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Python | Reverse a numpy array

  • Last Updated : 21 Feb, 2019

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

Method #1: Using shortcut Method




# Python code to demonstrate
# how to reverse numpy array
# using shortcut method
  
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]

 
Method #2: Using flipud function




# Python code to demonstrate
# how to reverse numpy array
# using flipud method
  
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]

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