code: def testCalculateMatrixDistanceAsNumPyWithNan(self):
      data = numpy.array([[0], [2], [numpy.nan]])
      matrix_expected = [
          [0.0, 2.0, numpy.nan],
          [2.0, 0.0, numpy.nan],
          [numpy.nan, numpy.nan, numpy.nan],
      ]
      self.templateCalculateMatrixDistance(data, matrix_expected)
  
imports: import unittest
  import matplotlib
  import numpy
  from pyclustering.cluster.kmeans import kmeans
  from pyclustering.cluster.center_initializer import kmeans_plusplus_initializer
  import pyclustering.utils
  from pyclustering.utils import euclidean_distance
  from pyclustering.utils import average_neighbor_distance
  from pyclustering.utils import read_sample
  from pyclustering.utils import data_corners
  from pyclustering.utils import norm_vector
  from pyclustering.utils import rgb2gray
  from pyclustering.utils import extract_number_oscillations
  from pyclustering.utils import draw_clusters
  from pyclustering.samples.definitions import SIMPLE_SAMPLES, IMAGE_SIMPLE_SAMPLES
label_desc: Use image node_id 37 for calling the Test obj's underlying member method code with example usage: obj.testCalculateMatrixDistanceAsNumPyWithNan() without return types