In [1]:

    

%matplotlib inline
import numpy as np
import pandas as pd
import networkx as nx


    

In [2]:

    

G=nx.Graph()


    

In [9]:

    

edges = pd.read_csv('../data/edges.csv')


    

In [12]:

    

nodes.head(3)


    

    
Out[12]:






  

    

      

      
Unnamed: 0
      
users
    
  
  

    

      
0
      
0
      
NaN
    
    

      
1
      
1
      
0x0000000000000000000000000000000000000000
    
    

      
2
      
2
      
0x0000000000000000000000000000000000000001
    
  

In [13]:

    




    

    




---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-13-bd11dcd30417> in <module>()
      1 for row in nodes.iterrows():
----> 2     G.add_node(row[1])

/usr/local/lib/python2.7/dist-packages/networkx/classes/graph.pyc in add_node(self, n, attr_dict, **attr)
    458                 raise NetworkXError(
    459                     "The attr_dict argument must be a dictionary.")
--> 460         if n not in self.node:
    461             self.adj[n] = self.adjlist_dict_factory()
    462             self.node[n] = attr_dict

/usr/local/lib/python2.7/dist-packages/pandas/core/generic.pyc in __hash__(self)
    804     def __hash__(self):
    805         raise TypeError('{0!r} objects are mutable, thus they cannot be'
--> 806                         ' hashed'.format(self.__class__.__name__))
    807 
    808     def __iter__(self):

TypeError: 'Series' objects are mutable, thus they cannot be hashed

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