docstr: Test scott's output for a multi-dimensional array.
docstr_tok: ["Test","scott","'s","output","for","a","multi-dimensional","array","."]
code: def test_scott_multidim_dataset(self):
      """Test scott's output for a multi-dimensional array."""
      x1 = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
      with pytest.raises(np.linalg.LinAlgError):
          mlab.GaussianKDE(x1, "scott")
  
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 5 for calling the TestGaussianKDECustom obj's underlying member method code with example usage: obj.test_scott_multidim_dataset() without return types