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

    Click :ref:`here <sphx_glr_download_gallery_images_contours_and_fields_demo_bboximage.py>` to download the full example code
.. rst-class:: sphx-glr-example-title

.. _sphx_glr_gallery_images_contours_and_fields_demo_bboximage.py:


==============
Demo BboxImage
==============





.. image:: /gallery/images_contours_and_fields/images/sphx_glr_demo_bboximage_001.png
    :class: sphx-glr-single-img





.. code-block:: python

    import matplotlib.pyplot as plt
    import numpy as np
    from matplotlib.image import BboxImage
    from matplotlib.transforms import Bbox, TransformedBbox

    if __name__ == "__main__":

        fig = plt.figure(1)
        ax = plt.subplot(121)

        txt = ax.text(0.5, 0.5, "test", size=30, ha="center", color="w")
        kwargs = dict()

        bbox_image = BboxImage(txt.get_window_extent,
                               norm=None,
                               origin=None,
                               clip_on=False,
                               **kwargs
                               )
        a = np.arange(256).reshape(1, 256)/256.
        bbox_image.set_data(a)
        ax.add_artist(bbox_image)

        ax = plt.subplot(122)
        a = np.linspace(0, 1, 256).reshape(1, -1)
        a = np.vstack((a, a))

        maps = sorted(m for m in plt.cm.cmap_d
                      if not m.endswith("_r"))  # Skip reversed colormaps.

        # fig.subplots_adjust(top=0.99, bottom=0.01, left=0.2, right=0.99)

        ncol = 2
        nrow = len(maps)//ncol + 1

        xpad_fraction = 0.3
        dx = 1./(ncol + xpad_fraction*(ncol - 1))

        ypad_fraction = 0.3
        dy = 1./(nrow + ypad_fraction*(nrow - 1))

        for i, m in enumerate(maps):
            ix, iy = divmod(i, nrow)
            # plt.figimage(a, 10, i*10, cmap=plt.get_cmap(m), origin='lower')
            bbox0 = Bbox.from_bounds(ix*dx*(1 + xpad_fraction),
                                     1. - iy*dy*(1 + ypad_fraction) - dy,
                                     dx, dy)
            bbox = TransformedBbox(bbox0, ax.transAxes)

            bbox_image = BboxImage(bbox,
                                   cmap=plt.get_cmap(m),
                                   norm=None,
                                   origin=None,
                                   **kwargs
                                   )

            bbox_image.set_data(a)
            ax.add_artist(bbox_image)

        plt.draw()
        plt.show()


.. _sphx_glr_download_gallery_images_contours_and_fields_demo_bboximage.py:


.. only :: html

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



  .. container:: sphx-glr-download

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



  .. container:: sphx-glr-download

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


.. only:: html

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

    Keywords: matplotlib code example, codex, python plot, pyplot
    `Gallery generated by Sphinx-Gallery
    <https://sphinx-gallery.readthedocs.io>`_