/Python/Dataframe groupby multiple columns

Dataframe groupby multiple columns

grouped_multiple = df.groupby(['Team', 'Pos']).agg({'Age': ['mean', 'min', 'max']})
grouped_multiple.columns = ['age_mean', 'age_min', 'age_max']
grouped_multiple = grouped_multiple.reset_index()
print(grouped_multiple)

Source: jamesrledoux.com

Pandas sum multiple columns groupby

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

Source: stackoverflow.com

Group by 2 columns pandas

In [11]: df.groupby(['col5', 'col2']).size()
Out[11]:
col5  col2
1     A       1
      D       3
2     B       2
3     A       3
      C       1
4     B       1
5     B       2
6     B       1
dtype: int64

Source: stackoverflow.com

Two groupby pandas

In [8]: grouped = df.groupby('A')

In [9]: grouped = df.groupby(['A', 'B'])

Source: pandas.pydata.org

Similar codes

0 vote56 views2 answers
Access matrix value opencv
Python
19 votes108 views2 answers
Python string cut first n characters
Python
15 votes98 views5 answers
Check empty dataframe
Python
0 vote110 views1 answer
How to add legend on side of the chart python
Python
0 vote149 views1 answer
Programação funcional python - lambda
Python
0 vote98 views1 answer
How to get one csv column in python
Python
0 vote101 views1 answer
Flatmap in python
Python
0 vote164 views1 answer
Subprocess.popen no output
Python
0 vote121 views1 answer
Np.zeros data type not understood
Python
0 vote106 views1 answer
E: Package 'python-certbot-nginx' has no installation candidate
Python