How does Pandas optimize DataFrame memory layout using columnar storage?

Pandas stores data column-wise using separate NumPy arrays for each column.

Unlike row-based storage systems, Pandas uses columnar storage where each column is an independent contiguous NumPy array. This improves performance for analytical workloads that operate on columns but can reduce efficiency for row-wise operations due to poor cache locality.