After just starting a job as a data scientist, I learned that multi-indexing is a great conceptual tool for breaking down a data frame into several variables.However, everyone I've spoken to, both coworkers at my new company and university friends that were hired elsewhere, has said it never gets used in practice because there are better, more-readable ways of doing anything that multi-indexing can do.Are there any cases useful in production where multi-indexing is a superior way of accomplishing a task than just slicing a data frame several times?
Does multiple-indexing have any actual use in production code?
pandas;indexing;data indexing techniques