Very nice addition Michael. I note that the plt.colormap() line must have gotten lost. It's referred to but not there. I'll add some ideas to John's list:
* Demonstrate the imsave() command. * Rather than show 50 lines or so of array data, just show a few lines, but demonstrate what img.shape is before and after slicing out the B channel with img[:,:,0] * It may be worth mentioning explicitly that img[:,:,0] will give you the blue channel for an RGB and an RGBA image. * Demonstrate the "upper" and "lower" keywords where relevant. * Add a pointer to the scipy.ndimage module * Extend the examples with RGB and RGBA images. * You might like to show how to recarrays and views on the individual colour channels. There are examples in the mailing list archives or maybe on the scipy website - I can't remember where. * If you want to get more advanced, talk about higher bit depth images than 8 bits per channel. * If you want to get even more advanced, show how to change the UI to probe the pixel value (I wish matplotlib did this by default). Gary R. John Hunter wrote: > On Sat, Aug 29, 2009 at 10:58 AM, Michael Sarahan<mcsara...@ucdavis.edu> > wrote: >> Here you go. If you can think of anything else to include, I'll work >> on it. I think the next thing I'll add is something on embedding >> images in the corners of plots. figimage is the way to do this, >> right? ------------------------------------------------------------------------------ Let Crystal Reports handle the reporting - Free Crystal Reports 2008 30-Day trial. Simplify your report design, integration and deployment - and focus on what you do best, core application coding. Discover what's new with Crystal Reports now. http://p.sf.net/sfu/bobj-july _______________________________________________ Matplotlib-devel mailing list Matplotlib-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
