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Data Manipulation (SQL/Python) questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master data manipulation (sql/python) interviews.

What difficulty level is this interview question?

This is a medium difficulty Data Manipulation (SQL/Python) question, commonly asked during Technical Screen rounds at WeRide.

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This question is commonly asked for Data Scientist candidates at WeRide during technical interviews.

Compute centered averages and merge intervals | WeRide Interview Question

Compute centered averages and merge intervals

Last updated: Apr 2, 2026

Quick Overview

This question evaluates proficiency in Python pandas data manipulation and algorithmic reasoning focused on centered sliding-window aggregation and merging overlapping intervals.

WeRide

Feb 4, 2025, 12:00 AM

Data Scientist

Technical Screen

Data Manipulation (SQL/Python)

1 solved

You are given two Python/pandas tasks.

Centered sliding window average: Given a pandas DataFrame df sorted in row order with columns row_id (int) and value (float), and an integer k >= 0 , create a new column window_avg . For each row i , compute the average of value from rows i-k through i+k , inclusive. If a row does not have at least k previous rows and k later rows, set window_avg = -1 for that row.
Merge intervals in pandas: Given a pandas DataFrame intervals with columns start (int) and end (int), where each row represents a time interval for an autonomous driving event and start <= end , merge all overlapping intervals and return a DataFrame of non-overlapping intervals sorted by start .

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