code: def test_cmap(self):
      np.random.seed(0)
      clf = PCA()
      clf.fit(self.X)
      fig, ax = plt.subplots(1, 1)
      ax = skplt.plot_pca_2d_projection(
          clf, self.X, self.y, cmap="Spectral"
      )
      ax = skplt.plot_pca_2d_projection(
          clf, self.X, self.y, cmap=plt.cm.Spectral
      )
  
imports: from __future__ import absolute_import
  import unittest
  import scikitplot.plotters
  from sklearn.datasets import load_iris
  from sklearn.decomposition import PCA
  import numpy
  import matplotlib.pyplot
label_desc: Use image node_id 4 for calling the TestPlotPCA2DProjection obj's underlying member method code with example usage: obj.test_cmap() without return types