[Matplotlib-users] Convex Hull -- Question about Point Size

[Lorenzo I. <lor...@gm...>]

Dear All,
Thanks to what I found here

http://bit.ly/1qJlWkP

I discovered how to plot the convex hull around a set of points
(please have a look at the script pasted at the end of the email).
Everything is almost done,but I have a problem: my "points" are not
really point-like: they are sphere whose radius is 1 and they almost
touch each other.
I do not know how to tune the parameter s so that the radius of the
points is equal to one in the same units in which I measure the
positions of the points themselves.
Any help is appreciated.
Cheers

Lorenzo



################################################################à


import numpy as np
import pylab as pl
import scipy as sp
from scipy.spatial import ConvexHull
from scipy.spatial.distance import euclidean
import matplotlib.pyplot as plt
import mpl_toolkits.mplot3d as a3


cluster_agglomerate=np.array([[ 0.14513811, -0.18930948, -1.44428171],
       [ 0.88042945,  1.67057596, -1.45742688],
              [-1.66682741, -0.99554261, -1.70267889],
	             [-0.95535694,  2.3159907 , -1.93637881],
		            [ 1.09396798,  1.7987614 , -3.44524095],
			           [-2.63620654,  0.16588691,
       -3.02436539],
              [ 0.19027056,  2.70740725,  0.11479029],
	             [ 2.77638842,  1.70535678, -2.10208878],
		            [-0.09149779, -0.81908733,  2.07425244],
			           [-0.48408772,  0.96793567,
       1.26652603],
              [ 0.67499278, -2.5386008 ,  1.39914827],
	             [ 1.02571108, -1.60932884, -0.34500693],
		            [ 2.78789155, -1.42050584,  0.59682802],
			           [-0.14688239, -2.36883246,
       3.35177362],
              [-1.71507089,  0.19184887,  2.68408562],
	             [-1.87886026, -1.58255618,  3.97006406],
		            [ 6.61540229,  1.98324725,  0.82767368],
			           [ 7.46818823,  3.00950487,
       -0.66214223],
              [ 4.80777628,  1.97159273,  1.68344958],
	             [ 6.3548727 ,  2.26459561,  2.92819854],
		            [ 4.70026626,  0.44618044,  0.3866837 ],
			           [ 3.44366671,  1.87939977,
       -0.2203051 ],
              [ 2.92460648,  1.98510457,  2.37510769],
	             [ 5.07053866, -0.10349542, -1.51041234],
		            [ 7.21643437, -1.32050186, -0.70707322],
			           [ 6.93292243,  0.58458074,
       -1.2458508 ],
              [ 7.84238244, -2.97562362, -1.63914669],
	             [ 7.43212373,  0.10620418,  0.68315389],
		            [ 9.59692827, -2.0843759 , -1.26623658],
			           [ 8.34540867, -1.14927294,
       1.95073173],
              [ 6.57425162, -2.13797392, -2.94804639],
	             [ 6.93340304, -4.4591665 , -0.63578546]])



# see http://bit.ly/1qJlWkP



# Generate random points & convex hull
points =  cluster_agglomerate  # np.random.rand(20,3)
print "points are, ", points
hull = ConvexHull(points)
print "I calculated the convex hull"



ax = a3.Axes3D(pl.figure())
facetCol = [1, 0.0, 0.0]

ax.plot_trisurf(points[:,0], points[:,1], points[:,2],
                triangles=hull.simplices)


ax.scatter(points[:,0], points[:,1], points[:,2], s=100)

plt.axis('off')
plt.show()