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Alex Rivera
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Suppose you have a numpy array and a list: >>> a = np.array([1,2,2,1]).reshape(2,2) >>> a array([[1, 2], [2, 1]]) >>> b = [0, 10] I'd like to replace values in an array, so that 1 is replaced by 0, and 2 by 10. I found a similar problem here - http://mail.python.org/pipermail//tutor/2011-September/085392.html But using this solution: for x in np.nditer(a): if x==1: x[...]=x=0 elif x==2: x[...]=x=10 Throws me an error: ValueError: assignment destination is read-only I guess that's because I can't really write into a numpy array. P.S. The actual size of the numpy array is 514 by 504 and of the list is 8.
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