Dear all, After some surprise, I noticed an inconsistency while adding array slices:
> a = np.arange(5) > a[1:] = a[1:] + a[:-1] > a array([0, 1, 3, 5, 7]) versus inplace > a = np.arange(5) > a[1:] += a[:-1] > a array([ 0, 1, 3, 6, 10]) My suspicition is that the second variant does not create intermediate storage, and thus works on the intermediate result, effectively performing a.cumsum(). This behaviour is certainly surprising, and leads to unexpected errors if used without testing. Best, Martin -- Dr. Martin Lüthi [email protected] VAW Glaciology http://www.vaw.ethz.ch/gz ETH Zürich http://people.ee.ethz.ch/~luethim 8093 Zürich Tel: +41 44 632 40 93 _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
