fix font size
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dd8b129a33
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c6516db0a1
@ -36,13 +36,19 @@ colors = cm.get_cmap('OrRd')
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colors.set_bad('white')
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ax.set_xticklabels(np.arange(1, 46, 11))
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dct = ax.imshow(ndata, cmap=colors, origin='lower')#, norm=colors.LogNorm())
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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')
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plt.legend()
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# 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')
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# ax.scatter(np.arange(0, 7), [5]*7, s=20, facecolors='none', edgecolors='black', linewidths=0.75, linestyle='dotted')
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# for i in range(0,7):
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# print(f"{i}: {floor(45/(i+1))}\n")
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# plt.legend()
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# ax2 = ax.twinx()
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# ax2.set_ylabel("Maximal Number of opponents")
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ax.set_xlabel("Decision time")
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ax.set_ylabel("Number of partners")
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fig.colorbar(dct, ax=ax, orientation='horizontal', aspect=40)
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ax.set_xlabel("Average Decision time", fontsize=11)
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ax.set_ylabel("Number of partners", fontsize=11)
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ax.tick_params(labelsize=10)
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ax.reset_position()
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fig.set_size_inches(6,5)
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fig.colorbar(dct, ax=ax, orientation='horizontal', aspect=30, shrink=1)
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# plt.show()
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# print(plt.rcParams)
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24
eid_plot.py
24
eid_plot.py
@ -10,22 +10,22 @@ red = '#d63031'
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def error(f,x,y):
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return sp.sum((f(x)-y)**2)
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def p1(x, coopr, e, postfix, show=True):
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fig = plt.figure(figsize=(4.5, 3))
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fig = plt.figure(figsize=(3, 2))
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ax = fig.gca()
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ax.plot(x, coopr, color=blue, linewidth=2, label="$f_c$")
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ax.plot(x, coopr, color=blue, linewidth=2, label=r"f$_{\rm c}$")
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ax.set_ylim(0, 1)
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ax.set_yticks(sp.linspace(0, 1, 5))
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ax2 = ax.twinx()
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ax2.plot(x[:-1], e[:-1], color=red, linewidth=2, label=r"$\theta$")
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ax2.plot(x[:-1], e[:-1], color=red, linewidth=2, label=r"${\rm \theta}$")
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ax2.set_ylim(-1500, 200)
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ax2.set_yticks(sp.linspace(-1500, 200, 5))
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ax2.tick_params(labelsize=14)
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ax.tick_params(labelsize=14)
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ax2.tick_params(labelsize=10)
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ax.tick_params(labelsize=10)
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ax.set_xlim(1, 15)
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ax.set_xlabel("Rounds", size=22)
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ax.set_ylabel(r"$f_c$", family='sans-serif', color=blue, size=22)
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ax.set_xlabel("Rounds", size=11)
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ax.set_ylabel(r"f$_{\rm c}$", color=blue, size=11)
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ax.tick_params(axis='y', labelcolor=blue)
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ax2.set_ylabel(r"$\theta$", family='sans-serif', color=red, size=22)
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ax2.set_ylabel(r"${\rm \theta}$", color=red, size=11)
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ax2.tick_params(axis='y', labelcolor=red)
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ax.tick_params(direction='in')
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ax2.tick_params(direction='in')
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@ -38,7 +38,7 @@ def p1(x, coopr, e, postfix, show=True):
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def p2(e, coopr, postfix, show=True, showline=True):
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# p2散点图
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fig = plt.figure(figsize=(4, 3))
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fig = plt.figure(figsize=(3, 2))
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ax = fig.gca()
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if showline:
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fp1,residuals,rank,sv,rcond = sp.polyfit(e, coopr, 1, full=True)
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@ -51,11 +51,11 @@ def p2(e, coopr, postfix, show=True, showline=True):
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plt.plot(fx,f1(fx),linewidth=2,color=red, ls='--', zorder=0)
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plt.scatter(e, coopr, color='white', edgecolors=blue, linewidths=2, zorder=101)
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ax.set_xlabel(r'$\theta$', family='sans-serif', size=20)
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ax.set_ylabel(r'$f_{c}$', family='sans-serif', size=20)
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ax.set_xlabel(r"${\rm \theta}$", size=12)
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ax.set_ylabel(r"f$_{\rm c}$", size=12)
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# ax.set_xlim(0, 1440)
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# ax.set_xticks(sp.linspace(int(min(e)*0.9), int(max(e)*1.1), 4))
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ax.tick_params(labelsize=14)
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ax.tick_params(labelsize=10)
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ax.set_ylim(0.6, 1)
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ax.set_yticks(sp.linspace(0.6, 1, 5))
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ax.tick_params(direction='in')
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21
fc_plot.py
21
fc_plot.py
@ -8,22 +8,31 @@ import json
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import random
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blue = '#0984e3'
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red = '#d63031'
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green = '#227D51'
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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]
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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]
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def p1(x, coopr, crawx, crawy, postfix, show=True):
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fig = plt.figure(figsize=(4.5, 2.5))
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fig = plt.figure(figsize=(4.5, 1.8))
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ax = fig.gca()
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ax.plot(x, coopr, marker='o', linestyle='dotted', color=blue, linewidth=2, label="$f_c$")
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ax.scatter(crawx, crawy, s=15, c='dimgray', marker='x', linewidth=0.5)
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ax.set_ylim(0, 1)
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if postfix == 'SURVIVE':
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ax.plot(x, sim, marker='s', linestyle='dotted', markerfacecolor='none', color=red, linewidth=2, label="Simulation")
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ax.plot(x, ana, marker='^', linestyle='dotted', markerfacecolor='none', color=green, linewidth=2, label="Analytical")
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ax.plot(x, coopr, marker='o', linestyle='dotted', markerfacecolor='none', color=blue, linewidth=2, label="Human")
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ax.scatter(crawx, crawy, s=15, c='dimgray', marker='x', linewidth=0.5, alpha=0.4)
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ax.set_ylim(-0.05, 1.05)
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ax.set_yticks(sp.linspace(0, 1, 5))
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ax.tick_params(labelsize=10)
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ax.tick_params(direction='in')
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ax.set_xlim(0, 16)
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ax.set_xticks([1, 5, 10, 15])
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# ax.set_xticklabels([''])
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ax.set_xlabel("Rounds", size=14)
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ax.set_ylabel(r"$f_c$", family='sans-serif', size=14)
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ax.set_xlabel("Rounds", size=11)
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ax.set_ylabel(r"f$_{\rm c}$", size=11, fontstyle='normal')
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ax.yaxis.grid(True, linestyle='--')
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# if postfix == 'SURVIVE':
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# ax.legend(loc='best', fontsize=10, ncol=3)
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plt.tight_layout()
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if show:
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@ -75,17 +75,20 @@ if __name__ == '__main__':
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hdl2 = pch.Patch(facecolor=vp2['bodies'][0].get_facecolor()[0])
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vp1['cmeans'].set_edgecolor(black)
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vp1['cmeans'].set_linestyle(':')
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vp1['cmedians'].set_linestyle('dashed')
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vp2['cmeans'].set_edgecolor(black)
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vp2['cmeans'].set_linestyle(':')
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ax.set_ylabel('Distribution of Food Loss')
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vp2['cmedians'].set_linestyle('dashed')
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ax.set_ylabel('Distribution of the Payoff Loss', fontsize=11)
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ax.yaxis.grid(True, linestyle='--')
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# ax.set_title('Scores by group and gender')
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ax.set_xticks(index)
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ax.set_xticklabels(['C', 'D'])
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ax.set_ylim(-6, 6)
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ax.set_xlabel("Previous Move")
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ax.tick_params(labelsize=10)
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ax.set_xlabel("Previous Move", fontsize=11)
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ax.tick_params(direction='in')
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ax.legend([hdl1, hdl2], labels, ncol=2)
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ax.legend([hdl1, hdl2], labels, ncol=2, fontsize=10)
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fig.tight_layout()
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# plt.show()
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14
sanitize.py
Normal file
14
sanitize.py
Normal file
@ -0,0 +1,14 @@
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import json
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import os.path
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with open('profile.csv') as fp:
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for l in fp:
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fn = l.split(',')[0]
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with open(fn, encoding='utf-8') as js:
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data = []
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for item in json.load(js):
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if item['cat'] != 'chat':
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data.append(item)
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with open(os.path.join('wos-data-sanitized', os.path.basename(fn)), 'w') as out:
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json.dump(data, out)
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print("Finish: ", fn)
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