On Wed, Jul 11, 2012 at 10:23:32AM -0500, John Hunter wrote: > On Wed, Jul 11, 2012 at 10:09 AM, Damon McDougall <[email protected] > > wrote: > > > > Well, as Ben said, that error fill plot is neato! It doesn't look too > > complicated, either. I'd be more than happy to port it over later today > > when I get bored of typing up my thesis. It'll probably only take me > > about 30 minutes. > > > > If nobody is opposed to this idea, I'll go ahead and submit a PR this > > evening (British Summer (hah!) Time). > > > > > While it is a nice graph, I am not sure that the use case is common enough > to justify a new plotting method. One can get the same result with: > > > In [68]: x = np.linspace(0, 2 * np.pi) > > In [69]: y_sin = np.sin(x) > > In [70]: err = np.concatenate([y_sin + 0.2, y_sin[::-1] - 0.2]) > > In [71]: plot(x, y_sin) > Out[71]: [<matplotlib.lines.Line2D object at 0x96959ec>] > > In [72]: fill_between(np.concatenate([x, x[::-1]]), err, facecolor='red', > alpha=0.5) > Out[72]: <matplotlib.collections.PolyCollection object at 0x962758c> > > Admittedly the [::-1] thing is a bit counter-intuitive, but rather than > adding a new plotting method, perhaps we would be better off with a helper > method to create the xs and ys for fill_between > > xs, ys = mlab.pad_line(x, y, 0.2) > fill_between(xs, ys) > > JDH
+1 on the helper function. That's probably a much less bloated of way of doing it. -- Damon McDougall http://damon-is-a-geek.com B2.39 Mathematics Institute University of Warwick Coventry West Midlands CV4 7AL United Kingdom ------------------------------------------------------------------------------ Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ _______________________________________________ Matplotlib-devel mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
