 A screenshot of the main window, with an example visualization Image: source and license | |
| Developer | Enthought |
|---|---|
| Release | 2019 |
| Stable release | 4.8.3[1] / 16 May 2025 |
| Written in | Python, VTK, wxPython/Qt |
| Operating system | Linux, Mac OS X, Windows |
| Available in | English |
| Type | Data visualization |
| License | BSD License |
| Website | docs.enthought.com/mayavi/mayavi/ |
| Repository | github.com/enthought/mayavi |
MayaVi is a scientific data visualizer written in Python, which uses VTK and provides a GUI via Tkinter. MayaVi was developed by Prabhu Ramachandran, is free and distributed under the BSD License. It is cross-platform and runs on any platform where both Python and VTK are available (almost any Unix, Mac OS X, or Windows). MayaVi is pronounced as a single name, "Ma-ya-vee", meaning "magical" in Sanskrit. The code of MayaVi has nothing in common with that of Autodesk Maya or the Vi text editor.[2]
The latest version of MayaVi, called Mayavi2, is a component of the Enthought suite of scientific Python programs. It differs from the original MayaVi by its strong focus on making an interactive program and a reusable component for 3D plotting in Python. Although it exposes a slightly different interface and API than the original MayaVi, it now has more features.[3][4]
Major features#edit
- visualizes computational grids and scalar, vector, and tensor data
- an easy-to-use GUI
- can be imported as a Python module from other Python programs or can be scripted from the Python interpreter
- supports volume visualization of data via texture and ray cast mappers
- support for any VTK dataset using the VTK data format
- support for PLOT3D data
- multiple datasets can be used simultaneously
- provides a pipeline browser, with which objects in the VTK pipeline can be browsed and edited
- imports simple VRML and 3D Studio scenes
- custom modules and data filters can be added
- exporting to PostScript files, PPM/BMP/TIFF/JPEG/PNG images, Open Inventor, Geomview OOGL, VRML files, Wavefront .obj files, or RenderMan RIB file
Examples#edit
Spherical harmonics#edit
Image: source and license
from numpy import linspace, meshgrid, array, sin, cos, pi, abs
from scipy.special import sph_harm
from mayavi import mlab
theta_1d = linspace(0, pi, 91)
phi_1d = linspace(0, 2 * pi, 181)
theta_2d, phi_2d = meshgrid(theta_1d, phi_1d)
xyz_2d = array(
[sin(theta_2d) * sin(phi_2d), sin(theta_2d) * cos(phi_2d), cos(theta_2d)]
)
l = 3
m = 0
Y_lm = sph_harm(m, l, phi_2d, theta_2d)
r = abs(Y_lm.real) * xyz_2d
mlab.figure(size=(700, 830))
mlab.mesh(r[0], r[1], r[2], scalars=Y_lm.real, colormap="cool")
mlab.view(azimuth=0, elevation=75, distance=2.4, roll=-50)
mlab.savefig("Y_%i_%i.jpg" % (l, m))
mlab.show()
References#edit
- ^ "Release 4.8.3".
- ^ "MayaVi project page". SourceForge.
- ^ "MayaVi2 wiki page". Archived from the original on 2013-01-30. Retrieved 2008-10-25.
- ^ "MayaVi2 project page".
External links#edit
- mayavi on GitHub
- MayaVi on SourceForge
This article is mirrored from “MayaVi” on English Wikipedia, revision 1340642506, written by Wikipedia's contributors and licensed CC BY-SA 4.0. Editing it here creates a Quire copy with its own history.
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