.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "sphinx_gallery_output/plot_03_weighted.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

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

        Click :ref:`here <sphx_glr_download_sphinx_gallery_output_plot_03_weighted.py>`
        to download the full example code

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

.. _sphx_glr_sphinx_gallery_output_plot_03_weighted.py:


Weighted Graphs (1)
===================

Default visualisation for a weighted graph.

.. GENERATED FROM PYTHON SOURCE LINES 8-35

.. code-block:: default


    import matplotlib.pyplot as plt

    from netgraph import Graph

    weighted_cube = [
        (0, 1, -0.1),
        (1, 2, -0.2),
        (2, 3, -0.4),
        (3, 2,  0.0),
        (3, 0, -0.2),
        (4, 5,  0.7),
        (5, 6,  0.9),
        (6, 5, -0.2),
        (6, 7,  0.5),
        (7, 4,  0.1),
        (0, 4,  0.5),
        (1, 5, -0.3),
        (5, 1, -0.4),
        (2, 6,  0.8),
        (3, 7,  0.4)
    ]

    cmap = 'RdGy'
    Graph(weighted_cube, edge_cmap=cmap, edge_width=2., arrows=True)
    plt.show()




.. image-sg:: /sphinx_gallery_output/images/sphx_glr_plot_03_weighted_001.png
   :alt: plot 03 weighted
   :srcset: /sphinx_gallery_output/images/sphx_glr_plot_03_weighted_001.png
   :class: sphx-glr-single-img





.. GENERATED FROM PYTHON SOURCE LINES 36-59

By default, different edge weights are represented by different colors.
The default colormap is :code:`'RdGy'` but any diverging matplotlib colormap can be used:

- :code:`'PiYG'`
- :code:`'PRGn'`
- :code:`'BrBG'`
- :code:`'PuOr'`
- :code:`'RdGy'` (default)
- :code:`'RdBu'`
- :code:`'RdYlBu'`
- :code:`'RdYlGn'`
- :code:`'Spectral'`
- :code:`'coolwarm'`
- :code:`'bwr'`
- :code:`'seismic'`

If edge weights are strictly positive, weights are mapped to the
left hand side of the color map with :code:`vmin=0` and :code:`vmax=np.max(weights)`.
If edge weights are positive and negative, then weights are mapped to colors
such that a weight of zero corresponds to the center of the color map;
the boundaries are set to +/- the maximum absolute weight.

Custom diverging colormaps can be created using matploltib's :code:`LinearSegmentedColormap`:

.. GENERATED FROM PYTHON SOURCE LINES 59-62

.. code-block:: default


    from matplotlib.colors import LinearSegmentedColormap
    cmap = LinearSegmentedColormap.from_list('my_name', ['red', 'white', 'blue'])








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

   **Total running time of the script:** ( 0 minutes  0.132 seconds)


.. _sphx_glr_download_sphinx_gallery_output_plot_03_weighted.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: plot_03_weighted.py <plot_03_weighted.py>`



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

     :download:`Download Jupyter notebook: plot_03_weighted.ipynb <plot_03_weighted.ipynb>`


.. only:: html

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

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