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

.. only:: html

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

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

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

.. _sphx_glr_examples_demo_area_chart.py:


====================
Demo area chart
====================

.. GENERATED FROM PYTHON SOURCE LINES 6-49



.. image-sg:: /examples/images/sphx_glr_demo_area_chart_001.png
   :alt: World population
   :srcset: /examples/images/sphx_glr_demo_area_chart_001.png
   :class: sphx-glr-single-img





.. code-block:: Python


    # We start from MPL's stackplot_demo.py.

    import matplotlib.pyplot as plt
    import numpy as np

    # data from United Nations World Population Prospects (Revision 2019)
    # https://population.un.org/wpp/, license: CC BY 3.0 IGO
    year = [1950, 1960, 1970, 1980, 1990, 2000, 2010, 2018]
    population_by_continent = {
        'africa': [228, 284, 365, 477, 631, 814, 1044, 1275],
        'americas': [340, 425, 519, 619, 727, 840, 943, 1006],
        'asia': [1394, 1686, 2120, 2625, 3202, 3714, 4169, 4560],
        'europe': [220, 253, 276, 295, 310, 303, 294, 293],
        'oceania': [12, 15, 19, 22, 26, 31, 36, 39],
    }

    fig, ax = plt.subplots(num=1, clear=True)
    ax.stackplot(year, population_by_continent.values(),
                 labels=population_by_continent.keys(), alpha=0.8)
    ax.legend(loc='upper left', reverse=True)
    ax.set_title('World population')
    ax.set_xlabel('Year')
    ax.set_ylabel('Number of people (millions)')

    ax.set_xlim(1943, 2022)
    ax.set_ylim(-100, 8300)

    # Now we add 3d effects.
    from mpl_poormans_3d import Poormans3d, Poormans3dFace
    from mpl_visual_context.patheffects import Offset

    from matplotlib.colors import LightSource
    ls = LightSource(azdeg=35)

    pe3d = Poormans3d(ls, (-10, 10))
    pe3dface = Poormans3dFace(ls, (0, 0))
    for i, col in enumerate(ax.collections):
        offset = Offset(0, i*5) # we are adding offset between areas.
        col.set_path_effects([offset | pe3d, offset | pe3dface])

    plt.show()



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

   **Total running time of the script:** (0 minutes 0.251 seconds)


.. _sphx_glr_download_examples_demo_area_chart.py:

.. only:: html

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

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

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

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

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


.. only:: html

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

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