# 数据模拟代码（示意）
 
import matplotlib.pyplot as plt
 
# 设置字体为SimHei，确保该字体在你的系统中存在
plt.rcParams['font.sans-serif'] = ['SimHei']  # 指定默认字体
plt.rcParams['axes.unicode_minus'] = False  # 解决保存图像时负号'-'显示为方块的问题
 
metrics = {
     '处理能力': [3.2, 5.8], # 万吨/日 
     'COD达标率': [0.68, 0.93], 
     '投诉量': [127, 19], # 件/季度 
     '运维成本': [2.1, 1.6] # 元/吨 
}
 
fig, axs = plt.subplots(2,2)
for i, (k,v) in enumerate(metrics.items()): 
    ax = axs[i//2, i%2]
    ax.bar([' 治理前','治理后'], v, color=['#ff7f0e','#1f77b4']) 
    ax.set_title(k)
 
plt.show() 

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