What does broadcasting mean with respect to numpy?
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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

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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

z=x+y

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

print(z)

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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