在Python中创建“相对”和“分组”图表的组合

import matplotlib.pyplot as plt

fig, (ax1, ax2) = plt.subplots(2, 1)

# 相对图表
relative_data = [10, 20, 30, 40, 50]
ax1.bar(range(len(relative_data)), relative_data)
ax1.set_title('Relative Chart')

# 分组图表
group_data1 = [15, 25, 35, 45, 55]
group_data2 = [20, 30, 40, 50, 60]
group_width = 0.35
ax2.bar(range(len(group_data1)), group_data1, width=group_width, label='Group 1')
ax2.bar([x + group_width for x in range(len(group_data2))], group_data2, width=group_width, label='Group 2')
ax2.set_title('Grouped Chart')
ax2.legend()

plt.show()

import seaborn as sns

# 相对图表
relative_data = [10, 20, 30, 40, 50]
sns.barplot(x=range(len(relative_data)), y=relative_data)
plt.title('Relative Chart')

# 分组图表
group_data1 = [15, 25, 35, 45, 55]
group_data2 = [20, 30, 40, 50, 60]
sns.barplot(x=range(len(group_data1)), y=group_data1, color='blue', alpha=0.5, label='Group 1')
sns.lineplot(x=range(len(group_data2)), y=group_data2, color='red', marker='o', label='Group 2')
plt.title('Grouped Chart')
plt.legend()

plt.show()