Pandas

Abstract

Pandas is a powerful data processing library that makes complicated data transformations almost automatic. This chapter develops the key data structures of Pandas, the Series and DataFrame, as well as how to use them effectively. Pandas categorical objects allow for efficient memory usage. Like Numpy, Pandas also supports broadcasting. Understanding the Pandas MultiIndex object helps slicing and aligning multidimensional data. Pandas provides an extension framework for customizing the visual display of DataFrames, which abbreviates codes by adding new code to the DataFrame itself. Python supports methods such as rolling and filling, which are very important longitudinal time-series analysis.