Python, load and list a .csv in a numpy array

I am loading a .csv file with this code:

import csv
import numpy as np
import scipy.spatial

points = np.array([((int(R), int(G), int(B)),float(X), float(Y), float(Z))
              for R, G, B, X, Y, Z in csv.reader(open('XYZcolorlist_D65.csv'))])
    # load R,G,B,X,Y,Z coordinates of 'points' in a np.array  

print points 

And that works fine.

However, if I add this further line, where I am trying to compute a Delaunay triangulation with scipy: http://docs.scipy.org/doc/scipy/reference/generated/scipy.spatial.Delaunay.html

tri = scipy.spatial.Delaunay(points[1, 2, 3])
# do the triangulation

I get this error message:

Traceback (most recent call last):
  File "C:\Users\gary\Documents\EPSON STUDIES\delaunay.py", line 15, in <module>
    tri = scipy.spatial.Delaunay(points[1, 2, 3])
IndexError: too many indices

Obviously the syntax scipy.spatial.Delaunay(points[1, 2, 3]) isn't correct.

What is it that I am doing wrong?

EDIT:

If it's easier to handle, I can also use this line to import (np arrays should be of same type of data?)

points = np.array([(float(R), float(G), float(B), float(X), float(Y), float(Z))
              for R, G, B, X, Y, Z in csv.reader(open('XYZcolorlist_D65.csv'))])
    # load R,G,B,X,Y,Z coordinates of 'points' in a np.array   

Then I would need to skip the first 3 values in each row...