Anne-Sophie Sertier wrote: > Hello ! > > I'm a new user of Numpy. I want to use it to work with matrices (very > huge matrices), select column, make product, etc ... > Configuration : Debian, python 2.4.4 and numpy 1.0.1 > > So here is my problem: > I initialize a matrix which will contain only 0 and 1 > > >>> from numpy import * > >>>> matCons = zeros((194844,267595)),dtype=int8) >>>>
Unless you are executing this on a gigantic computer, this won't work very well: you are asking to create an array which has ~ 2e5^2 elements, that is around 40 Gb. There is a bug, but the bug happens at the above line: the zeros call did not fail whereas it should have. It is likely caused because the number of elements cannot fit into a 32 bits integers, which means it overflows: import numpy as np n , m = 1e5,1e5 a = np.zeros((n, m), np.int8) assert a.size == n * m Will raise an assertion error (n * m is just big enough to not fit into a 32 bits integer in this case). cheers, David _______________________________________________ Numpy-discussion mailing list [email protected] http://projects.scipy.org/mailman/listinfo/numpy-discussion
