What is the difference between copy, view, and reference in Pandas internals?

Copy duplicates data, view shares memory, and reference points to the same object.

A copy creates independent memory. A view shares underlying data buffers, meaning changes may reflect in the original DataFrame. A reference is simply another variable pointing to the same object. Pandas often mixes view/copy behavior depending on operation complexity.