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Getting number of distinct rows in each group in Pandas DataFrame

schedule Aug 12, 2023
Last updated
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Consider the following DataFrame:

import pandas as pd
df = pd.DataFrame({'class':['A','A','A','B','B'],
'score':[3,3,5,6,6]})
df
class score
0 A 3
1 A 3
2 A 5
3 B 6
4 B 6

To get the number of distinct scores in each group, use 'nunique':

df.groupby('class').agg(num_distinct_scores=('score','nunique'))
num_distinct_scores
class
A 2
B 1
robocat
Published by Isshin Inada
Edited by 0 others
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