code: def test_mixeddata_cdf(self, data_predict=None):
      dens = nparam.KDEMultivariate(
          data=[self.Italy_gdp, self.oecd], var_type="cu", bw="cv_ml"
      )
      sm_result = dens.cdf()[0:5]
      R_result = [
          0.54700010,
          0.65907039,
          0.89676865,
          0.74132941,
          0.25291361,
      ]
      npt.assert_allclose(sm_result, R_result, atol=1e-3)
  
imports: import numpy
  import numpy.testing
  import pytest
  from numpy.testing import assert_allclose, assert_equal
  import statsmodels.api
label_desc: Use image node_id 8 for calling the TestKDEMultivariate obj's underlying member method code with example usage: obj.test_mixeddata_cdf(data_predict) without return types