.. _sphx_glr_examples_plot_regions.py:


==================
Plot Regional Data
==================





.. image:: /examples/images/sphx_glr_plot_regions_001.png
    :align: center


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

 Out::

    model scenario region       variable       unit  year     value
    0  MESSAGE-GLOBIOM  SSP2-26    ABW  Emissions|CO2  Mt CO2/yr  2050   159.556
    1  MESSAGE-GLOBIOM  SSP2-26    AFG  Emissions|CO2  Mt CO2/yr  2050  5874.171
    2  MESSAGE-GLOBIOM  SSP2-26    AGO  Emissions|CO2  Mt CO2/yr  2050  3111.971
    3  MESSAGE-GLOBIOM  SSP2-26    AIA  Emissions|CO2  Mt CO2/yr  2050   159.556
    4  MESSAGE-GLOBIOM  SSP2-26    ALA  Emissions|CO2  Mt CO2/yr  2050  5387.476




|


.. code-block:: python

    import cartopy
    import pyam

    import matplotlib.pyplot as plt

    fname = 'data.csv'

    df = pyam.IamDataFrame(fname, encoding='ISO-8859-1')

    df = (df
          .filter({'variable': 'Emissions|CO2', 'year': 2050})
          .filter({'region': 'World'}, keep=False)
          .map_regions('iso', region_col='R5_region')
          )

    print(df.head())

    df.region_plot(crs=cartopy.crs.Robinson())

    plt.show()

**Total running time of the script:** ( 0 minutes  0.336 seconds)



.. only :: html

 .. container:: sphx-glr-footer


  .. container:: sphx-glr-download

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



  .. container:: sphx-glr-download

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


.. only:: html

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

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