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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 :

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 fpr yourself !

HTH,

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 yse 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 fpr yourself !

HTH,

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 yse 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 fpr for yourself !

HTH,

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 yse 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,