I was looking through this, and have a suggestion as well: You have a line that reads In[10]: plt.hist(lum_img)
This should probably be plt.hist(lum_img.ravel(),bins=<some larger number>) As it is right now, you are making a histogram of each line individually, and my experience has been that this tends to cause issues (memory and confusion-related) with relatively large images. On Wed, Sep 2, 2009 at 6:42 AM, Michael Sarahan <mcsara...@ucdavis.edu> wrote: > Great suggestions. I'll find time to work on them in the near future, > hopefully. > > -Mike > > On Sat, Aug 29, 2009 at 6:06 PM, Gary Ruben<gru...@bigpond.net.au> wrote: >> 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 > ------------------------------------------------------------------------------ Come build with us! The BlackBerry® Developer Conference in SF, CA is the only developer event you need to attend this year. Jumpstart your developing skills, take BlackBerry mobile applications to market and stay ahead of the curve. Join us from November 9-12, 2009. Register now! http://p.sf.net/sfu/devconf _______________________________________________ Matplotlib-devel mailing list Matplotlib-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
