On Mon, May 11, 2009 at 3:06 AM, Eric Firing <efir...@hawaii.edu> wrote: > 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
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