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

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

.. _sphx_glr_gallery_network_science_plot_company_structure.py:


Company structure
=================

This example shows how to use `iplotx` to visualise simple logical relationships, for instance the organisational chart of a company.

.. GENERATED FROM PYTHON SOURCE LINES 7-51

.. code-block:: Python


    import networkx as nx
    import matplotlib.pyplot as plt
    import iplotx as ipx

    g = nx.DiGraph()
    g.add_edges_from(
        [
            ("CEO", "Manager 1"),
            ("CEO", "Manager 2"),
            ("CEO", "Manager 3"),
            ("Manager 1", "Employee 1"),
            ("Manager 1", "Employee 2"),
            ("Manager 2", "Employee 3"),
            ("Manager 2", "Employee 4"),
            ("Manager 3", "Employee 4"),
        ]
    )
    layout = {
        "CEO": [0, 0],
        "Manager 1": [1, -1],
        "Manager 2": [1, 0],
        "Manager 3": [1, 1],
        "Employee 1": [2, -1],
        "Employee 2": [2, -0.5],
        "Employee 3": [2, 0],
        "Employee 4": [2, 0.5],
    }
    fig, ax = plt.subplots()
    ipx.network(
        g,
        layout=layout,
        ax=ax,
        vertex_labels=True,
        style="hollow",
        vertex_marker="r",
        edge_ports=[("e", "w")] * 8,
        edge_curved=True,
        edge_tension=[0.65] * 3 + [0.6] * 5,
        margins=(0.08, 0.05),
    )
    # Show the layout top to bottom for clarity
    ax.invert_yaxis()




.. image-sg:: /gallery/network_science/images/sphx_glr_plot_company_structure_001.png
   :alt: plot company structure
   :srcset: /gallery/network_science/images/sphx_glr_plot_company_structure_001.png
   :class: sphx-glr-single-img





.. GENERATED FROM PYTHON SOURCE LINES 52-53

If you prefer a more squared look, you can use S-style waypoints with per-edge offsets:

.. GENERATED FROM PYTHON SOURCE LINES 53-70

.. code-block:: Python


    fig, ax = plt.subplots()
    ipx.network(
        g,
        layout=layout,
        ax=ax,
        vertex_labels=True,
        style="hollow",
        vertex_marker="r",
        edge_ports=[("e", "w")] * 8,
        edge_waypoints="xmidy0,xmidy1",
        edge_offset=[(0, 0)] * 7 + [(0, -6)],
        margins=(0.08, 0.05),
        edge_linestyle=["-"] * 7 + ["--"],
    )
    ax.invert_yaxis()




.. image-sg:: /gallery/network_science/images/sphx_glr_plot_company_structure_002.png
   :alt: plot company structure
   :srcset: /gallery/network_science/images/sphx_glr_plot_company_structure_002.png
   :class: sphx-glr-single-img





.. GENERATED FROM PYTHON SOURCE LINES 71-73

The `offset` edge style bypasses any layout coordinate system and acts in figure points directly.
Combining edge offsets with noncartesian layout coordinate systems (e.g. `polar`) can lead to unexpected results.


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

   **Total running time of the script:** (0 minutes 0.170 seconds)


.. _sphx_glr_download_gallery_network_science_plot_company_structure.py:

.. only:: html

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

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

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

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

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

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

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


.. only:: html

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

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