numpy.asscalar() is used when we want to convert an array of size 1 to its scalar equivalent.
Syntax : numpy.asscalar (arr)
Parameters:
arr: [ndarray] Input array of size 1.
Return: Scalar representation of arr. The output data type is the same type returned by the input’s item method.
Code # 1: Work
| # Python program explaining
# numpy.asscalar () function import numpy as geek # create an array of size 1 in_arr = geek.array ([ 8 ]) print ( "Input array:" , in_arr) out_scalar = geek .asscalar (in_arr) print ( "output scalar from input array:" , out_scalar) |
Output:
Input array: [8] output scalar from input array: 8
Code # 2:
| # Python program explaining
# numpy. asscalar () function import numpy as geek in_list = [ 2 ]
# change the list to size 1 array arr = geek.array (in_list ) print ( " Input array from list: " , arr)
# changing the array to a scalar scalar = geek.asscalar (arr) print ( "output scalar from input list: " , scalar) |
Output:
Input ar ray from list: [2] output scalar from input list: 2
