Untold Secret of Python Clamp Function

So, How are you, geeks? Hope all are doing well! So, today in this article we will try to get a hands-on python clamp function. It is not definitely the clamp we are using to hold things but it is very different from it. So, let’s take a look at it in both theoretical and practical aspects. Let’s get started.

What Exactly is Python Clamp Function?

The clamp function is used to limit the value in a given range. What does that mean? Let’s understand this first.

Suppose, you have given a range of numbers between 50 to 100, and you are looking for the number 75. So the clamp function limits its value to 75. In this case, 75 lies between 50 and 100 hence it is easy to compute.

However, what happens if you go for 25, it is not within the range. In this case, it limits it to 50 as it is not in between the range but closest to the lower limit. In the same way, if you go for some no. greater than 100 like 122 it will return 100 as 122 is close to the upper limit i.e. 100.

The Python clamp functionality is not inbuilt in python but you can define it using the following code:

def clamp(num, min_value, max_value):
        num = max(min(num, max_value), min_value)
        return num
print(clamp(10,20,30))
print(clamp(25,20,30))
print(clamp(115,20,30))

Output:

20
25
30

Pytorch Clamp()

However, this function is not widely used in core python but it is widely used in several python libraries like Pytorch, Wand ImageMagick library. Moreover, this function is already inbuilt in these libraries. You just need to import it and use it accordingly. Now let’s move ahead and see examples over them.

import torch

a = torch.FloatTensor([3,6,9,12,15,18,21])
print(a)

out = torch.clamp(a,min=5,max=20)
print(out)

Output:

tensor([ 3.,  6.,  9., 12., 15., 18., 21.])
tensor([ 5.,  6.,  9., 12., 15., 18., 20.])

In the above case, we applied the clamp() method on the list of tensors which returns another tensor with required changes.

Wand Clamp()

As similar to the PyTorch library, the clamp function is also used in the Wand ImageMagick library. In this library, i is used to limit the color value between 0 to the quantum range.

numpy.clip() vs torch.clamp()

While we can limit values in a range by using torch.clamp() in PyTorch we can do the same in NumPy using numpy.clip() method.

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FAQs Related to Python Clamp Function

Final Words on Python Clamp Function

So, today we discussed clamp function and its usage. We have also discussed the clamp() function in PyTorch and Wand ImageMagick libraries. We have gone through their examples in order to understand them more clearly.

I hope this article helped you. Thank You