nunique(self, axis: 'Axis' = 0, dropna: 'bool' = True) -> 'Series'
Return Series with number of distinct elements. Can ignore NaN values.
The axis to use. 0 or 'index' for row-wise, 1 or 'columns' for column-wise.
Don't include NaN in the counts.
Count number of distinct elements in specified axis.
DataFrame.count
Count non-NA cells for each column or row.
Series.nunique
Method nunique for Series.
>>> df = pd.DataFrame({'A': [4, 5, 6], 'B': [4, 1, 1]})This example is valid syntax, but we were not able to check execution
... df.nunique() A 3 B 2 dtype: int64
>>> df.nunique(axis=1) 0 1 1 2 2 2 dtype: int64See :
The following pages refer to to this document either explicitly or contain code examples using this.
pandas.core.base.IndexOpsMixin.nunique
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