title: How to sort edges in networkx based on their weight
body: <p>I a using NetworkX for a network analysis in python. I determine the weight for every edge and add that edge to the graph in the following way:</p>
  
  <pre><code>import matplotlib.pyplot as plt
  import networkx as nx
  import numpy as np
  
  
  airports = ['ATL','LAX','ORD']
  weights  = [500,200,150] #Note that in my real code I I calculated these weights, they are not provided
  G = nx.Graph()
  G.add_nodes_from(airports)
  
  weightlst = []
  airports_pos = []
  checked_airports = []
  
  i = 0
  for airport1 in airports:
      for airport2 in airports:
          if airport1 != airport2 and  checked_airports.count([airport1,airport2])==0 and checked_airports.count([airport2,airport1])==0:
              weightedge = weights[i]
              weightlst.append(weightedge)
              weightedge = weightedge*0.0020+0.5
              G.add_edge(airport1, airport2, weight=weightedge)
      checked_airports.append([airport1,airport2])
      i = i + 1
  </code></pre>
  
  <p>For context, the weight of each edge indicates how many flights occur between two airports, and my issue is that it is unclear which 'routes' are 'busiest' because the irrelevant edges are drawn over the relevant ones. I wish to draw the edges with the highest weight last so that it is clear which are the 'busiest flight routes' in the network.</p>