Operands could not be broadcast together with shapes np where

1. Where operands could not be broadcast together with shapes?
2. How does broadcasting work in NumPy?
3. Is broadcasting possible between two arrays whose shapes are different?

Where operands could not be broadcast together with shapes?

How to Fix: ValueError: operands could not be broadcast together with shapes. This error occurs when you attempt to perform matrix multiplication using a multiplication sign (*) in Python instead of the numpy. dot() function.

How does broadcasting work in NumPy?

The term broadcasting describes how NumPy treats arrays with different shapes during arithmetic operations. Subject to certain constraints, the smaller array is “broadcast” across the larger array so that they have compatible shapes.

Is broadcasting possible between two arrays whose shapes are different?

Broadcasting allows for some flexibility on this condition so arithmetic operations can be done on arrays with different shapes. There are still some rules that must be satisfied. We cannot just broadcast any arrays. In the following examples, we will explore these rules and how broadcasting occurs.