mplot3d import Axes3D 4 x = np.array([0,1,2]) 5 y = np.array([0,1]) 6 X,Y = np.meshgrid(x,y)#X,Y扩展成了矩阵, 7 print(X) 8 print(Y) 9 theta0, theta1, theta2 = 2, 3, 4 10 ax = Axes3D(plt.figure())#用来画三维图 11 Z = theta
mplot3d import Axes3D 4 x = np.array([0,1,2]) 5 y = np.array([0,1]) 6 X,Y = np.meshgrid(x,y)#X,Y扩展成了矩阵, 7 print(X) 8 print(Y) 9 theta0, theta1, theta2 = 2, 3, 4 10 ax = Axes3D(plt.figure())#用来画三维图 11 Z = theta0 + theta1*X + theta2*Y...
from mpl_toolkits.mplot3d import Axes3D importnumpyas np X = np.array([-1, 0, 1]) Y = np.array([-1, 0, 1]) X, Y = np.meshgrid(X, Y) Z = X + Y fig = plt.figure() ax = fig.add_subplot(111, projection='3d') ax.plot_wireframe(X, Y, Z, color='r') plt.show(...
# 设置 x 轴的数据范围和步长x=np.arange(-5,5,0.1)# 设置 y 轴的数据范围和步长y=np.arange(-5,5,0.1)# 生成 x, y 坐标的网格X,Y=np.meshgrid(x,y) 1. 2. 3. 4. 5. 6. 步骤3:循环生成数据并绘图 最后,我们需要循环生成数据并绘制3D图形。 foriinrange(3):# 循环3次,每次生成一个3D...
meshgrid 1 import numpy as np 2 from matplotlib import pyplot as plt 3 from mpl_toolkits.mplot3d import Axes3D 4 x = np.array([0,1,2]) 5 y = np.array([0,1]) 6 X,Y = np.meshgrid(x,y)#X,Y扩展成了矩阵, 7 print(X) ...
ax = fig.add_subplot(111, projection='3d')x = np.linspace(-5, 5, 100)y = np.linspace(-5, 5, 100)X, Y = np.meshgrid(x, y)Z = np.sin(np.sqrt(X**2 + Y**2))surf = ax.plot_surface(X, Y, Z, cmap='coolwarm')plt.show()A选项:输出图像是一个点图B选项:输出图像是一...
python的meshgrid⽤法和3D库mpl_toolkits.mplot3d与Pol。。。meshgrid 1 import numpy as np 2from matplotlib import pyplot as plt 3from mpl_toolkits.mplot3d import Axes3D 4 x = np.array([0,1,2])5 y = np.array([0,1])6 X,Y = np.meshgrid(x,y)#X,Y扩展成了矩阵，7 print(X)8 ...
3. 3D条形图(3D Bar Plot) 代码语言:javascript 代码运行次数:0 运行 AI代码解释 import matplotlib.pyplot as plt import numpy as np # 数据准备 x = np.arange(3) # x轴位置 y = np.arange(3) # y轴位置 x_mesh, y_mesh = np.meshgrid(x, y) # 创建网格 z = np.array([[1, 2, 3],...
使用`plot_wireframe`函数在3D空间中绘制网格线图。 import numpy as npimport matplotlib.pyplot as pltfrom mpl_toolkits.mplot3d import Axes3D# 创建数据x = np.linspace(-5, 5, 100)y = np.linspace(-5, 5, 100)X, Y = np.meshgrid(x, y)Z = np.sin(np.sqrt(X ** 2 + Y ** 2))#...
using PyPlot # 生成数据 x = range(-5, stop=5, length=100) y = range(-5, stop=5, length=100) f(x, y) = sin(sqrt(x^2 + y^2)) # 绘制3D曲面 fig = figure() ax = fig.add_subplot(111, projection="3d") X, Y = meshgrid(x, y) Z = f.(X, Y) ax.plot_surface(X, ...