Auré Gourrier wrote: > Dear all, > > I've been trying to plot a 'pixel' image of data contained in an array > with a given shape. The imshow() func is perfect for this however, the > image is usually displayed with margins within a figure. I tried to get > rid of this margin to get the axes in full view. However, I never > properly got my way around this: the outermost pixels are only partly > displayed or there is always a remaining border. I put some code below > to show this. Could anyone give me a hint on what I'm doing wrong ? What > I need to do, in the end is 'simply' to shift the axes by half a pixel > left, right and top... I tried doing so by using the axes.set_position() > but couldn't figure out proper values for this. > > > #build array containing data and set correct shape > data = np.asarray(datalist) > data = np.reshape(data,(9,41)) > > #set figure to correct shape > initsize = 10. > width2heightratio = 9./41. > figwidth = initsize > figheight = initsize*width2heightratio > fig = Figure(figwidth ,figheight ) > > #create axes > axes = fig .gca() > > #set to 0,0 pos to get rid of margins > axes1.set_position((0.,0.,1.,1.)) > > axes.imshow(data,origin='upper') >
You might try fiddling with fig.subplots_adjust() Ryan -- Ryan May Graduate Research Assistant School of Meteorology University of Oklahoma ------------------------------------------------------------------------- This SF.net email is sponsored by: Microsoft Defy all challenges. Microsoft(R) Visual Studio 2008. http://clk.atdmt.com/MRT/go/vse0120000070mrt/direct/01/ _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
