I haven't studied it, but I guess that newaxis increases the dimensionality, while specifying 0 for the stride. Can reshape do that?
Tim Holy wrote: > I'm not certain I understand what `np.newaxis` does, but doesn't `reshape` > do the same thing? (newaxis does look like a convenient way to specify > shape, though.) > > Best, > --Tim > > On Monday, September 12, 2016 3:28:56 PM CDT Neal Becker wrote: >> Some time ago I asked this question >> http://stackoverflow.com/questions/25486506/julia-broadcasting-equivalent-of >> -numpy-newaxis >> >> As a more interesting example, here is some real python code I use: >> dist = mag_sqr (demod_out[:,np.newaxis] - const.map[np.newaxis,:]) >> >> where demod_out, const.map are each vectors, mag_sqr performs >> element-wise euclidean distance, and the result is a 2D array whose 1st >> axis matches the 1st axis of demod_out, and the 2nd axis matches the 2nd >> axis of const.map. >> >> >> From the answers I've seen, julia doesn't really have an equivalent >> functionality. The idea here is, without allocating a new array, >> manipulate the strides to cause broadcasting. >> >> AFAICT, the best for Julia would be just forget the vectorized code, and >> explicitly write out loops to perform the computation. OK, I guess, but >> maybe not as readable. >> >> Is there any news on this front?
