.. note:: :class: sphx-glr-download-link-note Click :ref:`here ` to download the full example code .. rst-class:: sphx-glr-example-title .. _sphx_glr_gallery_images_contours_and_fields_layer_images.py: ============ Layer Images ============ Layer images above one another using alpha blending .. code-block:: default import matplotlib.pyplot as plt import numpy as np def func3(x, y): return (1 - x / 2 + x**5 + y**3) * np.exp(-(x**2 + y**2)) # make these smaller to increase the resolution dx, dy = 0.05, 0.05 x = np.arange(-3.0, 3.0, dx) y = np.arange(-3.0, 3.0, dy) X, Y = np.meshgrid(x, y) # when layering multiple images, the images need to have the same # extent. This does not mean they need to have the same shape, but # they both need to render to the same coordinate system determined by # xmin, xmax, ymin, ymax. Note if you use different interpolations # for the images their apparent extent could be different due to # interpolation edge effects extent = np.min(x), np.max(x), np.min(y), np.max(y) fig = plt.figure(frameon=False) Z1 = np.add.outer(range(8), range(8)) % 2 # chessboard im1 = plt.imshow(Z1, cmap=plt.cm.gray, interpolation='nearest', extent=extent) Z2 = func3(X, Y) im2 = plt.imshow(Z2, cmap=plt.cm.viridis, alpha=.9, interpolation='bilinear', extent=extent) plt.show() .. image:: /gallery/images_contours_and_fields/images/sphx_glr_layer_images_001.png :class: sphx-glr-single-img ------------ References """""""""" The use of the following functions and methods is shown in this example: .. code-block:: default import matplotlib matplotlib.axes.Axes.imshow matplotlib.pyplot.imshow .. _sphx_glr_download_gallery_images_contours_and_fields_layer_images.py: .. only :: html .. container:: sphx-glr-footer :class: sphx-glr-footer-example .. container:: sphx-glr-download :download:`Download Python source code: layer_images.py ` .. container:: sphx-glr-download :download:`Download Jupyter notebook: layer_images.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature Keywords: matplotlib code example, codex, python plot, pyplot `Gallery generated by Sphinx-Gallery `_