value_counts(values, sort: 'bool' = True, ascending: 'bool' = False, normalize: 'bool' = False, bins=None, dropna: 'bool' = True) -> 'Series'
Sort by values
Sort in ascending order
If True then compute a relative histogram
Rather than count values, group them into half-open bins, convenience for pd.cut, only works with numeric data
Don't include counts of NaN
Compute a histogram of the counts of non-null values.
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