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From: Xavier G. <xav...@gm...> - 2011-04-23 00:33:29
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Hi, Imagine you have this code: import numpy as np import matplotlib.cm as cm import matplotlib.mlab as mlab import matplotlib.pyplot as plt 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 plt.imshow(Z, interpolation='nearest', cmap=cm.gray, origin='lower', extent=[-3,3,-3,3]) Then you want to change the color of a few pixels to red. You have a list of coordinates (i,j) and each pixel in this list should now be red. I could play with masked arrays like in: http://matplotlib.sourceforge.net/examples/pylab_examples/image_masked.html but I would prefer a simple "display this pixel (i,j) in red whatever his value is" function. Xavier |