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

1 vote286 views1 answer
Python timestamp shift one day
Python
0 vote299 views1 answer
Python get time executed by function
Python
0 vote243 views1 answer
Logout redirect url
Python
0 vote343 views1 answer
Pycharm flask invalid or missing encoding declaration
Python Flask
2 votes292 views1 answer
Python convert list to true falsebased on condition
Python
0 vote341 views1 answer
ValueError: columns overlap but no suffix specified:
Python
0 vote293 views1 answer
How to find the no of user for a wifi using python for ubuntu
Python
-1 vote308 views1 answer
Python import from string
Python
0 vote304 views1 answer
Get timestamp with pyrhon
Python
14 votes286 views1 answer
Export a dataframe to excel pandas
Python