import scipyfrom scipy import optimizedef fit_log():y = [0.02584549571121697, 0.024714675534516672, 0.02399003837250635, 0.03367196131526129, 0.023607021803375372]# 替换为自己的数据x = np.array(range(1, len(y

import numpy as npdef expectation(a):print('移除前：', a)a.remove(max(a)), a.remove(min(a))print('移除后：', a)mean_a = np.mean(a)return mean_a# 实验x = np.linspace(1, 5, 5)y = expectation(list(x))# remove 函数只能