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up vote 3 down vote favorite

I wanted to get a 3D plot with matplotlib module. Below is some of my source code.

(LTV,DTI,FICO) = readData('Acquisition_2007Q1.txt')
x = np.array(LTV)
y = np.array(DTI)
z = np.array(FICO)

fig = plt.figure()
ax = fig.gca(projection='3d')
Axes3D.plot_trisurf(x, y, z, cmap = cm.jet)

The x, y, and z are like:

array([56, 56, 56, ..., 62, 62, 62])
array([37, 37, 37, ..., 42, 42, 42])
array([734, 734, 734, ..., 709, 709, 709])

However, I got the error below:

AttributeError                            Traceback (most recent call last)
<ipython-input-22-5c9578cf3311> in <module>()
      1 fig = plt.figure()
      2 ax = fig.gca(projection='3d')
----> 3 Axes3D.plot_trisurf(x, y, z, cmap = cm.jet)

/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/site-packages/mpl_toolkits/mplot3d/axes3d.py in plot_trisurf(self, *args, **kwargs)
   1828         """
   1829 
-> 1830         had_data = self.has_data()
   1831 
   1832         # TODO: Support custom face colours

AttributeError: 'numpy.ndarray' object has no attribute 'has_data'
share|improve this question
up vote 3 down vote accepted

It should be 

(LTV,DTI,FICO) = readData('Acquisition_2007Q1.txt')
x = np.array(LTV)
y = np.array(DTI)
z = np.array(FICO)

fig = plt.figure()
ax = fig.gca(projection='3d')
ax.plot_trisurf(x, y, z, cmap = cm.jet)

The Axes3D.plot_trisurf line is calling the un-bound class method plot_trisurf of the Axes3D class. It expects an instance of Axes3D to be the first argument (which is normally taken care of when the method is bound to an instance).

share|improve this answer
    
True. It's very helpful! Thank you. – Eaton Chow Apr 20 '15 at 4:02
    
I had the same problem because the docs for Axes3D don't give any examples. – Max Apr 15 '16 at 12:41

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