Bootstrap Sample

Problem

Draw a bootstrap sample (sampling with replacement) from data. Call random.seed(seed), then pick random.randrange(len(data)) for each of n draws.

n defaults to len(data) when it is None. Return the list of drawn elements in draw order (do not sort).

Hint

Seed the generator, then append data[random.randrange(len(data))] n times.

case 1

in: [[1,2,3,4,5],42,5]

expected: [1,1,3,2,2]

case 2

in: [["a","b","c"],7,4]

expected: ["b","a","b","c"]

case 3

in: [[[1,0],[0,1],[1,1]],1,3]

expected: [[1,0],[1,1],[1,0]]

case 4

in: [[10,20,30],0,6]

expected: [20,20,10,20,30,20]

Starter codePython

import random
def bootstrap_sample(data, seed, n=None):
    # Your code here
    pass

4 test cases · run your code against them in the editor