.. _sphx_glr_gallery_api_affine_image.py: ============================ Affine transform of an image ============================ For the backends that support draw_image with optional affine transform (e.g., agg, ps backend), the image of the output should have its boundary match the dashed yellow rectangle. .. image:: /gallery/api/images/sphx_glr_affine_image_001.png :align: center .. code-block:: python import numpy as np import matplotlib.mlab as mlab import matplotlib.pyplot as plt import matplotlib.transforms as mtransforms def get_image(): delta = 0.25 x = y = np.arange(-3.0, 3.0, delta) X, Y = np.meshgrid(x, y) Z1 = mlab.bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0) Z2 = mlab.bivariate_normal(X, Y, 1.5, 0.5, 1, 1) Z = Z2 - Z1 # difference of Gaussians return Z def do_plot(ax, Z, transform): im = ax.imshow(Z, interpolation='none', origin='lower', extent=[-2, 4, -3, 2], clip_on=True) trans_data = transform + ax.transData im.set_transform(trans_data) # display intended extent of the image x1, x2, y1, y2 = im.get_extent() ax.plot([x1, x2, x2, x1, x1], [y1, y1, y2, y2, y1], "y--", transform=trans_data) ax.set_xlim(-5, 5) ax.set_ylim(-4, 4) # prepare image and figure fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2) Z = get_image() # image rotation do_plot(ax1, Z, mtransforms.Affine2D().rotate_deg(30)) # image skew do_plot(ax2, Z, mtransforms.Affine2D().skew_deg(30, 15)) # scale and reflection do_plot(ax3, Z, mtransforms.Affine2D().scale(-1, .5)) # everything and a translation do_plot(ax4, Z, mtransforms.Affine2D(). rotate_deg(30).skew_deg(30, 15).scale(-1, .5).translate(.5, -1)) plt.show() **Total running time of the script:** ( 0 minutes 0.127 seconds) .. only :: html .. container:: sphx-glr-footer .. container:: sphx-glr-download :download:`Download Python source code: affine_image.py ` .. container:: sphx-glr-download :download:`Download Jupyter notebook: affine_image.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_