#0076

Mask Values Above a Threshold

EasyNumPy12 min10 XP

Problem

Given a NumPy array and threshold, return a copy where values greater than threshold are replaced by threshold.

Why This Matters

Boolean masks are central to cleaning arrays, clipping outliers, and selecting rows for ML preprocessing.

Function Signature

def cap_values(values, threshold):

Examples

Example 1

Input[1, 10, 3], threshold = 5

Output[1, 5, 3]

Only 10 is above the threshold.

Constraints

Do not mutate the input array.
Preserve shape.
Return a NumPy array.

CodePython

import numpy as np

def cap_values(values, threshold):
    """
    Input example: [1, 10, 3], threshold = 5
    Return: [1, 5, 3]
    Return the value from the function so the tests can compare it. Do not print unless the prompt asks.
    """
    # write your code here
    return values

import numpy as np

def cap_values(values, threshold):
    """
    Input example: [1, 10, 3], threshold = 5
    Return: [1, 5, 3]
    Return the value from the function so the tests can compare it. Do not print unless the prompt asks.
    """
    # write your code here
    return values

Visible browser tests run here when available.

Testcases1 visible / 3 hidden categories

Cap one value

Inputnp.array([1,10,3]), 5

Expectednp.array([1,5,3])

Only values above threshold are replaced.

Hidden Test Categories

2D arrayno values above thresholdall values above threshold