/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

12 votes110 views6 answers
Progress bar in python
Python
1 vote147 views2 answers
Django make new application folder
Python Django
0 vote114 views1 answer
Choose a random snippet of text
Python
0 vote111 views1 answer
Renpy hide textbox
Python
0 vote117 views1 answer
Csrf token fetch django
Python
-2 votes132 views2 answers
Python program to find n prime numbers
Python
1 vote124 views1 answer
Python autoclick website
Python
2 votes112 views1 answer
Flask session timeout
Python
1 vote112 views1 answer
Np.multiply
Python
1 vote115 views1 answer
What is nea in python
Python