[Matplotlib-users] 3d plotting question

[belinda t. <bt...@cs...>]

Hi,

I'm having problems plotting two different kind of graphs on the same  
3D figure. Was hoping for some pointers.

Here's some basic test code, to demonstrate what I'd like to be able  
to do.
------------
import copy
import pylab as P
import matplotlib.axes3d as P3
def test() :
     [X,Y] = P.meshgrid(P.linspace(-3,3,7),P.linspace(-3,3,7))
     Z = copy.deepcopy(X)
     Z1 = copy.deepcopy(X)
     for i in xrange(len(X)) :
         for j in xrange(len(X[0])) :
             Z[i][j] = X[i][j]*Y[i][j]
             Z1[i][j] = X[i][j]*Y[i][j] - 5
     P.close('all')
     fig = P.figure()
     ax = P3.Axes3D(fig)
     ax.scatter3D(P.ravel(X),P.ravel(Y),P.ravel(Z))
     ax.set_xlabel('x')
     ax.set_ylabel('y')
     ax.set_zlabel('z=x*y')
     P.show()
     ax.plot3D(P.ravel(X),P.ravel(Y),P.ravel(Z1))
     P.show()
------------
Which produces an autoscale_view kwarg error appended below. I've  
tried calling plot3D with scalex=False and scaleY=False but that  
doesn't fix the problem. I've also tried creating a new axis (e.g.  
ax1) and doing ax1.Plot3D to no avail. It seems to be an error w/in  
matplotlib, but perhaps I'm misusing something. I haven't been able  
to find much documentation for this at http://www.scipy.org/Cookbook/ 
Matplotlib/mplot3D so have resorted to playing around.

If anyone also knows how to pass color-marker info into scatter3D, I  
have been able to create two of those on the same figure, so being  
able to change the colors of each and just using scatter3D would be a  
reasonable hack for my situation.

Advice always appreciated,

--b

In [25]: T.test()
------------------------------------------------------------------------ 
---
exceptions.TypeError                                 Traceback (most  
recent call last)

/Users/bthom/belinda/mills/aicourse/material/week12/lec/examples/ 
<ipython console>

/Users/bthom/belinda/mills/aicourse/material/week12/lec/examples/ 
threeD.py in test()
      18     ax.set_zlabel('z=x*y')
      19     P.show()
---> 20     ax.plot3D(P.ravel(X),P.ravel(Y),P.ravel(Z1))
      21     P.show()
      22

/Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/site- 
packages/matplotlib/axes3d.py in plot3D(self, xs, ys, zs, *args,  
**kwargs)
     488     def plot3D(self, xs, ys, zs, *args, **kwargs):
     489         had_data = self.has_data()
--> 490         lines = Axes.plot(self, xs,ys, *args, **kwargs)
     491         if len(lines)==1:
     492             line = lines[0]

/Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/site- 
packages/matplotlib/axes.py in plot(self, *args, **kwargs)
    2129         lines = [line for line in lines] # consume the  
generator
    2130
-> 2131         self.autoscale_view(scalex=scalex, scaley=scaley)
    2132         return lines
    2133

TypeError: autoscale_view() got an unexpected keyword argument 'scalex'
 > /Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/ 
site-packages/matplotlib/axes.py(2131)plot()
    2130
-> 2131         self.autoscale_view(scalex=scalex, scaley=scaley)
    2132         return lines