3D Plotting from X, Y, Z Data, Excel or other Tools

You really can't display 3 columns of data as a 'surface'. Only having one column of 'Z' data will give you a line in 3 dimensional space, not a surface (Or in the case of your data, 3 separate lines). For Excel to be able to work with this data, it needs to be formatted as shown below:

      13    21   29      37    45   
1000  75.2                              
1000       79.21                            
1000             80.02                      
5000             87.9                   
5000                    88.54               
5000                           88.56            
10000            90.11      
10000                   90.79   
10000                          90.87

Then, to get an actual surface, you would need to fill in all the missing cells with the appropriate Z-values. If you don't have those, then you are better off showing this as 3 separate 2D lines, because there isn't enough data for a surface.

The best 3D representation that Excel will give you of the above data is pretty confusing:

Representing this limited dataset as 2D data might be a better choice:

As a note for future reference, these types of questions usually do a little better on superuser.com.

I ended up using matplotlib :)

from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm
import matplotlib.pyplot as plt
import numpy as np
x = [1000,1000,1000,1000,1000,5000,5000,5000,5000,5000,10000,10000,10000,10000,10000]
y = [13,21,29,37,45,13,21,29,37,45,13,21,29,37,45]
z = [75.2,79.21,80.02,81.2,81.62,84.79,87.38,87.9,88.54,88.56,88.34,89.66,90.11,90.79,90.87]
fig = plt.figure()
ax = fig.gca(projection='3d')
ax.plot_trisurf(x, y, z, cmap=cm.jet, linewidth=0.2)
plt.show()