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# NumPy | expand_dims method

schedule Aug 12, 2023
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Numpy's `expand_dims(~)` method returns a new Numpy array with dimensions of the input array expanded.

# Parameters

1. `a` | `array-like`

The input array.

2. `axis` | `int`

The axis where the new dimension will be added.

# Return value

A new Numpy array with dimensions of the input array expanded.

# Examples

Suppose we have the following 1D array:

``` a = np.array([1,2,3,4])a array([1, 2, 3, 4]) ```

We can expand this to 2D in two ways: add a new dimension along the 0th axis or the 1st axis.

For the 0th axis:

``` np.expand_dims(a, axis=0) array([[1, 2, 3, 4]]) ```

For the 1st axis:

``` np.expand_dims(a, axis=1) array([[1], [2], [3], [4]]) ```
Published by Isshin Inada
Edited by 0 others
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