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52 lines
1.7 KiB
52 lines
1.7 KiB
import matplotlib.pyplot as plt
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from matplotlib import font_manager as fm
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def load_data(filename):
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"""
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Load data from a file.
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Assumes that each line in the file is a float value.
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"""
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with open(filename, 'r') as file:
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data = file.read().split()
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data = [float(i) for i in data]
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return data
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def main():
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# 加载数据
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edf_data = load_data('edf_5k.txt')
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llf_data = load_data('llf_5k.txt')
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# 设置X轴的数据点
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x_labels = [50, 60, 70, 80, 90, 100] # 确保数据与这些标签相匹配
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font_properties = fm.FontProperties(family='Times New Roman', size=18)
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plt.rcParams.update({'font.size': 18, 'font.family': 'Times New Roman'})
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# 创建图形和绘制数据
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plt.figure(figsize=(10, 6))
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ax = plt.gca() # 获取当前的Axes对象ax
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ax.set_facecolor('#f0f0f0') # 设置浅灰色背景
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plt.plot(x_labels, edf_data, marker='s', linestyle='-', color='#C8503D', markersize=8, label='EDF')
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plt.plot(x_labels, llf_data, marker='^', linestyle='-', color='#00008B', markersize=8, label='LLF')
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# 添加标题、标签和图例
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plt.title('5KB-1.2* Deadline', fontsize=20, fontproperties=font_properties)
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plt.xlabel('Load (% of maximum RPS)', fontproperties=font_properties)
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plt.ylabel('Deadline Miss Rate (%)', fontproperties=font_properties)
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plt.legend(prop=font_properties)
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# 设置X轴刻度
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plt.xticks(range(50, 101, 10))
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# 设置网格
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plt.grid(True)
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# 移除边框的四边刻度线
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plt.tick_params(axis='both', which='both', length=0) # 移除刻度线
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# 显示图形
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plt.show()
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if __name__ == "__main__":
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main()
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