In [82]:

    

import pandas as pd
import numpy as np
import networkx as nx
r = np.random.RandomState(seed=42)
ints = r.random_integers(1, 10, size=(3,2))
# ints = r.randint(1, 11)
a = ['A', 'B', 'C']
b = ['D', 'A', 'E']
df = pd.DataFrame(ints, columns=['weight', 'cost'])
df[0] = a
df['b'] = b
G=nx.from_pandas_dataframe(df, 0, 'b', list(df))


    

    




d:\pythonenv\py36_ai_env\lib\site-packages\ipykernel_launcher.py:5: DeprecationWarning: This function is deprecated. Please call randint(1, 10 + 1) instead
  """

In [83]:

    

df


    

    
Out[83]:







  

    

      

      
weight
      
cost
      
0
      
b
    
  
  

    

      
0
      
7
      
4
      
A
      
D
    
    

      
1
      
8
      
5
      
B
      
A
    
    

      
2
      
7
      
10
      
C
      
E
    
  

In [84]:

    

G['E']['C']['cost']
# G[7][10]['cost']


    

    
Out[84]:





10