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