import matplotlib.pyplot as plt
from matplotlib import font_manager as fm

def load_data(filename):
    """
    Load data from a file.
    Assumes that each line in the file is a float value.
    """
    with open(filename, 'r') as file:
        data = file.read().split()
        data = [float(i) for i in data]
    return data

def main():
    # 加载数据
    edf_data = [0.83, 1.35, 1.88, 2.36, 1.9]
    llf_data = [0.45, 0.4, 0.52, 0.97, 0.9]
    
    # 设置X轴的数据点
    x_labels = [50, 60, 70, 80, 90]  # 确保数据与这些标签相匹配

    font_properties = fm.FontProperties(family='Times New Roman', size=18)
    plt.rcParams.update({'font.size': 18, 'font.family': 'Times New Roman'})

    # 创建图形和绘制数据
    plt.figure(figsize=(10, 5))
    ax = plt.gca()  # 获取当前的Axes对象ax
    ax.set_facecolor('#f0f0f0')  # 设置浅灰色背景
    plt.plot(x_labels, edf_data, marker='s', linestyle='-', color='#C8503D', markersize=8, label='EDF')
    plt.plot(x_labels, llf_data, marker='^', linestyle='-', color='#00008B', markersize=8, label='LLF')
    
    # 添加标题、标签和图例
    plt.title('5KB-1.5*Deadline', fontsize=20, fontproperties=font_properties)
    plt.xlabel('Load (% of maximum RPS)', fontproperties=font_properties)
    plt.ylabel('Deadline Miss Rate (%)', fontproperties=font_properties)
    plt.legend(prop=font_properties)
    
    # 设置X轴刻度
    plt.xticks(range(50, 91, 10))
    
    # 设置网格
    plt.grid(True)
    
    # 移除边框的四边刻度线
    plt.tick_params(axis='both', which='both', length=0)  # 移除刻度线

    # 显示图形
    plt.show()

if __name__ == "__main__":
    main()