NumPy: Get help on the add function

NumPy: Basic Exercise-2 with Solution

Help for NumPy Add Function

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

This problem involves using NumPy's built-in documentation features to understand a specific function. The task is to write a program that imports the NumPy library and retrieves detailed information about the np.add function using the np.info() method. This exercise helps users learn how to access documentation directly within the coding environment, aiding in better understanding and usage of NumPy functions.

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))

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.

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