Python | Reverse a numpy array
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.
Python3
import numpy as np
ini_array = np.array([ 1 , 2 , 3 , 6 , 4 , 5 ])
res = np.flip(ini_array)
print ( "final array" , str (res))
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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.
Python3
import numpy as np
ini_array = np.array([ 1 , 2 , 3 , 6 , 4 , 5 ])
print ( "initial array" , str (ini_array))
print ( "type of ini_array" , type (ini_array))
res = ini_array[:: - 1 ]
print ( "final array" , str (res))
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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.
Python3
import numpy as np
ini_array = np.array([ 1 , 2 , 3 , 6 , 4 , 5 ])
print ( "initial array" , str (ini_array))
print ( "type of ini_array" , type (ini_array))
res = np.flipud(ini_array)
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]
Last Updated :
16 Sep, 2022
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