.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/spatial/ctx_2n.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

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

        :ref:`Go to the end <sphx_glr_download_auto_examples_spatial_ctx_2n.py>`
        to download the full example code

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

.. _sphx_glr_auto_examples_spatial_ctx_2n.py:


Spatial networks: 4x3 grid with pyramidal cells and interneurons
----------------------------------------------------------------

.. only:: html

----

 Run this example as a Jupyter notebook:

  .. card::
    :width: 25%
    :margin: 2
    :text-align: center
    :link: https://lab.ebrains.eu/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgithub.com%2Fnest%2Fnest-simulator-examples&urlpath=lab%2Ftree%2Fnest-simulator-examples%2Fnotebooks%2Fnotebooks%2Fspatial%2Fctx_2n.ipynb&branch=main
    :link-alt: JupyterHub service

    .. image:: https://nest-simulator.org/TryItOnEBRAINS.png


.. grid:: 1 1 1 1
   :padding: 0 0 2 0

   .. grid-item::
     :class: sd-text-muted
     :margin: 0 0 3 0
     :padding: 0 0 3 0
     :columns: 4

     See :ref:`our guide <run_jupyter>` for more information and troubleshooting.

----


Create a 4x3 grid with one pyramidal cell and one interneuron at each position.

BCCN Tutorial @ CNS*09
Hans Ekkehard Plesser, UMB

.. GENERATED FROM PYTHON SOURCE LINES 31-79

.. code-block:: Python


    import matplotlib.pyplot as plt
    import nest
    import numpy as np

    nest.ResetKernel()

    nest.CopyModel("iaf_psc_alpha", "pyr")
    nest.CopyModel("iaf_psc_alpha", "in")

    pos = nest.spatial.grid(shape=[4, 3], extent=[2.0, 1.5])

    ctx_pyr = nest.Create("pyr", positions=pos)
    ctx_in = nest.Create("in", positions=pos)

    nest.PrintNodes()

    # extract position information
    ppyr = nest.GetPosition(ctx_pyr)
    pin = nest.GetPosition(ctx_in)

    ppyr_x = np.array([x for x, y in ppyr])
    ppyr_y = np.array([y for x, y in ppyr])

    pin_x = np.array([x for x, y in pin])
    pin_y = np.array([y for x, y in pin])

    # plot
    plt.clf()
    plt.plot(pin_x - 0.05, ppyr_y - 0.05, "bo", markersize=20, label="Pyramidal", zorder=2)
    plt.plot(pin_x + 0.05, pin_y + 0.05, "ro", markersize=20, label="Interneuron", zorder=2)
    plt.plot(
        pin_x, ppyr_y, "o", markerfacecolor=(0.7, 0.7, 0.7), markersize=60, markeredgewidth=0, zorder=1, label="_nolegend_"
    )

    # beautify
    plt.axis([-1.0, 1.0, -1.0, 1.0])
    plt.axes().set_aspect("equal", "box")
    plt.axes().set_xticks((-0.75, -0.25, 0.25, 0.75))
    plt.axes().set_yticks((-0.5, 0, 0.5))
    plt.grid(True)
    plt.xlabel("4 Columns, Extent: 1.5")
    plt.ylabel("3 Rows, Extent: 1.0")
    plt.legend(numpoints=1)

    plt.show()

    # plt.savefig('ctx_2n.png')


.. _sphx_glr_download_auto_examples_spatial_ctx_2n.py:

.. only:: html

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

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

      :download:`Download Jupyter notebook: ctx_2n.ipynb <ctx_2n.ipynb>`

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

      :download:`Download Python source code: ctx_2n.py <ctx_2n.py>`


.. only:: html

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

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