.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "_examples/02_simple_inversion/plot_10_generating_decouplings.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        :ref:`Go to the end <sphx_glr_download__examples_02_simple_inversion_plot_10_generating_decouplings.py>`
        to download the full example code.

.. rst-class:: sphx-glr-example-title

.. _sphx_glr__examples_02_simple_inversion_plot_10_generating_decouplings.py:


Generating regularization decouplins
====================================

.. GENERATED FROM PYTHON SOURCE LINES 8-9

Imports

.. GENERATED FROM PYTHON SOURCE LINES 9-15

.. code-block:: Python

    import crtomo
    import numpy as np
    import matplotlib.pylab as plt
    # this import is only required to plot directly into the output directory
    import reda








.. GENERATED FROM PYTHON SOURCE LINES 16-19

.. code-block:: Python

    mesh = crtomo.crt_grid.create_surface_grid(20, spacing=1, debug=True)
    tdm = crtomo.tdMan(grid=mesh)





.. rst-class:: sphx-glr-script-out

 .. code-block:: none

    This grid was sorted using CutMcK. The nodes were resorted!
    Triangular grid found




.. GENERATED FROM PYTHON SOURCE LINES 20-37

.. code-block:: Python

    path_info1 = tdm.grid.determine_path_along_nodes(
        [0, 0],
        [20, -2],
    )
    decouplings1 = np.hstack(
        (path_info1[:, 2:4], np.ones(path_info1.shape[0])[:, np.newaxis])
    )

    path_info2 = tdm.grid.determine_path_along_nodes(
        [-6, -4],
        [20, -8],
    )
    decouplings2 = np.hstack(
        (path_info2[:, 2:4], np.ones(path_info2.shape[0])[:, np.newaxis] * 0.5)
    )
    tdm.add_to_decouplings(decouplings1)
    tdm.add_to_decouplings(decouplings2)







.. GENERATED FROM PYTHON SOURCE LINES 38-39

Decouplings can now be accessed as a numpy array:

.. GENERATED FROM PYTHON SOURCE LINES 39-41

.. code-block:: Python

    print(tdm.decouplings.shape)





.. rst-class:: sphx-glr-script-out

 .. code-block:: none

    (210, 3)




.. GENERATED FROM PYTHON SOURCE LINES 42-57

.. code-block:: Python

    fig, ax = plt.subplots()
    mesh.plot_grid_to_ax(ax)
    tdm.plot_decouplings_to_ax(ax, True)
    ax.plot([0, 20], [0, -2], color='yellow', label='input polygon 1')
    ax.plot([-6, 20], [-4, -8], color='yellow', label='input polygon 2')
    ax.set_title(
        'Generating decouplings from polygons',
        loc='left',
    )
    ax.legend(
        facecolor='white',
        framealpha=1,
    )
    with reda.CreateEnterDirectory('out_10'):
        fig.savefig('decouplings_from_polygon.jpg', dpi=300, bbox_inches='tight')



.. image-sg:: /_examples/02_simple_inversion/images/sphx_glr_plot_10_generating_decouplings_001.png
   :alt: Generating decouplings from polygons
   :srcset: /_examples/02_simple_inversion/images/sphx_glr_plot_10_generating_decouplings_001.png
   :class: sphx-glr-single-img


.. rst-class:: sphx-glr-script-out

 .. code-block:: none

    /home/runner/work/crtomo_tools/crtomo_tools/examples/02_simple_inversion/plot_10_generating_decouplings.py:56: UserWarning: Creating legend with loc="best" can be slow with large amounts of data.
      fig.savefig('decouplings_from_polygon.jpg', dpi=300, bbox_inches='tight')
    /home/runner/work/crtomo_tools/crtomo_tools/examples/02_simple_inversion/plot_10_generating_decouplings.py:56: UserWarning: Creating legend with loc="best" can be slow with large amounts of data.
      fig.savefig('decouplings_from_polygon.jpg', dpi=300, bbox_inches='tight')





.. rst-class:: sphx-glr-timing

   **Total running time of the script:** (0 minutes 18.075 seconds)


.. _sphx_glr_download__examples_02_simple_inversion_plot_10_generating_decouplings.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: plot_10_generating_decouplings.ipynb <plot_10_generating_decouplings.ipynb>`

    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: plot_10_generating_decouplings.py <plot_10_generating_decouplings.py>`

    .. container:: sphx-glr-download sphx-glr-download-zip

      :download:`Download zipped: plot_10_generating_decouplings.zip <plot_10_generating_decouplings.zip>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_