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

    Click :ref:`here <sphx_glr_download_auto_examples_plot_combining_maps.py>` to download the full example code
.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_plot_combining_maps.py:


Combining Maps
==============

In this example we'll show how to combine maps in order to get a more detailed
view of Brazil.

A way to plot multiple polygons on top of another is to first plot the more
detailed map, e.g., with states, and then plot on top of it the more aggregated
map, e.g., with macroregions only, with some transparency.


.. code-block:: default


    from mapsbr import ibgemaps

    states = ibgemaps.get_map("BR", including="states")
    macroregions = ibgemaps.get_map("BR", including="macroregions")

    ax = states.plot(color="white", edgecolor="gray")
    macroregions.plot(color="white", edgecolor="midnightblue", alpha=.5, ax=ax)
    ax.axis("off")



.. image:: /auto_examples/images/sphx_glr_plot_combining_maps_001.png
    :class: sphx-glr-single-img


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

 Out:

 .. code-block:: none


    (-76.25719638750002, -26.577751022500017, -35.70252919050001, 7.2289130005)




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

   **Total running time of the script:** ( 0 minutes  3.394 seconds)

**Estimated memory usage:**  89 MB


.. _sphx_glr_download_auto_examples_plot_combining_maps.py:


.. only :: html

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



  .. container:: sphx-glr-download

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



  .. container:: sphx-glr-download

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


.. only:: html

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

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