Negative division and numpy scalars
Hi, I have been bitten by a subtlety in numpy scalar divisions. The next exposes the issue:
-1/20 -1 Numeric.array([-1])[0] / Numeric.array([20])[0] -1 numarray.array([-1])[0] / numarray.array([20])[0] -1 numpy.array([-1])[0] / numpy.array([20])[0] 0
After some digging, I've found that Python and C follow different conventions for doing this negative division: Python do a floor of the result, while C truncates it. As numpy scalar operations seems to be implemented in C, it seems that it follows the C convention and truncates the result. In fact, I like this behaviour of NumPy scalars (at least, when I'm aware of it!), but I thought it would be nice to warn other people about that. Cheers, --
0,0< Francesc Altet http://www.carabos.com/ V V Cárabos Coop. V. Enjoy Data "-"
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Francesc Altet