I've been in contact with Travis O, and he said it was fixed in the SVN. thanks for the suggestions, I'll try them out now.
best Sonja Filip Wasilewski wrote: > sonjaa wrote: > > Hi > > > > last week I posted a problem with running out of memory when changing > > values in NumPy arrays. Since then I have tried many different > > approaches and > > work-arounds but to no avail. > [...] > > Based on the numpy-discussion this seems to be fixed in the SVN now(?). > > Anyway, you can use 'where' function to eliminate the loops: > > from numpy import * > > y = ones((501,501)) > z = zeros((501,501)) > it = 50 > > for kk in xrange(it): > y[1,1] = 4 > y[1,2] = 4 > y[1,0] = 4 > y[2,1] = 6 > > print "Iteration #:%s" %(kk) > y = where((y == 4) | (y == 6), 2, y) > > > best, > fw -- http://mail.python.org/mailman/listinfo/python-list
