Vikalpa Jetly wrote: >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? > > > 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
