Skip to main content

Visualizes 3d/4d NumPy arrays using Matplotlib and PyQt5.

Project description


Visualizes 3D/4D NumPy arrays using Matplotlib and PyQt5.

Installation and Requirements

The following libraries are required:

  • Python 3
  • Numpy: General purpose array-processing package.
  • Matplotlib: Python plotting package .
  • PyQt5: Python bindings for Qt application framework.

To install, use: pip3 install vidi3d.

The software can also be found at


import vidi3d as v
# compare a list of 2d images (an additional temporal dimension is optional)
# compare a list of 3d images (an additional temporal dimension is optional)

Some simple examples can be found in the Examples/ folder.

Project details

Download files

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

Files for vidi3d, version 1.1.0
Filename, size File type Python version Upload date Hashes
Filename, size vidi3d-1.1.0.tar.gz (61.0 kB) File type Source Python version None Upload date Hashes View
Filename, size vidi3d-1.1.0-py3-none-any.whl (65.6 kB) File type Wheel Python version py3 Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page