编写一段求幂律函数自组织临界值的代码
时间: 2024-05-05 09:18:39 浏览: 17
好的,以下是求幂律函数自组织临界值的代码:
```python
import numpy as np
import matplotlib.pyplot as plt
# 设置幂律分布
xmin = 1
alpha = 2.5
N = 1000
s = (np.random.pareto(alpha, N) + 1) * xmin
# 绘制次数分布图
count, bins, ignored = plt.hist(s, bins=50, density=True,
color='gray', alpha=0.4)
# 计算临界值
c = np.sum(np.log(s/xmin)) / N + 1
x = np.linspace(min(bins), max(bins), 100)
y = c * x**(-alpha)
plt.plot(x, y, linewidth=2, color='r')
# 绘制图形
plt.xlabel('Value')
plt.ylabel('Probability Density')
plt.title(r'$\mathrm{Power\ Law\ Distribution}\ \alpha=%s$' % alpha)
plt.show()
```
希望以上代码可以帮到你。现在,你有什么其它问题吗?
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