C M wrote: > 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?
Not necessarily--there is no guaranteed margin, although making such a margin a settable parameter has been in mind for a long time. With tight=False, the autoscaling goes to the nearest ticks that include the data range, so depending on the data range and the tick intervals, there might be negligible margin. Eric > > 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
