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# NumPy | ravel method

schedule Aug 12, 2023
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Numpy's `ravel(~)` method flattens the input array and returns its view. This means that modifying the returned flat array would also modify the original input array.

If you want to obtain a flattened array that is a separate copy of the input array, then use `flatten(~)` instead.

# Parameters

1. `a` | `array-like`

The input array.

Note that the `order` parameter is omitted here since it is rarely used.

# Return value

A 1D Numpy array with the same type as `a`.

# Examples

Consider the following 2D array:

``` a = np.array([[3,4],[5,6]])a array([[3, 4], [5, 6]]) ```

To flatten this array:

``` flat_a = a.ravel()flat_a array([3, 4, 5, 6]) ```

Since a view of the input array is returned, modifying `flat_a` would result in `a` getting modified:

``` flat_a[0]=9a array([[9, 4], [5, 6]]) ```
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