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

.. only:: html

    .. meta::
        :keywords: codex

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

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

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

.. _sphx_glr_gallery_misc_demo_ribbon_box.py:


==========
Ribbon Box
==========

.. GENERATED FROM PYTHON SOURCE LINES 7-95



.. image-sg:: /gallery/misc/images/sphx_glr_demo_ribbon_box_001.png
   :alt: demo ribbon box
   :srcset: /gallery/misc/images/sphx_glr_demo_ribbon_box_001.png, /gallery/misc/images/sphx_glr_demo_ribbon_box_001_2_00x.png 2.00x
   :class: sphx-glr-single-img





.. code-block:: Python


    import matplotlib.pyplot as plt
    import numpy as np

    from matplotlib import cbook
    from matplotlib import colors as mcolors
    from matplotlib.image import AxesImage
    from matplotlib.transforms import Bbox, BboxTransformTo, TransformedBbox


    class RibbonBox:

        original_image = plt.imread(
            cbook.get_sample_data("Minduka_Present_Blue_Pack.png"))
        cut_location = 70
        b_and_h = original_image[:, :, 2:3]
        color = original_image[:, :, 2:3] - original_image[:, :, 0:1]
        alpha = original_image[:, :, 3:4]
        nx = original_image.shape[1]

        def __init__(self, color):
            rgb = mcolors.to_rgb(color)
            self.im = np.dstack(
                [self.b_and_h - self.color * (1 - np.array(rgb)), self.alpha])

        def get_stretched_image(self, stretch_factor):
            stretch_factor = max(stretch_factor, 1)
            ny, nx, nch = self.im.shape
            ny2 = int(ny*stretch_factor)
            return np.vstack(
                [self.im[:self.cut_location],
                 np.broadcast_to(
                     self.im[self.cut_location], (ny2 - ny, nx, nch)),
                 self.im[self.cut_location:]])


    class RibbonBoxImage(AxesImage):
        zorder = 1

        def __init__(self, ax, bbox, color, *, extent=(0, 1, 0, 1), **kwargs):
            super().__init__(ax, extent=extent, **kwargs)
            self._bbox = bbox
            self._ribbonbox = RibbonBox(color)
            self.set_transform(BboxTransformTo(bbox))

        def draw(self, renderer, *args, **kwargs):
            stretch_factor = self._bbox.height / self._bbox.width

            ny = int(stretch_factor*self._ribbonbox.nx)
            if self.get_array() is None or self.get_array().shape[0] != ny:
                arr = self._ribbonbox.get_stretched_image(stretch_factor)
                self.set_array(arr)

            super().draw(renderer, *args, **kwargs)


    def main():
        fig, ax = plt.subplots()

        years = np.arange(2004, 2009)
        heights = [7900, 8100, 7900, 6900, 2800]
        box_colors = [
            (0.8, 0.2, 0.2),
            (0.2, 0.8, 0.2),
            (0.2, 0.2, 0.8),
            (0.7, 0.5, 0.8),
            (0.3, 0.8, 0.7),
        ]

        for year, h, bc in zip(years, heights, box_colors):
            bbox0 = Bbox.from_extents(year - 0.4, 0., year + 0.4, h)
            bbox = TransformedBbox(bbox0, ax.transData)
            ax.add_artist(RibbonBoxImage(ax, bbox, bc, interpolation="bicubic"))
            ax.annotate(str(h), (year, h), va="bottom", ha="center")

        ax.set_xlim(years[0] - 0.5, years[-1] + 0.5)
        ax.set_ylim(0, 10000)

        background_gradient = np.zeros((2, 2, 4))
        background_gradient[:, :, :3] = [1, 1, 0]
        background_gradient[:, :, 3] = [[0.1, 0.3], [0.3, 0.5]]  # alpha channel
        ax.imshow(background_gradient, interpolation="bicubic", zorder=0.1,
                  extent=(0, 1, 0, 1), transform=ax.transAxes)

        plt.show()


    main()


.. _sphx_glr_download_gallery_misc_demo_ribbon_box.py:

.. only:: html

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

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

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

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

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


.. only:: html

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

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