使用python拟合经验分布

import numpy as np
from scipy import stats

data = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])

# 以正态分布为例
dist = stats.norm

params = dist.fit(data)

fitted_dist = dist(*params)

import matplotlib.pyplot as plt

plt.hist(data, bins=10, density=True, alpha=0.5, label='Data')
x = np.linspace(data.min(), data.max(), 100)
plt.plot(x, fitted_dist.pdf(x), 'r-', label='Fitted Distribution')
plt.legend()
plt.show()