How to define an integer variable in networkx for a graph?










0














I am trying to draw an empty graph with n number of nodes.
I tried



e = nx.Graph() 
for i in range (0,n):
e.add_node(n)


I tried adding n == int



I get this error TypeError: 'type' object cannot be interpreted as an integer










share|improve this question























  • Your problem is that each time through the loop, you're adding node n, rather than node i.
    – Joel
    Nov 8 at 17:49










  • Even if you change to e.add_node(i), your code can be improved... For example in python range(0,n) is the same thing as range(n).
    – Joel
    Nov 8 at 17:50











  • And networkx has a command add_nodes_from which can add multiple nodes at once. So your loop could be replaced by e.add_nodes_from(range(n)).
    – Joel
    Nov 8 at 17:51










  • @pumpkinpeach Please stop tagging all of your questions with [anaconda], [jupyter], and [spyder] unless they specifically have something to do with those environments. These general questions apply to any Python environment or REPL, so should be left general. Thank you!
    – darthbith
    Nov 8 at 20:30















0














I am trying to draw an empty graph with n number of nodes.
I tried



e = nx.Graph() 
for i in range (0,n):
e.add_node(n)


I tried adding n == int



I get this error TypeError: 'type' object cannot be interpreted as an integer










share|improve this question























  • Your problem is that each time through the loop, you're adding node n, rather than node i.
    – Joel
    Nov 8 at 17:49










  • Even if you change to e.add_node(i), your code can be improved... For example in python range(0,n) is the same thing as range(n).
    – Joel
    Nov 8 at 17:50











  • And networkx has a command add_nodes_from which can add multiple nodes at once. So your loop could be replaced by e.add_nodes_from(range(n)).
    – Joel
    Nov 8 at 17:51










  • @pumpkinpeach Please stop tagging all of your questions with [anaconda], [jupyter], and [spyder] unless they specifically have something to do with those environments. These general questions apply to any Python environment or REPL, so should be left general. Thank you!
    – darthbith
    Nov 8 at 20:30













0












0








0







I am trying to draw an empty graph with n number of nodes.
I tried



e = nx.Graph() 
for i in range (0,n):
e.add_node(n)


I tried adding n == int



I get this error TypeError: 'type' object cannot be interpreted as an integer










share|improve this question















I am trying to draw an empty graph with n number of nodes.
I tried



e = nx.Graph() 
for i in range (0,n):
e.add_node(n)


I tried adding n == int



I get this error TypeError: 'type' object cannot be interpreted as an integer







python-3.x networkx






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 8 at 20:29









darthbith

6,04342648




6,04342648










asked Nov 8 at 16:25









Pumpkinpeach

165




165











  • Your problem is that each time through the loop, you're adding node n, rather than node i.
    – Joel
    Nov 8 at 17:49










  • Even if you change to e.add_node(i), your code can be improved... For example in python range(0,n) is the same thing as range(n).
    – Joel
    Nov 8 at 17:50











  • And networkx has a command add_nodes_from which can add multiple nodes at once. So your loop could be replaced by e.add_nodes_from(range(n)).
    – Joel
    Nov 8 at 17:51










  • @pumpkinpeach Please stop tagging all of your questions with [anaconda], [jupyter], and [spyder] unless they specifically have something to do with those environments. These general questions apply to any Python environment or REPL, so should be left general. Thank you!
    – darthbith
    Nov 8 at 20:30
















  • Your problem is that each time through the loop, you're adding node n, rather than node i.
    – Joel
    Nov 8 at 17:49










  • Even if you change to e.add_node(i), your code can be improved... For example in python range(0,n) is the same thing as range(n).
    – Joel
    Nov 8 at 17:50











  • And networkx has a command add_nodes_from which can add multiple nodes at once. So your loop could be replaced by e.add_nodes_from(range(n)).
    – Joel
    Nov 8 at 17:51










  • @pumpkinpeach Please stop tagging all of your questions with [anaconda], [jupyter], and [spyder] unless they specifically have something to do with those environments. These general questions apply to any Python environment or REPL, so should be left general. Thank you!
    – darthbith
    Nov 8 at 20:30















Your problem is that each time through the loop, you're adding node n, rather than node i.
– Joel
Nov 8 at 17:49




Your problem is that each time through the loop, you're adding node n, rather than node i.
– Joel
Nov 8 at 17:49












Even if you change to e.add_node(i), your code can be improved... For example in python range(0,n) is the same thing as range(n).
– Joel
Nov 8 at 17:50





Even if you change to e.add_node(i), your code can be improved... For example in python range(0,n) is the same thing as range(n).
– Joel
Nov 8 at 17:50













And networkx has a command add_nodes_from which can add multiple nodes at once. So your loop could be replaced by e.add_nodes_from(range(n)).
– Joel
Nov 8 at 17:51




And networkx has a command add_nodes_from which can add multiple nodes at once. So your loop could be replaced by e.add_nodes_from(range(n)).
– Joel
Nov 8 at 17:51












@pumpkinpeach Please stop tagging all of your questions with [anaconda], [jupyter], and [spyder] unless they specifically have something to do with those environments. These general questions apply to any Python environment or REPL, so should be left general. Thank you!
– darthbith
Nov 8 at 20:30




@pumpkinpeach Please stop tagging all of your questions with [anaconda], [jupyter], and [spyder] unless they specifically have something to do with those environments. These general questions apply to any Python environment or REPL, so should be left general. Thank you!
– darthbith
Nov 8 at 20:30












1 Answer
1






active

oldest

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1














Try:



import networkx as nx
n = 10
e = nx.Graph()
for i in range (n):
e.add_node(i)

nx.draw_networkx(e)


Output:



enter image description here






share|improve this answer




















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    1 Answer
    1






    active

    oldest

    votes








    1 Answer
    1






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes









    1














    Try:



    import networkx as nx
    n = 10
    e = nx.Graph()
    for i in range (n):
    e.add_node(i)

    nx.draw_networkx(e)


    Output:



    enter image description here






    share|improve this answer

























      1














      Try:



      import networkx as nx
      n = 10
      e = nx.Graph()
      for i in range (n):
      e.add_node(i)

      nx.draw_networkx(e)


      Output:



      enter image description here






      share|improve this answer























        1












        1








        1






        Try:



        import networkx as nx
        n = 10
        e = nx.Graph()
        for i in range (n):
        e.add_node(i)

        nx.draw_networkx(e)


        Output:



        enter image description here






        share|improve this answer












        Try:



        import networkx as nx
        n = 10
        e = nx.Graph()
        for i in range (n):
        e.add_node(i)

        nx.draw_networkx(e)


        Output:



        enter image description here







        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Nov 8 at 17:28









        Scott Boston

        51.2k72955




        51.2k72955



























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