Hi, On 03/25/09 20:18, gerard manvussa wrote: > I am trying to plot a surface using the enthought.mayavi.mlab module. > > My problem is that my data along the x-axis and y-axis are not of the > same order, and so the resulting surface is completely shrinked... I do > have to renormalize the data to obtain a surface that's really looks > like one... > > for instance, if I do: > > from scipy import * > from enthought.mayavi import mlab > > x, y = mgrid[-100:100:1, -1:1:0.01] > z = random.rand(*x.shape) > s = mlab.surf(x, y, z) #the surface displayed is completely shrinked on > the y axis and z axis ( =1/100 of the x values) > mlab.show() > > How can I control the scaling without renormalizing the inputs x, y, z ?
It looks like you have an older version of mlab. This behavior of surf was fixed in version 3.1.0 IIRC, but in the meanwhile you can pass the extent keyword argument to set the specific size of the extent. Either that or you will have to use the warp_scale argument. I can't remember at this point. Regardless, using 3.1.0 or 3.2.0 should solve your problem. > Similarly, how can I limit the values displayed on the z-axis ? for > example it could be, I have a couple of points with irrealisticly big > values, and do not want them to appear in the graph... with the code > above, If I do: > > z[2, 13] = 100000 > mlab.surf(x,y,z) > > will display this 100000 point and corrupt the surface display... say I > just want to ignore it and keep values between [0, 1] ? I have tried to > play around with the mlab.axes() but it does help. Is there any mean ? I > do not want to filter my input data as it is too big. I think you can use numpy's clip to clip the data or replace the larger values with NaN. For example try this: x, y = mgrid[-1:1:0.01, -1:1:0.01] z = random.rand(*x.shape) z[100:140] = NaN mlab.surf(x, y, z) This doesn't render the NaN values. BTW, you may be better served asking questions on [email protected] also. HTH. cheers, prabhu ------------------------------------------------------------------------------ _______________________________________________ MayaVi-users mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/mayavi-users
