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

.. only:: html

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

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

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

.. _sphx_glr_gallery_basic_plot_dag.py:


Directed Acyclic Graph
======================

This example demonstrates how to create a random directed acyclic graph (DAG) and how to use `igraph` layouts based on strings.

.. GENERATED FROM PYTHON SOURCE LINES 7-37



.. image-sg:: /gallery/basic/images/sphx_glr_plot_dag_001.png
   :alt: plot dag
   :srcset: /gallery/basic/images/sphx_glr_plot_dag_001.png
   :class: sphx-glr-single-img


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

 .. code-block:: none


    [<iplotx.network.NetworkArtist object at 0x7dd20112f890>]





|

.. code-block:: Python


    import random
    import igraph as ig
    import iplotx as ipx


    # First, we set a random seed for reproducibility.
    random.seed(0)

    # We generate a random undirected graph with a fixed number of edges, without loops.
    g = ig.Graph.Erdos_Renyi(n=15, m=30, directed=False, loops=False)

    # Then we convert it to a DAG *in place* and replot it:
    g.to_directed(mode="acyclic")

    ipx.plot(
        g,
        layout="sugiyama",
        style={
            "vertex": {
                "size": 15,
                "facecolor": "grey",
                "edgecolor": "black",
            },
            "edge": {
                "color": "#222",
                "linewidth": 1,
            },
        },
    )


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

   **Total running time of the script:** (0 minutes 0.058 seconds)


.. _sphx_glr_download_gallery_basic_plot_dag.py:

.. only:: html

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

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

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

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

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

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

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


.. only:: html

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

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