matplotlib在在python上绘制上绘制3D散点图实例详解散点图实例详解
主要介绍了matplotlib在python上绘制3D散点图实例详解，首先介绍了官网的实例，然后分享了本文简单代码示
例，具有一定借鉴价值，需要的朋友可以了解下。
大家可以先参考官方演示文档：
效果图：
'''
==============
3D scatterplot
==============
Demonstration of a basic scatterplot in 3D.
'''
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np
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 c, m, zlow, zhigh in [('r', 'o', -50, -25), ('b', '^', -30, -5)]:
xs = randrange(n, 23, 32)
ys = randrange(n, 0, 100)
zs = randrange(n, zlow, zhigh)
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()
以上是官网上的代码示例及演示结果，下面分享下本文代码示例。
本实例需要导入第三包：
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