Rolling Average Python Function | Dataford Interview Questions

Write a Python function to efficiently compute the rolling average of a massive array of sensor data.

Implement def rolling_average(data, window_size):, returning a list of averages for every contiguous window of exactly window_size values. Use a sliding-window approach so each value is added and removed at most once. Assume data is non-empty and 1 <= window_size <= len(data); return floating-point averages.

Example: data = [2, 4, 6, 8], window_size = 2 returns [3.0, 5.0, 7.0]. Example: data = [5, 5, 5], window_size = 3 returns [5.0].

Constraints

1 <= len(data) <= 10^7
1 <= window_size <= len(data)
-10^6 <= data[i] <= 10^6
Return one floating-point average for each complete window

Function Signature

def rolling_average(data, window_size):

Your question is Rolling Average Python Function. 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.

Problem

Write a Python function to efficiently compute the rolling average of a massive array of sensor data.

Example: data = [2, 4, 6, 8], window_size = 2 returns [3.0, 5.0, 7.0]. Example: data = [5, 5, 5], window_size = 3 returns [5.0].

Constraints

1 <= len(data) <= 10^7
1 <= window_size <= len(data)
-10^6 <= data[i] <= 10^6
Return one floating-point average for each complete window

Function Signature

def rolling_average(data, window_size):

Your question is Rolling Average Python Function. 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.