numpy.multiply () in Python

numpy.multiply() is used when we want to compute the multiplication of two arrays. Returns the product of arr1 and arr2 element by element.

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

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 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 product of arr1 and arr2, element-wise.

Code # 1:

# Python program explaining
# numpy.multiply () 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.multiply (in_num1, in_num2) 

print ( "output number:" , out_num) 

Output:

 1st Input number: 4 2nd Input number: 6 output number: 24  

Code # 2:

# Python program explaining
# numpy.multiply () function

 

import numpy as geek

 

in_arr1 = geek.array ([[ 2 , - 7 , 5 ], [ - 6 , 2 , 0 ]])

in_arr2 = geek.array ([[ 0 , - 7 , 8 ], [ 5 , - 2 , 9 ]])

 

print ( "1st Input array:" , in_arr1)

print ( "2nd Input array:" , in_arr2)

 

 

out_arr = geek.multiply (in_arr1, in_arr2) 

print ( " Resultant output array: " , out_arr) 

Output:

 1st Input array : [[2 -7 5] [-6 2 0]] 2nd Input array: [[0 -7 8] [5 -2 9]] Resul tant output array: [[0 49 40] [-30 -4 0]]