import numpy as np

# x, y, z 均为 0 到 1 之间的 100 个随机数
x = np.random.normal(0, 1, 100)
y = np.random.normal(0, 1, 100)
z = np.random.normal(0, 1, 100)

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

fig = plt.figure()
ax = Axes3D(fig)

ax.scatter(x, y, z)
plt.show()

# 载入模块
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np

# 生成数据
x = np.linspace(-6 * np.pi, 6 * np.pi, 1000)
y = np.sin(x)
z = np.cos(x)

# 创建 3D 图形对象
fig = plt.figure()
ax = Axes3D(fig)

# 绘制线型图
ax.plot(x, y, z)

# 显示图
plt.show()

# 载入模块
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np

# 创建 3D 图形对象
fig = plt.figure()
ax = Axes3D(fig)

# 生成数据并绘图
x = [0, 1, 2, 3, 4, 5, 6]
for i in x:
  y = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
  z = abs(np.random.normal(1, 10, 10))
  ax.bar(y, z, i, zdir='y', color=['r', 'g', 'b', 'y'])
plt.show()

# 载入模块
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D

# 创建 3D 图形对象
fig = plt.figure()
ax = Axes3D(fig)

# 生成数据
X = np.arange(-2, 2, 0.1)
Y = np.arange(-2, 2, 0.1)
X, Y = np.meshgrid(X, Y)
Z = np.sqrt(X ** 2 + Y ** 2)

# 绘制曲面图，并使用 cmap 着色
ax.plot_surface(X, Y, Z, cmap=plt.cm.winter)

plt.show()

# -*- coding: utf-8 -*
# 载入模块
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
import matplotlib.pyplot as plt

# 创建 3D 图形对象
fig = plt.figure()
ax = Axes3D(fig)

# 生成数据并绘制图 1
x1 = np.linspace(-3 * np.pi, 3 * np.pi, 500)
y1 = np.sin(x1)
ax.plot(x1, y1, zs=0, c='red')

# 生成数据并绘制图 2
x2 = np.random.normal(0, 1, 100)
y2 = np.random.normal(0, 1, 100)
z2 = np.random.normal(0, 1, 100)
ax.scatter(x2, y2, z2)

# 显示图
plt.show()

# -*- coding: utf-8 -*
# 载入模块
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np

# 创建 1 张画布
fig = plt.figure()

#===============

# 向画布添加子图 1 
ax1 = fig.add_subplot(1, 2, 1, projection='3d')

# 生成子图 1 数据
x = np.linspace(-6 * np.pi, 6 * np.pi, 1000)
y = np.sin(x)
z = np.cos(x)

# 绘制第 1 张图
ax1.plot(x, y, z)

#===============

# 向画布添加子图 2
ax2 = fig.add_subplot(1, 2, 2, projection='3d')

# 生成子图 2 数据
X = np.arange(-2, 2, 0.1)
Y = np.arange(-2, 2, 0.1)
X, Y = np.meshgrid(X, Y)
Z = np.sqrt(X ** 2 + Y ** 2)

# 绘制第 2 张图
ax2.plot_surface(X, Y, Z, cmap=plt.cm.winter)

# 显示图
plt.show()