# How to trim an array with Numpy clip?

Let’s learn how to trim an array with Numpy clip function.

Suppose we have an array:

```[0.006, 2, 5, 8, 10, 25, 400]
```

## Clipping an array

We would like to exclude extremum values. Numpy clip function allows us to exclude very low and high values.

Say, I don’t need values below 2 and above 25. Numpy clip function will change them to 2 and 25 instead.

```import numpy as np

my_array = np.array([0, 2, 5, 8, 10, 25, 40])
trim_array = np.clip(my_array, 2, 25)

print(f"Trimmed array 2 - 25: \n {trim_array}")

```

As you may noticed the syntax of clip function is as follows: clip(my_array, min_value, max_value).

## Using parameters

It’s not necessary to specify both minimum and maximum values for clipping. You can use the None parameter to leave one of these bounds unchanged.

```import numpy as np

my_array = np.array([0, 2, 5, 8, 10, 25, 40])
trim_array = np.clip(my_array, None, 25)

print(f"My array: \n {my_array}")
print(f"Trimmed array < 25: \n {trim_array}")
```

The output would be:

```My array:
[ 0  2  5  8 10 25 40]
Trimmed array < 25:
[ 0  2  5  8 10 25 25]
```

You can also use predefined constants as parameters for the clip function to specify the clipping bounds.

```import numpy as np

min_value = 1

my_array = np.array([0, 2, 5, 8, 10, 25, 40])
trim_array = np.clip(my_array, min_value, None)

print(f"My array: \n {my_array}")
print(f"Trimmed array > min_value: \n {trim_array}")
```

Here's an output where values are trimmed between min_value and max value is not defined.

```My array:
[ 0  2  5  8 10 25 40]
Trimmed array > min_value:
[ 1  2  5  8 10 25 40]
```

As you can notice the values are trimmed. 0 is replaced by 1 and 40 is still present.