在Python中洗牌除第一个和最后一个元素之外的数组

我生成一个正态分布，但通过使用np.random.seed(0)来保持平均值和标准差完全相同.我正在try 混洗r，除了数组的第一个和最后一个元素，但它将剩余的元素保持在数组中的相同位置，如当前输出所示.我还给出了预期yields .

import numpy as np

np.random.seed(0)

mu, sigma = 50, 2.0 # mean and standard deviation
Nodes=10
r = np.random.normal(mu, sigma, Nodes)

sort_r = np.sort(r); 
r1=sort_r[::-1]

r1=r1.reshape(1,Nodes)


r2 = r.copy()

np.random.shuffle(r2.ravel()[1:]) 

r2=r2.reshape(1,Nodes)                         #actual radius values in mu(m)

maximum = r2.max()
indice1 = np.where(r2 == maximum)
r2[indice1] = r2[0][0]
r2[0][0] = maximum

r2[0][Nodes-1] = maximum  #+0.01*maximum

print("r2 with max at (0,0)=",[r2])

多次运行的当前输出为

r2 with max at (0,0)= [array([[54.4817864 , 51.90017684, 53.52810469, 53.73511598, 48.04544424,
        51.95747597, 50.80031442, 50.821197  , 49.7935623 , 54.4817864 ]])]

预期输出为(随机排列除第一个和最后一个元素之外的所有元素)

Run 1: r2 with max at (0,0)= [array([[54.4817864 , 53.52810469, 51.90017684, ,53.73511598, 48.04544424,49.7935623 ,50.80031442, 50.821197  , 51.95747597,  54.4817864 ]])]

Run 2: r2 with max at (0,0)= [array([[54.4817864 , 51.90017684,53.52810469, 48.04544424, 53.73511598, 51.95747597,  49.7935623 ,50.80031442, 50.821197  , 54.4817864 ]])]