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Clamping means restricting a value within a specific range so it never goes below a minimum or above a maximum. Python doesn’t have a built-in math.clamp function, but you can easily implement it using built-ins or libraries.
Example:
def clamp(value, min_value, max_value):return max(min(value, max_value), min_value)print(clamp(5, 1, 10)) # 5 (within range)print(clamp(-3, 0, 8)) # 0 (below min)print(clamp(15, 0, 8)) # 8 (above max)Copied!âś•CopyThis uses min() to cap the value at max_value and max() to raise it to min_value if needed.
Using Conditional Statements A more explicit approach is with if-elif-else:
def clamp(value, min_value, max_value):if value < min_value:return min_valueelif value > max_value:return max_valueelse:return valueprint(clamp(25, 10, 20)) # 20Copied!âś•CopyThis is useful if you want to add extra logic during clamping.
Using NumPy for Arrays If working with large datasets or arrays, NumPy’s clip() is efficient:
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Jul 23, 2025 · Now let's implement a clamp (n, min, max) method which takes three parameters where n is the number we would like to clip and the range to be used …
python - How can I clamp (clip, restrict) a number to some range ...
There is a slight overhead on functions' call. I haven't done the benchmarks, but it's quite possible that mm_clip and py_clip will be equally fast if you use JIT compiler, like PyPy.
Usage examplenew_index = max(0, min(new_index, len(mylist)-1))Top 8 Ways to Clamp a Value Within a Specified Range in Python
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Jan 26, 2025 · Clamping in Python is about taking a value and ensuring it lies within a given range. For example, if we have a range from min_value to max_value, any value outside this range will be …
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