Plot 3d data

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WorksForMe(TM) in Sagecell and in Sage 9.6.rc3. Let's assess the density of a bivariate standard normal by plotting 1000 random points (I use R's functions by pure laziness...) :

set_random_seed(0)
X=r.rnorm(1000,0,1)._sage_()
Y=r.rnorm(1000,0,1)._sage_()
Z=r.dnorm(list(map(lambda u,v:sqrt(u^2+v^2), X, Y)),0,1)._sage_()
P=list_plot3d(list(zip(X,Y,Z)))
show(P, aspect_ratio=[1,1,5])

See for yourself !

HTH,

Shooting in the dark, here is a tentative

def plot_cloud_matrix(M):
    m = len(M)
    n = len(M[0])
    P = point3d(M[0][0])
    for i in range(m-1):
        for j in range(n-1):
            pta = M[i][j]
            ptb = M[i+1][j]
            ptc = M[i+1][j+1]
            ptd = M[i][j+1]
            P += polygon3d([pta,ptb,ptc,ptd])
    return P

plot_cloud_matrix([[(0,1,2),(0,1,1.2)],[(0.5,1,2),(0.1,1,1.1)]])