Sampling Inside a Bounding Box | Dataford Interview Questions

How to sample from within a bounding box using numpy?

Implement sample_bounding_box(bounds, n, seed) to return n deterministic random 2D points uniformly distributed inside the box. The input bounds is [xmin, ymin, xmax, ymax], and the output is a list of [x, y] points. Use an isolated seeded random generator so repeated calls with the same inputs produce the same result.

Constraints

0 <= n <= 10^5
bounds contains exactly four numbers in the order [xmin, ymin, xmax, ymax]
xmin <= xmax and ymin <= ymax
seed is an integer

Function Signature

def sample_bounding_box(bounds, n, seed):

Your question is Sampling Inside a Bounding Box. Start with the requirements in the Question tab.

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Problem

How to sample from within a bounding box using numpy?

Constraints

0 <= n <= 10^5
bounds contains exactly four numbers in the order [xmin, ymin, xmax, ymax]
xmin <= xmax and ymin <= ymax
seed is an integer

Function Signature

def sample_bounding_box(bounds, n, seed):

Your question is Sampling Inside a Bounding Box. Start with the requirements in the Question tab.

Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.