Hello, I'm trying to do the following:
datagrid = numpy.zeros(360,180,3,73,20) But I get an error saying that the dimensions are too large? Is there a memory issue here? So, my workaround is this: numpoint = 73 datagrid = numpy.zeros(360,180,3,73,1) for np in range(numpoint): datagrid[:,:,:,np,0] = datagrid[:,:,:,np,0] + concgrid[:,:,:,np,0] But this is SLOW.. what can I do to increase efficiency here? Is there a way to create the larger array? The program loops through several days actually, filling the 5th dimension. Eventually I just sum the 5th dimension anyway (as done in the loop of the workaround). Thanks! john -- Configuration `````````````````````````` Plone 2.5.3-final, CMF-1.6.4, Zope (Zope 2.9.7-final, python 2.4.4, linux2), Five 1.4.1, Python 2.4.4 (#1, Jul 3 2007, 22:58:17) [GCC 4.1.1 20070105 (Red Hat 4.1.1-51)], PIL 1.1.6 Mailman 2.1.9 Postfix 2.4.5 Procmail v3.22 2001/09/10 -- View this message in context: http://www.nabble.com/More-efficient-array-processing-tp20136676p20136676.html Sent from the Python - python-list mailing list archive at Nabble.com. -- http://mail.python.org/mailman/listinfo/python-list
