#    
## Overview
The **`shape` attribute** in `numpy` is used to return a tuple with the index numbers representing the dimension or shape of the given array. 

## Syntax
```
array.shape
```
## Parameter
`array.shape` is an attribute and therefore takes no parameter value.

## Return value
`array.shape` returns the shape `[dimension of the 2D array (row, column)]` of a given array.
## Example


from numpy import array

# creating an array
my_array = array([[1, 2, 3, 4], [5, 6, 7, 8]])

# to return the shape of the array
print(my_array.shape)

## Explanation
* Line 1: We import the `array` from the `numpy` library.
* Line 4: We create an array using the `array()` method.
* Line 7: We implement the `shape` attribute to determine the shape of the array `my_array` and print the output.

The output of the code is `(2,4)`, which means that the array `my_array` we created is a two-dimensional array. The first has  2 elements while the second has 4 elements.

Let's try out another example:
## Example
 

from numpy import array

my_array = array([1, 2, 3, 4])

print(my_array.shape)

## Code explanation 
The output of the code above `(4,)`  means that the array `my_array` is a one-dimensional array with 4 elements.

What is the shape attribute of numpy in Python?

array.shape returns a tuple indicating the dimensions of an array, e.g., (2, 4) or (4,).