How to reshape a Numpy array in Python?
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# How to reshape a Numpy array in Python?

This recipe helps you reshape a Numpy array in Python

0

## Recipe Objective

Have you ever tried to reshape a numpy array? Creating a new array to reshape it might be a hectic task. So how we can do it very easily in python.

So this is the recipe on how we can Reshape a Numpy Array.

## Step 1 - Import the library

``` import numpy as np ```

We have only imported numpy which is needed.

## Step 2 - Setting up the Vector and Matrix

We have created a 4 x 3 matrix using array and we will reshape it. ``` matrix = np.array([[11, 22, 33], [44, 55, 66], [77, 88, 99], [110, 121, 132]]) ```

## Step 3 - Reshaping a matrix

We can reshape the matrix by using reshape function. In the function we have to pass the shape of the final matrix we want. (If we want a matrix of n by m then we have to pass (n,m)). ``` print(matrix.reshape(2, 6)) print(matrix.reshape(3, 4)) print(matrix.reshape(6, 2)) ``` So the output comes as

```[[ 11  22  33  44  55  66]
[ 77  88  99 110 121 132]]

[[ 11  22  33  44]
[ 55  66  77  88]
[ 99 110 121 132]]

[[ 11  22]
[ 33  44]
[ 55  66]
[ 77  88]
[ 99 110]
[121 132]]
```

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