xorbits.pandas.DataFrame.nunique#
- DataFrame.nunique(axis: Union[int, str] = 0, dropna: bool = True, method: str = 'auto', combine_size: Optional[int] = None)#
Count number of distinct elements in specified axis.
Return Series with number of distinct elements. Can ignore NaN values.
- Parameters
axis ({0 or 'index', 1 or 'columns'}, default 0) – The axis to use. 0 or ‘index’ for row-wise, 1 or ‘columns’ for column-wise.
dropna (bool, default True) – Don’t include NaN in the counts.
- Return type
See also
Series.nunique
Method nunique for Series.
DataFrame.count
Count non-NA cells for each column or row.
Examples
>>> df = pd.DataFrame({'A': [4, 5, 6], 'B': [4, 1, 1]}) >>> df.nunique() A 3 B 2 dtype: int64
>>> df.nunique(axis=1) 0 1 1 2 2 2 dtype: int64
- methodstr, default ‘auto’
execute via tree or shuffle way.
- combine_sizeint, default None
combine chunk sizes when executing via tree way.
This docstring was copied from pandas.core.frame.DataFrame.