.. only:: html

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

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

    .. _sphx_glr_auto_examples_plot_rio_de_janeiro_districts.py:


Rio de Janeiro (city) districts
===============================

This example will explore the case of getting data from another
ArcGIS server.

We will use a `server <https://pgeo3.rio.rj.gov.br/arcgis/rest/services/>`__ that
provides data on the city of Rio de Janeiro. Let's, for example, plot the district
divisions.


.. code-block:: default


    from mapsbr import arcgis

    districts = arcgis.get_map(
        service="Basicos/mapa_basico_UTM",
        layer=15,
        baseurl="https://pgeo3.rio.rj.gov.br/arcgis/rest/services/",
    )

    import matplotlib.pyplot as plt

    districts.plot(color="w", edgecolor="steelblue")
    plt.title("Rio de Janeiro city districts")
    plt.gca().axis("off")




.. image:: /auto_examples/images/sphx_glr_plot_rio_de_janeiro_districts_001.png
    :class: sphx-glr-single-img


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

 Out:

 .. code-block:: none


    (-43.83036038458216, -43.06193412774771, -23.09973631742922, -22.72917666587355)



.. note:

   This function unfortunately is considerably unreliable and only tested
   in these two hosts. I'll surely put some work on improving it.

From the same service, you could also plot some interesting things like
the geographical distribution of municipal hospitals.


.. code-block:: default


    rj_districts = districts.plot(color="w", edgecolor="steelblue")

    arcgis.get_map(
        service="Basicos/mapa_basico_UTM",
        layer=7,
        baseurl="https://pgeo3.rio.rj.gov.br/arcgis/rest/services/",
    ).plot(ax=rj_districts, color="black", marker="x", markersize=10)

    plt.gca().axis("off")
    plt.title("Municipal hospitals in Rio de Janeiro")



.. image:: /auto_examples/images/sphx_glr_plot_rio_de_janeiro_districts_002.png
    :class: sphx-glr-single-img


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

 Out:

 .. code-block:: none


    Text(0.5, 1.0, 'Municipal hospitals in Rio de Janeiro')




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

   **Total running time of the script:** ( 0 minutes  4.903 seconds)

**Estimated memory usage:**  24 MB


.. _sphx_glr_download_auto_examples_plot_rio_de_janeiro_districts.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_rio_de_janeiro_districts.py <plot_rio_de_janeiro_districts.py>`



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

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


.. only:: html

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

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