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

.. only:: html

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

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

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

.. _sphx_glr_gallery_graph_structure_plot_layouts.py:


Layouts for topological representations
=======================================

.. GENERATED FROM PYTHON SOURCE LINES 10-134



.. image-sg:: /gallery/graph_structure/images/sphx_glr_plot_layouts_001.png
   :alt: Spring-block layout, Random layout, Circular layout, Spatial layout
   :srcset: /gallery/graph_structure/images/sphx_glr_plot_layouts_001.png
   :class: sphx-glr-single-img


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

 .. code-block:: none

    /home/docs/checkouts/readthedocs.org/user_builds/nngt/checkouts/v2.8.0/doc/examples/graph_structure/plot_layouts.py:132: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.
      plt.tight_layout()






|

.. code-block:: Python


    import os

    import matplotlib as mpl
    import matplotlib.pyplot as plt

    import nngt


    plt.rcParams.update({
        "figure.facecolor": (0, 0, 0, 0),
        "axes.labelcolor": "grey", "text.color": "grey"
    })


    nngt.seed(0)


    # set matplotlib backend depending on the library
    mpl_backend = mpl.get_backend()

    if nngt.get_config("backend") == "graph-tool":
        if mpl_backend.startswith("Qt4"):
            if mpl_backend != "Qt4Cairo":
                plt.switch_backend("Qt4Cairo")
        elif mpl_backend.startswith("Qt5"):
            if mpl_backend != "Qt5Cairo":
                plt.switch_backend("Qt5Cairo")
        elif mpl_backend.startswith("Qt"):
            if mpl_backend != "QtCairo":
                plt.switch_backend("QtCairo")
        elif mpl_backend.startswith("GTK3"):
            if mpl_backend != "GTK3Cairo":
                plt.switch_backend("GTK3Cairo")
        elif mpl_backend.startswith("GTK4"):
            if mpl_backend != "GTK4Cairo":
                plt.switch_backend("GTK4Cairo")
        else:
            plt.switch_backend("cairo")


    # prepare figure and parameters

    fig = plt.figure(figsize=(10, 8), constrained_layout=False)

    gs = fig.add_gridspec(nrows=2, ncols=2, left=0, right=1, bottom=0, top=0.97,
                          wspace=0, hspace=0.05)

    axes = [fig.add_subplot(gs[i, j]) for i in (0, 1) for j in (0, 1)]

    num_nodes = 50


    # spring-block layout for structured graph

    room1 = nngt.Group(10)
    room2 = nngt.Group(20)
    room3 = nngt.Group(20)

    names = ["R1", "R2", "R3"]

    struct = nngt.Structure.from_groups((room1, room2, room3), names)

    g = nngt.Graph(structure=struct)

    for room in struct:
        nngt.generation.connect_groups(g, room, room, "erdos_renyi", avg_deg=5)

    nngt.generation.connect_groups(g, (room1, room2), struct, "erdos_renyi",
                                   avg_deg=3, ignore_invalid=True)

    nngt.generation.connect_groups(g, room3, room1, "erdos_renyi", avg_deg=5)

    nngt.plot.library_draw(g, tight=False, axis=axes[0], ecolor="grey",
                           show=False)

    axes[0].set_title("Spring-block layout")


    # random layout

    sw = nngt.generation.watts_strogatz(4, 0.3, nodes=num_nodes)

    betw = nngt.analysis.betweenness(sw, "node")

    nngt.plot.draw_network(sw, nsize=betw, ncolor="out-degree", axis=axes[1],
                           ecolor="lightgrey", tight=False, colorbar=True,
                           show=False)

    axes[1].set_title("Random layout")


    # circular layout for small-world networks

    nngt.plot.draw_network(sw, nsize=betw, ncolor="out-degree", layout="circular",
                           ecolor="lightgrey", axis=axes[2], colorbar=True,
                           show=False, tight=False)

    axes[2].set_title("Circular layout")


    # spatial layout

    c1 = nngt.geometry.Shape.disk(100)
    c2 = nngt.geometry.Shape.disk(100, centroid=(50, 0))

    shape = nngt.geometry.Shape.from_polygon(c1.union(c2))

    max_nsize = 15
    npos = shape.seed_neurons(num_nodes, soma_radius=0.5*max_nsize)

    g = nngt.generation.distance_rule(10, shape=shape, nodes=num_nodes, avg_deg=5,
                                      positions=npos)

    cc = nngt.analysis.local_clustering(g)

    nngt.plot.draw_network(g, ncolor=cc, axis=axes[3], ecolor="grey", show=False,
                           eborder_width=0.5, eborder_color="w", esize=10,
                           max_nsize=max_nsize, tight=False)

    axes[3].set_title("Spatial layout")

    plt.tight_layout()
    plt.show()


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

   **Total running time of the script:** (0 minutes 2.137 seconds)


.. _sphx_glr_download_gallery_graph_structure_plot_layouts.py:

.. only:: html

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

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

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

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

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


.. only:: html

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

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