As we know Numpy is a general-purpose array-processing package that provides a high-performance multidimensional array object, and tools for working with these arrays. Let's discuss how can we reverse a Numpy array. 

Using flip() function to Reverse a Numpy array

The numpy.flip() function reverses the order of array elements along the specified axis, preserving the shape of the array.

import numpy as np

# initialising numpy array
ini_array = np.array([1, 2, 3, 6, 4, 5])

# using shortcut method to reverse
res = np.flip(ini_array)

# printing result
print("final array", str(res))

Output:

final array [5 4 6 3 2 1]

Using the list slicing method to reverse a Numpy array

This method makes a copy of the list instead of sorting it in order. To accommodate all of the current components, making a clone requires additional room. More RAM is used up in this way. Here, we're utilizing Python's slicing method to invert our list.

import numpy as np

# initialising numpy array
ini_array = np.array([1, 2, 3, 6, 4, 5])

# printing initial ini_array
print("initial array", str(ini_array))

# printing type of ini_array
print("type of ini_array", type(ini_array))

# using shortcut method to reverse
res = ini_array[::-1]

# printing result
print("final array", str(res))

Output:

initial array [1 2 3 6 4 5]
type of ini_array <class 'numpy.ndarray'>
final array [5 4 6 3 2 1]

Using flipud function to Reverse a Numpy array 

The numpy.flipud() function flips the array(entries in each column) in up-down direction, shape preserved.

import numpy as np

# initialising numpy array
ini_array = np.array([1, 2, 3, 6, 4, 5])

# printing initial ini_array
print("initial array", str(ini_array))

# printing type of ini_array
print("type of ini_array", type(ini_array))

# using flipud method to reverse
res = np.flipud(ini_array)

# printing result
print("final array", str(res))

Output:

initial array [1 2 3 6 4 5]
type of ini_array <class 'numpy.ndarray'>
final array [5 4 6 3 2 1]