
Using the Mayavi application — mayavi 4.8.3.dev0 documentation
4 天之前 · Run Mayavi in off-screen mode without any graphical user interface. This is most useful for scripts that need to render images off-screen (for an animation say) in the background without an intrusive user interface popping up.
Mayavi: 3D scientific data visualization and plotting in Python
Welcome, this is the user guide for Mayavi, a application and library for interactive scientific data visualization and 3D plotting in Python. You want to use an interactive application to visualize your data in 3D? Read the Mayavi application section.
Installation — mayavi 4.8.3.dev0 documentation - Read the Docs
3 天之前 · Under Windows the best way to install Mayavi is to install a full Python distribution, such as Enthought Canopy, Pythonxy, or Anaconda. Note that for Pythonxy, you need to check in ‘ETS’ in the installer, when selecting components. If you want to reduce the disk space used by Pythonxy, you can uncheck other components.
mayavi - PyPI
2024年5月23日 · Mayavi is a general purpose, cross-platform tool for 2-D and 3-D scientific data visualization. Its features include: Visualization of scalar, vector and tensor data in 2 and 3 dimensions
Tips and Tricks — mayavi 4.8.2 documentation - Enthought
2024年5月23日 · Below are a few tips and tricks that you may find useful when you use Mayavi2. There are three different ways in which one can embed Mayavi visualizations in a Jupyter notebook. The best way is to use the 'ipy' backend (which is the default). This backend was first introduced in Mayavi 4.7.0.
An overview of Mayavi — mayavi 4.8.2 documentation - Enthought
2024年5月23日 · Mayavi2 is a general purpose, cross-platform tool for 3-D scientific data visualization. Its features include: Visualization of scalar, vector and tensor data in 2 and 3 dimensions. Easy scriptability using Python. Easy extendibility via custom sources, modules, and data filters. Saving of visualizations.
Example gallery — mayavi 4.8.2 documentation - Enthought
2024年5月23日 · A MayaVi example of how to generate an unstructured grid dataset using numpy arrays. Also shown is a way to visualize this data with mayavi2. The script can be run like so:
Building applications using Mayavi — mayavi 4.8.3.dev0 …
5 天之前 · In this section, we first show how an interactive dialog embedding a Mayavi scene can be built, using Traits. Then we show how to integrate this dialog in a WxPython or a PyQt (or PySide) application. Mayavi and TVTK are entirely built using the Traits library which provides easy callbacks and visualization for objects attribute.
关于mayavi配置的问题 - CSDN问答
2024年12月31日 · Mayavi是一个开源的科学数据可视化软件,基于Python编程语言和 Visualization Toolkit (VTK) 库。它提供了强大的3D图形渲染能力,广泛用于科学计算和数据分析领域。 描述中提到的“文件格式:whl”表明这个压缩包内...
mayavi 交互式可视化 - 知乎 - 知乎专栏
import numpy as np from mayavi import mlab x, y, z = np. mgrid [-2: 3,-2: 3,-2: 3] r = np. sqrt (x ** 2 + y ** 2 + z ** 4) u = y * np. sin (r) / (r + 0.001) v =-x * np. sin (r) / (r + 0.001) w = np. zeros_like (z) obj = mlab. quiver3d (x, y, z, u, v, w, line_width = 3, scale_factor = 1) mlab. show ()