couzinswarm

Simulate fish swarming behavior with the model by Iain Couzin et al. Use with caution as I can’t seem to replicate some behavior (e.g. the torus swarming).

Example

from couzinswarm import Swarm

swarm = Swarm()
r, v = swarm.simulate(1000)

Install

pip install couzinswarm

Elaborate example

import numpy as np
import matplotlib.pyplot as pl
from mpl_toolkits.mplot3d import Axes3D
from couzinswarm import Swarm

# note: the dimension of space is measure in fish length,
# such that r = 1 means a length of one fish

swarm = Swarm(
             number_of_fish=20,
             repulsion_radius=1,
             orientation_width=10,
             attraction_width=10,
             # this angle is given in radians
             # up to np.pi (not 360 degrees as in
             # the paper)
             angle_of_perception=np.pi,
             # radians per unit of time
             turning_rate=0.1,
             # fish lengths per unit of time
             speed=0.1,
             # in units of fish length
             noise_sigma=0.1,
             dt=0.1,
             # geometry of box
             box_lengths=[100,100,100],
             # boundary conditions
             reflect_at_boundary = [True, True, True],
             verbose=False,
             )



fig = pl.figure()
ax = fig.add_subplot(111, projection='3d')

N_t = 1000

t = np.arange(N_t+1)

# Note that r.shape = v.shape = ( N_fish, N_t+1, 3 )
positions, directions = swarm.simulate(N_t)
r, v = positions, directions

for i in range(swarm.number_of_fish):
    ax.plot(r[i,:,0], r[i,:,1], r[i,:,2])

pl.show()

Metadata

Release files for couzinswarm 0.0.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for couzinswarm 0.0.3
File	Size	Uploaded
couzinswarm-0.0.3.tar.gz	7.2 kB	Mar 14, 2019	Details

Release files / couzinswarm-0.0.3.tar.gz

Download URL	couzinswarm-0.0.3.tar.gz
Size	7.2 kB
Tags	Source
SHA-256 checksum How to use checksums	`5cece5ae743b88b5bf6d9bee379f7551d9bb50a93c449924a1ccd8ad46075d91`
BLAKE2b-256 checksum How to use checksums	`02171f25d9cb02465d9edada195aa17bb6f85cea1d2917ff1c64a56566aa9374`
Upload date	Mar 14, 2019
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/1.12.1 pkginfo/1.4.2 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.7.2`