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The NumPy multiply() function is used to multiply arguments element-wise. The syntax for using this function is given below:

Note: It is equivalent to x1 * x2 in terms of array broadcasting.


numpy.multiply(x1, x2, out=None)


x1, x2 Required. Specify the arrays to be multiplied. If x1.shape != x2.shape, they must be broadcastable to a common shape.
out Optional. Specify 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.

Return Value

Returns product of x1 and x2, element-wise.


The below example shows the usage of multiply() function.

import numpy as np
Arr1 = np.array([[10,20],[30,40]])
Arr2 = np.array([[2,3]])
Arr3 = np.array([[2],[3]])
Arr4 = np.array([[2,3],[4,5]])

#multiply each element of Arr1 with 5
print("multiply(Arr1, 5) returns:")
print(np.multiply(Arr1, 5))

#multiplying elements of Arr1 with Arr2
#Arr1 and Arr2 are broadcastable
print("\nmultiply(Arr1, Arr2) returns:")
print(np.multiply(Arr1, Arr2))

#multiplying elements of Arr1 with Arr3
#Arr1 and Arr3 are broadcastable
print("\nmultiply(Arr1, Arr3) returns:")
print(np.multiply(Arr1, Arr3))

#multiplying elements of Arr1 with Arr4
print("\nmultiply(Arr1, Arr4) returns:")
print(np.multiply(Arr1, Arr4))

The output of the above code will be:

multiply(Arr1, 5) returns:
[[ 50 100]
 [150 200]]

multiply(Arr1, Arr2) returns:
[[ 20  60]
 [ 60 120]]

multiply(Arr1, Arr3) returns:
[[ 20  40]
 [ 90 120]]

multiply(Arr1, Arr4) returns:
[[ 20  60]
 [120 200]]

❮ NumPy - Functions