code: def quickVisual(G, showLabel = False):
      
      colours = "brcmykwg"
      f = plt.figure(1)
      ax = f.add_subplot(1,1,1)
      ndTypes = []
      ndColours = []
      layout = nx.spring_layout(G, k = 4 / math.sqrt(len(G.nodes())))
      for nd in G.nodes(data = True):
          if 'type' in nd[1]:
              if nd[1]['type'] not in ndTypes:
                  ndTypes.append(nd[1]['type'])
              ndColours.append(colours[ndTypes.index(nd[1]['type']) % len(colours)])
          elif len(ndColours) > 1:
              raise RuntimeError("Some nodes do not have a type")
      if len(ndColours) < 1:
          nx.draw_networkx_nodes(G, pos = layout, node_color = colours[0], node_shape = '8', node_size = 100, ax = ax)
      else:
          nx.draw_networkx_nodes(G, pos = layout, node_color = ndColours, node_shape = '8', node_size = 100, ax = ax)
      nx.draw_networkx_edges(G, pos = layout, width = .7, ax = ax)
      if showLabel:
          nx.draw_networkx_labels(G, pos = layout, font_size = 8, ax = ax)
      plt.axis('off')
      f.set_facecolor('w')
docs: Just makes a simple _matplotlib_ figure and displays it, with each node coloured by its type. You can add labels with _showLabel_. This looks a bit nicer than the one provided my _networkx_'s defaults.
  
      # Parameters
  
      _showLabel_ : `optional [bool]`
  
      > Default `False`, if `True` labels will be added to the nodes giving their IDs.