pandas.DataFrame.nunique¶
-
DataFrame.
nunique
(axis=0, dropna=True)[source]¶ Count distinct observations over requested axis.
Return Series with number of distinct observations. Can ignore NaN values.
New in version 0.20.0.
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.
Returns: - nunique : Series
See also
Series.nunique
- Method nunique for Series.
DataFrame.count
- Count non-NA cells for each column or row.
Examples
>>> df = pd.DataFrame({'A': [1, 2, 3], 'B': [1, 1, 1]}) >>> df.nunique() A 3 B 1 dtype: int64
>>> df.nunique(axis=1) 0 1 1 2 2 2 dtype: int64