Data frame slicing and filtering

Authors

  • James Vanderhyde Saint Xavier University

Abstract

Students will use Python and the pandas library to read in a data set, access rows by index and by label, and filter rows using Boolean expressions. They will practice information processing of tabular data. This is a component of a beginning programming course in Python, but it could also be used in a data science course.

Level: Undergraduate

Environment: Classroom

Activity Type: Learning Cycle

Discipline: Computer Science or Data Science

Course: Introductory Python Programming

Keywords: Python, pandas library, Boolean expressions

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Published

2024-03-11

How to Cite

Vanderhyde, J. (2024). Data frame slicing and filtering. POGIL Activity Clearinghouse, 4(2). Retrieved from https://pac.pogil.org/index.php/pac/article/view/373

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