Series.value_counts() also shows categories with count 0.
Thought this would be a bug but according to doc it is intentional.
This makes the output of value_counts inconsistent when switching between category and non-category dtype. Apart from that it blows up the value_counts output for series with many categories.
I would prefer to hide counts (i.e. zero) for non-occuring categories by default and rather consider a parameter dropzero=True similar to dropna (see also #5569).
quantumds, codenigma1 and cbarecodenigma1
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