# 创建交互式散点图 fig = go.Figure(data=[go.Scatter3d(x=x_data, y=y_data, z=z_data, mode='markers')]) fig.update_layout(scene=dict(xaxis_title='X', yaxis_title='Y', zaxis_title='Z'), title='Interactive 3D Scatter Plot') fig.show() 通过将鼠标悬停在数据点上,用户可以查看...
fig = go.Figure(data=[go.Scatter3d(x=x_data, y=y_data, z=z_data, mode='markers')]) fig.update_layout(scene=dict(xaxis_title='X', yaxis_title='Y', zaxis_title='Z'), title='Interactive 3D Scatter Plot') fig.show() 1. 2. 3. 4. 5. 通过将鼠标悬停在数据点上,用户可以查看...
fig = go.Figure(data=[go.Scatter3d(x=x_data, y=y_data, z=z_data, mode='markers')]) fig.update_layout(scene=dict(xaxis_title='X', yaxis_title='Y', zaxis_title='Z'), title='Interactive 3D Scatter Plot') fig.show() 通过将鼠标悬停在数据点上,用户可以查看每个数据点的具体数值,...
3、3D流形可视化 dim1=0dim2=1dim3=2pos_lin_bin=data_result['pos_lin_bin']lin_pos_sm=data_result['lin_pos_sm']pos_x=data_result['pos_x']pos_y=data_result['pos_y']trial_num_bin=data_result['trial_num_bin']data_len=data_result['data_len']# make interactive plot with plotlyf...
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],...
Users can load a dataset of their choice and navigate to the segmentation workroom and use the Interactive Brush to add supervised labels to the features in the image to segment on a slice. Download script Shale/EagleFord sampl...
借助LS-Reader,对D3plot类型文件中的部分仿真结果进行了提取,包括节点坐标(D3P_NODE_COORDINATES)、节点速度(D3P_NODE_VELOCITIES)、单元节点索引(D3P_SHELL_CONNECTIVITY_MAT)、流体密度(D3P_2D_ALE_DENSITY)、单元内能密度(D3P_SHELL_INTERNAL_ENERGY_DENSITY)、物质体积分数(D3P_2D_ALE_VOLUME_FRACTION)和单元应力(...
Users can load a dataset of their choice and navigate to the segmentation workroom and use the Interactive Brush to add supervised labels to the features in the image to segment on a slice. Download script Shale/EagleFord ...
在Matplotlib 的 mpl_toolkits.mplot3d 模块中,绘制 3D 图的一般流程包括以下步骤: (1)导入必要的库和模块: import matplotlib.pyplot as pltfrom mpl_toolkits.mplot3d import Axes3D (2)创建一个 3D 图形的绘图对象: fig = plt.figure() (3) 创建一个 3D 子图: ...
modify the data visualized via an interactive dialog. 进一步学习:http://docs.enthought.com/mayavi/mayavi/index.html 下载1:OpenCV-Contrib扩展模块中文版教程 在「小白学视觉」公众号后台回复:扩展模块中文教程,即可下载全网第一份OpenCV扩展模块教程中文版,涵盖扩展模块...