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# Limiting array values to a certain range in NumPy

schedule Aug 11, 2023
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local_offer
PythonNumPy
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To limit array values to a certain range in NumPy use the `clip(~)` method. Using this method, values within the array that fall outside the specified range will be replaced with the provided minimum and maximum values.

NOTE

The resulting clipped array is returned and the original array remains unchanged.

# Examples

## Specifying both lower and upper bounds

To clip using a lower bound of `2` and upper bound of `4`:

``` x = np.array([1,2,3,4,5])np.clip(x, 2, 4) array([2, 2, 3, 4, 4]) ```

Notice how the value `1` was clipped up to `2`, while the value `5` is clipped down to `4`.

## Upper bound only

To clip using an upper bound of `4`:

``` x = np.array([1,2,3,4,5])np.clip(x, None, 4) array([1, 2, 3, 4, 4]) ```

Note that if you do not want to specify a lower bound `None` should be passed as the second parameter.

## Lower bound only

To clip using a lower bound of `2`:

``` x = np.array([1,2,3,4,5])np.clip(x, 2, None) array([2, 2, 3, 4, 5]) ```
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