Pandas sort values group by

df.groupby(['job']).apply(lambda x: (x.groupby('source')
                                      .sum()
                                      .sort_values('count', ascending=False))
                                     .head(3))

Source: stackoverflow.com

Sort values within groups pandas dataframe

import pandas as pd

df = pd.DataFrame({'A':[1, 2, 3, 4, 5, 6],
                   'B':[0, 1, 2, 0, 1, 2]})

df.groupby('B').apply(lambda x: x.sort_values('A', ascending = True))

Source: stackoverflow.com

Similar codes

0 vote92 views1 answer
Optimal alpha jupyter
Python
0 vote97 views1 answer
DRf Representation
Python
0 vote89 views1 answer
Casting float value to an integer in Python
Python
0 vote85 views1 answer
Python how to add a string to a list in the begining
Python
2 votes85 views1 answer
Validate IP Address
Python
0 vote91 views1 answer
RuntimeError: Broken toolchain: cannot link a simple C program
Python
0 vote84 views1 answer
Linux pyspark select java version
Python
24 votes94 views1 answer
How to randomly choose from a list python
Python
0 vote94 views1 answer
Geomertry
Python
-1 vote82 views2 answers
Pandas dataframe apply function with multiple arguments
Python