mars.dataframe.DataFrame.nunique#

DataFrame.nunique(axis=0, dropna=True, combine_size=None)#

Count distinct observations over requested axis.

Return Series with number of distinct observations. 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.

  • combine_size (int, optional) – The number of chunks to combine.

Return type

Series

See also

Series.nunique

Method nunique for Series.

DataFrame.count

Count non-NA cells for each column or row.

Examples

>>> 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