def _box_series_data(dtype, data_typ, val, c):
if isinstance(dtype, types.BaseTuple):
np_dtype = np.dtype(
','.join(str(t) for t in dtype.types), align=True)
dtype = numba.numpy_support.from_dtype(np_dtype)
if dtype == string_type:
arr = box_str_arr(string_array_type, val, c)
elif dtype == datetime_date_type:
arr = box_datetime_date_array(data_typ, val, c)
elif isinstance(dtype, PDCategoricalDtype):
arr = box_categorical_array(data_typ, val, c)
elif data_typ == string_array_split_view_type:
arr = box_str_arr_split_view(data_typ, val, c)
elif dtype == types.List(string_type):
arr = box_list(list_string_array_type, val, c)
else:
arr = box_array(data_typ, val, c)
if isinstance(dtype, types.Record):
o_str = c.context.insert_const_string(c.builder.module, "O")
o_str = c.pyapi.string_from_string(o_str)
arr = c.pyapi.call_method(arr, "astype", (o_str,))
return arr
def box_df_dummy(typ, val, c):
return box_datetime_date_array(typ, val, c)