.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "sphinx_gallery_output/plot_02_VennDiagram.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

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

        :ref:`Go to the end <sphx_glr_download_sphinx_gallery_output_plot_02_VennDiagram.py>`
        to download the full example code.

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

.. _sphx_glr_sphinx_gallery_output_plot_02_VennDiagram.py:


Venn diagrams
=============

Venn diagrams show all possible relationships of inclusion and exclusion between two or more sets.

The :py:class:`VennDiagram` class supports initialisation from

  - a dictionary mapping subsets to their sizes, and
  - directly from a list of sets.

In the latter case, the subset sizes will be computed internally.

Note that unlike in Euler diagrams, in Venn diagrams, the size of a
subset does not influence the size of the corresponding area in the
visualisation; only the subset labels are adjusted.

.. GENERATED FROM PYTHON SOURCE LINES 20-48



.. image-sg:: /sphinx_gallery_output/images/sphx_glr_plot_02_VennDiagram_001.png
   :alt: plot 02 VennDiagram
   :srcset: /sphinx_gallery_output/images/sphx_glr_plot_02_VennDiagram_001.png
   :class: sphx-glr-single-img





.. code-block:: Python


    import matplotlib.pyplot as plt

    from matplotlib_set_diagrams import VennDiagram

    fig, (ax1, ax2) = plt.subplots(1, 2)

    VennDiagram(
        {
            (1, 0, 0) : 2, # {"a", "b"}
            (0, 1, 0) : 2, # {"e", "f"}
            (0, 0, 1) : 2, # {"h", "i"}
            (1, 1, 0) : 1, # {"c"}
            (1, 0, 1) : 1, # {"d"}
            (0, 1, 1) : 1, # {"g"}
            (1, 1, 1) : 0, # {}
        },
        ax=ax1)

    VennDiagram.from_sets(
        [
            {"a", "b", "c", "d"},
            {"e", "f", "g", "c"},
            {"h", "i", "g", "d"},
        ],
        ax=ax2)

    plt.show()


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

   **Total running time of the script:** (0 minutes 0.476 seconds)


.. _sphx_glr_download_sphinx_gallery_output_plot_02_VennDiagram.py:

.. only:: html

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

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

      :download:`Download Jupyter notebook: plot_02_VennDiagram.ipynb <plot_02_VennDiagram.ipynb>`

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

      :download:`Download Python source code: plot_02_VennDiagram.py <plot_02_VennDiagram.py>`

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

      :download:`Download zipped: plot_02_VennDiagram.zip <plot_02_VennDiagram.zip>`


.. only:: html

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

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