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

.. only:: html

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

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

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

.. _sphx_glr_auto_examples_plot_upset.py:


Upset Plot
===========

IMDB Top 1000 Movies

.. GENERATED FROM PYTHON SOURCE LINES 8-41



.. image-sg:: /auto_examples/images/sphx_glr_plot_upset_001.png
   :alt: plot upset
   :srcset: /auto_examples/images/sphx_glr_plot_upset_001.png, /auto_examples/images/sphx_glr_plot_upset_001_2_00x.png 2.00x
   :class: sphx-glr-single-img


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

 .. code-block:: none

    /home/docs/checkouts/readthedocs.org/user_builds/marsilea/envs/v0.3.2/lib/python3.10/site-packages/marsilea/upset.py:328: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`
      df = pd.DataFrame(sets).fillna(False).astype(int)
    /home/docs/checkouts/readthedocs.org/user_builds/marsilea/envs/v0.3.2/lib/python3.10/site-packages/marsilea/plotter/_seaborn.py:108: FutureWarning: 

    Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.

      plotter(data=pdata, orient=orient, ax=ax, **options)






|

.. code-block:: Python

    from matplotlib import pyplot as plt

    import marsilea as ma
    from marsilea.upset import UpsetData, Upset

    imdb = ma.load_data("imdb")

    items_attrs = (imdb[['Title', 'Year', 'Runtime (Minutes)', 'Rating',
                         'Votes', 'Revenue (Millions)', 'Metascore']]
                   .set_index('Title'))

    upset_data = UpsetData.from_memberships(imdb.Genre.str.split(','),
                                            items_names=imdb['Title'],
                                            items_attrs=items_attrs)

    us = Upset(upset_data, min_cardinality=15)
    us.highlight_subsets(min_cardinality=48, facecolor="#D0104C",
                         label="Larger than 48")
    us.highlight_subsets(min_cardinality=32, edgecolor="green", edgewidth=1.5,
                         label="Larger than 32")
    us.add_items_attr("bottom", "Revenue (Millions)", "strip", pad=.2, size=.5,
                      plot_kws=dict(palette="dark:#24936E", size=1.2, label=""))
    us.add_title(bottom="Revenue (Millions)", fontsize=10)

    us.add_items_attr("top", "Rating", "box",
                      pad=.2,
                      plot_kws=dict(color="orange", linewidth=1, fliersize=1))
    us.add_title(top="Rating", fontsize=10)

    us.add_legends(box_padding=0)
    us.set_margin(.3)
    us.render()
    plt.show()


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

   **Total running time of the script:** (0 minutes 2.695 seconds)


.. _sphx_glr_download_auto_examples_plot_upset.py:

.. only:: html

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

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

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

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

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


.. only:: html

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

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