pandas.DataFrame.nunique#

DataFrame.nunique(axis=0,dropna=True)[source]#

Count number of distinct elements in specified axis.

Return Series with number of distinct elements. Can ignore NaNvalues.

Parameters:

axis{0 or ‘index’, 1 or ‘columns’}, default 0

The axis to use. 0 or ‘index’ for row-wise, 1 or ‘columns’ forcolumn-wise.

dropnabool, default True

Don’t include NaN in the counts.

Returns:

Series

Series with counts of unique values per row or column, depending onaxis.

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    3B    2dtype: int64

>>>df.nunique(axis=1)0    11    22    2dtype: int64