How does Pandas optimize memory using views vs copies?

Pandas tries to use views to save memory but often falls back to copies.

A view shares memory with the original array, while a copy duplicates data. Pandas cannot always guarantee views due to alignment and safety constraints, especially after filtering or indexing.