I am reading a very large array (~9000,11000) of 1 byte image values. I need to change values in the array that meet a certain condition so I am running something like:
b = numpy.where(a>200,0,1) to create a new array with the changed values. However, I get a "MemoryError" everytime I try this. I have over 3gb of RAM on my machine (most of which is available). The process runs fine on smaller datasets. Is there a maximum array size that numpy handles? Any alternatives/workarounds? Thanks. Vikalpa -----Original Message----- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of A. M. Archibald Sent: Thursday, October 05, 2006 5:02 PM To: Discussion of Numerical Python Subject: Re: [Numpy-discussion] Hello and my first patch On 05/10/06, Travis Oliphant <[EMAIL PROTECTED]> wrote: > I think a hybrid for weave / f2py / ctypes that allows "inlining in > multiple languages" as well as automatic extension module generation for > "already-written" code is in order. It might make sense to also include SWIG (since that seems to be a popular choice for wrapping "already-written" C and C++ code). A. M. Archibald ------------------------------------------------------------------------- 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
