# 3d surface plot appears as black surface

Hi Everyone,
I’ve compiled matplotlib from svn (0.98.6svn) and I tried running the following sample:
import pylab as pl
from numpy import *
import mpl_toolkits.mplot3d.axes3d as axes3d

``````   #  x      y     head
``````

head = ((25, 225 , 240.1178), #h1
(75, 225, 242.3238),#h2
(125, 225, 244.8013),#h3
(175, 225, 247.2736),
(225, 225, 248.8057),#h5

``````    (25, 175 ,  241.7646), #h6
(75,  175,  242.0468),#h7
(175,   175, 248.2085),  #h8
(225,   175,    249.1382),#h9
(25,   125,    243.1239), #h10
(225, 125 , 249.5332), #h11

(25,  75,  244.4780),#h12
(75,   75, 245.1523),  #h13
(175,   75,    248.9717),#h14
(225,   75,    249.4562),#h15
(25, 25 ,  245.1523), #h16
(75,  25,  245.8214),#h17

(125,   25, 247.1543),  #h18
(175,   25,    248.4819),#h19
(225,   25,    249.3144)) #h20
``````

xi, yi = pl.arange(0, 250, 1), pl.arange(0, 250, 1) #create grid

head = pl.griddata(x, y, z, xi, yi) #interpolate the scattered data !
#print shape(xi)
#print shape(yi)
f = pl.figure(1)
pl.scatter(x, y)
pl.colorbar() # draw colorbar

#pl.show()

f = pl.figure(2)
ax = axes3d.Axes3D(f)
#X,Y,Z = axes3d.get_test_data(0.05)
ax.clabel(cset, fontsize=9, inline=1)
ax.set_xlabel(‘X’)
ax.set_ylabel(‘Y’)

f = pl.figure(3)
ax = axes3d.Axes3D(f)
#X,Y,Z = axes3d.get_test_data(0.05)
ax.clabel(cset, fontsize=9, inline=1)
ax.set_xlabel(‘X’)

ax.set_ylabel(‘Y’)

f = pl.figure()
[X,Y]=meshgrid(xi,yi)
print shape(X),shape(Y)
ax = axes3d.Axes3D(f)
#X,Y,Z = axes3d.get_test_data(0.05)

ax.set_xlabel(‘X’)
ax.set_ylabel(‘Y’)

pl.show()

Everything is working fine except the surface plot which results in a weird black surface.

How do I control the parameters of the surface ? I could not really understand the python code underlying of axes3d.py
I attached a screenshot to see

Any help would be appreciated,

thanks,

Oz Nahum,

Center for Applied Geosciences
Univesität Tübingen

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