numpy.atleast_1d() is used when we want to convert the input to arrays with at least one dimension. Scalar inputs are converted to one-dimensional arrays, while larger inputs are preserved.
Syntax: numpy.atleast_1d (* arrays)
arrays1, arrays2,…: [array_like] One or more input arrays.
Return: strong> [ndarray] An array, or list of arrays, each with a.ndim & gt; = 1. Copies are made only if necessary.
Code # 1: Work strong>
Input list: [[2, 6, 10], [8, 12 , 16]] output array: [[2 6 10] [8 12 16]]
Code # 3: Work
IInput array: [[ 0 1 2] [3 4 5] [6 7 8]] output array: [[0 1 2] [3 4 5] [6 7 8]] True`
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