Data Science and Machine Learning (Theory and Projects) A to Z - Pandas for Data Manipulation and Understanding: Hierarc

The video tutorial explains the powerful group by function in pandas, focusing on hierarchical indexing. It demonstrates how to create a hierarchical data frame using multi-indexing, display data in a hierarchical format, and apply group by on different levels. Advanced techniques for grouping by column names and levels are also covered, providing a comprehensive understanding of hierarchical data manipulation in pandas.

What is the significance of using multi-indexing in pandas?

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Discuss how energy consumption data can be aggregated using the group by function.

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How can you specify levels in the group by function using column names?

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