nas / plot.py
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import matplotlib.pyplot as plt
import numpy as np
# # 中文显示(需要安装思源宋体或其他中文字体)
# plt.rcParams['font.sans-serif'] = ['SimHei'] # 可换为 'Source Han Sans CN' 等
# plt.rcParams['axes.unicode_minus'] = False
# 标签(12项)
labels = [
'\nOlympiad',
'\nGPQA-Diamond',
'\nGAOKAO-MM',
'\nMathVista',
'\nMMMU',
'\nM³oralBench',
'\nMM-SafetyBench',
'\nSIUO',
'\nFLAMES',
'\nMSSBench',
]
# 补齐到12项(图片中是12边形,可能有2项未标出,补齐平滑对称)
labels = labels[:5] + [''] + labels[5:] + ['']
num_vars = len(labels)
# 数据
base_model_scores = [59.88, 59.60, 78.17, 76.10, 70.94, 64.50, 92.04, 90.53, 65.31, 74.83, 0, 0]
safe_model_scores = [59.88, 59.60, 78.17, 76.10, 70.94, 64.50, 92.04, 90.53, 65.31, 74.83, 0, 0]
# 转为角度
angles = np.linspace(0, 2 * np.pi, num_vars, endpoint=False).tolist()
scores_base = base_model_scores + [base_model_scores[0]] # 闭合
scores_safe = safe_model_scores + [safe_model_scores[0]]
angles += [angles[0]]
# 图形设置
fig, ax = plt.subplots(figsize=(8, 8), subplot_kw=dict(polar=True))
# 绘制
ax.plot(angles, scores_base, color='#4B63FF', linewidth=2, label='s')
ax.fill(angles, scores_base, color='#4B63FF', alpha=0.2)
ax.plot(angles, scores_safe, color='#FF77AC', linewidth=2, label='SafeWork-R1', marker='s')
ax.fill(angles, scores_safe, color='#FF77AC', alpha=0.2)
# 设置刻度与标签
ax.set_xticks(angles[:-1])
ax.set_xticklabels(labels, fontsize=10)
# 设置范围与网格
ax.set_rlabel_position(0)
ax.set_ylim(50, 100)
ax.yaxis.grid(True)
ax.xaxis.grid(True)
# 添加图例
plt.legend(loc='lower center', bbox_to_anchor=(0.5, -0.1), ncol=2)
plt.title('a vs b', fontsize=14, pad=20)
plt.tight_layout()
# 保存图片
plt.savefig('radar_chart.png', dpi=300, bbox_inches='tight') # 或保存为 PDF: 'radar_chart.pdf'
plt.show()