ax = fig.add_subplot(111, projection='3d') # 生成数据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)) # 绘制3D曲面图ax.plot_surface(x, y, z, cmap='viridis') # 设置坐标轴标签ax.set_xlabel('X'...
fig=plt.figure() ax=fig.add_subplot(111, projection='3d') 编辑 二、直线绘制(Line plots) 基本用法: 1 ax.plot(x,y,z,label=' ') code: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 importmatplotlib as mpl frommpl_toolkits.mplot3dimportAxes3D importnumpy as np import...
ax = fig.add_subplot(111, projection='3d') 二、直线绘制(Line plots) 基本用法: 1 ax.plot(x,y,z,label=' ') code: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 import matplotlib as mpl from mpl_toolkits.mplot3d import Axes3D import numpy as np import matplotlib.pyplot...
from mpl_toolkits.mplot3d import axes3d 1)这是在 3-D 空间上绘图所需的模块。 ax1 = fig.add_subplot(111, projection='3d') 2)在图形上创建一个子图并将投影参数设置为 3d。 ax1.scatter(x, y, z, c = 'm', marker = 'o') 3)使用 ...
3D 帽子图2 30import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D fig = plt.figure() # 指定图形类型为 3d 类型ax = fig.add_subplot(111, projection='3d') # X, Y valueX = np.arange(-5, 5, 0.25) ...
ax = fig.add_subplot(111, projection=’3d’)def update(frame):x1, y1, z1, x2, y2, z2 = generate_data(frame)ax.scatter(x1, y1, z1, color=’red’, label=’Trajectory 1’)ax.scatter(x2, y2, z2, color=’blue’, label=’Trajectory 2’)ax.set_xlim(-2, 2)ax.set_ylim(-...
fig = plt.figure() ax = fig.add_subplot(111, projection='3d') # 生成曲线箭头的数据 t = np.linspace(0, 10, 100) x = np.cos(t) y = np.sin(t) z = t # 绘制曲线箭头 ax.plot(x, y, z) ax.quiver(x[-1], y[-1], z[-1], x[-1]-x[-2], y[-1]-y[-2], z[-1...
案例一:绘制3D线框图 (1)示例代码如下: import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import axes3d fig = plt.figure() ax = fig.add_subplot(111, projection='3d') # 获取测试数据 X, Y, Z = axes3d.get_test_data(0.05) ...
ax = fig.add_subplot(111, projection='3d') ax.plot(x, y, z) # 设置标题和坐标轴标签 ax.set_title('3D Curve Plot with 3 Axis Projection') ax.set_xlabel('X Axis') ax.set_ylabel('Y Axis') ax.set_zlabel('Z Axis') # 显示图形 plt.show() 这段代码将生成一个简单的3维曲线图形,...
fig = plt.figure() ax = fig.add_subplot(111, projection='3d') 三、准备数据 在创建三维坐标系之后,需要准备绘制图形的数据。根据您的需求,可以生成或者读取相应的数据。以一个简单的三维曲线为例,数据可以是三个维度上的一系列点: import numpy as np ...