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NumPy | shape property

schedule Aug 11, 2023
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Numpy's `shape` property returns the number of elements along each axis of the array as a `tuple`.

Examples

One-dimensional arrays

``` x = np.array([1,2,3]) print(x.shape) (3,) ```

The `,` followed by nothing simply means that the array is a vector with 3 elements.

Two-dimensional arrays

``` x = np.array([[1,2,3],[4,5,6]]) print(x.shape) (2, 3) ```

This tells us that `x` has 2 rows and 3 columns.

Accessing values inside a tuple

Note that since the return type is just a tuple, you can access the actual numbers using `[]` syntax, like so:

``` x = np.array([1,2,3]) print(x.shape[0]) 3 ```
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