def generic(self, args, kws):
assert not kws
df, values, index, columns, aggfunc, _pivot_values = args
if not (isinstance(values, types.StringLiteral)
and isinstance(index, types.StringLiteral)
and isinstance(columns, types.StringLiteral)):
raise ValueError(
"pivot_table() only support string constants for"
"'values', 'index' and 'columns' arguments")
values = values.literal_value
index = index.literal_value
columns = columns.literal_value
# get output data type
data = df.data[df.columns.index(values)]
func = get_agg_func(None, aggfunc.literal_value, None)
f_ir = numba.ir_utils.get_ir_of_code(
{
'np': np,
'numba': numba,
'sdc': sdc
}, func.__code__)
_, out_dtype, _ = numba.typed_passes.type_inference_stage(
self.context, f_ir, (data, ), None)
out_arr_typ = _get_series_array_type(out_dtype)
pivot_vals = _pivot_values.meta
n_vals = len(pivot_vals)
out_df = DataFrameType((out_arr_typ, ) * n_vals, None,
tuple(pivot_vals))
return signature(out_df, *args)
def resolve_std(self, grp, args, kws):
func = get_agg_func(None, 'std', None)
return self._get_agg_typ(grp, args, func.__code__)
