T = 0.7 T_c T = 0.88 T_c T = 1.06 T_c
Array2GIF provides a single top-level function, write_gif(), to write a 3-D NumPy array to a GIF, or a list of these arrays to an animated GIF. It works for me - just small animations of thermodynamics simulations - like the magnetization in the Ising model shown here.
Here is an example for a 2 pixel by 3 pixel animated GIF with two frames, switching 5 frames per second. All animations from this library will loop indefinitely.
import numpy as np
from array2gif import write_gif
dataset = [
np.array([
[[255, 0, 0], [255, 0, 0]], # red intensities
[[0, 255, 0], [0, 255, 0]], # green intensities
[[0, 0, 255], [0, 0, 255]] # blue intensities
]),
np.array([
[[0, 0, 255], [0, 0, 255]],
[[0, 255, 0], [0, 255, 0]],
[[255, 0, 0], [255, 0, 0]]
])
]
write_gif(dataset, 'rgbbgr.gif', fps=5)
# or for just a still GIF
write_gif(dataset[0], 'rgb.gif')
Either:
pip install array2gif
or:
pip install git+https://github.com/tanyaschlusser/array2gif.git#egg=array2gif