[Utils][Bug] `aggregate` function fails with mixed dtype column. `ValueError: operands could not be broadcast together with shapes` ... about hierarchicalforecast HOT 1 CLOSED

The solution that worked is - converting all dtypes to object type in data that you pass inside aggregate function, instead of having mixed dtypes like string, int, float etc. You can leave 'y' as-is.

train_orders = train_orders.astype({'ds': 'object',
'country': 'object',
'state': 'object',
'city': 'object',
'county': 'object',
'y': 'int64'})
aggregate(train_orders, spec)

My error -
_Cell In[32], line 118, in aggregate1(df, spec, is_balanced)
116 y_bottom = y_bottom.reshape(len(S_df.columns), len(dates))
117 print(y_bottom.shape)
--> 118 y_bottom_mask = np.isnan(y_bottom)
119 y_agg = Agg @ np.nan_to_num(y_bottom)
120 y_agg_mask = Agg @ y_bottom_mask

File ~/anaconda3/envs/python3/lib/python3.10/site-packages/pandas/core/arrays/masked.py:528, in BaseMaskedArray.array_ufunc(self, ufunc, method, *inputs, **kwargs)
526 for x in inputs:
527 if isinstance(x, BaseMaskedArray):
--> 528 mask |= x._mask
529 inputs2.append(x._data)
530 else:

ValueError: operands could not be broadcast together with shapes (160,) (160,61) (160,)_

from hierarchicalforecast.