Eric Firing wrote: > Andrew Straw wrote: >> Hi all, >> >> I've added some functionality to my copy hexbin, and I thought I'd >> bounce it off folks (esp. Michael) to see if it seems like a good idea >> to add it to MPL. >> >> Here's the beginning of the docstring of the new version. What I've >> added is the optional argument "C" -- inspired by scatter's "c" argument. >> >>> call signature:: >>> >>> hexbin(x, y, C = None, gridsize = 100, bins = None, >>> xscale = 'linear', yscale = 'linear', >>> cmap=None, norm=None, vmin=None, vmax=None, >>> alpha=1.0, linewidths=None, edgecolors='none' >>> reduce_C_function = np.mean, >>> **kwargs) >>> >>> Make a hexagonal binning plot of *x* versus *y*, where *x*, >>> *y* are 1-D sequences of the same length, *N*. If *C* is None >>> (the default), this is a histogram of the number of occurences >>> of the observations at (x[i],y[i]). >>> >>> If *C* is specified, it specifies values at the coordinate >>> (x[i],y[i]). These values are accumulated for each hexagonal >>> bin and then reduced according to *reduce_C_function*, which >>> defaults to numpy's mean function (np.mean). (If *C* is >>> specified, it must also be a 1-D sequence of the same length >>> as *x* and *y*.) >> >> What do you think? I've also implemented a simple demo making use of >> this functionality and an image of the output of the demo. For my own >> selfish reasons, I'd love if we could stick this in 0.98.3, but I'm also >> happy to hold off to get the release out the door. >> >> -Andrew > > Andrew, > > That sounds like a nice addition, and one that does not interfere in any > way with the original hexbin functionality. > > Eric
OK, with John and Eric's encouragement, I've gone ahead and checked this into svn along with the new example in pylab (pylab_examples/hexbin_demo2.py). I've been pounding away on it all afternoon, and haven't found any problems, and I left the original functionality of hexbin() untouched, so I doubt this will cause a problem for anyone. -Andrew ------------------------------------------------------------------------- This SF.Net email is sponsored by the Moblin Your Move Developer's challenge Build the coolest Linux based applications with Moblin SDK & win great prizes Grand prize is a trip for two to an Open Source event anywhere in the world http://moblin-contest.org/redirect.php?banner_id=100&url=/ _______________________________________________ Matplotlib-devel mailing list Matplotlib-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
