Columnar Data Structure Creation And Manipulation

Powerful data structures for data analysis, time series, and statistics

Unique: Uses a BlockManager architecture that consolidates homogeneous blocks of columns into single NumPy arrays, reducing memory fragmentation and enabling cache-efficient operations compared to row-oriented or fully-fragmented column stores

vs others: Faster than pure Python dict-of-lists for numerical operations due to NumPy vectorization; more flexible than NumPy arrays alone because it adds labeled axes and mixed-type support

via “columnar data storage and compression”