Two groupby 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

Two groupby pandas

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

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

Source: pandas.pydata.org

Similar codes

0 vote152 views1 answer
Block url selenium python
Python
5 votes150 views3 answers
Python datetime last day of month
Python
0 vote175 views1 answer
Color module python
Python
0 vote157 views1 answer
Count proportion pandas
Python
1 vote192 views1 answer
Flask enumerate index
Python Flask
0 vote150 views1 answer
How to get the realpath with python
Python
0 vote140 views1 answer
Django loginview?
Python
0 vote149 views2 answers
Torch tensor to pandas dataframe
Python
21 votes182 views5 answers
Format string to 2 decimal places python
Python
0 vote136 views1 answer
Df count zeros
Python