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

.. only:: html

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

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

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

.. _sphx_glr_gallery_plot_minard_napoleon_russia.py:


Sankey of Napoleon's march on Moscow with custom colormap
=========================================================

This example reproduces a famous historical flow map: Charles Joseph Minard's map depicting
Napoleon's disastrously costly 1812 march on Russia during the Napoleonic Wars.

This plot demonstrates building and using a custom ``matplotlib`` colormap. To learn more refer to
`the matplotlib documentation
<https://matplotlib.org/gallery/images_contours_and_fields/custom_cmap.html>`_.

`Click here <https://bl.ocks.org/ResidentMario/ac2db57d1c6652ddbc4112a3d318c746>`_ to see an
interactive scrolly-panny version of this webmap built with ``mplleaflet``. To learn more about
``mplleaflet``, refer to `the mplleaflet GitHub repo <https://github.com/jwass/mplleaflet>`_.

.. GENERATED FROM PYTHON SOURCE LINES 16-38



.. image:: /gallery/images/sphx_glr_plot_minard_napoleon_russia_001.png
    :alt: plot minard napoleon russia
    :class: sphx-glr-single-img


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

 Out:

 .. code-block:: none


    <AxesSubplot:>





|

.. code-block:: default


    import geopandas as gpd
    import geoplot as gplt
    from matplotlib.colors import LinearSegmentedColormap

    napoleon_troop_movements = gpd.read_file(gplt.datasets.get_path('napoleon_troop_movements'))

    colors = [(215 / 255, 193 / 255, 126 / 255), (37 / 255, 37 / 255, 37 / 255)]
    cm = LinearSegmentedColormap.from_list('minard', colors)

    gplt.sankey(
        napoleon_troop_movements,
        scale='survivors', limits=(0.5, 45),
        hue='direction',
        cmap=cm
    )

    # Uncomment and run the following lines of code to save as an interactive webmap.
    # import matplotlib.pyplot as plt
    # import mplleaflet
    # fig = plt.gcf()
    # mplleaflet.save_html(fig, fileobj='minard-napoleon-russia.html')


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

   **Total running time of the script:** ( 0 minutes  0.211 seconds)


.. _sphx_glr_download_gallery_plot_minard_napoleon_russia.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_minard_napoleon_russia.py <plot_minard_napoleon_russia.py>`



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

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


.. only:: html

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

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