i am sorry for the very naive question.
I have these lines of numpy code, with a transpose at the beginning, and strides and reshape are used afterward.
I wonder if by re-ordering indices in reshape and stride, I could get rid of the first transpose function?
Please, can someone help me with that?

import numpy as np

# Input data
array = np.array([[1, 60],
                  [2, 70],
                  [3, 80],
                  [4, 90]])
depth = 3

# Function
n_rows, n_cols = array.shape
array = array.T    # transpose function here
shape = array.shape[:-1] + (array.shape[-1] - depth + 1, depth - 1)
strides = array.strides + (array.strides[-1],)
array = np.lib.stride_tricks.as_strided(array, shape=shape, strides=strides)
reshaped = np.reshape(
    np.swapaxes(array, 0, 1),
    (n_rows-depth+1, (depth - 1) * n_cols),
)

Input and result are then:

array
Out[5]: 
array([[ 1, 60],
       [ 2, 70],
       [ 3, 80],
       [ 4, 90]])


reshaped
Out[6]: 
array([[ 1,  2, 60, 70],
       [ 2,  3, 70, 80]])