dataframe groupby multiple columns

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showing results for - "dataframe groupby multiple columns"
Sophie
10 Oct 2016
1df.groupby(['col1','col2']).agg({'col3':'sum','col4':'sum'}).reset_index()
2
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Fernando
22 Mar 2017
1grouped_multiple = df.groupby(['Team', 'Pos']).agg({'Age': ['mean', 'min', 'max']})
2grouped_multiple.columns = ['age_mean', 'age_min', 'age_max']
3grouped_multiple = grouped_multiple.reset_index()
4print(grouped_multiple)
5
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Cassie
06 Jan 2021
1In [8]: grouped = df.groupby('A')
2
3In [9]: grouped = df.groupby(['A', 'B'])
4
source
Leann
07 Feb 2019
1In [11]: df.groupby(['col5', 'col2']).size()
2Out[11]:
3col5  col2
41     A       1
5      D       3
62     B       2
73     A       3
8      C       1
94     B       1
105     B       2
116     B       1
12dtype: int64
13
source
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