Towards AI Can Help your Team Adopt AI: Corporate Training, Consulting, and Talent Solutions.

Publication

How to Create and Use Multi-Index DataFrame to Scale Up Your Data Analysis
Latest   Machine Learning

How to Create and Use Multi-Index DataFrame to Scale Up Your Data Analysis

Last Updated on July 26, 2023 by Editorial Team

Author(s): Rashida Nasrin Sucky

Originally published on Towards AI.

Details of Multi-Index DataFrame: Create, Slice and Index, and Analyze


Photo by Pacto Visual on Unsplash

This member-only story is on us. Upgrade to access all of Medium.

In most of the DataFrames, we see one index that works as a row identifier. But what if there is more than one index in a DataFrame. Is multi-index DataFrames a good thing for data analysis or confusing? Actually, it can be a very good data analysis, if you know how to use them. It gives you easy access to analyze the data even more efficiently.

To really improve and upscale your data analysis skill, it is important to learn about multi-index DataFrame well. In… 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 ↓