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, wxPython, GTK, fltk)

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

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-1.9.2.tar.gz (4.4 MB view details)

Uploaded Source

File details

Details for the file visvis-1.9.2.tar.gz.

File metadata

  • Download URL: visvis-1.9.2.tar.gz
  • Upload date:
  • Size: 4.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for visvis-1.9.2.tar.gz
Algorithm Hash digest
SHA256 05bc25d1dcb48a3f1cda7aac4672bd6270efddb701d9123ac9a0f9e4e8ea7323
MD5 d1608cac633d5a204a3735eba12e7fcd
BLAKE2b-256 90abea16d0506f29750af6ef823a62ab95bd1101650ff57188656e00e4f248c0

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