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Naming columns after aggregation in Pandas DataFrame

Pandas
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DataFrame Cookbooks
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Data Aggregation Cookbook
schedule Jul 1, 2022
Last updated
local_offer PythonPandas
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tocTable of Contents
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Consider the following DataFrame:

import pandas as pd
df = pd.DataFrame({'class':['a','a','b','b'],\
'name':['alex','bob','cathy','doge'],\
'score':[3,4,5,6]})
df
class name score
0 a alex 3
1 a bob 4
2 b cathy 5
3 b doge 6

To name columns after aggregation:

df.groupby('class').agg(my_mean_score=('score','mean'),\
my_max_score=('score','max'))
my_mean_score my_max_score
class
a 3.5 4
b 5.5 6

Here, the named argument (e.g. my_mean_score) in agg(~) becomes the column label of the resulting DataFrame.

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Published by Isshin Inada
Edited by 0 others
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