For 1.10

decision_time.py

@@ -36,12 +36,14 @@ colors = cm.get_cmap('OrRd')
 colors.set_bad('white')
 ax.set_xticklabels(np.arange(1, 46, 11))
 dct = ax.imshow(ndata, cmap=colors, origin='lower')#, norm=colors.LogNorm())
-
-ax.plot(np.arange(7, 45), np.floor(45 / np.arange(8, 46)),
-        marker='x', color='black', markersize=3, linestyle='none', markeredgewidth=0.5)
+sc = ax.scatter(np.arange(7, 45), np.floor(45 / np.arange(8, 46)), s=20, facecolors='none', edgecolors='black', linewidths=0.75, linestyle='dotted', label='Maximal number of opponents')
+plt.legend()
+# ax2 = ax.twinx()
+# ax2.set_ylabel("Maximal Number of opponents")
 ax.set_xlabel("Decision time")
-ax.set_ylabel("Number of opponents")
+ax.set_ylabel("Number of partners")
 fig.colorbar(dct, ax=ax, orientation='horizontal', aspect=40)
 
 # plt.show()
+# print(plt.rcParams)
 plt.savefig('graph/decision_time.eps')

theta_plot.py

@@ -0,0 +1,29 @@
+import numpy as np
+from matplotlib import pyplot as plt
+import scipy as sp
+from matplotlib import markers
+blue = '#0984e3'
+red = '#d63031'
+
+x = np.arange(1, 16)
+tc = np.loadtxt("outputs/EID_CLASSIC.csv", delimiter=',')
+ts = np.loadtxt("outputs/EID_SURVIVE.csv", delimiter=',')
+
+fig = plt.figure(figsize=(6,4.5))
+ax = fig.gca()
+ax.plot(x[:-1], tc[:-1], 'o--', color='limegreen', linewidth=2, label=r"Classic")
+ax.plot(x[:-1], ts[:-1], 'o-', color='darkorange', linewidth=2, label=r"Dissipative")
+
+ax.set_ylim(-1500, 500)
+ax.set_yticks(sp.linspace(-1500, 500, 6))
+ax.tick_params(labelsize=14)
+ax.set_xlim(1, 15)
+ax.set_xticks(sp.linspace(1,15,8, dtype=int))
+ax.set_xlabel("Rounds", size=22)
+ax.set_ylabel(r"$\theta$", family='sans-serif', size=22)
+# ax.tick_params(axis='y', labelcolor=red)
+
+plt.legend(numpoints=2, fontsize=14)
+plt.tight_layout()
+# plt.show()
+plt.savefig("graph/theta_plot.eps")