hi, is there a way to take the product along a 1-d array in a moving window? -- similar to convolve, with product in place of sum? currently, i'm column_stacking the array with offsets of itself into window_size columns and then taking the product at axis 1. like::
w = np.column_stack(a[i:-window_size+i] for i in range(0, window_size)) window_product = np.product(w, axis=1) but then there are the edge effects/array size issues--like those handled in np.convolve. it there something in numpy/scipy that addresses this. or that does the column_stacking with an offset? thanks, -brent _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
