51 lines
2.1 KiB
Python
51 lines
2.1 KiB
Python
import matplotlib.pyplot as plt
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import numpy as np
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MCS = [ 'MI-FGSM', 'PGD', 'Adv-\nAttribute', 'Adv-\nDiffusion','TCA$^2$']
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gold_medal = [ 54.82, 49.72, 50.12, 59.28,63.03]
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silver_medal = [ 31.06, 24.57, 18.63, 32.61,36.08]
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x = np.arange(len(MCS))
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print(x)
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width = 0.35
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gold_x = x
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silver_x = x + width
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plt.bar(gold_x,gold_medal,width=width,color="royalblue", label='Face++')
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plt.bar(silver_x,silver_medal,width=width,color="tomato", label='Aliyun')
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# plt.bar(silver_x,silver_medal,width=width,color="silver")
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plt.xticks(x+width, labels=MCS)
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for i in range(len(MCS)):
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plt.text(gold_x[i],gold_medal[i], gold_medal[i],va="bottom",ha="center",fontsize=8)
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plt.text(silver_x[i],silver_medal[i], silver_medal[i],va="bottom",ha="center",fontsize=8)
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# plt.text(bronze_x[i],bronze_medal[i], gold_medal[i],va="bottom",ha="center",fontsize=8)
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plt.legend(loc=2,frameon=False)
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plt.ylabel('Mean Confidence Scores')
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plt.show()
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# import matplotlib.pyplot as plt
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# import numpy as np
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# # 这两行代码解决 plt 中文显示的问题
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# # plt.rcParams['font.sans-serif'] = ['SimHei']
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# # plt.rcParams['axes.unicode_minus'] = False
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# # 输入统计数据
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# waters = ['clean', 'MI-FGSM', 'PGD', 'Adv-\nAttribute', 'Adv-\nDiffusion','TCA^2']
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# buy_number_male = [10.22, 57.82, 53.72, 50.12, 59.28,61.03]
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# buy_number_female = [0.51, 31.06, 24.57, 18.63, 32.61,33.08]
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# bar_width = 0.3 # 条形宽度
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# index_male = np.arange(len(waters)) # 男生条形图的横坐标
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# index_female = index_male + bar_width # 女生条形图的横坐标
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# # 使用两次 bar 函数画出两组条形图
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# plt.bar(index_male, height=buy_number_male, width=bar_width, color='b', label='Face++')
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# plt.bar(index_female, height=buy_number_female, width=bar_width, color='g', label='Aliyun')
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# plt.legend() # 显示图例
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# plt.xticks(index_male + bar_width/2, waters) # 让横坐标轴刻度显示 waters 里的饮用水， index_male + bar_width/2 为横坐标轴刻度的位置
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# plt.ylabel('MCS') # 纵坐标轴标题
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# plt.title('on') # 图形标题
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# plt.show()
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