graph_plotter.py

import matplotlib.pyplot as plt
import numpy as np
import networkx as nx

nodes=['1', '2', '3', '4', '5']

P=nx.Graph()
P.add_nodes_from(nodes)

weighted_edges=[('1', '2' ,0.11),('1', '3', 3.1),('1','5',2.25),('4','5',0.25),('2','5',0.2),('2','4',0.22),('2','3',0.2)]

P.add_weighted_edges_from(weighted_edges)
#get edges, positions and weights

pos=nx.spring_layout(P)
labels=nx.get_edge_attributes(P,'weight')
nx.draw(P, with_labels = True)
#get edge labels
edge_labels=dict([((u,v,),d['weight']) for u,v,d in P.edges(data=True)])
#add edge labels

plot=nx.draw_networkx_edge_labels(P,pos,edge_labels=edge_labels,font_weight='normal')

plt.show()