numpy.dot() in Python | Numpy Dot Product Function & Example

Details

What is numpy dot product?

Numpy.dot product is a powerful library for matrix computation. For instance, you can compute the dot product with np.dot. Numpy.dot product is the dot product of a and b. numpy.dot() in Python handles the 2D arrays and perform matrix multiplications.

Syntax

numpy.dot(x, y, out=None)

Parameters

Here,

x,y: Input arrays. x and y both should be 1-D or 2-D for the np.dot() function to work

out: This is the output argument for 1-D array scalar to be returned. Otherwise ndarray should be returned.

Returns

The function numpy.dot() in Python returns a Dot product of two arrays x and y. The dot() function returns a scalar if both x and y are 1-D; otherwise, it returns an array. If 'out' is given then it is returned.

Raises

Dot product in Python raises a ValueError exception if the last dimension of x does not have the same size as the second last dimension of y.

Example:

## Linear algebra
### Dot product: product of two arrays
f = np.array([1,2])
g = np.array([4,5])
### 1*4+2*5
np.dot(f, g)

Output 

14

 

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