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# NumPy | dstack method

schedule Aug 12, 2023
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Numpy's `dstack(~)` method is used to concatenate arrays along the third axis. Check the examples below for clarification.

# Parameters

1. `tup` | `array-like`

The arrays that will concatenated along the third axis.

# Return values

A Numpy array with the provided arrays concatenated along the third axis.

# Examples

## Concatenating 1D arrays

``` x = np.array([1,2,3]) y = np.array([4,5,6]) z = np.dstack([x,y])z array([[[1, 4], [2, 5], [3, 6]]]) ```

Note that you aren't limited to concatenating just two arrays at once - you can pass in as many as you wish. Also, the returned Numpy array here is three-dimensional.

## Concatenating 2D arrays

``` x = np.array([[1,2],[3,4]]) y = np.array([[5,6],[7,8]]) z = np.dstack([x,y])z array([[[1, 5], [2, 6]], [[3, 7], [4, 8]]]) ```

Just to make it easier to process this, here's `x` and `y` pretty-formatted:

``` x = [[1, 2], y = [[5, 6] [3, 4]] [7, 8]] ```
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