code: def make_plot(self, data, network):
      plt.figure(figsize=(5, 6))
      plt.scatter(*data.T, alpha=0.4)
  
      for node_1, node_2 in network.graph.edges:
          weights = np.concatenate([node_1.weight, node_2.weight])
          (line,) = plt.plot(*weights.T, color="black")
          plt.setp(line, color="black")
  
      plt.show()
  
file_path: neupy/tests/algorithms/competitive/test_growing_neural_gas.py
imports: import pickle
  import numpy
  import matplotlib.pyplot
  from sklearn.datasets import make_blobs
  from neupy import algorithms
  from neupy.algorithms.competitive.growing_neural_gas import NeuralGasGraph, NeuronNode
  from base import BaseTestCase
label_desc: Use image node_id 2 for calling the GrowingNeuralGasTestCase obj's underlying member method code with example usage: obj.make_plot(data, network) without return types