ax.set_zlabel('Z')ax.set_title('3D Scatter Plot')plt.show() # Call this last to ensure the plot is displayed in the notebook cell output area (if using Jupyter notebook) or in the GUI (if using a regular Python IDE) before executing the next line of code in the cell which woul...
3D散点import matplotlib as mpl import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D import numpy as np xs1 = np.random.randint(30,40,100) ys1 = np.random.randint(20,30,100) zs1 = …
Matplotlib 绘制 3D 图形使用 mplot3d Toolkit 即 mplot3d 工具包,在 matplotlib 中使用 mplot3d 工具包。绘制 3D 图可以通过创建子图,然后指定 projection 参数 为 3d 即可,返回的 ax 为 Axes3D 对象。mplot3d 官方学习文档 导入包: 3from matplotlib import cm from matplotlib.ticker import LinearLocator, F...
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...
l = plot3d(x, y, z, numpy.sin(mu), tube_radius=0.025, colormap='Spectral') ms = l.mlab_source for i in range(100): x = numpy.cos(mu) * (1+numpy.cos(n_long * mu/n_mer + numpy.pi * (i+1)/5.) * 0.5) scalars = numpy.sin(mu + numpy.pi * (i+1)/5) ...
将绘制的直线坐标传递给函数plot()。 通过函数plt.show()打开Matplotlib查看器,显示绘制的图形。 【示例】根据两点绘制一条线 代码语言:javascript 代码运行次数:0 运行 AI代码解释 # 导入matplotlib模块importmatplotlib.pyplotasplt #准备要绘制点的坐标(1,2)(4,8)# 调用绘制plot方法 ...
frommpl_toolkits.mplot3dimportAxes3D 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
ax = fig.gca(projection='3d') # Plot a sin curve using the x and y axes. x = np.linspace(0, 1, 100) y = np.sin(x * 2 * np.pi) / 2 + 0.5 ax.plot(x, y, zs=0, zdir='z', label='curve in (x,y)') # Plot scatterplot data (20 2D points per colour) on the x...
importnumpyasnpimportmatplotlib.pyplotaspltfrommpl_toolkits.mplot3dimportAxes3D# 创建数据x=np.linspace(-5,5,50)y=np.linspace(-5,5,50)X,Y=np.meshgrid(x,y)Z=np.sin(np.sqrt(X**2+Y**2))# 创建3D图形fig=plt.figure()ax=fig.add_subplot(111,projection='3d')# 绘制表面surf=ax.plot_su...
importnumpyasnpimportmatplotlib.pyplotaspltfrommpl_toolkits.mplot3dimportAxes3Dfig=plt.figure(figsize=(8,6))ax=fig.add_subplot(111,projection='3d')# 生成数据x=np.linspace(-5,5,50)y=np.linspace(-5,5,50)X,Y=np.meshgrid(x,y)Z=np.sin(np.sqrt(X**2+Y**2))# 绘制表面surf=ax.plot...