On 7/15/07, Robert Kern <[EMAIL PROTECTED]> wrote: > Sebastian Haase wrote: > > On 7/14/07, Robert Kern <[EMAIL PROTECTED]> wrote: > >> Sebastian Haase wrote: > > >>> 2) Could we have another optional argument "dtype" in numpy.where()? > >>> Otherwise I would have to always write code like this: > >>> a = N.where( arr>x, 1.0, 0.0) > >>> a = a.astype(N.float32) > >> a = N.where(arr > x, N.float32(1), N.float32(0)) > > > > If the x,y arguments are not scalars but (large) arrays this would > > need lots of unneccessary temporary memory (peak of 3 times the needed > > output memory size). > > I would wish that this function, and others which generate output > > arrays, all get an addition optional dtype argument. (Just like the > > functions in nd-image) > > > > Comments? > > I look forward to your patch.
Which file(s) should I be looking for? _______________________________________________ Numpy-discussion mailing list [email protected] http://projects.scipy.org/mailman/listinfo/numpy-discussion
