Xavier Gnata wrote: > >>> ok. My bad! Sorry. >>> I have changed the default to %1.4g so that is matches my usecases >>> *but* I >>> agree that correct way to improve it in not that trivial... >>> >> >> >> You can control the point at which mpl falls over to scientific >> notation. From the matplotlibrc file (see >> http://matplotlib.sourceforge.net/users/customizing.html) >> >> axes.formatter.limits : -7, 7 # use scientific notation if log10 >> # of the axis range is smaller than the >> # first or larger than the second >> >> I'm actually surprised you are seeing problems with images of >> 1000x1000 -- it makes me suspect you have an older matplotlib version >> or an older matplotlibrc laying around because at -7,7, which is the >> current default, you should not see exponential formatting until you >> get to much larger sizes. >> >> JDH >> > I have uncommented the "axes.formatter.limits : -7, 7" line in my > matplotlibrc. > If have have understood the conclusion of this thread correctly, it > should be taken info account quite soon, isn't it?
It already *is* taken into account--just not where you want it to be. And I don't think it *should* be taken into account there. It is used for the *tick labels*. I don't think that locking the formatting of these to the *cursor readout* is the right thing to do. The solution to your problem involves improving the latter with *no change* to the former. I have just now committed a small change set that I think you will find sufficient improvement for the present, and that I hope no one else will find objectionable; but we will have to see how that turns out. It is possible that it will not play well on some backends/dpi/whatever, or under some other circumstances. As noted in the commit message, doing this right requires some changes in all the interactive backends. Eric > > Xavier ------------------------------------------------------------------------------ OpenSolaris 2009.06 is a cutting edge operating system for enterprises looking to deploy the next generation of Solaris that includes the latest innovations from Sun and the OpenSource community. Download a copy and enjoy capabilities such as Networking, Storage and Virtualization. Go to: http://p.sf.net/sfu/opensolaris-get _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
