121 lines
3.6 KiB
Python
121 lines
3.6 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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from numpy import mean, std
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import numpy as np
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matches = Matches('wos-data-casual')
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max_round = 17
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c_req_suc_mean = []
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d_req_suc_mean = []
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c_req_suc_std = []
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d_req_suc_std = []
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c_req_fail_mean = []
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d_req_fail_mean = []
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c_req_fail_std = []
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d_req_fail_std = []
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for i in range(max_round):
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cReSu = []
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cReFa = []
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dReSu = []
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dReFa = []
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for j in range(len(matches.data)):
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rows = matches.data[j].query('action', 'done').where(lambda x: x['rno'] == i+1).raw_data
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calced = set()
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for row in rows:
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if row['a'] not in calced:
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r = matches.data[j].query('action', 'request').where(lambda x: x['rno'] == i+2 and x['from'] == row['a']).raw_data
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rs = matches.data[j].query('action', 'approve').where(lambda x: x['rno'] == i+2 and x['to'] == row['a']).raw_data
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if row['act_a'] == 'C':
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cReSu.append(len(rs))
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cReFa.append(len(r) - len(rs))
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else:
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dReSu.append(len(rs))
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dReFa.append(len(r) - len(rs))
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calced.add(row['a'])
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if row['b'] not in calced:
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r = matches.data[j].query('action', 'request').where(lambda x: x['rno'] == i+2 and x['from'] == row['b']).raw_data
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rs = matches.data[j].query('action', 'approve').where(lambda x: x['rno'] == i+2 and x['to'] == row['b']).raw_data
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if row['act_b'] == 'C':
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cReSu.append(len(rs))
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cReFa.append(len(r) - len(rs))
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else:
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dReSu.append(len(rs))
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dReFa.append(len(r) - len(rs))
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calced.add(row['b'])
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if cReSu:
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cm = mean(cReSu)
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cs = std(cReSu)
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else:
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cm = 0
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cs = 0
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c_req_suc_mean.append(cm)
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c_req_suc_std.append(cs)
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if cReFa:
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cm = mean(cReFa)
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cs = std(cReFa)
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else:
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cm = 0
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cs = 0
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c_req_fail_mean.append(cm)
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c_req_fail_std.append(cs)
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if dReSu:
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dm = mean(dReSu)
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ds = std(dReSu)
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else:
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dm = 0
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ds = 0
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d_req_suc_mean.append(dm)
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d_req_suc_std.append(ds)
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if dReFa:
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dm = mean(dReFa)
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ds = std(dReFa)
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else:
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dm = 0
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ds = 0
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d_req_fail_mean.append(dm)
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d_req_fail_std.append(ds)
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fig, ax = plt.subplots()
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index = np.arange(17)
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bar_width = 0.35
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opacity = 0.6
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error_config = {'ecolor': '0.3', 'capsize': 4}
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rects1 = ax.bar(index, c_req_suc_mean, bar_width,
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alpha=opacity, color='g',
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# yerr=c_req_suc_std, error_kw=error_config,
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label='C-Req-Success')
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rects2 = ax.bar(index, c_req_fail_mean, bar_width,
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alpha=opacity, color='b',
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# yerr=c_req_fail_std, error_kw=error_config,
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bottom=c_req_suc_mean,
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label='C-Req-Fail')
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rects3 = ax.bar(index + bar_width, d_req_suc_mean, bar_width,
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alpha=opacity, color='y',
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# yerr=d_req_suc_mean, error_kw=error_config,
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label='D-Req-Success')
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rects4 = ax.bar(index + bar_width, d_req_fail_mean, bar_width,
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alpha=opacity, color='r',
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# yerr=d_req_fail_mean, error_kw=error_config,
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bottom=d_req_suc_mean,
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label='D-Req-Fail')
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# ax.set_xlabel('Group')
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# ax.set_ylabel('Scores')
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# ax.set_title('Scores by group and gender')
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ax.set_xticks(index + bar_width / 2)
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ax.set_xticklabels(index+1)
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ax.legend()
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fig.tight_layout()
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plt.show() |