/Python/Pandas sum multiple columns groupby

Pandas sum multiple columns groupby

df.groupby(['col1','col2']).agg({'col3':'sum','col4':'sum'}).reset_index()

Source: stackoverflow.com

Pandas sum multiple columns groupby

#UPDATED (June 2020): Introduced in Pandas 0.25.0, 
#Pandas has added new groupby behavior “named aggregation” and tuples, 
#for naming the output columns when applying multiple aggregation functions 
#to specific columns.

df.groupby(
     ['col1','col2']
 ).agg(
     sum_col3 = ('col3','sum'),
     sum_col4     = ('col4','sum'),
 ).reset_index()

Source: stackoverflow.com

Similar codes

0 vote164 views1 answer
Mutiple condition in dataframe
Python
0 vote146 views1 answer
Django get all model fields
Python
1 vote180 views1 answer
Flask redirect to url
Python
16 votes138 views6 answers
Python prime number
Python
3 votes136 views1 answer
Django import model from another app
Python
0 vote143 views1 answer
List files in http directory python
Python
3 votes155 views2 answers
How to create a network scanner in python
Python
12 votes180 views1 answer
Python check namespace has instance
Python
0 vote143 views1 answer
Say hello to someone in python
Python
0 vote99 views1 answer
Change state of tkintr btn
Python