numpy.subtract()
is used when we want to calculate the difference between two arrays. It returns the difference arr1 and arr2 element by element.
Syntax: numpy.subtract (arr1, arr2, /, out = None, *, where = True, casting = ` same_kind `, order =` K `, dtype = None, subok = True [, signature, extobj], ufunc` subtract `)
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.
 & gt ; If provided, it must have a shape that the inputs broadcast to.
 & gt; If not provided or None, a freshlyallocated 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, elementwise. 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:

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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