numpy.atleast_2d() function is used when we want to Convert inputs to arrays with at least two dimension. Scalar and 1-dimensional inputs are converted to 2-dimensional arrays, whilst higher-dimensional inputs are preserved.
Syntax : numpy.atleast_2d(*arrays)
arrays1, arrays2, … : [array_like] One or more array-like sequences. Non-array inputs are converted to arrays. Arrays that already have two or more dimensions are preserved.
Return : An array, or list of arrays, each with a.ndim >= 2. Copies are avoided where possible, and views with two or more dimensions are returned.
Code #1 : Working
Input number : 10 output 2d array from input number : []
Code #2 : Working
Input list : ([2, 6, 10], ) output 2d array : [[ 2 6 10]]
Code #3 : Working
Input 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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