from SO
missing = pd.Categorical(list('aaa'), categories=['a', 'b'])
dense = pd.Categorical(list('abc'))
values = np.arange(len(dense))
df = pd.DataFrame({'missing': missing, 'dense': dense, 'values': values})
grouped = df.groupby(['missing', 'dense'])
# does reindex output for missing categories
grouped.mean()
grouped.agg(np.mean)
# does not reindex the output for the missing categories
grouped.apply(lambda chunk: np.mean(chunk))
So the _wrap_applied_output need a call to _reindex_output as a post-processing step.
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