Files
2026_mcm_b/p2/plot_energy_distribution_paper.py
2026-02-03 01:09:09 +08:00

86 lines
2.8 KiB
Python

"""
生成论文用的能量分布图 - 改进版
"""
import numpy as np
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
from matplotlib import rcParams
from matplotlib.ticker import MaxNLocator
import pandas as pd
# 设置字体
rcParams['font.sans-serif'] = ['Arial', 'DejaVu Sans', 'Helvetica']
rcParams['axes.unicode_minus'] = False
rcParams['font.size'] = 11
# 读取模拟结果数据
df = pd.read_csv('/Volumes/Files/code/mm/20260130_b/p2/simulation_results.csv')
# 中低饱和度配色方案 - 不同于之前的绿蓝紫,使用暖色调
colors = ['#D4936A', '#6AACAC', '#C48BB8'] # 柔和的橙、青、玫瑰
# 方案名称
scenario_labels = {
'Scenario_A': 'Cost Priority',
'Scenario_B': 'Time Priority',
'Scenario_C': 'Balanced'
}
# 创建图表 - 缩小尺寸以放大字体效果
fig, axes = plt.subplots(1, 3, figsize=(10, 3.2))
for idx, (scenario_key, label) in enumerate(scenario_labels.items()):
ax = axes[idx]
# 获取该方案的数据
data = df[df['scenario'] == scenario_key]['total_energy_pj']
# 计算统计量
mean_val = np.mean(data)
p5 = np.percentile(data, 5)
p95 = np.percentile(data, 95)
# 绘制柱状图 - 实心柱状图,增粗柱子
ax.hist(data, bins=15, color=colors[idx], alpha=0.9,
edgecolor='white', linewidth=0.8, rwidth=0.9)
# 设置子图标题 - 简洁的 (a) (b) (c) 标签
ax.set_title(f'({chr(97+idx)}) {label}', fontsize=12, fontweight='normal', pad=8)
# 设置坐标轴标签
ax.set_xlabel('Total Energy (PJ)', fontsize=11)
if idx == 0:
ax.set_ylabel('Frequency', fontsize=11)
# 在图内右上角添加纯文本统计信息(无边框)
text_str = f'Mean: {mean_val:.0f}\n5%: {p5:.0f}\n95%: {p95:.0f}'
ax.text(0.97, 0.97, text_str, transform=ax.transAxes, fontsize=9,
verticalalignment='top', horizontalalignment='right',
bbox=dict(boxstyle='round,pad=0.3', facecolor='white',
edgecolor='none', alpha=0.85))
# 网格线 - 非常淡
ax.grid(True, alpha=0.15, linestyle='-', linewidth=0.5)
# 设置刻度字体大小
ax.tick_params(axis='both', labelsize=10)
# 简化边框
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
# 调整布局
plt.tight_layout()
# 保存图片
plt.savefig('/Volumes/Files/code/mm/20260130_b/p2/energy_distribution_paper.png',
dpi=200, bbox_inches='tight', facecolor='white')
plt.savefig('/Volumes/Files/code/mm/20260130_b/p2/energy_distribution_paper.pdf',
dpi=200, bbox_inches='tight', facecolor='white')
print("图表已保存:")
print(" - energy_distribution_paper.png")
print(" - energy_distribution_paper.pdf")