#From http://docs.scipy.org/doc/scipy/reference/tutorial/interpolate.html

import numpy as np
from scipy import interpolate
import matplotlib.pyplot as plt

# Define function over sparse 20x20 grid

x,y = np.mgrid[-1:1:20j,-1:1:20j]
z = (x+y)*np.exp(-6.0*(x*x+y*y))

#plt.figure()
#plt.pcolor(x,y,z)
#plt.colorbar()
#plt.title("Sparsely sampled function.")
#plt.show()

# Interpolate function over new 70x70 grid

xnew,ynew = np.mgrid[-1:1:70j,-1:1:70j]
tck = interpolate.bisplrep(x,y,z,s=0)
znew = interpolate.bisplev(xnew[:,0],ynew[0,:],tck)

plt.figure()
plt.pcolor(xnew,ynew,znew)
plt.colorbar()
plt.title("Interpolated function.")
plt.show()