51 lines
1.1 KiB
Python
51 lines
1.1 KiB
Python
from scipy.stats import chi2_contingency as chi2
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import numpy as np
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from matplotlib import pyplot as plt
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'''
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survive
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break_tie = [13.717872086072923, 86.26126126126125]
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stay_connected = [86.28212791392707, 13.738738738738737]
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classic
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break_tie = [8.331150117893634, 42.07858048162231]
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stay_connected = [91.66884988210636, 57.9214195183777]
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'''
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"""
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NEW VERSION
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"""
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bt_s = [13.717872086072923, 86.26126126126125]
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bt_c = [8.331150117893634, 42.07858048162231]
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fig = plt.figure(figsize=(4, 4))
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ax = fig.gca()
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index = np.arange(2)
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bar_width = 0.35
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opacity = 1
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error_config = {'ecolor': '0.3'}
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rects1 = ax.bar(index, bt_s, bar_width,
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alpha=opacity, color='#d63031',
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label='Dissipative')
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rects2 = ax.bar(index + bar_width, bt_c, bar_width,
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alpha=opacity, color='#00b894',
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label='Classic')
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ax.set_ylabel('Frequency of Breaking Ties')
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# ax.set_title('Behavior after Moves')
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ax.set_xticks(index + bar_width / 2)
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ax.set_xticklabels(('C', 'D'))
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ax.set_xlabel('Previous Move')
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ax.set_ylim(0,100)
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ax.legend(loc='upper left')
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fig.tight_layout()
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# plt.show()
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plt.savefig("graph/break_tie_bar.eps")
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