What is the difference between axis=0 and axis=1 in Pandas internal execution?

axis=0 operates column-wise, axis=1 operates row-wise.

Internally, axis=0 means operations are applied down columns (vertical aggregation), leveraging contiguous memory blocks. axis=1 processes row-wise operations, which are less cache-efficient because data is not stored row-contiguously, leading to slower execution.