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 last-position, it is rolled back to first-position.
numpy.roll(array, shift, axis = None)
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.
Output rolled array, with the same shape as a.
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 5 shift with 0 axis : [[ 4 5 6 7] [ 8 9 10 11] [ 0 1 2 3]]
These codes won’t run on online-ID. Please run them on your systems to explore the working.
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