fix font size

decision_time.py

@@ -36,13 +36,19 @@ 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())
-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')
+# 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()
+# ax.scatter(np.arange(0, 7), [5]*7, s=20, facecolors='none', edgecolors='black', linewidths=0.75, linestyle='dotted')
+# for i in range(0,7):
+#     print(f"{i}: {floor(45/(i+1))}\n")
+# plt.legend()
 # ax2 = ax.twinx()
 # ax2.set_ylabel("Maximal Number of opponents")
-ax.set_xlabel("Decision time")
+ax.set_xlabel("Average Decision time", fontsize=11)
-ax.set_ylabel("Number of partners")
+ax.set_ylabel("Number of partners", fontsize=11)
-fig.colorbar(dct, ax=ax, orientation='horizontal', aspect=40)
+ax.tick_params(labelsize=10)
+ax.reset_position()
+fig.set_size_inches(6,5)
+fig.colorbar(dct, ax=ax, orientation='horizontal', aspect=30, shrink=1)
 
 # plt.show()
 # print(plt.rcParams)

eid_plot.py

@@ -10,22 +10,22 @@ red = '#d63031'
 def error(f,x,y):
     return sp.sum((f(x)-y)**2)
 def p1(x, coopr, e, postfix, show=True):
-    fig = plt.figure(figsize=(4.5, 3))
+    fig = plt.figure(figsize=(3, 2))
     ax = fig.gca()
-    ax.plot(x, coopr, color=blue, linewidth=2, label="$f_c$")
+    ax.plot(x, coopr, color=blue, linewidth=2, label=r"f$_{\rm c}$")
     ax.set_ylim(0, 1)
     ax.set_yticks(sp.linspace(0, 1, 5))
     ax2 = ax.twinx()
-    ax2.plot(x[:-1], e[:-1], color=red, linewidth=2, label=r"$\theta$")
+    ax2.plot(x[:-1], e[:-1], color=red, linewidth=2, label=r"${\rm \theta}$")
     ax2.set_ylim(-1500, 200)
     ax2.set_yticks(sp.linspace(-1500, 200, 5))
-    ax2.tick_params(labelsize=14)
+    ax2.tick_params(labelsize=10)
-    ax.tick_params(labelsize=14)
+    ax.tick_params(labelsize=10)
     ax.set_xlim(1, 15)
-    ax.set_xlabel("Rounds", size=22)
+    ax.set_xlabel("Rounds", size=11)
-    ax.set_ylabel(r"$f_c$", family='sans-serif', color=blue, size=22)
+    ax.set_ylabel(r"f$_{\rm c}$", color=blue, size=11)
     ax.tick_params(axis='y', labelcolor=blue)
-    ax2.set_ylabel(r"$\theta$", family='sans-serif', color=red, size=22)
+    ax2.set_ylabel(r"${\rm \theta}$", color=red, size=11)
     ax2.tick_params(axis='y', labelcolor=red)
     ax.tick_params(direction='in')
     ax2.tick_params(direction='in')
@@ -38,7 +38,7 @@ def p1(x, coopr, e, postfix, show=True):
 
 def p2(e, coopr, postfix, show=True, showline=True):
     # p2散点图
-    fig = plt.figure(figsize=(4, 3))
+    fig = plt.figure(figsize=(3, 2))
     ax = fig.gca()
     if showline:
         fp1,residuals,rank,sv,rcond = sp.polyfit(e, coopr, 1, full=True)
@@ -51,11 +51,11 @@ def p2(e, coopr, postfix, show=True, showline=True):
         plt.plot(fx,f1(fx),linewidth=2,color=red, ls='--', zorder=0)
 
     plt.scatter(e, coopr, color='white', edgecolors=blue, linewidths=2, zorder=101)
-    ax.set_xlabel(r'$\theta$', family='sans-serif', size=20)
+    ax.set_xlabel(r"${\rm \theta}$", size=12)
-    ax.set_ylabel(r'$f_{c}$', family='sans-serif', size=20)
+    ax.set_ylabel(r"f$_{\rm c}$", size=12)
     # ax.set_xlim(0, 1440)
     # ax.set_xticks(sp.linspace(int(min(e)*0.9), int(max(e)*1.1), 4))
-    ax.tick_params(labelsize=14)
+    ax.tick_params(labelsize=10)
     ax.set_ylim(0.6, 1)
     ax.set_yticks(sp.linspace(0.6, 1, 5))
     ax.tick_params(direction='in')

fc_plot.py

@@ -8,22 +8,31 @@ import json
 import random
 blue = '#0984e3'
 red = '#d63031'
+green = '#227D51'
+
+sim = [0.79844266, 0.8377947, 0.87015217, 0.91429971, 0.94337877, 0.89212607, 0.99805755, 0.98048562, 0.98530593, 0.99598291, 0.87856398, 0.99217795, 0.62392839, 0.99253731, 0.99703892]
+ana = [0.8, 0.8290884722222223, 0.8581769444444445, 0.8872654166666667, 0.9163538888888889, 0.9454423611111111, 0.9745308333333333, 1.0, 1.0, 1.0, 1.0, 1.0, 0.5, 1.0, 1.0]
 
 def p1(x, coopr, crawx, crawy, postfix, show=True):
-    fig = plt.figure(figsize=(4.5, 2.5))
+    fig = plt.figure(figsize=(4.5, 1.8))
     ax = fig.gca()
-    ax.plot(x, coopr, marker='o', linestyle='dotted', color=blue, linewidth=2, label="$f_c$")
+    if postfix == 'SURVIVE':
-    ax.scatter(crawx, crawy, s=15, c='dimgray', marker='x', linewidth=0.5)
+        ax.plot(x, sim, marker='s', linestyle='dotted', markerfacecolor='none', color=red, linewidth=2, label="Simulation")
-    ax.set_ylim(0, 1)
+        ax.plot(x, ana, marker='^', linestyle='dotted', markerfacecolor='none', color=green, linewidth=2, label="Analytical")
+    ax.plot(x, coopr, marker='o', linestyle='dotted', markerfacecolor='none', color=blue, linewidth=2, label="Human")
+    ax.scatter(crawx, crawy, s=15, c='dimgray', marker='x', linewidth=0.5, alpha=0.4)
+    ax.set_ylim(-0.05, 1.05)
     ax.set_yticks(sp.linspace(0, 1, 5))
     ax.tick_params(labelsize=10)
     ax.tick_params(direction='in')
     ax.set_xlim(0, 16)
     ax.set_xticks([1, 5, 10, 15])
     # ax.set_xticklabels([''])
-    ax.set_xlabel("Rounds", size=14)
+    ax.set_xlabel("Rounds", size=11)
-    ax.set_ylabel(r"$f_c$", family='sans-serif', size=14)
+    ax.set_ylabel(r"f$_{\rm c}$", size=11, fontstyle='normal')
     ax.yaxis.grid(True, linestyle='--')
+    # if postfix == 'SURVIVE':
+    #     ax.legend(loc='best', fontsize=10, ncol=3)
 
     plt.tight_layout()
     if show:

food_loss.py

@@ -75,17 +75,20 @@ if __name__ == '__main__':
     hdl2 = pch.Patch(facecolor=vp2['bodies'][0].get_facecolor()[0])
     vp1['cmeans'].set_edgecolor(black)
     vp1['cmeans'].set_linestyle(':')
+    vp1['cmedians'].set_linestyle('dashed')
     vp2['cmeans'].set_edgecolor(black)
     vp2['cmeans'].set_linestyle(':')
-    ax.set_ylabel('Distribution of Food Loss')
+    vp2['cmedians'].set_linestyle('dashed')
+    ax.set_ylabel('Distribution of the Payoff Loss', fontsize=11)
     ax.yaxis.grid(True, linestyle='--')
     # ax.set_title('Scores by group and gender')
     ax.set_xticks(index)
     ax.set_xticklabels(['C', 'D'])
     ax.set_ylim(-6, 6)
-    ax.set_xlabel("Previous Move")
+    ax.tick_params(labelsize=10)
+    ax.set_xlabel("Previous Move", fontsize=11)
     ax.tick_params(direction='in')
-    ax.legend([hdl1, hdl2], labels, ncol=2)
+    ax.legend([hdl1, hdl2], labels, ncol=2, fontsize=10)
 
     fig.tight_layout()
     # plt.show()

sanitize.py

@@ -0,0 +1,14 @@
+import json
+import os.path
+
+with open('profile.csv') as fp:
+    for l in fp:
+        fn = l.split(',')[0]
+        with open(fn, encoding='utf-8') as js:
+            data = []
+            for item in json.load(js):
+                if item['cat'] != 'chat':
+                    data.append(item)
+            with open(os.path.join('wos-data-sanitized', os.path.basename(fn)), 'w') as out:
+                json.dump(data, out)
+                print("Finish: ", fn)