.. _sphx_glr_gallery_plot_layout_custom.py:


Using a custom layout
=====================

The default layouts available through GraVE may not be sufficient for ones
need. Hence, GraVE also support custom layouts.






.. image:: /gallery/images/sphx_glr_plot_layout_custom_001.png
    :align: center





.. code-block:: python

    import numpy as np
    import networkx as nx
    import matplotlib.pyplot as plt
    from grave import grave


    graph = nx.barbell_graph(10, 14)
    nx.set_node_attributes(graph, dict(graph.degree()), 'degree')


    def random_constrained_layout(networkx):
        """
        Let's build my own layout. It's going to be random, except for a handful
        of points!
        """
        n_nodes = len(graph.nodes.data())
        random_state = np.random.RandomState(seed=0)
        xy = random_state.randn(n_nodes, 2)
        xy[0] = [0, 0]
        xy[10] = [+3, 8]

        return {k: xy[k] for k in graph.nodes.keys()}


    fig, ax = plt.subplots()
    grave.plot_network(graph, ax=ax, layout=random_constrained_layout)

**Total running time of the script:** ( 0 minutes  0.032 seconds)



.. only :: html

 .. container:: sphx-glr-footer


  .. container:: sphx-glr-download

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



  .. container:: sphx-glr-download

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


.. only:: html

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

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