In [1]:

    

import numpy as np


    

In [2]:

    

a_2d = np.arange(6).reshape(2, 3)
print(a_2d)


    

    




[[0 1 2]
 [3 4 5]]

In [3]:

    

a_2d_flipud = np.flipud(a_2d)
print(a_2d_flipud)


    

    




[[3 4 5]
 [0 1 2]]

In [4]:

    

print(np.shares_memory(a_2d, a_2d_flipud))


    

    




True

In [5]:

    

a_2d_flipud_copy = np.flipud(a_2d).copy()
print(a_2d_flipud_copy)


    

    




[[3 4 5]
 [0 1 2]]

In [6]:

    

print(np.shares_memory(a_2d, a_2d_flipud_copy))


    

    




False

In [7]:

    

print(a_2d[::-1])


    

    




[[3 4 5]
 [0 1 2]]

In [8]:

    

a_1d = np.arange(3)
print(a_1d)


    

    




[0 1 2]

In [9]:

    

print(np.flipud(a_1d))


    

    




[2 1 0]

In [10]:

    

print(a_1d[::-1])


    

    




[2 1 0]

In [11]:

    

a_3d = np.arange(24).reshape(2, 3, 4)
print(a_3d)


    

    




[[[ 0  1  2  3]
  [ 4  5  6  7]
  [ 8  9 10 11]]

 [[12 13 14 15]
  [16 17 18 19]
  [20 21 22 23]]]

In [12]:

    

print(np.flipud(a_3d))


    

    




[[[12 13 14 15]
  [16 17 18 19]
  [20 21 22 23]]

 [[ 0  1  2  3]
  [ 4  5  6  7]
  [ 8  9 10 11]]]

In [13]:

    

print(a_3d[::-1])


    

    




[[[12 13 14 15]
  [16 17 18 19]
  [20 21 22 23]]

 [[ 0  1  2  3]
  [ 4  5  6  7]
  [ 8  9 10 11]]]