# The `numpy.clip()` method
The **`numpy.clip()` function** is used to clip a limit value in an input array. 
The input array can be 1-dimensional, 2-dimensional, etc.

In this article, we'll focus on using the `numpy.clip()` method for a 2-dimensional array.

> **Note:** A list of lists can be used to create a two-dimensional (2-D) array in Python.

## Syntax
```
numpy.clip(a, a_min, a_max, out=None)
```
## Parameters
- `a`: This is the input (2-D) array of values.
- `a_min`: (optional) Indicates the minimum values to clip the array.
- `a_max`: (optional) Indicates the maximum values to clip the array.
- `out`: (optional) Specify the location where the result is stored.

## Return value

The `numpy.clip()` method returns an array containing elements of `a`. However, values less than the specified `a_min` are replaced with `a_min`, and values greater than the specified `a_max` are replaced with `a_max`.



## Example

The following code shows how to use the `numpy.clip()` method for two-dimensional (2-D) arrays in Python.


# import numpy
import numpy as np
# create 2D array using np.array
a = np.array([[7,3,4,8], [2,6,9,5]])
# Create a min value
a_min = 3
# Create a max value
a_max = 8

# np.clip() 
result = np.clip(a, a_min, a_max)

print(result)

## Explanation

- **Line 2:** We import the `numpy` library. 
- **Lines 4:** We create a 2D array called `a`.  
- **Line 6:** We create a min value and stored it in the variable `a_min`.
- **Line 8:** We create a max value and stored it in the variable `a_max`.
- **Line 11:** We use the `np.clip()` method to limit the input array `a` to a minimum of `3` and a maximum of `8`.
- **Line 13:** The result is displayed.

> **Note:** Any value of array `a` smaller than the `a_min` is replaced by the `a_min` value and any value of array `a` greater than the `a_max` is replaced by the `a_max` value.

What is the clip() function for a 2-D array in Python?

The `numpy.clip()` function limits values of a 2-D array to specified minimum and maximum bounds.

What is the clip() function for a 2-D array in Python?

The numpy.clip() method

Syntax

Parameters

Return value

Example

Explanation

The `numpy.clip()` method