Python Library for Creating Non-Symbolic Number Displays

(c) Oliver Lindemann (lindemann@cognitive-psychology.eu)

Project homepage: https://github.com/lindemann09/PyNSN

• Python 3 (>=3.8)
• numpy (>=1.26)
• shapely (>=2.0)
• orjson (>=3.9)
• Pillow (>=5.0)

Additional Python packages, which are optional and required only for some features:

• matplotlib (>=3.2)
• svgwrite (>=1.4)
• pygame (>=2)
• expyriment (>=0.9)

python -m pip install pynsn

By default, PyNSN is able to write SVG or Pillow images. To generate Pygame or Matplotlib images or stimuli for Expyriment, please install the respective packages.

• making arrays: manually creating nsn stimuluss and exporting picture file (binder)
• random arrays: Creating random nsn stimuli (binder)
• matching visual features
• data base, sequences
• Euro flag example: using pictures as objects in array (binder)