Delete vertices that meet the conditions in networkx

Task

Let's delete the vertices that meet the conditions from the graph defined in the program!

This condition

--Use networkx --Graphs are defined in the program -Delete [Vertex with degree 0] or [Vertex with degree 1 and the edge connected to that vertex].

The first program I thought of

import networkx as nx
import matplotlib.pyplot as plt
G=nx.Graph()
G.add_nodes_from([1,2,3,4,5,6,7,8,9,10])
G.add_edges_from([(1,2),(2,4),(3,2),(4,5),(6,10),(7,6),(8,6),(9,8),(10,8),(1,9),(8,1)])

#n=G.number_of_nodes()
#[Vertices of degree 0]Or[Vertices of degree 1 and edges connecting to those vertices]To delete
for v in G:
    #print(G.degree(v))
    #print("v=",v)
    G_deg=G.degree(v)
    if G_deg==0 or G_deg==1:
        G.remove_node(v)
        #print("G_deg=",G_deg)


#Graph output
nx.draw_networkx(G)
plt.show()

I thought it was good and tried it.

error

Traceback (most recent call last):
  File "kadai06d.py", line 10, in <module>
    for v in G:
RuntimeError: dictionary changed size during iteration

It's not straightforward. .. .. I searched online to find the cause.

Cause 1

First of all, the meaning of the error is ** "The iterating object cannot be changed" **. In other words, does it mean that you can't delete while looping with for v in G:?

Improvement 1

If I couldn't delete it inside for v in G, I thought I would list the vertices that meet the conditions and then delete them all at once outside for v in G.

Improvement 1 program

import networkx as nx
import matplotlib.pyplot as plt
G=nx.Graph()
G.add_nodes_from([1,2,3,4,5,6,7,8,9,10])
G.add_edges_from([(1,2),(2,4),(3,2),(4,5),(6,10),(7,6),(8,6),(9,8),(10,8),(1,9),(8,1)])

node_be=G.number_of_nodes() #Number of vertices before deletion
edge_be=G.number_of_edges() #Number of sides before deletion

#[Vertices of degree 0]Or[Vertices of degree 1 and edges connecting to those vertices]To delete
G_rem=[]
#List the vertices that meet the conditions
for v in G:
    G_deg=G.degree(v)
    #print("G_deg[",v,"]=",G_deg)
    if G_deg<=1:
       #print("v=",v)
       G_rem.append(v)

#Delete vertices that meet the conditions
G.remove_nodes_from(G_rem)

node_af=G.number_of_nodes() #Number of vertices after deletion
edge_af=G.number_of_edges() #Number of edges after deletion

#Graph output
nx.draw_networkx(G)
plt.show()

I tried to run it with this.

Executed graph

\\ There are still vertices of degree 1 ///

Cause 2

Just by looking at for v in G: once, it seems that v is getting bigger and bigger and even if the order becomes 1, it goes through. In other words, you have to do it once and look back over and over again!

Improvement 2

I decided to do a double loop to repeat for v in G: many times. Try turning for many times for the number of vertices.

Improved program

import networkx as nx
import matplotlib.pyplot as plt
G=nx.Graph()
G.add_nodes_from([1,2,3,4,5,6,7,8,9,10])
G.add_edges_from([(1,2),(2,4),(3,2),(4,5),(6,10),(7,6),(8,6),(9,8),(10,8),(1,9),(8,1)])

node_be=G.number_of_nodes() #Number of vertices before deletion
edge_be=G.number_of_edges() #Number of sides before deletion

#[Vertices of degree 0]Or[Vertices of degree 1 and edges connecting to those vertices]To delete
G_rem=[]
#List the vertices that meet the conditions
for i in range(node_be):
    for v in G:
        G_deg=G.degree(v)
        #print("G_deg[",v,"]=",G_deg)
        if G_deg<=1:
            #print("v=",v)
            G_rem.append(v)
    #Delete vertices that meet the conditions
    G.remove_nodes_from(G_rem)

node_af=G.number_of_nodes() #Number of vertices after deletion
edge_af=G.number_of_edges() #Number of edges after deletion

#Graph output
nx.draw_networkx(G)
plt.savefig("output.png ")
plt.show()

Executed graph

The apex of degree 1 is gone!

Finally

I found that I couldn't easily delete vertices without going through various steps. Thank you until the end.