Input includes scalars, lists, lists of tuples, tuples, tuples of tuples, tuples of lists, and ndarrays.
Syntax: numpy.atleast_3d (* arrays) p>
arrays1, arrays2,…: [array_like] One or more array-like sequences. Non-array inputs are converted to arrays. Arrays that already have three or more dimensions are preserved.
Return: An array, or list of arrays, each with arr.ndim & gt; = 3. Copies are avoided where possible , and views with three or more dimensions are returned. For example, a 1-D array of shape (N,) becomes a view of shape (1, N, 1), and a 2-D array of shape (M, N) becomes a view of shape (M, N, 1).
Code # 1: Work
# Python program explaining
# numpy.atleast_3d () function
numpy as geek
in_num code >
print code >
"output 3d array from input number:"
Input number: 10 output 3d array from input number: [[]]
Code # 2: Work
Input lis t: [[2, 6, 10], [8, 12, 16]] output array: [[  ] [  ]]
Code # 3: Work
Input array: [[[0 1 2 3] [4 5 6 7] [8 9 10 11] [12 13 14 15]]] output array: [[[0 1 2 3] [4 5 6 7] [8 9 10 11] [12 13 14 15]]] True
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