Detect Anomalous Sensor Spikes | Dataford Interview Questions

Given a stream of sensor data from a solar field, write a function to detect and filter out anomalous temperature spikes within a sliding window.

Use the previous retained readings as the window. A reading is anomalous when its absolute difference from the window average is greater than threshold; retain all initial readings until the window is full. Return the retained readings in order.

Function: def filter_temperature_spikes(temperatures, window_size, threshold): Input is a list of numbers, a positive window size, and a non-negative numeric threshold. Output is a list of retained numbers.

Constraints

0 <= len(temperatures) <= 100000
1 <= window_size <= 100000
0 <= threshold
Temperatures are finite integers or floating-point numbers

Function Signature

def filter_temperature_spikes(temperatures, window_size, threshold):

Your question is Detect Anomalous Sensor Spikes. 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

Given a stream of sensor data from a solar field, write a function to detect and filter out anomalous temperature spikes within a sliding window.

Constraints

0 <= len(temperatures) <= 100000
1 <= window_size <= 100000
0 <= threshold
Temperatures are finite integers or floating-point numbers

Function Signature

def filter_temperature_spikes(temperatures, window_size, threshold):

Your question is Detect Anomalous Sensor Spikes. 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.