On 1/23/2010 5:01 PM, Anne Archibald wrote: > If both arrays are "C contiguous", or more generally contiguous blocks > of memory with the same strided structure, you might get faster > copying by flattening them first, so that it can go in a single > memcpy().
I may misuderstand this. Did you just mean x.flat = y.flat ? If so, I find that to be *much* slower. Thanks, Alan x = np.random.random((1000,1000)) y = x.copy() t0 = time.clock() for t in range(1000): x = y.copy() print(time.clock() - t0) t0 = time.clock() for t in range(1000): x[:,:] = y print(time.clock() - t0) t0 = time.clock() for t in range(1000): x.flat = y.flat print(time.clock() - t0) _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
