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Alex Rivera
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I have the following code which first selects elements of a NumPy array with a logical index mask: import numpy as np grid = np.random.rand(4,4) mask = grid > 0.5 I wish to use a second boolean mask against this one to pick out objects with : masklength = len(grid[mask]) prob = 0.5 # generates an random array of bools second_mask = np.random.rand(masklength) < prob # this fails to act on original object grid[mask][second_mask] = 100 This is not quite the same problem as listed in this SO question: Numpy array, how to select indices satisfying multiple conditions? - as I am using random number generation, I don't want to have to generate a full mask, only for the elements selected by the first mask.
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