What does broadcasting mean with respect to numpy?

What does broadcasting mean with respect to numpy?

What does broadcasting mean with respect to numpy?

This recipe explains what does broadcasting mean with respect to numpy


Recipe Objective

Broadcasting refers to how numpy treats arrays having different size while working with operators. The smaller array is generally broadcasted across the larger array.

So this recipe is a short example on what does broadcasting mean with respect to numpy. Let's get started.

Step 1 - Import the library

import numpy as np

Let's pause and look at these imports. Pandas is generally used for performing mathematical operation and preferably over arrays.

Step 2 - Setup the Data

x=np.array([[1,2,3],[4,5,6]]) y=np.array([1,2,3])

Let us create a two simple simple arrays of size 2x3 and 1x3.

Step 3 - Performing Operation


X and y are of different size. Performing any mathematical operation over them is considered as broadcasting. Here, the values of y get added to value of x depending upon its position.

Step 4 - Printing results


Simply use print function to print z

Step 5 ' Let's look at our dataset now

Once we run the above code snippet, we will see:

[[2 4 6]
 [5 7 9]]

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