.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/nx_to_grakel.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_nx_to_grakel.py>`
        to download the full example code.

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

.. _sphx_glr_auto_examples_nx_to_grakel.py:


=========================================================
Example of transforming NetworkX graphs to GraKeL graphs.
=========================================================

.. GENERATED FROM PYTHON SOURCE LINES 6-66

.. code-block:: Python


    from __future__ import print_function

    print(__doc__)

    import networkx as nx
    import numpy as np

    from grakelx.utils import graph_from_networkx

    # Creates a list of two simple graphs
    G1 = nx.Graph()
    G1.add_nodes_from([0, 1, 2])
    G1.add_edges_from([(0, 1), (1, 2)])

    G2 = nx.Graph()
    G2.add_nodes_from([0, 1, 2])
    G2.add_edges_from([(0, 1), (0, 2), (1, 2)])

    G_nx = [G1, G2]

    # Transforms list of NetworkX graphs into a list of GraKeL graphs
    G = graph_from_networkx(G_nx)
    print("1 - Simple graphs transformed\n")


    # Creates a list of two node-labeled graphs
    G1 = nx.Graph()
    G1.add_nodes_from([0, 1, 2])
    G1.add_edges_from([(0, 1), (1, 2)])
    nx.set_node_attributes(G1, {0: "a", 1: "b", 2: "a"}, "label")

    G2 = nx.Graph()
    G2.add_nodes_from([0, 1, 2])
    G2.add_edges_from([(0, 1), (0, 2), (1, 2)])
    nx.set_node_attributes(G2, {0: "a", 1: "b", 2: "c"}, "label")

    G_nx = [G1, G2]

    # Transforms list of NetworkX graphs into a list of GraKeL graphs
    G = graph_from_networkx(G_nx, node_labels_tag="label")
    print("2 - Node-labeled graphs transformed\n")


    # Creates a list of two node-attributed graphs
    G1 = nx.Graph()
    G1.add_nodes_from([0, 1, 2])
    G1.add_edges_from([(0, 1), (1, 2)])
    nx.set_node_attributes(G1, {0: np.array([1.1, 0.8]), 1: np.array([0.2, -0.3]), 2: np.array([0.9, 1.0])}, "attributes")

    G2 = nx.Graph()
    G2.add_nodes_from([0, 1, 2])
    G2.add_edges_from([(0, 1), (0, 2), (1, 2)])
    nx.set_node_attributes(G2, {0: np.array([1.8, 0.5]), 1: np.array([-0.1, 0.2]), 2: np.array([2.3, 1.2])}, "attributes")

    G_nx = [G1, G2]

    # Transforms list of NetworkX graphs into a list of GraKeL graphs
    G = graph_from_networkx(G_nx, node_labels_tag="attributes")
    print("3 - Node-attributed graphs transformed")


.. _sphx_glr_download_auto_examples_nx_to_grakel.py:

.. only:: html

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

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

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

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

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

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

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


.. only:: html

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

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