odeint import numpy as np import matplotlib.pyplot...函数的要求 track1 = track1.T track2 = track2.T #绘图 fig = plt.figure() ax = p3.Axes3D(fig) # Setting the...只能对二维数据进行,所以是0:2 #set_3d_properties(track1[2,0])对第3维进行set_data ball1.set_data(track1[...
y=dataself.__x.append(x)self.__y.append(y)self.__text.set_text(self.string.format(x))xm...
使用matplotlib进行 3D 可视化 借助mpl_toolkits.mplot3d,可以在matplotlib中实现 3D 图形绘制,常用于可视化复杂的三维数据。 from mpl_toolkits.mplot3d import Axes3D fig = plt.figure() ax = fig.add_subplot(111, projection='3d') x = [1, 2, 3, 4, 5] y = [4, 7, 3, 9, 2] z = [2,...
projection='3d')x=np.arange(5)y=np.random.rand(5)z=np.zeros(5)dx=np.ones(5)dy=np.ones(5)dz=[1,2,3,4,5]ax.bar3d(x,y,z,dx,dy,dz)ax.set_title("3D Bar Plot - how2matplotlib.com")plt.show()
ax.set_title('wireframe'); 表面图类似框线图,区别在于每个框线构成的多边形都使用颜色进行了填充。添加色图用于填充多边形能够让图形表面展示出来: ax = plt.axes(projection='3d') ax.plot_surface(X, Y, Z, rstride=1, cstride=1, cmap='viridis', edgecolor='none') ...
最后调用plot3D() 方法绘制 3d 图形,代码如下: #调用 ax.plot3D创建三维线图ax.plot3D(x,y,z,'gray')ax.set_title('3D line plot')plt.show() 完整程序如下所示: from mpl_toolkits import mplot3d import numpy as np import matplotlib.pyplot as plt ...
(12,10))ax=fig.add_subplot(111,projection='3d')surf=ax.plot_surface(X,Y,Z,rstride=4,cstride=4,linewidth=0.7,edgecolor='black',cmap='viridis',alpha=0.8)ax.set_title('Advanced 3D Surface Plot - how2matplotlib.com')ax.set_xlabel('X axis')ax.set_ylabel('Y axis')ax.set_zlabel('...
data2= np.loadtxt("./stereo/CameraTrajectoryNew1500.txt") first_1000= data2[:, 3] second_1000= data2[:, 7] third_1000= data2[:, 11]#new a figure and set it into 3dfig =plt.figure() ax= fig.gca(projection='3d')#set figure informationax.set_title("3D_Curve") ...
ax = fig.gca(projection='3d') # get current axes # Prepare arrays x, y, z theta = np.linspace(-4 * np.pi, 4 * np.pi, 100) z = np.linspace(-2, 2, 100) r = z**2 + 1 x = r * np.sin(theta) y = r * np.cos(theta) ...
set_title("三角形网格曲面",fontsize =16) plt.show() 六. 方块图 代码语言:javascript 代码运行次数:0 运行 AI代码解释 #numpy logo import matplotlib.pyplot as plt import numpy as np from mpl_toolkits.mplot3d import Axes3D def explode(data): size = np.array(data.shape)*2 data_e = np....