_py() is True
a = pa.array([False, None, False])
assert pc.any(a).as_py() is False
def _format_outputs(cls, table: pa.Table) -> pa.Table:
for column_index in range(table.num_columns):
column: pa.Array = table.column(column_index)
format_applied = False
if pa.types.is_floating(column.type):
# Arrow outputs NaN as null
# If a float column contains NaN, use our own formatter to distinguish between them
has_nan = pac.any(
pac.and_not( # noqa
column.is_null(nan_is_null=True),
column.is_null(nan_is_null=False)))
if has_nan.as_py():
column = cls._format_float(column)
format_applied = True
if pa.types.is_decimal(column.type):
column = cls._format_decimal(column)
format_applied = True
if pa.types.is_timestamp(column.type):
column = cls._format_timestamp(column)
format_applied = True
if format_applied:
field = pa.field(table.schema.names[column_index], pa.utf8())
table = table \
.remove_column(column_index) \
.add_column(column_index, field, column)
return table