Teemu Ikonen wrote:
> Hi all,
> 
> Typing this (on ipython prompt with the relevant libraries imported)
> 
> x = linspace(0,1.0,500)
> y = linspace(0,1.0,500)
> xg,yg = meshgrid(x,y)
> c = rand(len(x), len(y))
> pcolor(xg,yg,c)
> 
> Makes the ipython process to grow to have about 400 Mb of resident
> memory and it takes ages for the plot to appear (a 1000x1000 image
> just makes my 1 Gb system trash helplessly).
> 
> But, using pcolormesh instead of pcolor in the last line of the script
> above works ok, the plot appears almost immediately, and the memory
> consumption of the ipython process only doubles, i.e. grows about 30
> Mb.
> 
> Is this a bug or am I doing something wrong? I'm using
> python-matplotlib 0.99.0-1 from Debian.

It is a limitation of pcolor, which uses a PolyCollection--very flexible 
and general, but very inefficient for simple cases with many polygons. 
With a regular grid, you can simply use an image, for the highest 
performance.  pcolormesh is also a good alternative, and more general 
than image.  There is no pyplot wrapper, but the Axes.pcolorfast method 
can use any of three different algorithms to achieve pcolor-like results 
with the highest possible efficiency for a given grid.

Eric
> 
> Best,
> 
> Teemu
> 
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