Master LLMs with our FREE course in collaboration with Activeloop & Intel Disruptor Initiative. Join now!

Publication

Understanding Data Selection in Pandas
Latest   Machine Learning

Understanding Data Selection in Pandas

Last Updated on July 25, 2023 by Editorial Team

Author(s): Gencay I.

Originally published on Towards AI.

Why would we use loc iloc or ix?


Created in Leonardoai

The Python programming language is an important asset in data science and analytics due to its user-friendly nature and robust libraries. Pandas, one of these libraries, provides flexible and powerful tools for data manipulation, thereby becoming a popular choice for data scientists worldwide.

In the process of data analysis, the ability to manage and manipulate data efficiently is key, and this is where pandas shine. Among the various tools pandas offer, three stand out for their versatility: loc, iloc, and ix.

These methods are crucial for data selection in pandas, providing users with remarkable flexibility in accessing and modifying data… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI

Feedback ↓