.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "_examples/01_modelling/plot_07_fwd_model_plotting.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

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

        :ref:`Go to the end <sphx_glr_download__examples_01_modelling_plot_07_fwd_model_plotting.py>`
        to download the full example code.

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

.. _sphx_glr__examples_01_modelling_plot_07_fwd_model_plotting.py:


Plot forward models
^^^^^^^^^^^^^^^^^^^

Test plotting forward models for different mesh boundaries.

.. GENERATED FROM PYTHON SOURCE LINES 11-12

imports

.. GENERATED FROM PYTHON SOURCE LINES 12-15

.. code-block:: Python

    import numpy as np
    import crtomo








.. GENERATED FROM PYTHON SOURCE LINES 16-17

set up plotting facilities - this will often generate better fitting plots

.. GENERATED FROM PYTHON SOURCE LINES 17-20

.. code-block:: Python

    import crtomo.mpl
    crtomo.mpl.setup()








.. GENERATED FROM PYTHON SOURCE LINES 21-22

a surface grid

.. GENERATED FROM PYTHON SOURCE LINES 22-36

.. code-block:: Python

    grid = crtomo.crt_grid.create_surface_grid(nr_electrodes=15, spacing=1)
    grid.plot_grid()
    frequencies = np.logspace(-3, 3, 10)
    eitman = crtomo.eitMan(frequencies=frequencies, grid=grid)
    eitman.add_homogeneous_model(magnitude=100, phase=0)
    eitman.set_area_to_single_colecole(
        0, 5, -2, 0,
        [100, 0.1, 0.04, 0.8]
    )
    r = eitman.plot_forward_models(maglim=[90, 110], phalim=[-30, 0])

    # save to files
    r['rpha']['fig'].savefig('fwd_model_par_rpha.png', dpi=300)




.. rst-class:: sphx-glr-horizontal


    *

      .. image-sg:: /_examples/01_modelling/images/sphx_glr_plot_07_fwd_model_plotting_001.png
         :alt: plot 07 fwd model plotting
         :srcset: /_examples/01_modelling/images/sphx_glr_plot_07_fwd_model_plotting_001.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /_examples/01_modelling/images/sphx_glr_plot_07_fwd_model_plotting_002.png
         :alt: 0.001 Hz, 0.005 Hz, 0.022 Hz, 0.100 Hz, 0.464 Hz, 2.154 Hz, 10.000 Hz, 46.416 Hz, 215.443 Hz, 1000.000 Hz
         :srcset: /_examples/01_modelling/images/sphx_glr_plot_07_fwd_model_plotting_002.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /_examples/01_modelling/images/sphx_glr_plot_07_fwd_model_plotting_003.png
         :alt: 0.001 Hz, 0.005 Hz, 0.022 Hz, 0.100 Hz, 0.464 Hz, 2.154 Hz, 10.000 Hz, 46.416 Hz, 215.443 Hz, 1000.000 Hz
         :srcset: /_examples/01_modelling/images/sphx_glr_plot_07_fwd_model_plotting_003.png
         :class: sphx-glr-multi-img


.. 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 37-38

a rhizotron

.. GENERATED FROM PYTHON SOURCE LINES 38-53

.. code-block:: Python

    grid = crtomo.crt_grid('grid_rhizotron/elem.dat', 'grid_rhizotron/elec.dat')

    grid.plot_grid()
    frequencies = np.logspace(-3, 3, 10)
    eitman = crtomo.eitMan(frequencies=frequencies, grid=grid)
    eitman.add_homogeneous_model(magnitude=100, phase=0)
    eitman.set_area_to_single_colecole(
        0, 5, -2, 0,
        [100, 0.1, 0.04, 0.8]
    )
    r = eitman.plot_forward_models(maglim=[90, 110], phalim=[-30, 0])

    # save to files
    # r['rpha']['fig'].savefig('fwd_model_par_rpha.png', dpi=300)
    # sphinx_gallery_thumbnail_number = -1



.. rst-class:: sphx-glr-horizontal


    *

      .. image-sg:: /_examples/01_modelling/images/sphx_glr_plot_07_fwd_model_plotting_004.png
         :alt: plot 07 fwd model plotting
         :srcset: /_examples/01_modelling/images/sphx_glr_plot_07_fwd_model_plotting_004.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /_examples/01_modelling/images/sphx_glr_plot_07_fwd_model_plotting_005.png
         :alt: 0.001 Hz, 0.005 Hz, 0.022 Hz, 0.100 Hz, 0.464 Hz, 2.154 Hz, 10.000 Hz, 46.416 Hz, 215.443 Hz, 1000.000 Hz
         :srcset: /_examples/01_modelling/images/sphx_glr_plot_07_fwd_model_plotting_005.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /_examples/01_modelling/images/sphx_glr_plot_07_fwd_model_plotting_006.png
         :alt: 0.001 Hz, 0.005 Hz, 0.022 Hz, 0.100 Hz, 0.464 Hz, 2.154 Hz, 10.000 Hz, 46.416 Hz, 215.443 Hz, 1000.000 Hz
         :srcset: /_examples/01_modelling/images/sphx_glr_plot_07_fwd_model_plotting_006.png
         :class: sphx-glr-multi-img


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

 .. code-block:: none

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





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

   **Total running time of the script:** (0 minutes 19.639 seconds)


.. _sphx_glr_download__examples_01_modelling_plot_07_fwd_model_plotting.py:

.. only:: html

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

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

      :download:`Download Jupyter notebook: plot_07_fwd_model_plotting.ipynb <plot_07_fwd_model_plotting.ipynb>`

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

      :download:`Download Python source code: plot_07_fwd_model_plotting.py <plot_07_fwd_model_plotting.py>`

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

      :download:`Download zipped: plot_07_fwd_model_plotting.zip <plot_07_fwd_model_plotting.zip>`


.. only:: html

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

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