Hi-
I was working off of the example listed at
http://matplotlib.sourceforge.net/examples/pylab_examples/griddata_demo.html,
adapting it to my own data, and encountered the following error on MLAB
1.1.0, Python 2.7.2:
<code>
from numpy.random import uniform, seed
from matplotlib.mlab import griddata
import matplotlib.pyplot as plt
import numpy as np
# make up data.
#npts = int(raw_input('enter # of random points to plot:'))
seed(0)
npts = 200
x = uniform(-2,2,npts)
y = uniform(-2,2,npts)
z = x*np.exp(-x**2-y**2)
xi = np.linspace(0,60,100) # <= my xdata range
yi = np.linspace(0,0.9,200) # <= my ydata range
zi = griddata(x,y,z,xi,yi,interp='linear')
</code>
which produces
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
C:\Users\Ethan\code\PythonScripts\<ipython-input-7-51e10e494403> in
<module>()
----> 1 zi = griddata(x,y,z,xi,yi,interp='linear')
It seems that 'xi,yi = np.meshgrid(xi,yi)' from line 2766 of mlab.py
doesn't always produce uniformly spaced data, as the test for uniform
data fails at line 2779. Ignoring the error, however, results in
satisfactory evaluation of interp() on 2783.
Can anyone else reproduce?
Regards,
Ethan
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