On 02/04/2011 02:03 PM, Christoph Gohlke wrote: [...] > > How about these changes to color.py (attached). This avoids copies, uses > in-place operations, and calculates single precision when normalizing > small integer and float32 arrays. Similar could be done for LogNorm. Do > masked arrays support in-place operations? > > Christoph
Christoph, Thank you. Done (with slight modifications) in 8946 (trunk). I was surprised by the speedup in normalizing large arrays when using float32 versus float64. A factor of 10 on my machine with (1000,1000), timed with ipython %timeit. Because of the way %timeit does multiple tests, I suspect it may exaggerate cache effects. Eric ------------------------------------------------------------------------------ The modern datacenter depends on network connectivity to access resources and provide services. The best practices for maximizing a physical server's connectivity to a physical network are well understood - see how these rules translate into the virtual world? http://p.sf.net/sfu/oracle-sfdevnlfb _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
