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
# Python program explaining # numpy.atleast_2d() function 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
# Python program explaining # numpy.atleast_2d() function 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
# Python program explaining # numpy.atleast_2d() function # when inputs are in high dimension 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
