On Sun, Jan 27, 2013 at 12:28 PM, Neal Becker <ndbeck...@gmail.com> wrote: > Damon McDougall wrote: > >> On Sun, Jan 27, 2013 at 11:51 AM, Neal Becker >> <ndbeck...@gmail.com> wrote: >>> Damon McDougall wrote: >>> >>>> On Sun, Jan 27, 2013 at 8:56 AM, Neal Becker >>>> <ndbeck...@gmail.com> wrote: >>>>> Simple example: the bars on the two x axis ends are not visible. >>>>> >>>>> x = [3, 6, 10] >>>>> y = [1, 2, 3] >>>>> import matplotlib.pyplot as plt >>>>> >>>>> plt.errorbar (x, y, 0.2) >>>> >>>> Try adding a plt.xlim(2, 11) here. >>>> >>>>> plt.show() >>>>> >>> Yes that'll fix it - but ideally autoscaling should work correctly. >> >> That behaviour of autoscale appears to be consistent with >> plt.plot(range(3)), for example. That is, the axis limits butt up >> against the plotted data. >> >> By 'work correctly', do you mean that the axis limits should be padded >> so there is a whitespace border surrounding the data being plotted? >> > > I think you'll agree the original result in not visually appealing or clear. > The most obvious way to improve it would be to select axis limits a bit > larger. > At least large enough to completely show the error bar; I suspect a bit of > whitespace would be even more clear.
Indeed, I do agree. I have actually changed my mind about this behaviour being consistent with plt.plot. I feel like the 'feet' on the error bars should be taken into account during the autoscaling procedure. This will result in the autoscaling procedure adding a small amount of whitespace such that the feet are then visible after a call to plt.show(). I have opened a new issue on our github issue tracker. See https://github.com/matplotlib/matplotlib/issues/1711 Thanks for reporting the problem, Neal. -- Damon McDougall http://www.damon-is-a-geek.com Institute for Computational Engineering Sciences 201 E. 24th St. Stop C0200 The University of Texas at Austin Austin, TX 78712-1229 ------------------------------------------------------------------------------ Master Visual Studio, SharePoint, SQL, ASP.NET, C# 2012, HTML5, CSS, MVC, Windows 8 Apps, JavaScript and much more. Keep your skills current with LearnDevNow - 3,200 step-by-step video tutorials by Microsoft MVPs and experts. ON SALE this month only -- learn more at: http://p.sf.net/sfu/learnnow-d2d _______________________________________________ Matplotlib-devel mailing list Matplotlib-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
