Code: Alles auswählen
'''
==============
3D scatterplot
==============
Demonstration of a basic scatterplot in 3D.
'''
# This import registers the 3D projection, but is otherwise unused.
from mpl_toolkits.mplot3d import Axes3D # noqa: F401 unused import
import matplotlib.pyplot as plt
import numpy as np
# Fixing random state for reproducibility
def randrange(n, vmin, vmax):
'''
Helper function to make an array of random numbers having shape (n, )
with each number distributed Uniform(vmin, vmax).
'''
return (vmax - vmin)*np.random.rand(n) + vmin
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
n = 100
# For each set of style and range settings, plot n random points in the box
# defined by x in [23, 32], y in [0, 100], z in [zlow, zhigh].
for m, zlow, zhigh in [('o', -50, -25), ('^', -30, -5)]:
xs = randrange(n, 23, 32)
ys = randrange(n, 0, 100)
zs = randrange(n, zlow, zhigh)
ax.scatter(xs, ys, zs, marker=m)
ax.set_xlabel('X Label')
ax.set_ylabel('Y Label')
ax.set_zlabel('Z Label')
plt.show()
Wenn ich dieses ausführe (autogeneriert):
Code: Alles auswählen
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
points = [
(1.2,5,6),
(1.2,7,6),
(1.2,5,6),
(1.2,8,6),
(7,8,5),
(5,7,6),
(1,2,3),
(4,5,6),
(2,1,1),
]
rectangle = [
((1,1,1),(2,2,2),(1,3,4)),
((2,3,4),(9,9,9),(3,4,5)),
]
for val in points:
(x,y,z) = val
ax.scatter(x, y, z, marker='o')
plt.show()Vielen Danl
