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绘制图.py

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+import matplotlib.pyplot as plt
+import numpy as np
+plt.rcParams['font.sans-serif'] = 'SimHei'
+import matplotlib.pyplot as plt
+import numpy as np
+
+# 数据
+risk_levels = ["高风险", "次高风险", "次低风险", "低风险"]
+material = [41.7, 34.0, 58.3, 36.8]
+equipment = [16.7, 18.0, 8.3, 10.5]
+design = [37.5, 38.0, 33.3, 31.6]
+manufacturing = [4.2, 10.0, 0.0, 21.1]
+
+# 设置柱状图位置
+x = np.arange(len(risk_levels))
+width = 0.6
+
+# 绘制堆叠柱状图
+fig, ax = plt.subplots(figsize=(10,6))
+
+bars_material = ax.bar(x, material, width, label="材料", color="#1f77b4")
+bars_equipment = ax.bar(x, equipment, width, bottom=material, label="设备", color="#ff7f0e")
+bars_design = ax.bar(x, design, width, bottom=np.array(material)+np.array(equipment), label="设计", color="#2ca02c")
+bars_manufacturing = ax.bar(x, manufacturing, width, bottom=np.array(material)+np.array(equipment)+np.array(design), label="制造封测", color="#d62728")
+
+# 添加柱内比例标签
+for i in range(len(x)):
+    # 材料
+    ax.text(x[i], material[i]/2, f"{material[i]:.1f}%", ha='center', va='center', color='white', fontsize=10)
+    # 设备
+    ax.text(x[i], material[i]+equipment[i]/2, f"{equipment[i]:.1f}%", ha='center', va='center', color='white', fontsize=10)
+    # 设计
+    ax.text(x[i], material[i]+equipment[i]+design[i]/2, f"{design[i]:.1f}%", ha='center', va='center', color='white', fontsize=10)
+    # 制造封测
+    if manufacturing[i] > 0:
+        ax.text(x[i], material[i]+equipment[i]+design[i]+manufacturing[i]/2, f"{manufacturing[i]:.1f}%", ha='center', va='center', color='white', fontsize=10)
+
+# 图表美化
+ax.set_xticks(x)
+ax.set_xticklabels(risk_levels)
+ax.set_ylabel("占比 (%)")
+ax.set_title("各风险等级企业结构占比（堆叠柱状图）")
+ax.legend()
+ax.set_ylim(0, 120)
+ax.grid(axis='y', linestyle='--', alpha=0.7)
+
+plt.tight_layout()
+plt.show()