.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "_examples/01_modelling/plot_00_sensitivity.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_00_sensitivity.py>`
        to download the full example code.

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

.. _sphx_glr__examples_01_modelling_plot_00_sensitivity.py:


Plotting sensitivities
^^^^^^^^^^^^^^^^^^^^^^

Sensitivity distributions can be easily plotted using the tdMan class:

.. GENERATED FROM PYTHON SOURCE LINES 10-11

imports

.. GENERATED FROM PYTHON SOURCE LINES 11-16

.. code-block:: Python

    import numpy as np
    import crtomo
    # is only used for reda.CreateEnterDirectory
    import reda








.. GENERATED FROM PYTHON SOURCE LINES 17-18

create and save a FEM-grid

.. GENERATED FROM PYTHON SOURCE LINES 18-31

.. code-block:: Python

    grid = crtomo.crt_grid.create_surface_grid(
        nr_electrodes=10,
        spacing=1,
        depth=4,
        char_lengths=0.2,
    )

    grid.plot_grid()

    with reda.CreateEnterDirectory('output_plot_00_sensitivity'):
        grid.save_elem_file('elem.dat')
        grid.save_elec_file('elec.dat')




.. image-sg:: /_examples/01_modelling/images/sphx_glr_plot_00_sensitivity_001.png
   :alt: plot 00 sensitivity
   :srcset: /_examples/01_modelling/images/sphx_glr_plot_00_sensitivity_001.png
   :class: sphx-glr-single-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 32-33

create the measurement configuration

.. GENERATED FROM PYTHON SOURCE LINES 33-38

.. code-block:: Python

    configs = np.array((
        (1, 4, 10, 7),
    ))









.. GENERATED FROM PYTHON SOURCE LINES 39-40

for different background, plot the sensitivities

.. GENERATED FROM PYTHON SOURCE LINES 40-53

.. code-block:: Python

    for bg in (1, 10, 100, 1000):
        td = crtomo.tdMan(grid=grid)
        td.configs.add_to_configs(configs)
        td.add_homogeneous_model(bg, 0)

        td.model(sensitivities=True, silent=True)
        r = td.plot_sensitivity(0)
        with reda.CreateEnterDirectory('output_plot_00_sensitivity'):
            r[0].savefig('sensitivity_bg_{}.pdf'.format(bg), bbox_inches='tight')
        r = td.plot_sensitivity(0, mag_only=True)
        with reda.CreateEnterDirectory('output_plot_00_sensitivity'):
            r[0].savefig(
                'sensitivity_magonly_bg_{}.pdf'.format(bg), bbox_inches='tight')



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


    *

      .. image-sg:: /_examples/01_modelling/images/sphx_glr_plot_00_sensitivity_002.png
         :alt: plot 00 sensitivity
         :srcset: /_examples/01_modelling/images/sphx_glr_plot_00_sensitivity_002.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /_examples/01_modelling/images/sphx_glr_plot_00_sensitivity_003.png
         :alt: plot 00 sensitivity
         :srcset: /_examples/01_modelling/images/sphx_glr_plot_00_sensitivity_003.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /_examples/01_modelling/images/sphx_glr_plot_00_sensitivity_004.png
         :alt: plot 00 sensitivity
         :srcset: /_examples/01_modelling/images/sphx_glr_plot_00_sensitivity_004.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /_examples/01_modelling/images/sphx_glr_plot_00_sensitivity_005.png
         :alt: plot 00 sensitivity
         :srcset: /_examples/01_modelling/images/sphx_glr_plot_00_sensitivity_005.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /_examples/01_modelling/images/sphx_glr_plot_00_sensitivity_006.png
         :alt: plot 00 sensitivity
         :srcset: /_examples/01_modelling/images/sphx_glr_plot_00_sensitivity_006.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /_examples/01_modelling/images/sphx_glr_plot_00_sensitivity_007.png
         :alt: plot 00 sensitivity
         :srcset: /_examples/01_modelling/images/sphx_glr_plot_00_sensitivity_007.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /_examples/01_modelling/images/sphx_glr_plot_00_sensitivity_008.png
         :alt: plot 00 sensitivity
         :srcset: /_examples/01_modelling/images/sphx_glr_plot_00_sensitivity_008.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /_examples/01_modelling/images/sphx_glr_plot_00_sensitivity_009.png
         :alt: plot 00 sensitivity
         :srcset: /_examples/01_modelling/images/sphx_glr_plot_00_sensitivity_009.png
         :class: sphx-glr-multi-img


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

 .. code-block:: none

    reading sensitivities
    reading sensitivities
    reading sensitivities
    reading sensitivities





.. _sphx_glr_download__examples_01_modelling_plot_00_sensitivity.py:

.. only:: html

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

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

      :download:`Download Jupyter notebook: plot_00_sensitivity.ipynb <plot_00_sensitivity.ipynb>`

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

      :download:`Download Python source code: plot_00_sensitivity.py <plot_00_sensitivity.py>`

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

      :download:`Download zipped: plot_00_sensitivity.zip <plot_00_sensitivity.zip>`


.. only:: html

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

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