numpy.roll() in python and it’s working

Numpy.roll()

 

In python the numpy.roll() function is provided by the NumPy Library.
The numpy.roll() Function can Shift element of array to a specific axis.
The main application of the numpy.roll() can manipulate cyclic or periodic data.

syntax :-

numpy.roll(array, shift, axis=None)

Parameters :

1.  Array :-  Array to be rolled.
2. Shift :- The number of places by which elements are shifted.
3. Axis :- The axis is Axes which elements are shifted , default is none Means array flattened before the shift.

Examples:

import numpy as np
array = np.array([10, 20, 30, 40, 50])
Rolled_array = np.roll(array, 2)
print(Rolled_array)

Output :-

[40 50 10 20 30]

Breakdown Of Code :-

import numpy as np

Explanation : 

• This line imports the NumPy library and assigns it the np 
• NumPy is a Python library used for support for arrays & mathematical operations

array = np.array([10, 20, 30, 40, 50])

Explanation :

• np.array()  creates a NumPy array from the given list [10,20,30,40,50].

Rolled_array = np.roll(array, 2)

Explanation :

• np.roll() can roll the elements of the array.
• 2 is the shift value, meaning that the elements are shifted to the right by 2 positions.
• After applying the roll the Value of the Rolled_array is [40,50,10,20,30]

print(Rolled_array)

Explanation :

• This will print the rolled array

[40, 50, 10, 20, 30]