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The NumPy add() function is used to add 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.add(x1, x2, out=None)


x1, x2 Required. Specify the arrays to be added. 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 sum of x1 and x2, element-wise.


The below example shows the usage of add() 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]])

#add 5 to each element of Arr1
print("add(Arr1, 5) returns:")
print(np.add(Arr1, 5))

#add elements of Arr1 and Arr2
#Arr1 and Arr2 are broadcastable
print("\nadd(Arr1, Arr2) returns:")
print(np.add(Arr1, Arr2))

#add elements of Arr1 and Arr3
#Arr1 and Arr3 are broadcastable
print("\nadd(Arr1, Arr3) returns:")
print(np.add(Arr1, Arr3))

#add elements of Arr1 and Arr4
print("\nadd(Arr1, Arr4) returns:")
print(np.add(Arr1, Arr4))

The output of the above code will be:

add(Arr1, 5) returns:
[[15 25]
 [35 45]]

add(Arr1, Arr2) returns:
[[12 23]
 [32 43]]

add(Arr1, Arr3) returns:
[[12 22]
 [33 43]]

add(Arr1, Arr4) returns:
[[12 23]
 [34 45]]

❮ NumPy - Functions