绘制多个数据集并将类别与条形图进行比较

import matplotlib.pyplot as plt
import numpy as np

# 示例数据集
categories = ['A', 'B', 'C', 'D']
dataset1 = [20, 34, 30, 35]
dataset2 = [25, 32, 34, 20]

# 设置条形图的位置
bar_width = 0.35
index = np.arange(len(categories))

# 创建条形图
fig, ax = plt.subplots()
bar1 = ax.bar(index, dataset1, bar_width, label='Dataset 1')
bar2 = ax.bar(index + bar_width, dataset2, bar_width, label='Dataset 2')

# 添加标签和标题
ax.set_xlabel('Categories')
ax.set_ylabel('Values')
ax.set_title('Comparison of Multiple Datasets')
ax.set_xticks(index + bar_width / 2)
ax.set_xticklabels(categories)
ax.legend()

# 显示图表
plt.show()