import pandas as pd
import matplotlib.pyplot as plt

data = {
    '疗法': ['光动力疗法', '传统手术', '化疗', '放疗'],
    '创伤性': [1, 5, 4, 3],
    '副作用': [2, 5, 4, 4],
    '疗效': [4, 5, 4, 3]
}

df = pd.DataFrame(data)

fig, ax = plt.subplots(figsize=(8, 6))
bar_width = 0.2
index = range(len(df))

bars1 = ax.bar(index, df['创伤性'], bar_width, label='创伤性', color='b')
bars2 = ax.bar([i + bar_width for i in index], df['副作用'], bar_width, label='副作用', color='g')
bars3 = ax.bar([i + 2 * bar_width for i in index], df['疗效'], bar_width, label='疗效', color='r')

ax.set_xlabel('疗法')
ax.set_ylabel('评分')
ax.set_title('光动力疗法与传统疗法的对比')
ax.set_xticks([i + bar_width for i in index])
ax.set_xticklabels(df['疗法'])
ax.legend()

plt.tight_layout()
plt.show()