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

.. only:: html

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

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

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

.. _sphx_glr_gallery_network_science_plot_complex.py:


Complex example
===============

This example from networkx shows how to use complex network properties including edge tension.

.. GENERATED FROM PYTHON SOURCE LINES 7-52



.. image-sg:: /gallery/network_science/images/sphx_glr_plot_complex_001.png
   :alt: plot complex
   :srcset: /gallery/network_science/images/sphx_glr_plot_complex_001.png
   :class: sphx-glr-single-img





.. code-block:: Python


    import networkx as nx
    import matplotlib as mpl
    import matplotlib.pyplot as plt
    import iplotx as ipx
    import itertools as it

    nodes = "ABC"
    prod = list(it.product(nodes, repeat=2)) * 4
    G = nx.MultiDiGraph()
    for i, (u, v) in enumerate(prod):
        G.add_edge(u, v, w=round(i / 3, 2))
    nx.set_node_attributes(G, nx.spring_layout(G, seed=3113794652), "pos")
    csi = it.cycle([5 * r for r in it.accumulate([0.15] * 4)])
    nx.set_edge_attributes(G, {e: next(csi) for e in G.edges(keys=True)}, "tension")
    nx.set_edge_attributes(
        G,
        {tuple(e): w for *e, w in G.edges(keys=True, data="w")},
        "label",
    )

    fig, ax = plt.subplots()
    ipx.plot(
        G,
        ax=ax,
        layout="pos",
        edge_labels=True,
        style={
            "edge": {
                "curved": True,
                "tension": G.edges.data("tension"),
                "color": G.edges.data("w"),
                "cmap": mpl.colormaps["inferno"],
                "linewidth": 1,
                "looptension": 7.5,
                "label": {
                    "color": "black",
                    "bbox": {
                        "facecolor": "none",
                    },
                },
            },
        },
    )
    ax.margins(0.17)


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

   **Total running time of the script:** (0 minutes 0.128 seconds)


.. _sphx_glr_download_gallery_network_science_plot_complex.py:

.. only:: html

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

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

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

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

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

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

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


.. only:: html

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

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