From: fernandof <fer...@gm...> - 2008-09-13 23:02:08
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Googled, looked for documentation, even tried the source code but couldn't find it. -- View this message in context: http://www.nabble.com/How-to-set-the-unit-%28scale-factor%2C-x1e5%29-on-x-axis--tp19475592p19475592.html Sent from the matplotlib - users mailing list archive at Nabble.com. |
From: Eric F. <ef...@ha...> - 2008-09-14 23:53:20
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fernandof wrote: > Googled, looked for documentation, even tried the source code but couldn't > find it. You may need to be more precise in describing what you want to do; it is far from clear to me from your subject line. Eric |
From: Fernando F. <fer...@gm...> - 2008-09-15 03:19:15
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Hi Eric, Reading it one day after I can tell it's really unclear, sorry about that.... So, I want to plot a line, but controlling the labels on the tickers of the x axis. For instance, if I'm plotting (1000, 5), (2000, 10), (3000, 10), the ticks on the x axis might show 1000 2000 3000 or 1 2 3 x1e3. I want to control it, set it to 1 and obtain the first example, and set to 1000 and obtain the second one. Thanks, Fernando. On Sun, Sep 14, 2008 at 8:53 PM, Eric Firing <ef...@ha...> wrote: > fernandof wrote: > >> Googled, looked for documentation, even tried the source code but couldn't >> find it. >> > > You may need to be more precise in describing what you want to do; it is > far from clear to me from your subject line. > > Eric > |
From: Stephen G. <ste...@op...> - 2008-09-15 04:28:52
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Hi Fernando, > So, I want to plot a line, but controlling the labels on the tickers > of the x axis. For instance, if I'm plotting (1000, 5), (2000, 10), > (3000, 10), the ticks on the x axis might show 1000 2000 3000 > or 1 2 3 x1e3. I want to control it, set it to 1 > and obtain the first example, and set to 1000 and obtain the second one. I not 100% clear what you want to achieve, however look into your matplotlib distribution for ticker.py There is Formatter classes that control such things. For example the existing ScalarFormatter, has a method set_scientific() to enable /disable scientific formatting. My reading of your description suggests this is what you are after or you might get some joy out of set_powerlimits() or the argument useOffset. If your requirements are different you may need to create your own formatter class. Steve |
From: Eric F. <ef...@ha...> - 2008-09-15 07:14:29
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Stephen George wrote: > Hi Fernando, >> So, I want to plot a line, but controlling the labels on the tickers >> of the x axis. For instance, if I'm plotting (1000, 5), (2000, 10), >> (3000, 10), the ticks on the x axis might show 1000 2000 3000 >> or 1 2 3 x1e3. I want to control it, set it to 1 >> and obtain the first example, and set to 1000 and obtain the second one. > I not 100% clear what you want to achieve, however look into your > matplotlib distribution for ticker.py > > There is Formatter classes that control such things. > > For example the existing ScalarFormatter, has a method set_scientific() > to enable /disable scientific formatting. My reading of your description > suggests this is what you are after or you might get some joy out of > set_powerlimits() or the argument useOffset. > > If your requirements are different you may need to create your own > formatter class. The only thing I can add at this point is that there is also an Axes.ticklabel_format() method that calls set_scientific, and doesn't require you to dig around to figure out how to access the formatter. Eric > > Steve > > ------------------------------------------------------------------------- > This SF.Net email is sponsored by the Moblin Your Move Developer's challenge > Build the coolest Linux based applications with Moblin SDK & win great prizes > Grand prize is a trip for two to an Open Source event anywhere in the world > http://moblin-contest.org/redirect.php?banner_id=100&url=/ > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users |