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# initialising numpy arrayini_array = np.array([1, 2, 3, 6, 4, 5])# using shortcut method to reverseres = np.flip(ini_array)# printing resultprint("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.
Python3
import numpy as np# initialising numpy arrayini_array = np.array([1, 2, 3, 6, 4, 5])# printing initial ini_arrayprint("initial array", str(ini_array))# printing type of ini_arrayprint("type of ini_array", type(ini_array))# using shortcut method to reverseres = ini_array[::-1]# printing resultprint("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.
Python3
import numpy as np# initialising numpy arrayini_array = np.array([1, 2, 3, 6, 4, 5])# printing initial ini_arrayprint("initial array", str(ini_array))# printing type of ini_arrayprint("type of ini_array", type(ini_array))# using flipud method to reverseres = np.flipud(ini_array)# printing resultprint("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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