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# NumPy | flip Method

schedule Aug 10, 2023
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Numpy's `flip(~)` method reverses the ordering of the elements along the given axis. Note that this method does not flip bits (i.e. turns 0s into 1s, and 1s into 0s).

# Parameters

1. `a` | `array-like`

The array on which to perform the method.

2. `axis` | `int` or `tuple<int>` | `optional`

The axis along which to perform the flip. By default, `axis=None`.

# Return value

A Numpy array with the specified axis reversed.

# Examples

## Flipping a flattened array

To reverse a flattened array:

``` np.flip([1,2,3]) array([3, 2, 1]) ```

## Flipping a 2D array

To flip a 2D array:

``` np.flip([[1,2,3], [4,5,6], [7,8,9]]) array([[9, 8, 7], [6, 5, 4], [3, 2, 1]]) ```

Notice how the last value, `9`, in the original array became the first element in the flipped array, the second-to-last value, `8`, became the second element, and so on.

## Flipping a 2D array column-wise

Simply provide the argument `axis=0`, like follows:

``` np.flip([[1,2,3], [4,5,6], [7,8,9]], axis=0) array([[7, 8, 9], [4, 5, 6], [1, 2, 3]]) ```

## Flipping a 2D array row-wise

Simply provide the argument `axis=1`, like follows:

``` np.flip([[1,2,3], [4,5,6], [7,8,9]], axis=1) array([[3, 2, 1], [6, 5, 4], [9, 8, 7]]) ```
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