.. _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 :align: center .. 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") and # Skip reversed colormaps. not m.startswith(('spectral', 'Vega')) # Skip deprecated 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() **Total running time of the script:** ( 0 minutes 0.210 seconds) .. only :: html .. container:: sphx-glr-footer .. container:: sphx-glr-download :download:`Download Python source code: demo_bboximage.py ` .. container:: sphx-glr-download :download:`Download Jupyter notebook: demo_bboximage.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_