请根据如下语言画出图:import matplotlib.pyplot as plt import matplotlib.patches as patches # 创建画布 fig, ax = plt.subplots(figsize=(10, 6)) ax.set_xlim(0, 10) ax.set_ylim(0, 10) ax.axis('off') # 添加层级框及文字 # 最外层:七大维度 outer_box = patches.FancyBboxPatch((1, 7.5), 8, 2, boxstyle="round,pad=0.02", edgecolor="black", facecolor="#e6f2ff") ax.add_patch(outer_box) ax.text(5, 8.5, "最外层:七大核心维度", ha="center", va="center", fontsize=12, weight='bold') ax.text(5, 7.9, "发展愿景|时空生态|学校治理|课程教学|组织形态|制度与文化|发展取向", ha="center", fontsize=10) # 中间层:24个领域 middle_box = patches.FancyBboxPatch((2, 4.5), 6, 2.5, boxstyle="round,pad=0.02", edgecolor="black", facecolor="#d5f4e6") ax.add_patch(middle_box) ax.text(5, 6.2, "中间层:24个行动领域", ha="center", va="center", fontsize=12, weight='bold') ax.text(5, 5.5, "例如:课程设计|教室空间|家校协同|生态管理|文化营造等", ha="center", fontsize=10) # 内层:58项指标 inner_box = patches.FancyBboxPatch((3, 2), 4, 2, boxstyle="round,pad=0.02", edgecolor="black", facecolor="#fff2cc") ax.add_patch(inner_box) ax.text(5, 3.4, "最内层:58项核心指标", ha="center", va="center", fontsize=12, weight='bold') ax.text(5, 2.7, "操作定义|数据来源|采集周期|评估工具", ha="center", fontsize=10) # 添加箭头 ax.annotate("", xy=(5, 7.5), xytext=(5, 6.9), arrowprops=dict(arrowstyle="->", lw=1.5)) ax.annotate("", xy=(5, 4.5), xytext=(5, 4.0), arrowprops=dict(arrowstyle="->", lw=1.5)) plt.title("未来学校三层指标体系结构图", fontsize=14, weight='bold') plt.tight_layout() plt.show()

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