CategoricalIndex.value_counts()
pandas.CategoricalIndex.value_counts
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CategoricalIndex.value_counts(normalize=False, sort=True, ascending=False, bins=None, dropna=True)
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Returns object containing counts of unique values.
The resulting object will be in descending order so that the first element is the most frequently-occurring element. Excludes NA values by default.
Parameters: normalize : boolean, default False
If True then the object returned will contain the relative frequencies of the unique values.
sort : boolean, default True
Sort by values
ascending : boolean, default False
Sort in ascending order
bins : integer, optional
Rather than count values, group them into half-open bins, a convenience for pd.cut, only works with numeric data
dropna : boolean, default True
Don’t include counts of NaN.
Returns: counts : Series
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Licensed under the 3-clause BSD License.
http://pandas.pydata.org/pandas-docs/version/0.18.1/generated/pandas.CategoricalIndex.value_counts.html