Thanks Travis and Robert. I am just getting my feet wet in numpy. Both approaches i.e:
b = zeros_like(a) b[a>200] = 1 or b = (a > 200).astype(numpy.uint8) avoid the memory error. Related question is that I need to test for multiple conditions on the same array and set values to 1 or 0. I see that statements like b[a>200 or a<50] = 1 do not work. So is the way to do this simply to run a separate statement in the form b[condition]= 1 for each test? Also since my output has to be a binary array, can the new array be defined as binary type or nibble, potentially reducing memory overhead? Thanks. Vikalpa -----Original Message----- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of Travis Oliphant Sent: Thursday, October 05, 2006 5:44 PM To: Discussion of Numerical Python Subject: Re: [Numpy-discussion] Memory errors > The MemoryError is a direct result when system malloc fails. Rather than use where with two scalars (you're resulting array will be int32 and therefore 4-times larger). Use b = zeros_like(a) b[a>200] = 1 which will consume less memory. -Travis ------------------------------------------------------------------------- Take Surveys. Earn Cash. Influence the Future of IT Join SourceForge.net's Techsay panel and you'll get the chance to share your opinions on IT & business topics through brief surveys -- and earn cash http://www.techsay.com/default.php?page=join.php&p=sourceforge&CID=DEVDEV _______________________________________________ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion ------------------------------------------------------------------------- Take Surveys. Earn Cash. Influence the Future of IT Join SourceForge.net's Techsay panel and you'll get the chance to share your opinions on IT & business topics through brief surveys -- and earn cash http://www.techsay.com/default.php?page=join.php&p=sourceforge&CID=DEVDEV _______________________________________________ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
