How do I approach Data Manipulation (SQL/Python) interview questions?

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 easy difficulty Data Manipulation (SQL/Python) question, commonly asked during Onsite rounds at Waymo.

What role is this question designed for?

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

Merge overlapping intervals per group in pandas

Last updated: Mar 29, 2026

Quick Overview

This question evaluates proficiency in time-series data manipulation and interval reasoning using pandas, including grouping, datetime handling, and interval unioning across partitions; it is commonly asked because merging temporal intervals tests practical data-cleaning abilities and handling of edge cases like overlaps, adjacency, sorting, and timezone-aware timestamps. It belongs to the Data Manipulation (SQL/Python) domain and represents a practical application that requires applied conceptual understanding of interval algebra and grouping operations rather than purely theoretical reasoning, assessing implementation-level skills in producing non-overlapping, sorted intervals per group.