NumPy: Get help on the add function

NumPy: Basic Exercise-2 with Solution

Write a NumPy program to get help with the add function.

Sample Solution :

Python Code :

# Importing the NumPy library with an alias 'np'
import numpy as np

# Printing information about the np.add function using the np.info() method
print(np.info(np.add))

Sample Output:

add(x1, x2[, out])

Add arguments element-wise.

Parameters
----------
x1, x2 : array_like
    The arrays to be added.  If ``x1.shape != x2.shape``, they must be
    broadcastable to a common shape (which may be the shape of one or
    the other).

Returns
-------
add : ndarray or scalar
    The sum of `x1` and `x2`, element-wise.  Returns a scalar if
    both  `x1` and `x2` are scalars.

Notes
-----
Equivalent to `x1` + `x2` in terms of array broadcasting.

Examples
--------
>>> np.add(1.0, 4.0)
5.0
>>> x1 = np.arange(9.0).reshape((3, 3))
>>> x2 = np.arange(3.0)
>>> np.add(x1, x2)
array([[  0.,   2.,   4.],
       [  3.,   5.,   7.],
       [  6.,   8.,  10.]])
None

Explanation:

In the above code –

print(np.info(np.add)) prints information about the np.add function, which is a function in NumPy used for element-wise addition of two arrays. The np.info() function provides detailed information about a given NumPy function or class, including a description, input parameters, return values, and examples of usage.

Python-Numpy Code Editor:

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