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

.. only:: html

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

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

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

.. _sphx_glr_gallery_plot_boxplot.py:


==============
Boxplot charts
==============

.. GENERATED FROM PYTHON SOURCE LINES 7-10

.. code-block:: Python


    # sphinx_gallery_thumbnail_number = 2








.. GENERATED FROM PYTHON SOURCE LINES 11-21

Read in tutorial data and show a summary
****************************************

This gallery uses the scenario data from the first-steps tutorial.

If you haven't cloned the **pyam** GitHub repository to your machine,
you can download the file from
https://github.com/IAMconsortium/pyam/tree/main/docs/tutorials.

Make sure to place the data file in the same folder as this script/notebook.

.. GENERATED FROM PYTHON SOURCE LINES 21-29

.. code-block:: Python


    import matplotlib.pyplot as plt

    import pyam

    df = pyam.IamDataFrame("tutorial_data.csv")
    df





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

 .. code-block:: none


    <class 'pyam.core.IamDataFrame'>
    Index:
     * model    : AIM/CGE 2.1, GENeSYS-MOD 1.0, ... WITCH-GLOBIOM 4.4 (8)
     * scenario : 1.0, CD-LINKS_INDCi, CD-LINKS_NPi, ... Faster Transition Scenario (8)
    Timeseries data coordinates:
       region   : R5ASIA, R5LAM, R5MAF, R5OECD90+EU, R5REF, R5ROWO, World (7)
       variable : ... (6)
       unit     : EJ/yr, Mt CO2/yr, °C (3)
       year     : 2010, 2020, 2030, 2040, 2050, 2060, 2070, 2080, ... 2100 (10)



.. GENERATED FROM PYTHON SOURCE LINES 30-35

A boxplot of CO emissions
*************************

We generate a simple boxplot of CO2 emissions
across one scenario implemented by a range of models.

.. GENERATED FROM PYTHON SOURCE LINES 35-44

.. code-block:: Python


    data = df.filter(
        scenario="CD-LINKS_NPi2020_1000", variable="Emissions|CO2", region="World"
    )

    data.plot.box(x="year")
    plt.tight_layout()
    plt.show()




.. image-sg:: /gallery/images/sphx_glr_plot_boxplot_001.png
   :alt: plot boxplot
   :srcset: /gallery/images/sphx_glr_plot_boxplot_001.png
   :class: sphx-glr-single-img


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

 .. code-block:: none

    /home/docs/checkouts/readthedocs.org/user_builds/pyam-iamc/checkouts/v3.4.0/pyam/plotting.py:727: UserWarning: No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
      ax.legend(loc=2)




.. GENERATED FROM PYTHON SOURCE LINES 45-49

A grouped boxplot
*****************

We can add sub-groupings of the data using the keyword argument `by`.

.. GENERATED FROM PYTHON SOURCE LINES 49-62

.. code-block:: Python


    data = df.filter(
        scenario="CD-LINKS_NPi2020_1000",
        variable="Emissions|CO2",
        year=[2010, 2020, 2030, 2050, 2100],
    ).filter(region="World", keep=False)

    data.plot.box(x="year", by="region", legend=True)

    # We can use matplotlib arguments to make the figure more appealing.
    plt.legend(loc=1)
    plt.tight_layout()
    plt.show()



.. image-sg:: /gallery/images/sphx_glr_plot_boxplot_002.png
   :alt: plot boxplot
   :srcset: /gallery/images/sphx_glr_plot_boxplot_002.png
   :class: sphx-glr-single-img






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

   **Total running time of the script:** (0 minutes 0.359 seconds)


.. _sphx_glr_download_gallery_plot_boxplot.py:

.. only:: html

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

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

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

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

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

    .. container:: sphx-glr-download sphx-glr-download-zip

      :download:`Download zipped: plot_boxplot.zip <plot_boxplot.zip>`


.. only:: html

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

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