numpy.add() in Python

numpy.add() function is used when we want to compute the addition of two array. It add arguments element-wise. If shape of two arrays are not same, that is arr1.shape != arr2.shape, they must be broadcastable to a common shape (which may be the shape of one or the other).

Syntax : numpy.add(arr1, arr2, /, out=None, *, where=True, casting=’same_kind’, order=’K’, dtype=None, subok=True[, signature, extobj], ufunc ‘add’) Parameters : arr1 : [array_like or scalar] Input array. arr2 : [array_like or scalar] Input array. 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 sum of arr1 and arr2, element-wise. Returns a scalar if both arr1 and arr2 are scalars.

Code #1 : Working

Python

# Python program explaining
# numpy.add() function
# when inputs are scalar

import numpy as geek
in_num1 = 10
in_num2 = 15

print ("1st Input  number : ", in_num1)
print ("2nd Input  number : ", in_num2)

out_num = geek.add(in_num1, in_num2)
print ("output number after addition  : ", out_num)

Output : 

1st Input  number :  10
2nd Input  number :  15
output number after addition  :  25

Code #2 : 

Python

# Python program explaining
# numpy.add() function
# when inputs are array

import numpy as geek

in_arr1 = geek.array([[2, -7, 5], [-6, 2, 0]])
in_arr2 = geek.array([[5, 8, -5], [3, 6, 9]])

print ("1st Input array : ", in_arr1)
print ("2nd Input array : ", in_arr2)

out_arr = geek.add(in_arr1, in_arr2)
print ("output added array : ", out_arr)

Output : 

1st Input array :  [[ 2 -7  5]
 [-6  2  0]]
2nd Input array :  [[ 5  8 -5]
 [ 3  6  9]]
output added array :  [[ 7  1  0]
 [-3  8  9]]

In-place addition:

You can also use the += operator to perform in-place addition of two arrays or a scalar and an array. This modifies the first array instead of creating a new one. 

#code 3

The numpy.add() function is a part of the NumPy library in Python, and can be used to add two arrays element-wise. Here’s an example

Python3

import numpy as geek

# Define two arrays
a = geek.array([1, 2, 3])
b = geek.array([4, 5, 6])

# Add the arrays element-wise
c = geek.add(a, b)

# Print the result
print(c)

The time complexity of numpy.add() depends on the size of the arrays being added. If the arrays have n elements, the time complexity of the add() function is O(n), since it needs to iterate through each element in both arrays.

The space complexity of numpy.add() is O(n), as it creates a new array to store the result of the addition.