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

.. only:: html

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

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

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

.. _sphx_glr__gallery_mesh_polygon_animation.py:


Polygon animation
=================

Polygon animation example that changes the polygon data. Random points are generated by sampling from a
2D gaussian and a polygon is updated to visualize a convex hull for the sampled points.

.. GENERATED FROM PYTHON SOURCE LINES 9-76



.. image-sg:: /_gallery/mesh/images/sphx_glr_polygon_animation_001.webp
   :alt: polygon animation
   :srcset: /_gallery/mesh/images/sphx_glr_polygon_animation_001.webp
   :class: sphx-glr-single-img


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

 .. code-block:: none

    /home/runner/work/fastplotlib/fastplotlib/fastplotlib/graphics/features/_base.py:18: UserWarning: casting float64 array to float32
      warn(f"casting {array.dtype} array to float32")







|

.. code-block:: Python


    # test_example = false

    import numpy as np
    from scipy.spatial import ConvexHull
    import fastplotlib as fpl


    def points_to_hull(points) -> np.ndarray:
        hull = ConvexHull(points, qhull_options="Qs")
        return points[hull.vertices]


    figure = fpl.Figure(size=(700, 560))


    cov = np.array([[1, 0], [0, 1]])

    # sample points from a 2d gaussian
    samples1 = np.random.multivariate_normal((0, 0), cov, size=20)
    samples2 = np.random.multivariate_normal((5, 0), cov, size=50)

    # add the convex hull as a polygon
    polygon1 = figure[0, 0].add_polygon(
        points_to_hull(samples1), colors="cyan", alpha=0.7, alpha_mode="blend"
    )
    # add the sampled points
    scatter1 = figure[0, 0].add_scatter(
        samples1, sizes=8, colors="blue", alpha=0.7, alpha_mode="blend"
    )

    # add the second gaussian and convex hull polygon
    polygon2 = figure[0, 0].add_polygon(
        points_to_hull(samples2), colors="magenta", alpha=0.7, alpha_mode="blend"
    )
    scatter2 = figure[0, 0].add_scatter(
        samples2, sizes=8, colors="r", alpha=0.7, alpha_mode="blend"
    )


    def animate():
        # set new scatter data
        scatter1.data[:, :-1] += np.random.normal(0, 0.05, size=samples1.size).reshape(
            samples1.shape
        )
        # set convex hull with new polygon vertices
        polygon1.data = points_to_hull(scatter1.data[:, :-1])

        # set the other scatter and polygon
        scatter2.data[:, :-1] += np.random.normal(0, 0.05, size=samples2.size).reshape(
            samples2.shape
        )
        polygon2.data = points_to_hull(scatter2.data[:, :-1])


    figure.show()
    figure[0, 0].camera.width = 10
    figure[0, 0].camera.height = 10

    figure.add_animations(animate)


    # NOTE: fpl.loop.run() should not be used for interactive sessions
    # See the "JupyterLab and IPython" section in the user guide
    if __name__ == "__main__":
        print(__doc__)
        fpl.loop.run()


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

   **Total running time of the script:** (0 minutes 18.397 seconds)


.. _sphx_glr_download__gallery_mesh_polygon_animation.py:

.. only:: html

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

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

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

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

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


.. only:: html

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

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