.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "auto_probabilistic_modeling/copulas/plot_extract_copula.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html .. note:: :class: sphx-glr-download-link-note :ref:`Go to the end ` to download the full example code .. rst-class:: sphx-glr-example-title .. _sphx_glr_auto_probabilistic_modeling_copulas_plot_extract_copula.py: Extract the copula from a distribution ====================================== .. GENERATED FROM PYTHON SOURCE LINES 6-8 In this example we are going to retrieve the copula from a multidimensional distribution. .. GENERATED FROM PYTHON SOURCE LINES 10-14 .. code-block:: Python import openturns as ot ot.Log.Show(ot.Log.NONE) .. GENERATED FROM PYTHON SOURCE LINES 15-16 create a multivariate gaussian distribution .. GENERATED FROM PYTHON SOURCE LINES 16-23 .. code-block:: Python mu = [0.0] * 2 sigma = [1.0] * 2 R = ot.CorrelationMatrix(2) R[0, 1] = 0.25 distribution = ot.Normal(mu, sigma, R) print(distribution) .. rst-class:: sphx-glr-script-out .. code-block:: none Normal(mu = [0,0], sigma = [1,1], R = [[ 1 0.25 ] [ 0.25 1 ]]) .. GENERATED FROM PYTHON SOURCE LINES 24-25 extract the copula .. GENERATED FROM PYTHON SOURCE LINES 25-27 .. code-block:: Python copula = distribution.getCopula() print(copula) .. rst-class:: sphx-glr-script-out .. code-block:: none NormalCopula(R = [[ 1 0.25 ] [ 0.25 1 ]]) .. _sphx_glr_download_auto_probabilistic_modeling_copulas_plot_extract_copula.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: plot_extract_copula.ipynb ` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: plot_extract_copula.py `