What is the difference between shallow copy and deep copy in Pandas?

Shallow copy shares underlying data; deep copy creates an independent DataFrame.

In Pandas, shallow copy may still reference the same underlying memory blocks, meaning changes can propagate unexpectedly. Deep copy duplicates both structure and data, ensuring full independence. This is crucial when performing transformations without side effects.