In [1]:

    

import numpy as np


    

In [2]:

    

a = np.arange(10, 35).reshape(5, 5)
print(a)


    

    




[[10 11 12 13 14]
 [15 16 17 18 19]
 [20 21 22 23 24]
 [25 26 27 28 29]
 [30 31 32 33 34]]

In [3]:

    

col_swap = a[:, [3, 2, 4, 0, 1]]
print(col_swap)


    

    




[[13 12 14 10 11]
 [18 17 19 15 16]
 [23 22 24 20 21]
 [28 27 29 25 26]
 [33 32 34 30 31]]

In [4]:

    

col_inverse = a[:, ::-1]
print(col_inverse)


    

    




[[14 13 12 11 10]
 [19 18 17 16 15]
 [24 23 22 21 20]
 [29 28 27 26 25]
 [34 33 32 31 30]]

In [5]:

    

col_select = a[:, [2, 4, 0]]
print(col_select)


    

    




[[12 14 10]
 [17 19 15]
 [22 24 20]
 [27 29 25]
 [32 34 30]]

In [6]:

    

col_select2 = a[:, [2, 2, 2]]
print(col_select2)


    

    




[[12 12 12]
 [17 17 17]
 [22 22 22]
 [27 27 27]
 [32 32 32]]

In [7]:

    

row_swap = a[[3, 2, 4, 0, 1], :]
print(row_swap)


    

    




[[25 26 27 28 29]
 [20 21 22 23 24]
 [30 31 32 33 34]
 [10 11 12 13 14]
 [15 16 17 18 19]]

In [8]:

    

row_swap = a[[3, 2, 4, 0, 1]]
print(row_swap)


    

    




[[25 26 27 28 29]
 [20 21 22 23 24]
 [30 31 32 33 34]
 [10 11 12 13 14]
 [15 16 17 18 19]]

In [9]:

    

row_inverse = a[::-1]
print(row_inverse)


    

    




[[30 31 32 33 34]
 [25 26 27 28 29]
 [20 21 22 23 24]
 [15 16 17 18 19]
 [10 11 12 13 14]]

In [10]:

    

row_select = a[[2, 4, 0]]
print(row_select)


    

    




[[20 21 22 23 24]
 [30 31 32 33 34]
 [10 11 12 13 14]]

In [11]:

    

row_select2 = a[[2, 2, 2]]
print(row_select2)


    

    




[[20 21 22 23 24]
 [20 21 22 23 24]
 [20 21 22 23 24]]