.. only:: html

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

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

    .. _sphx_glr_auto_examples_plot_choropleth_map_unemployment_by_state.py:


Unemployment rate by state
==========================

In this example we'll visualize the most recent data on
brazilian unemployment per state.

Let's again retrieve the data with the `seriesbr <seriesbr.readthedocs.io>`_ package.


.. code-block:: default


    from seriesbr import ibge

    df = ibge.get_series(
        4095, 4099, last_n=1, states=True
    )








Now let's convert this ``DataFrame`` into a ``GeoDataFrame`` after getting the
geometric objects for each state.


.. code-block:: default


    import geopandas as gpd
    from mapsbr import ibgemaps

    df = df.assign(geometry=ibgemaps.geocode(df["Unidade da Federação (Código)"]))
    gdf = gpd.GeoDataFrame(df)









Now let's plot it.


.. code-block:: default


    import matplotlib.pyplot as plt

    fig, ax = plt.subplots()
    ax.axis("off")

    gdf.plot(column="Valor", cmap="OrRd", legend=True, ax=ax)
    plt.show()



.. image:: /auto_examples/images/sphx_glr_plot_choropleth_map_unemployment_by_state_001.png
    :class: sphx-glr-single-img






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

   **Total running time of the script:** ( 0 minutes  10.393 seconds)

**Estimated memory usage:**  9 MB


.. _sphx_glr_download_auto_examples_plot_choropleth_map_unemployment_by_state.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_choropleth_map_unemployment_by_state.py <plot_choropleth_map_unemployment_by_state.py>`



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

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


.. only:: html

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

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