Moving Average for Time Stream | Dataford Interview Questions

Implement a function to calculate the moving average of a time-series stream without using high-level libraries. Define moving_average(values, window_size), where values is a list of numbers and window_size is a positive integer. Return a list whose element at index i is the average of the most recent window_size values, or all available values when fewer than window_size have arrived. Return an empty list for an empty input.

Constraints

0 <= len(values) <= 1000
1 <= window_size <= 1000
-10^9 <= values[i] <= 10^9
Return averages as floating-point values
Do not use high-level numerical or statistics libraries

Function Signature

def moving_average(values, window_size):

Your question is Moving Average for Time Stream. Start with the requirements in the Question tab.

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Problem

Constraints

0 <= len(values) <= 1000
1 <= window_size <= 1000
-10^9 <= values[i] <= 10^9
Return averages as floating-point values
Do not use high-level numerical or statistics libraries

Function Signature

def moving_average(values, window_size):

Your question is Moving Average for Time Stream. 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.