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Bootstrap Sample

Generate a bootstrap sample (sampling with replacement) using a given list of random indices.

Given a dataset of $n$ items, a bootstrap sample draws $n$ items with replacement. To make this deterministic, you are given a list of indices to draw.

Return the selected items as a list.

Example:

Input:

data = ['a', 'b', 'c', 'd']
indices = [0, 2, 2, 1]

Output:

['a', 'c', 'c', 'b']

Reasoning:

The given dataset is data = ['a', 'b', 'c', 'd'] and the list of indices to draw is indices = [0, 2, 2, 1].
We use the indices to select items from the dataset with replacement, so the first index 0 corresponds to 'a', the second index 2 corresponds to 'c', the third index 2 again corresponds to 'c', and the fourth index 1 corresponds to 'b'.
The selected items are then combined into a list in the order they were drawn: ['a', 'c', 'c', 'b'].
The final output is this list of selected items.

Constraints:

data: list of items
indices: list of integer indices (0 to len(data)-1, may repeat)
Return the items at the given indices

Editor

Python 3.13.1

Test Results

0/0

Run code to see test results.