45 lines
1.1 KiB
Python
45 lines
1.1 KiB
Python
import json
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from matplotlib import pyplot as plt
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from island.match import Match
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from island.matches import Matches
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matches = Matches('wos-data-new')
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max_round = 17
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coopr = []
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yerr_min = []
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yerr_max = []
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x = []
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bx = []
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survivals = {}
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with open('winner.json','r') as f:
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survivals = json.load(f)
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for i in range(max_round):
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co = []
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for j in range(len(matches.data)):
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coop = 0
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rows = matches.data[j].query('action', 'done').where(lambda x: x['rno']==i+1).raw_data
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for row in rows:
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if row['act_a'] == 'C' and row['act_b'] == 'C':
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coop += 1
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if rows:
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co.append(float(coop) / float(len(rows)))
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bx.append(co)
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if co:
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coopr.append(sum(co) / len(co))
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yerr_min.append(coopr[-1] - min(co))
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yerr_max.append(max(co) - coopr[-1])
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print("%f, %f, %f"%(yerr_min[-1], yerr_max[-1], coopr[-1]))
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x.append(i+1)
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plt.figure()
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# plt.errorbar(x, coopr, yerr=[yerr_min, yerr_max], fmt='o', capsize=4)
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plt.boxplot(bx, showmeans=True, meanline=True)
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# plt.show()
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plt.savefig('graph/co_per_round.png') |