forked from gdetor/som_stability
-
Notifications
You must be signed in to change notification settings - Fork 0
/
figure2_3.py
36 lines (31 loc) · 1.38 KB
/
figure2_3.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
# This script generates the Figures No 2 and No 3 in [1].
# Copyright (C) <2020> Georgios Is. Detorakis (gdetor@protonmail.com)
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
#
# [1] "Stability analysis of a neural field self-organizing map",
# G. Is. Detorakis, A. Chaillet, N.P. Rougier, 2020.
import numpy as np
import matplotlib.pylab as plt
from plot_functions import plot_panels
if __name__ == '__main__':
w_hist = np.load('./data/w_hist_stable.npy')
distortion = np.load('./data/distortion_stable.npy')
plot_panels(w_hist, distortion)
plt.savefig('Figure02.pdf', axis='tight')
# w_hist = np.load('./data/w_hist_unstable.npy')
# distortion = np.load('./data/distortion_unstable.npy')
# plot_panels(w_hist, distortion)
# plt.savefig('Figure03.pdf', axis='tight')
plt.show()