# python-scipyHow can I use the x.shape function in Python Numpy?

The `x.shape`

function is a part of the NumPy library in Python and is used to find the shape of an array. It returns a tuple of the form `(rows, columns)`

, where `rows`

is the number of rows and `columns`

is the number of columns in the array.

## Example

```
import numpy as np
x = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
x.shape
```

## Output example

`(3, 3)`

The code above imports NumPy as `np`

and creates an array `x`

with three rows and three columns. Then the `x.shape`

function is used to find the shape of the array `x`

, which is `(3, 3)`

.

## Code explanation

`import numpy as np`

: imports the NumPy library and assigns it to the alias`np`

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

: creates an array`x`

with three rows and three columns`x.shape`

: finds the shape of the array`x`

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