Skip to main content

An object oriented approach to visualization of 1D to 4D data.

Project description

Visvis is a pure Python library for visualization of 1D to 4D data in an object oriented way. Essentially, visvis is an object oriented layer of Python on top of OpenGl, thereby combining the power of OpenGl with the usability of Python. A Matlab-like interface in the form of a set of functions allows easy creation of objects (e.g. plot(), imshow(), volshow(), surf()).

With visvis a range of different data can be visualized by simply adding world objects to a scene (or axes). These world objects can be anything from plots (lines with markers), to images, 3D rendered volumes, shaded meshes, or you can program your own world object class. If required, these data can also be moved in time.

Visvis can be used in Python scripts, interactive Python sessions (as with IPython or IEP) and can be embedded in applications.

Requirements:
  • Numpy

  • PyOpengl

  • A backend GUI toolkit (PySide, PyQt4, PyQt5, wxPython, GTK, fltk)

  • (optionally, to enable reading and writing of images) imageio

usage: import visvis as vv

All wobjects, wibjects and functions are present in the visvis namespace. For clean lists, see vv.wibjects, vv.wobjects, or vv.functions, respectively.

For more help, see …

Visvis is maintained by Almar Klein.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

visvis-1.12.1.tar.gz (4.8 MB view details)

Uploaded Source

File details

Details for the file visvis-1.12.1.tar.gz.

File metadata

  • Download URL: visvis-1.12.1.tar.gz
  • Upload date:
  • Size: 4.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: Python-urllib/3.7

File hashes

Hashes for visvis-1.12.1.tar.gz
Algorithm Hash digest
SHA256 fe3d0798579bc3d5c0b5bc94c4bc58ee9586b61bb9ddf80f573bf2f4bcf31923
MD5 409aa857b23c7f9173ccc5a31a40a143
BLAKE2b-256 085a01161adf4619c6c339be62307b379907d896258bd1cc3e6729a7df9165f9

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page