from mpl_toolkits.mplot3d import Axes3D import matplotlib.pyplot as plt import numpy as np # Fixing random state for reproducibility np.random.seed(19680801) def randrange(n, vmin, vmax): ''' Helper function to make an array of random numbers having shape (n, ) with each number distribute...
importmatplotlib.pyplotaspltfrommpl_toolkits.mplot3dimportAxes3Dimportnumpyasnp fig=plt.figure()ax=fig.add_subplot(111,projection='3d')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))ax.contour3D(x,y,z,50,cmap='binary')ax.set...
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],...
result1 = np.array([loss_function(X, y, i, theta2) for i in theta1_space]) result2 = np.array([loss_function(X, y, theta1, i) for i in theta2_space]) fig1 = plt.figure(figsize=(8, 6)) plt.subplot(221) plt.plot(theta1_space, result1) plt.subplot(222) plt.plot(theta...
frommpl_toolkits.mplot3dimportAxes3Dfrommatplotlibimportcmfrommatplotlib.tickerimportLinearLocatorimportmatplotlib.pyplotaspltimportnumpyasnpfig=plt.figure()ax=fig.gca(projection='3d')#ax = axes3d.Axes3D(fig)[x,t]=np.meshgrid(np.array(range(25))/24.0,np.arange(0,575.5,0.5)/575*17*np.pi-2*...
frommpl_toolkits.mplot3dimportAxes3D frommatplotlibimportcm importpandas as pd importseaborn as sns fromscipyimportinterpolate df_epsilon_alpha=pd.read_excel('实验记录_超参数.xlsx',sheet_name='epsilon_alpha') #生成数据 epsilon=np.array(df_epsilon_alpha['epsilon'].values) ...
array([3,2,1,1,2]) playing = np.array([7,6,14,12,4]) plt.figure(figsize=(9,6)) plt.stackplot(days,working,sleeping,eating,playing) plt.legend(['working','sleeping','eating','playing']) plt.show() 蜘蛛图 - 雷达图 labels = np.array(['武力值','战斗值','能量值','知识...
首先在进行 3D Plot 时除了导入 matplotlib ,还要额外添加一个模块,即 Axes 3D 3D 坐标轴显示: import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D 之后要先定义一个图像窗口,在窗口上添加3D坐标轴,显示成下图: ...
今晚开始接触 Matplotlib 的 3D 绘图函数 plot_surface,真的非常强大,图片质量可以达到出版级别,而且 3D 图像可以旋转 ,可以从不同角度来看某个 3D 立体图,但是我发现各大中文开源社区有关 3D 绘图的代码都是千篇一律的,现除了看源码说明,我几乎得不到半点有关 plot_
array([0, 8, 0, 8])plt.subplot(2, 2, 2)plt.plot(x,y)plt.title("plot 2")plt.grid()x = np.arange(-1*np.pi, np.pi, 0.1)y = np.sin(x)plt.subplot(2, 1, 2)plt.plot(x,y)plt.title("plot 3")plt.grid()plt.suptitle("Neutech")plt.show()补充拓展总标题名称Neutechplt....