.. 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

        Click :ref:`here <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 6-65

.. code-block:: default

    from __future__ import print_function
    print(__doc__)

    import numpy as np
    import networkx as nx

    from grakel.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")

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

   **Total running time of the script:** ( 0 minutes  0.000 seconds)


.. _sphx_glr_download_auto_examples_nx_to_grakel.py:


.. only :: html

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



  .. 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-jupyter

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


.. only:: html

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

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