Closed
Description
Code Sample, a copy-pastable example if possible
Categorical.from_codes
requires categories
to be specified, with documented type "index-like" but passing a CategoricalIndex
raises an error.
>>> pd.Categorical.from_codes([1, 2], pd.CategoricalIndex(['Hello', 'world', '!', '**'])
/Users/joel/anaconda3/envs/scipy3k/lib/python3.5/site-packages/pandas/core/categorical.py in get_values(self)
1276 if is_datetimelike(self.categories):
1277 return self.categories.take(self._codes, fill_value=np.nan)
-> 1278 return np.array(self)
1279
1280 def check_for_ordered(self, op):
ValueError: object __array__ method not producing an array
Problem description
It seems that being able to construct a categorical column with an existing CategoricalIndex
would be a useful way to share CategoricalIndex
int-string mappings. This would seem to be what from_codes
aims to facilitate, but requires reconstructing the CategoricalIndex
, which seems unnecessary to me.
The documentation also says index-like which seems underspecified if a CategoricalIndex is not accepted. At least, the error is not sufficiently informative.