Merge overlapping intervals per group in pandas

Q: How do I practice SQL interview questions?

PracHub provides an interactive SQL console where you can write and test queries against real database schemas. Get instant feedback and compare your solution with the expected output.

Q: What difficulty level is this coding question?

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

Q: What role is this question designed for?

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

Question

Merge overlapping intervals per group in pandas

PracHub · Accepted Answer

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.

Quick Overview

Merge overlapping intervals per group in pandas