numpy.atleast_2d() in Python (original) (raw)

Last Updated : 28 Nov, 2018

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)

Parameters :
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

import numpy as geek

in_num = 10

print ( "Input number : " , in_num)

out_arr = geek.atleast_2d(in_num)

print ( "output 2d array from input number : " , out_arr)

Output :

Input number : 10 output 2d array from input number : [[10]]

Code #2 : Working

import numpy as geek

my_list = [ 2 , 6 , 10 ],

print ( "Input list : " , my_list)

out_arr = geek.atleast_2d(my_list)

print ( "output 2d array : " , out_arr)

Output :

Input list : ([2, 6, 10], ) output 2d array : [[ 2 6 10]]

Code #3 : Working

import numpy as geek

in_arr = geek.arange( 9 ).reshape( 3 , 3 )

print ( "Input array :\n " , in_arr)

out_arr = geek.atleast_2d(in_arr)

print ( "output array :\n " , out_arr)

print (in_arr is out_arr)

Output :

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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