I have a dataframe with city, name and members. I need to find the top 5 groups (name) in terms of highest member ('members') count per city.
This is what I get when I use:
clust.groupby(['city','name']).agg({'members':sum})
members
city                                   name 
Bath         AWS Bath User Group        346
             Agile Bath & Bristol        957
Bath         Crypto Chat                 47
Bath         JS                          142
Bath         Machine Learning Meetup     435
Belfast      4th Industrial Revolution Challenge    609
Belfast      Adobe Meetup                         66
Belfast      Azure Meetup                        205
Southampton  Crypto Currency Trading SouthCoast 50
Southampton Bitcoin and Altcoin Meetup          50
Southampton Functional Programming Meetup       28
Southampton Virtual Reality Meetup              248
Sunderland  Sunderland Digital  287
I need the top 5 but as you can see the member count doesn't seem to be ordered, i.e. 346 before 957 etc.
I've also tried sorting the values before-hand and do:
clust.sort_values(['city', 'name'], axis=0).groupby('city').head(5)
But that returns a similar series.
I've used this one too clust.groupby(['city', 'name']).head(5) 
but it gives me all the rows and not top 5. It also isn't structured so not in alphabetical order.
Please help. Thanks
I think need add ascending=[True, False] to sort_values and change column to members for sorting:
clust = clust.groupby(['city','name'], as_index=False)['members'].sum()
df = clust.sort_values(['city', 'members'], ascending=[True, False]).groupby('city').head(5)
print (df)
           city                                 name  members
1          Bath                 Agile Bath & Bristol      957
4          Bath              Machine Learning Meetup      435
0          Bath                  AWS Bath User Group      346
3          Bath                                   JS      142
2          Bath                          Crypto Chat       47
5       Belfast  4th Industrial Revolution Challenge      609
7       Belfast                         Azure Meetup      205
6       Belfast                         Adobe Meetup       66
11  Southampton               Virtual Reality Meetup      248
8   Southampton   Crypto Currency Trading SouthCoast       50
9   Southampton           Bitcoin and Altcoin Meetup       50
10  Southampton        Functional Programming Meetup       28
12   Sunderland                   Sunderland Digital      287
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