On Mon, May 11, 2009 at 12:52 AM, Gökhan SEVER <gokhanse...@gmail.com> wrote: > And the answer is: > > axis(xmin=..., xmax=...) > > Probably, that was a very easy question and no one wanted to answer :) > > Gökhan > > > On Sun, May 10, 2009 at 4:12 PM, Gökhan SEVER <gokhanse...@gmail.com> wrote: >> >> Hello, >> >> I overlay bunch of boxplots with mean values shown as stars on each >> corresponding boxplot instance. (As could be seen in this image: >> http://img216.imageshack.us/img216/7528/boxplot.png. >> >> There is a minor thing that affects the appearance of the figure. That is >> 1st and the last boxplots don't fit in the figure borders. How can I fix >> this? Do you have any suggestions? >> >> Thank you. >> >> Gökhan
What is the difference between doing that or using something like: axes.autoscale_view(tight=False, scalex=True, scaley=True) I am under the impression that if tight=False, the plot does not autoscale to precisely the xlims, but leaves some margin. Is that right? Che ------------------------------------------------------------------------------ The NEW KODAK i700 Series Scanners deliver under ANY circumstances! Your production scanning environment may not be a perfect world - but thanks to Kodak, there's a perfect scanner to get the job done! With the NEW KODAK i700 Series Scanner you'll get full speed at 300 dpi even with all image processing features enabled. http://p.sf.net/sfu/kodak-com _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
