def as_array(self, cols=None, type_safe=False, null_schema=False):
schema = None if null_schema else self.schema
return list(
PD_UTILS.as_array_iterable(self.native,
schema=schema,
columns=cols,
type_safe=type_safe))
def as_array_iterable(self,
columns: Optional[List[str]] = None,
type_safe: bool = False) -> Iterable[Any]:
for row in PD_UTILS.as_array_iterable(
self.native,
schema=self.schema.pa_schema,
columns=columns,
type_safe=type_safe,
):
yield row