CategoricalIndex.value_counts()

CategoricalIndex.value_counts(normalize=False, sort=True, ascending=False, bins=None, dropna=True) [source]

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:

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

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

Links:

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2017-01-12 04:45:12

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