NumPy Array in Python

numpy.asscalar() in Python

Last Updated : 28 Nov, 2018

numpy.asscalar() function 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 : Working

Python

# Python program explaining
# numpy.asscalar() function

import numpy as geek
# creating a 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

# Python program explaining
# numpy.asscalar() function
import numpy as geek

in_list = [2 ]

# changing the list to size 1 array
arr = geek.array(in_list) 

print ("Input  array from list : ", arr)

# changing the array to scalar  
scalar = geek.asscalar(arr)

print ("output scalar from input list : ", scalar)

Output :

Input  array from list :  [2]
output scalar from input list :  2

NumPy Array in Python

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