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numpy.subtract() in Python

  • Difficulty Level : Basic
  • Last Updated : 10 Feb, 2019

numpy.subtract() function is used when we want to compute the difference of two array.It returns the difference of arr1 and arr2, element-wise.

Syntax : numpy.subtract(arr1, arr2, /, out=None, *, where=True, casting=’same_kind’, order=’K’, dtype=None, subok=True[, signature, extobj], ufunc ‘subtract’)

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Parameters :
arr1 : [array_like or scalar]1st Input array.
arr2 : [array_like or scalar]2nd Input array.
dtype : The type of the returned array. By default, the dtype of arr is used.
out : [ndarray, optional] A location into which the result is stored.
  -> If provided, it must have a shape that the inputs broadcast to.
  -> If not provided or None, a freshly-allocated array is returned.
where : [array_like, optional] Values of True indicate to calculate the ufunc at that position, values of False indicate to leave the value in the output alone.
**kwargs : Allows to pass keyword variable length of argument to a function. Used when we want to handle named argument in a function.



Return : [ndarray or scalar] The difference of arr1 and arr2, element-wise. Returns a scalar if both arr1 and arr2 are scalars.

Code #1 :




# Python program explaining
# numpy.subtract() function
  
import numpy as geek
in_num1 = 4
in_num2 = 6
  
print ("1st Input  number : ", in_num1)
print ("2nd Input  number : ", in_num2)
    
out_num = geek.subtract(in_num1, in_num2) 
print ("Difference of two input number : ", out_num) 
Output :
1st Input number :  4
2nd Input number :  6
Difference of two input number :  -2

 

Code #2 :




# Python program explaining
# numpy.subtract() function
  
import numpy as geek
  
in_arr1 = geek.array([[2, -4, 5], [-6, 2, 0]])
in_arr2 = geek.array([[0, -7, 5], [5, -2, 9]])
   
print ("1st Input array : ", in_arr1)
print ("2nd Input array : ", in_arr2)
   
    
out_arr = geek.subtract(in_arr1, in_arr2) 
print ("Output array: ", out_arr) 
Output :
1st Input array :  [[ 2 -4  5]
 [-6  2  0]]
2nd Input array :  [[ 0 -7  5]
 [ 5 -2  9]]
Output array:  [[  2   3   0]
 [-11   4  -9]]




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