matplotlib 三维图表绘制方法简介

from matplotlib import pyplot as plt
from mpl_toolkits.mplot3d import Axes3D

import numpy
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D

theta = numpy.linspace(0, 3.14*4, 200)
r = numpy.linspace(0, 1, 200)
x = r * numpy.cos(theta)
y = r * numpy.sin(theta)
z = numpy.linspace(0, 2, 200)

fig = plt.figure(figsize=(12, 7))
ax1 = plt.axes(projection='3d')
ax1.plot(x, y, z)
plt.show()

import numpy
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D

x = numpy.linspace(-2, 2, 10)
y = numpy.linspace(-2, 2, 10)
xx, yy = numpy.meshgrid(x, y)
z = xx ** 2 - yy ** 2

fig = plt.figure(figsize=(12, 7))
ax1 = plt.axes(projection='3d') # 创建三维坐标轴
ax1.scatter(xx, yy, z) # 绘制三维散点图
plt.show()

import numpy
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D

x = numpy.linspace(-2, 2, 10)
y = numpy.linspace(-2, 2, 10)
xx, yy = numpy.meshgrid(x, y)
print(xx.shape, yy.shape)
z = xx ** 2 - yy ** 2

fig = plt.figure(figsize=(12, 7))
ax1 = plt.axes(projection='3d') # 创建三维坐标轴
ax1.plot_surface(xx, yy, z) # 绘制三维曲面图
plt.show()