Python Pandas: How to split a sorted dictionary in a column of a dataframe

Question

I have a dataFrame like this:

id  asn      orgs
0   3320    {\'Deutsche Telekom AG\': 2288}
1   47886   {\'Joyent\': 16, \'Equinix (Netherlands) B.V.\': 7}
2         


        

Answer 1

This should work:

In [1]: import pandas as pd  
In [2]: import operator
In [3]: df = pd.DataFrame({ 'id' : [0,1,2,3],
   ...:                      'asn' : [3320, 47886, 47601, 33438],
   ...:                      'orgs' : [{'Deutsche Telekom AG': 2288}, {'Joyent': 16, 'Equinix (Netherlands) B.V.': 7}, {'fusion services': 1024, 'GCE Global Maritime':16859}, {'Highwinds Network Group': 893}]
   ...:                    })

In [4]: df.orgs, df['value'] = zip(*df.orgs.apply(lambda x : sorted(x.items(),key=operator.itemgetter(1),reverse=True)[0]))

In [5]: df
Out[5]:
     asn  id                     orgs  value
0   3320   0      Deutsche Telekom AG   2288
1  47886   1                   Joyent     16
2  47601   2      GCE Global Maritime  16859
3  33438   3  Highwinds Network Group    893

I used zip(* ) and assigned them to df.orgs and df.value.

For empty dictionaries:

In [3]: df = pd.DataFrame({ 'id' : [0,1,2,3],
   ...:                      'asn' : [3320, 47886, 47601, 33438],
   ...:                      'orgs' : [{'Deutsche Telekom AG': 2288}, {'Joyent': 16, 'Equinix (Netherlands) B.V.': 7}, {'fusion services': 1024, 'GCE Global Maritime':16859}, {}]
   ...:                    })
In [4]: df.orgs.apply(lambda x : sorted(x.items(),key=operator.itemgetter(1),reverse=True)[0] if len(x) else ('',''))
Out[4]:
0     (Deutsche Telekom AG, 2288)
1                    (Joyent, 16)
2    (GCE Global Maritime, 16859)
3                            (, )
Name: orgs, dtype: object

In [5]: df.orgs, df['value'] = zip(*df.orgs.apply(lambda x : sorted(x.items(),key=operator.itemgetter(1),reverse=True)[0] if len(x) else ('','')))

In [6]: df
Out[6]:
     asn  id                 orgs  value
0   3320   0  Deutsche Telekom AG   2288
1  47886   1               Joyent     16
2  47601   2  GCE Global Maritime  16859
3  33438   3