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The number of nodes and edges I calculated manually and by a method provided by networkx library dont match

I am trying to analyse a graph using networkx library in Python. I have implemented a function that returns the nodes and edges of that graph. After that I counted the number of nodes and edges by implementing the len() function for nodes and edges, which gave me 17 for both nodes and edges. However, when I used the method graph.number_of_nodes() of networkx library it gave me 53.

My code:

    import pandas as pd
    import networkx as nx
    import matplotlib.pyplot as plt

    header_list  = ["a","b","w"]

    E =pd.read_csv("aves-barn-swallow-contact-network.edges",sep=" ",header= 
    None,names=header_list)
    # print(E.head()) # prints first few rows of the csv file
    G = nx.from_pandas_edgelist(E,"a","b",["w"])

    nx.draw(G)
    plt.show()

    class GraphAnalyse:
    #finding nodes and edges
        def nodeEdge(self,Graph):
            nodes = Graph.nodes()
            edges = Graph.edges()
            return nodes,edges
    
    # displaying info about graph
        def display(self,Graph):
            nodesManual,edgesManual = self.nodeEdge(Graph) # calculated by me
            n,e= len(nodesManual),len(edgesManual) # calculated by me
            n2,e2 = Graph.number_of_nodes(),Graph.number_of_edges() #calculated by library
            print("No of nodes calculated by me: ",n)
            print("No of nodes calculated by library:",e)
            print("No of edges calculated by me:",n2)
            print("No of edges calculated by library:",e2)

    abscn= GraphAnalyse()
    # print(abscn.nodeEdge(G))
    abscn.display(G)

The graph when plotted shows 17 nodes. Here is the screenshot of plotted graph. Plotted Graph showing 17 nodes

Here is my screenshot of output: Output showing 53 nodes and edges by library and 17 nodes and edges by manual implementation



source https://stackoverflow.com/questions/76401952/the-number-of-nodes-and-edges-i-calculated-manually-and-by-a-method-provided-by

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