Python三维散点图

利用Python实现三维散点图

from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from pylab import *
mpl.rcParams['font.sans-serif'] = ['SimHei']

data = pd.read_excel(u'E:\附件一：已结束项目任务数据.xls',sheetname='t_tasklaunch')
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


# np.random.rand(n)产生1*n数组，元素大小0-1
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 = data["任务gps经度"]
    ys = data["任务gps 纬度"]
    zs = data["任务执行情况"]
    ax.scatter(xs, ys, zs, c=c, marker=m)

ax.set_xlabel('任务gps经度')
ax.set_ylabel('任务gps纬度')
ax.set_zlabel('任务执行情况')

plt.show()

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