Coding Ref

In Python, `numpy.ndarray.flatten()`

is a method that is used to flatten a multi-dimensional NumPy array into a one-dimensional array.

This method is often used to prepare data for machine learning algorithms or to make it easier to manipulate the data in a multi-dimensional array.

Here is the syntax for `numpy.ndarray.flatten()`

:

main.py

```
numpy.ndarray.flatten(order='C')
```

This method takes the following argument:

`order`

(optional): The order in which the elements of the array are flattened. The default is`'C'`

, which means that the elements will be flattened in row-major order (i.e., the last index will vary the fastest). You can also specify`'F'`

to flatten the array in column-major order (i.e., the first index will vary the fastest).

Here is an example of how you might use `numpy.ndarray.flatten()`

to flatten a multi-dimensional array. Suppose you have the following array:

main.py

```
import numpy as np
a = np.array([[1, 2, 3], [4, 5, 6]])
```

You can use `numpy.ndarray.flatten()`

to flatten this array into a one-dimensional array, like this:

main.py

```
a_flat = a.flatten()
```

This will result in the following array:

output

```
array([1, 2, 3, 4, 5, 6])
```

You can also specify the order argument to `numpy.ndarray.flatten()`

to control the order in which the elements are flattened.

For example, you can flatten the array in column-major order like this:

main.py

```
a_flat = a.flatten(order='F')
```

This will result in the following array:

output

```
array([1, 4, 2, 5, 3, 6])
```

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