Skip to main content

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

Project description

vidi3d

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 https://github.com/AlanKuurstra/vidi3d.

Usage

import vidi3d as v
# compare a list of 2d images (an additional temporal dimension is optional)
v.compare2d(listOf2dImages) 
# compare a list of 3d images (an additional temporal dimension is optional)
v.compare3d(listOf3dImages) 

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.

Source Distribution

vidi3d-1.2.1.tar.gz (60.2 kB view hashes)

Uploaded Source

Built Distribution

vidi3d-1.2.1-py3-none-any.whl (64.7 kB view hashes)

Uploaded Python 3

Supported by

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