from mpl_toolkits.mplot3d import Axes3D 然后使用下面的两种方式之一声明要创建三维子图: ax = fig.gca(projection='3d') ax = plt.subplot(111, projection='3d') 接下来就可以使用ax的plot()方法绘制三维曲线、plot_surface()方法绘制三维曲面、scatter()方法绘制
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**2fig=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() 运行即可得到三维曲面图。 3...
然后,我们可以使用matplotlib的hist函数来计算数据的直方图,并将其转换为频率分布曲面图: plt.hist(data, bins=30, edgecolor='k') plt.xlabel('Value') plt.ylabel('Frequency') plt.title('Frequency Distribution Surface Plot') plt.show() 在这个例子中,我们使用了30个bins来将数据分成30个区间,并计算每个...
(colums) of image #绘图初始处理 fig = plt.figure(figsize=(16,12)) ax = fig.gca(projection="3d") x = np.arange(0, w, 1) y = np.arange(0, h, 1) x, y = np.meshgrid(x,y) z = imgd surf = ax.plot_surface(x, y, z, cmap=cm.coolwarm) #自定义z轴 ax.set_zlim(-10,...
meshgrid(X, Y) R = np.sqrt(X**2 + Y**2) Z = np.sin(R) ax.plot_surface(X, Y, Z, rstride=1, cstride=1, cmap='hot') plt.show()import numpy as np import matplotlib.pyplot as plt n = 8 X,Y = np.mgrid[0:n,0:n] plt.quiver(X,Y) plt.show()1.1.5. 索引和切片...
0.95, 0.95), projection='3d') ax.plot_surface(x, y, z, rstride=1, cstride=1, cmap='RdBu_r', vmin=-0.5, vmax=0.5) ax.set_xlabel('X') ax.set_ylabel('Y') ax.set_xticks(np.arange(-1, 1.1, 0.5)) ax.set_yticks(np.arange(-1, 1.1, 0.5)) ax.set_zlabel('Z') plt.show...
面向对(Object-Oriented)的方式,接近Matplotlib基础和底层的方式,难度稍大,但定制能力强,而且是Matplorlib的精髓 总结:实战中推荐,根据需求,综合使用 pyplot和OO的方式,显示导入Numpy 常用模块导入代码: import matplotlib pyplot as plt import numpy as np ...
7. Libraries: Progress_Bar, Plot, Table, Console_App, GUI, Scraping, Web, Profile. 8. Multimedia: NumPy, Image, Animation, Audio, Synthesizer, Pygame, Pandas, Plotly. Main if __name__ == '__main__': # Skips next line if file was imported. main() # Runs `def main(): ...` ...
surf = ax1.plot_surface(xx, yy, z, rstride=2, cstride=2, cmap=plt.cm.coolwarm) ax1.set_zlabel('zData') xxnew, yynew = np.meshgrid(xnew, ynew) # 将一维数组 xnew, ynew 转换为网格点集(二维数组) print("\txxnew:{},yynew:{},znew:{}".format(xxnew.shape,yynew.shape,znew...
surf = ax.plot_wireframe(X, U, LIN)surf = ax.plot_surface(X, U, DXDT, cmap=cm.coolwarm, linewidth=0, antialiased=False)# Customize the z axis.ax.set_zlim(-10.0, 5.0)ax.zaxis.set_major_locator(LinearLocator(10))ax.zaxis.set_major_formatter(FormatStrFormatter('%.02f'))# Add a...