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## matplotlib-users

 [Matplotlib-users] axis equal From: David Arnold - 2009-12-07 17:30:07 ```All, Is there an "axis equal" command for mplot3d? D. ```
 Re: [Matplotlib-users] axis equal From: Mike Alger - 2009-12-10 01:17:00 ```Unfortunately i have not found such a function as of yet and the function that sound close to it (aspect) only controls the windows aspect ratio Fortunately there is a quick and dirty work around I have found the following to be useful Assuming you have X Y Z matrices made using meshgrid or some other means from mpl_toolkits.mplot3d import Axes3D import matplotlib.pyplot as plt import numpy as np fig = plt.figure() ax = Axes3D(fig) u = np.linspace(0, 2 * np.pi, 100) v = np.linspace(0, np.pi, 100) x = 10 * np.outer(np.cos(u), np.sin(v)) y = 10 * np.outer(np.sin(u), np.sin(v)) z = 50 * np.outer(np.ones(np.size(u)), np.cos(v)) ax.plot_surface(x, y, z, rstride=4, cstride=4, color='b') Xstart=(x.min()) Xend =(x.max()) Ystart=(y.min()) Zstart=(z.min()) Scalex=(Xend-Xstart) ax.set_xlim3d(Xstart,Xstart+Scale) ax.set_ylim3d(Ystart,Ystart+Scale) ax.set_zlim3d(Zstart,Zstart+Scale) plt.show() again I have made the assumption that the plot is "squarish" in the x and y direction, a more robust version would test to see which is the biggest scalex,scaley,scalez center the other axis value but again i just coded this in 5 min as an example -----Original Message----- From: David Arnold [mailto:dwarnold45@...] Sent: December-07-09 12:30 PM To: matplotlib-users@... Subject: [Matplotlib-users] axis equal All, Is there an "axis equal" command for mplot3d? D. ---------------------------------------------------------------------------- -- Join us December 9, 2009 for the Red Hat Virtual Experience, a free event focused on virtualization and cloud computing. Attend in-depth sessions from your desk. Your couch. Anywhere. http://p.sf.net/sfu/redhat-sfdev2dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@... https://lists.sourceforge.net/lists/listinfo/matplotlib-users ```