The numpy.roll() function rolls array elements along the specified axis. Basically what happens is that elements of the input array are being shifted. If an element is being rolled first to the last position, it is rolled back to the first position.
Syntax :
numpy.roll(array, shift, axis = None)
Parameters :
array : [array_like][array_like]Input array, whose elements we want to roll
shift : [int or int_tuple]No. of times we need to shift array elements.
If a tuple, then axis must be a tuple of the same size, and each of the given
axes is shifted
by the corresponding number.
If an int while axis is a tuple of ints, then the same value is used for all given axes.
axis : [array_like]Plane, along which we wish to roll array or shift it's elements.
Return :
Output rolled array, with the same shape as a.
Python
# Python Program illustrating# numpy.roll() method import numpy as geek array = geek.arange(12).reshape(3, 4)print("Original array : \n", array) # Rolling array; Shifting one placeprint("\nRolling with 1 shift : \n", geek.roll(array, 1))# Rolling array; Shifting five placesprint("\nRolling with 5 shift : \n", geek.roll(array, 5))# Rolling array; Shifting five places with 0th axisprint("\nRolling with 2 shift with 0 axis : \n", geek.roll(array, 2, axis = 0)) |
Output :
Original array : [[ 0 1 2 3] [ 4 5 6 7] [ 8 9 10 11]] Rolling with 1 shift : [[11 0 1 2] [ 3 4 5 6] [ 7 8 9 10]] Rolling with 5 shift : [[ 7 8 9 10] [11 0 1 2] [ 3 4 5 6]] Rolling with 2 shift with 0 axis : [[ 4 5 6 7] [ 8 9 10 11] [ 0 1 2 3]]
References :
https://docs.scipy.org/doc/numpy-dev/reference/generated/numpy.roll.html
Note :
These codes won’t run on online IDE’s. So please, run them on your systems to explore the working.
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