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