docstr: Test the evaluate method when the dim's of dataset and points have
  different dimensions.
docstr_tok: ["Test","the","evaluate","method","when","the","dim","'s","of","dataset","and","points","have","different","dimensions","."]
code: def test_evaluate_diff_dim(self):
      """
      Test the evaluate method when the dim's of dataset and points have
      different dimensions.
      """
      x1 = np.arange(3, 10, 2)
      kde = mlab.GaussianKDE(x1)
      x2 = np.arange(3, 12, 2)
      y_expected = [
          0.08797252,
          0.11774109,
          0.11774109,
          0.08797252,
          0.0370153,
      ]
      y = kde.evaluate(x2)
      np.testing.assert_array_almost_equal(y, y_expected, 7)
  
imports: from numpy.testing import assert_allclose, assert_almost_equal, assert_array_equal, assert_array_almost_equal_nulp
  import numpy
  import pytest
  from matplotlib import mlab
label_desc: Use image node_id 1 for calling the TestGaussianKDEEvaluate obj's underlying member method code with example usage: obj.test_evaluate_diff_dim() without return types