How does Pandas handle method chaining internally?

Method chaining passes intermediate DataFrames through successive transformations.

Each Pandas method returns a new DataFrame or view, enabling functional-style pipelines. Internally, each step may create intermediate objects unless optimized via copy-on-write or vectorization.