/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

1 vote282 views2 answers
Python not null
Python
0 vote277 views1 answer
Python type hint superclass
Python
0 vote250 views4 answers
Python call function from string
Python
1 vote282 views1 answer
Python string assignment by index
Python
0 vote269 views1 answer
Python get unicode spaces
Python
0 vote258 views1 answer
Get the first element that is larger than
Python
1 vote327 views1 answer
Flask api with parameter
Python Flask
0 vote289 views1 answer
Solidity compiler for python
Python
2 votes284 views1 answer
Jupyter notebook pass python variable to shell
Python
-1 vote256 views1 answer
Python input().strip()
Python