上传文件至「/」

求职者人物画像

clustering_distribution_plot.py

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+import pandas as pd
+import matplotlib.pyplot as plt
+import matplotlib.patches as mpatches
+
+# 读取你的聚类结果CSV
+df = pd.read_csv("./clustering_result.csv")
+# 统计各赛道人数
+cluster_count = df["技术赛道标签"].value_counts()
+
+# 绘图设置
+plt.rcParams["font.sans-serif"] = ["SimHei"]
+plt.figure(figsize=(10,7))
+colors = ["#FF6B6B","#4ECDC4","#45B7D1","#96CEB4","#FECA57","#DDA0DD"]
+
+# 绘制饼图
+wedges, texts, autotexts = plt.pie(
+    cluster_count.values,
+    labels=cluster_count.index,
+    colors=colors,
+    autopct="%1.1f%%",
+    startangle=90,
+    textprops={"fontsize":10}
+)
+
+plt.title("简历聚类-技术赛道人数分布", fontsize=16, pad=20)
+plt.savefig("聚类赛道分布饼图.png", dpi=300, bbox_inches="tight")
+plt.show()