Hi Jon, yes, this is what I am looking for. Now, the chart is like I've expected.
Thank you all! (...also for the quick response!) Miriam D. On 25/03/13 17:00, Jonathan Slavin wrote: > Hi Miriam, > > This case is a simple one for setting the axis ratios. You want to set > the aspect ratio to equal: > gca().set_aspect('equal') > after making your plot > > Jon > > On Mon, 2013-03-25 at 16:06 +0100, Miriam Degginger wrote: >> Hi all, >> >> I am working on a correlation chart with pyplot for a monitoring web >> tool. The plot is looking good, but only the strange resolution of axes >> disturbs the view. >> >> In a simple correlation plot, e.g. I want to compare two temperature >> sensors, I expect a line who divides the picture in two halves with an >> angle of 45° (optimal correlation R²=1). That feels natural and you can >> see whether the both sensors correlate or not without a deeper look at >> the exact values. But pyplot shows me a chart, where the x-axis's tick >> interval is larger (108 pixel) than the y-axis's tick interval (77 >> pixel). In attachment you can see my example. >> >> How can I manipulate the axes that they show the same pixel resolution? >> >> I hope I make my case clear. If more information is needed, please tell me. >> >> Thank you very much in advance! >> >> Miriam D. ------------------------------------------------------------------------------ Everyone hates slow websites. So do we. Make your web apps faster with AppDynamics Download AppDynamics Lite for free today: http://p.sf.net/sfu/appdyn_d2d_mar _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users