Robert Cimrman wrote: > I have come to a case where using a matrix would be easier than an > array. The code uses lots of dot products, so I tested scipy.dot() > performance with the code below and found that the array version is much > faster (about 3 times for the given shape). What is the reason for this? > Or is something wrong with my measurement? > > regards, > r. > > --- > import timeit > setup = """ > import numpy as nm > import scipy as sc > X = nm.random.rand( 100, 3 ) > X = nm.asmatrix( X ) # (un)comment this line. > print X.shape > """ > tt = timeit.Timer( 'sc.dot( X.T, X )', setup ) > print tt.timeit() > _______________________________________________ > Numpy-discussion mailing list > [email protected] > http://projects.scipy.org/mailman/listinfo/numpy-discussion > Confirmed, but for what reason ?
0.5.3.dev3020 1.0.3.dev3792 Array version 6.84843301773 Matrix version 17.1273219585 Nils _______________________________________________ Numpy-discussion mailing list [email protected] http://projects.scipy.org/mailman/listinfo/numpy-discussion
