import pynsn as nsn
from pynsn.image import pil_image
dot_array = nsn.DotArray(target_area_radius=100)
dot_array.add( [nsn.Dot(xy=(-65, 50), diameter=20, attribute="green"),
nsn.Dot(xy=(25, 35), diameter=25, attribute="blue"),
nsn.Dot(xy=(60, -50), diameter=12, attribute="darkmagenta"),
nsn.Dot(xy=(-40, -20), diameter=37, attribute="orange"),
nsn.Dot(xy=(-10, -5), diameter=14, attribute="black")])
PyNSN 0.13.0
Making a picture of stimulus
pil_image.create(dot_array)
Inspect properties of the nsn stimulus
print(dot_array)
- DotArray Hash: a2c3d4c0a2dbe2c1e0111225945ce237 Numerosity............ 5.00 Average dot diameter.. 21.60 Average perimeter..... 67.86 Average surface area.. 429.46 Total perimeter....... 339.29 Total surface area.... 2147.28 Field area............ 9952.63 Sparsity.............. 1990.53 Coverage.............. 0.22 Log Size.............. 19.81 Log Spacing........... 24.24
Changing some colours
my_colours = nsn.ImageColours(target_area="#EEEEEE")
pil_image.create(dot_array, colours=my_colours)