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

.. only:: html

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

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

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

.. _sphx_glr_examples_virtual_imaging_creating_a_segmented_detector.py:


=============================
Creating a Segmented Detector
=============================

In this example we will show how to create virtual images for a segmented-like detector.

This is helpful for basic mapping of orientation etc. in a diffraction pattern and can be useful
for a first look at the data.

.. GENERATED FROM PYTHON SOURCE LINES 11-39

.. code-block:: Python


    import pyxem as pxm
    from pyxem.utils._azimuthal_integrations import _get_control_points
    import numpy as np
    import hyperspy.api as hs


    dp = pxm.data.tilt_boundary_data()
    dp.calibration.center = None  # Center the diffraction patterns
    dp.calibration.scale = 0.1  # Scale the diffraction patterns in reciprocal space


    # Visualizing the virtual detector
    cp = _get_control_points(
        1,
        npt_azim=8,
        radial_range=(1, 5),
        azimuthal_range=(-np.pi, np.pi),
        affine=dp.calibration.affine,
    )[:, :, ::-1]
    poly = hs.plot.markers.Polygons(verts=cp, edgecolor="w", facecolor="none")
    dp.plot()
    dp.add_marker(poly)
    pos = np.mean(cp, axis=1)
    texts = np.arange(len(pos)).astype(str)
    texts = hs.plot.markers.Texts(offsets=pos, texts=texts, color="w")
    dp.add_marker(texts)




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


    *

      .. image-sg:: /examples/virtual_imaging/images/sphx_glr_creating_a_segmented_detector_001.png
         :alt: creating a segmented detector
         :srcset: /examples/virtual_imaging/images/sphx_glr_creating_a_segmented_detector_001.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /examples/virtual_imaging/images/sphx_glr_creating_a_segmented_detector_002.png
         :alt:  Signal
         :srcset: /examples/virtual_imaging/images/sphx_glr_creating_a_segmented_detector_002.png
         :class: sphx-glr-multi-img





.. GENERATED FROM PYTHON SOURCE LINES 40-45

.. code-block:: Python


    az = dp.get_azimuthal_integral2d(npt=1, npt_azim=8, radial_range=(2, 5))

    az.T.plot()




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


    *

      .. image-sg:: /examples/virtual_imaging/images/sphx_glr_creating_a_segmented_detector_003.png
         :alt: creating a segmented detector
         :srcset: /examples/virtual_imaging/images/sphx_glr_creating_a_segmented_detector_003.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /examples/virtual_imaging/images/sphx_glr_creating_a_segmented_detector_004.png
         :alt:  Signal
         :srcset: /examples/virtual_imaging/images/sphx_glr_creating_a_segmented_detector_004.png
         :class: sphx-glr-multi-img


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

 .. code-block:: none


    [                                        ] | 0% Completed | 139.80 us
    [########################################] | 100% Completed | 100.47 ms




.. GENERATED FROM PYTHON SOURCE LINES 46-48

sphinx_gallery_thumbnail_number = 2
%%


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

   **Total running time of the script:** (0 minutes 1.858 seconds)


.. _sphx_glr_download_examples_virtual_imaging_creating_a_segmented_detector.py:

.. only:: html

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

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

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

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

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


.. only:: html

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

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