Group by 2 columns pandas

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

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 vote306 views1 answer
A python string
Python
0 vote382 views1 answer
Django time cualtulate
Python Django
0 vote314 views1 answer
Python get text of QLineEdit
Python
21 votes324 views4 answers
Pyautogui install
Python
0 vote328 views1 answer
Python get cookie from browser
Python
1 vote315 views1 answer
Strptime python decimal seconds
Python
1 vote298 views1 answer
Qmessagebox icon pyqt5
Python
2 votes294 views3 answers
Fibonacci formula python
Python
0 vote311 views1 answer
Predict probabilities with xg boost
Python
0 vote346 views2 answers
Python convert string to list of dictionaries
Python