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>>>>> "Darren" == Darren Dale <dd...@co...> writes: Darren> You can set the formatter back to the old behavior like Darren> this: Darren> from ticker import OldScalarFormatter a=axes() Darren> a.yaxis.set_major_formatter(OldScalarFormatter()) But will that help? It will still fall over to exponential notation at 1e4. Perhaps a custom formatter will work better for you, eg examples/custom_ticker1.py. JDH
On Monday 15 August 2005 10:18 am, Maria Khomenko wrote: > Hi, > > I noticed that the default scalar formatter turns on scientific notation > once the numbers are over 10000. I was wondering if there is a way to turn > off this option > or at least change the settings to give matplotlib a different cut-off > point for switching into scientific notation. > > I would appreciate some help with this, You can set the formatter back to the old behavior like this: from ticker import OldScalarFormatter a=axes() a.yaxis.set_major_formatter(OldScalarFormatter()) -- Darren S. Dale Bard Hall Department of Materials Science and Engineering Cornell University Ithaca, NY. 14850 dd...@co... http://people.ccmr.cornell.edu/~dd55/
Hi, I noticed that the default scalar formatter turns on scientific notation once the numbers are over 10000. I was wondering if there is a way to turn off this option or at least change the settings to give matplotlib a different cut-off point for switching into scientific notation. I would appreciate some help with this, Thanks, Maria
Sorry, I answered this one but did not reply to all, so it didn't go to the list. The equivalent matplotlib functions are xlim and ylim. Ryan John Hunter wrote: >>>>>>"Nils" == Nils Wagner <nw...@me...> writes: > > > Nils> Hi all, How can I replace xplt.limits(xl,xu,yl,yu) in > Nils> matplotlib ? > > Can you describe how this function performs and what the arguments > mean? Not all matplotlib users know scipy.xplt. > > JDH > > > ------------------------------------------------------- > SF.Net email is Sponsored by the Better Software Conference & EXPO > September 19-22, 2005 * San Francisco, CA * Development Lifecycle Practices > Agile & Plan-Driven Development * Managing Projects & Teams * Testing & QA > Security * Process Improvement & Measurement * http://www.sqe.com/bsce5sf > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users >