Hi,
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 ?
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.
Thanks a lot.
Regards,
Gérard
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