Reputation: 308
I've looked everywhere and haven't quite been able to find a clear solution that worked for me. Suppose I have the following table:
Company or Agency Records Exposed
count sum
0 1-800-Flowers.com 1 Unknown
1 21st Century Oncology 1 2,213,597
2 37th Parallel Properties Investment Group, LLC 1 Unknown
3 4D Sound Diagnostics 1 1,000
4 7-Eleven, Inc. 1 7,832
Generated with the following query:
companies = data.groupby('Company or Agency')
companies = companies.agg({'Records Exposed': np.sum, 'Company or Agency' : ['count']})
companies = companies.reset_index()
companies = pd.DataFrame(companies)
#companies.sort_values('Company or Agency')
companies.head()
Basically, I want to sort my DataFrame based on the column 'Company or Agency count.' How can I do this?
Upvotes: 1
Views: 53
Reputation: 829
It looks like the agg
function created a MultiIndex
. One way to refer to the headers of a multi-indexed DataFrame is by tuples, so all in all it should be as simple as:
companies.sort_values(by=('Company or Agency', 'count'))
Upvotes: 1