python - Networkx degree method didn't produce want I think it is -


I have run the following script: 

  import import matpoltlib G. Ad_Age (1, 1, weight = 2), g.ed_ge (1, 3, weight = 2), g.ed_ge (1, 4, weight = 1) in the form of pyplot plt. Ad_age (1, 5, weight = 5) g.ad_age (2, 3, weight = 3) g.ad_age (2, 4, weight = 2) g.ed_ge (3, 5, weight = 4) d = g. Degree (1) Print GD [1] Print "Node 1 degree:", \ g. degree (1) print "weighted degree node 1:", \ g. Degree (1, weight = 'weight') nx.draw (g) plt.show ()   
 Output is:  
  {1: {' weight ': 2}, 3: {' weight ': 2}, 4: {' weight ': 1}, 5: {' weight ': 5}} weighted degree: 5 weighted degrees: 12   
 And the drawing is like this:  
 graph degree  
  What's wrong with me?   
 Since  4  nodes  node 1  (including oneself) -Pass, why the degree  5 ?  
 Since the total weight of the adjacent edges of  node 1  is  10  (2 + 2 + 1 + 5), the degree method is produced  12 ?  
 Thanks   
 
 
 
 For an indirect graph, adjacent corners of a peak Is equal to the number.   
 A special case is a  loop , which adds  two  in the degree to its own connection to the loop edge of its own Can be understood from being understood as an adjacent head. In other words, a peak with a loop "sees" from the two ends of the edge as an adjacent head, thus, does not connect from two to one degree.

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