DataFrame.
nunique
Count distinct observations over requested axis.
Return Series with number of distinct observations. Can ignore NaN values.
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.
combine_size (int, optional) – The number of chunks to combine.
Series
参见
Series.nunique
Method nunique for Series.
DataFrame.count
Count non-NA cells for each column or row.
实际案例
>>> import mars.dataframe as md >>> df = md.DataFrame({'A': [1, 2, 3], 'B': [1, 1, 1]}) >>> df.nunique().execute() A 3 B 1 dtype: int64
>>> df.nunique(axis=1).execute() 0 1 1 2 2 2 dtype: int64