docstr: Test scott's output a single-dimensional array.
docstr_tok: ["Test","scott","'s","output","a","single-dimensional","array","."]
code: def test_scott_singledim_dataset(self):
      """Test scott's output a single-dimensional array."""
      x1 = np.array([-7, -5, 1, 4, 5])
      mygauss = mlab.GaussianKDE(x1, "scott")
      y_expected = 0.72477966367769553
      assert_almost_equal(mygauss.covariance_factor(), 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 6 for calling the TestGaussianKDECustom obj's underlying member method code with example usage: obj.test_scott_singledim_dataset() without return types