Is there any module that could aid me in producing something like this?
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These are not density plots, they're scatter plots (as you can tell by the method name in the accepted answer). I'm looking to make 3D density plots which is how I ended up here!Dan Stowell– Dan Stowell2013-10-01 17:21:16 +00:00Commented Oct 1, 2013 at 17:21
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3 Answers
Like this, say?
(source: sourceforge.net)
The matplotlib examples gallery is a wonderful thing to behold.
Code copied from the linked example.
import numpy as np
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
def randrange(n, vmin, vmax):
return (vmax-vmin)*np.random.rand(n) + vmin
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
n = 100
for c, m, zl, zh in [('r', 'o', -50, -25), ('b', '^', -30, -5)]:
xs = randrange(n, 23, 32)
ys = randrange(n, 0, 100)
zs = randrange(n, zl, zh)
ax.scatter(xs, ys, zs, c=c, marker=m)
ax.set_xlabel('X Label')
ax.set_ylabel('Y Label')
ax.set_zlabel('Z Label')
plt.show()
1 Comment
Ivo Flipse
Very nice answer, that should help him out :-)
Adapted from the Cookbook
from numpy import *
import pylab as p
import mpl_toolkits.mplot3d.axes3d as p3
x=random.randn(100)
y=random.randn(100)
z=random.randn(100)
fig=p.figure()
ax = p3.Axes3D(fig)
ax.scatter3D(ravel(x),ravel(y),ravel(z))
ax.set_xlabel('X')
ax.set_ylabel('Y')
ax.set_zlabel('Z')
p.show()
Comments
I think matplotlib should be able to do something like that.
