[SciPy-User] Linear interpolation in 3D
Hardock, Andreas
andreas.hardock@isc.fraunhofer...
Thu Jul 29 01:09:03 CDT 2010
Hi,
I'm trying to interpolate a 3D data (from the pic attached) with the interp2d command. What I have, are three vectors f, z, A (x, y, z respectively, A is the percentage data given on the isolines). I first put the f and z in a meshgrid and afterwards in the griddata to get a 3D-grid then started the interpolateion. I plotted the the data after gridding, and I observed that almost all nodes are ignored.
Do you have any idea how to prepare data to the interp2d command? Don't hesitate to suggest any other solution.
my code so far is:
import numpy as np
from mpl_toolkits.mplot3d import axes3d
from scipy.interpolate import interp2d
import matplotlib.pyplot as plt
from matplotlib import mlab
plt.clf()
fig = plt.figure(1)
ax = axes3d.Axes3D(fig)
#read data
(ff,ZZ,A,a) = np.loadtxt("accuracy-map.txt", unpack=True)
f=np.log10(ff)
z=np.log10(ZZ)
##grid everything
fgrid, zgrid=np.meshgrid(f,z)
#define grid
ef=np.linspace(min(f), max(f), len(f))
ez=np.linspace(min(z), max(z), len(f))
Agrid=mlab.griddata(f,z,A, ef,ez)
int2d=interp2d(fgrid, zgrid, Agrid, kind='linear')
ax.plot(f, z, A, 'ok', markerfacecolor='w')
ax.plot_surface(fgrid, zgrid, Agrid)
ax.set_xlim3d((min(f), max(f)))
ax.set_ylim3d(min(z), max(z))
ax.set_zlim3d(0,100)
plt.show()
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