pandas.core.groupby.DataFrameGroupBy.nunique

DataFrameGroupBy.nunique(dropna=True)

Return DataFrame with counts of unique elements in each position.

Parameters:

dropnabool, default True

Don’t include NaN in the counts.

Returns:

nunique: DataFrame

Counts of unique elements in each position.

See also

DataFrame.nunique

Count number of distinct elements in specified axis.

Examples

>>> df = pd.DataFrame(
...     {
...         "id": ["spam", "egg", "egg", "spam", "ham", "ham"],
...         "value1": [1, 5, 5, 2, 5, 5],
...         "value2": list("abbaxy"),
...     }
... )
>>> df
     id  value1 value2
0  spam       1      a
1   egg       5      b
2   egg       5      b
3  spam       2      a
4   ham       5      x
5   ham       5      y

>>> df.groupby("id").nunique()
      value1  value2
id
egg        1       1
ham        1       2
spam       2       1

Check for rows with the same id but conflicting values:

>>> df.groupby("id").filter(lambda g: (g.nunique() > 1).any())
     id  value1 value2
0  spam       1      a
3  spam       2      a
4   ham       5      x
5   ham       5      y