使用matplotlib将多个直方图放入堆栈

import matplotlib.pyplot as plt
import numpy as np

# 生成示例数据
np.random.seed(0)
data1 = np.random.normal(100, 10, 200)
data2 = np.random.normal(80, 30, 200)
data3 = np.random.normal(90, 20, 200)
data = [data1, data2, data3]

# 设置直方图的区间
bins = np.linspace(50, 150, 30)

# 创建堆叠直方图
plt.hist(data, bins=bins, label=['Data 1', 'Data 2', 'Data 3'], stacked=True)

# 添加图例
plt.legend()

# 设置标题和轴标签
plt.title('Stacked Histogram Example')
plt.xlabel('Value')
plt.ylabel('Frequency')

# 显示图表
plt.show()

import matplotlib.cm as cm

colors = cm.viridis(np.linspace(0, 1, len(data)))
plt.hist(data, bins=bins, label=['Data 1', 'Data 2', 'Data 3'], stacked=True, color=colors)