![]() To override/implement the behavior of the operator for a custom class, implement the _matmul_ method to the class. To recap, as of Python 3.5 it has been possible to multiply matrices using the operator.įor instance, a NumPy array supports matrix multiplication with the operator. Today you learned what is the in NumPy and Python. This concludes our example in matrix multiplication and operator in Python and NumPy. In other words, somewhere in the implementation of the NumPy array, there is a method called _matmul_ that implements matrix multiplication.įor example, let’s matrix-multiply two NumPy arrays: import numpy as np In data science, NumPy arrays are commonly used to represent matrices.īecause matrix multiplication is such a common operation to do, a NumPy array supports it by default. Now you understand how matrix multiplication works, and how to override the operator in your custom class.įinally, let’s take a look at multiplying matrices with NumPy using the operator. The idea is that when you call two custom objects, the _matmul_ method gets triggered to calculate the result of matrix multiplication.įor instance, let’s create a custom class Matrix, and override the matrix multiplication method to it: class Matrix(list):Īs you can see, now it is possible to call two matrix objects to multiply them.Īnd by the way, you could also directly call the _matmul_ method instead of using the shorthand. This happens by overriding the special method called _matmul_. The Operator in PythonĪs of Python 3.5, it has been possible to specify a matrix multiplication operator to a custom class. This is where the operator comes to the rescue. Thus, it would be a waste of time to implement this logic in each project where you need matrix multiplication. # The size of the result is 3 x 4 (N x P).Īs you might already know, matrix multiplication is quite a common operation performed on matrices. In this example, we multiply a 3 x 3 matrix by a 3 x 4 matrix to get a 3 x 4 result matrix. Let’s implement this logic in our Python program where a nested list represents a matrix. Specify a result matrix C of the appropriate size. ![]() Here is the pseudocode algorithm for matrix multiplication for matrices A and B of size N x M and M x P. To write a Python program that multiplies matrices, you need to implement a matrix multiplication algorithm. To keep it short, let’s move on to matrix multiplication in Python. Here are all the calculations made to obtain the result matrix:įor a comprehensive explanation, feel free to check a more thorough guide on matrix multiplication here.
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