使用scipy在循环内生成新的直方图

import numpy as np
import matplotlib.pyplot as plt
from scipy.stats import norm

data = [1, 2, 3, 4, 5]

histograms = []

for i in range(len(data)):
    # 生成随机数据
    sample = np.random.normal(data[i], 1, 1000)
    
    # 计算直方图的频数和边界
    counts, bins = np.histogram(sample, bins=30, density=True)
    
    # 将频数归一化到概率密度
    probabilities = counts / counts.sum()
    
    # 将直方图添加到列表中
    histograms.append((bins[:-1], probabilities))

for histogram in histograms:
    bins, probabilities = histogram
    plt.plot(bins, probabilities)

plt.title('Histograms')
plt.xlabel('Value')
plt.ylabel('Probability Density')
plt.legend([f'Data {i+1}' for i in range(len(data))])

plt.show()