百分比注解Matplotlib条并排显示

import matplotlib.pyplot as plt

# 数据
categories = ['A', 'B', 'C', 'D']
values1 = [30, 40, 20, 10]
values2 = [15, 25, 35, 25]

# 计算百分比
total1 = sum(values1)
total2 = sum(values2)
percentages1 = [value/total1*100 for value in values1]
percentages2 = [value/total2*100 for value in values2]

# 绘制条形图
fig, ax = plt.subplots()
bar_width = 0.35
index = range(len(categories))

rects1 = ax.bar(index, values1, bar_width, label='Group 1')
rects2 = ax.bar([i + bar_width for i in index], values2, bar_width, label='Group 2')

# 添加百分比注解
for i, rect in enumerate(rects1):
    ax.annotate(f'{percentages1[i]:.1f}%', xy=(rect.get_x() + rect.get_width() / 2, rect.get_height()), xytext=(0, 3),
                textcoords="offset points", ha='center', va='bottom')

for i, rect in enumerate(rects2):
    ax.annotate(f'{percentages2[i]:.1f}%', xy=(rect.get_x() + rect.get_width() / 2, rect.get_height()), xytext=(0, 3),
                textcoords="offset points", ha='center', va='bottom')

# 设置图例和标签
ax.set_xlabel('Categories')
ax.set_ylabel('Values')
ax.set_title('Bar Chart with Percentage Annotation')
ax.set_xticks([i + bar_width / 2 for i in index])
ax.set_xticklabels(categories)
ax.legend()

plt.show()