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.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
vidi3d-1.3.2.tar.gz
(61.5 kB
view hashes)
Built Distribution
vidi3d-1.3.2-py3-none-any.whl
(65.7 kB
view hashes)
