Pandas

Key Features

A fast and efficient DataFrame object for data manipulation with integrated indexing. Tools for reading and writing data between in-memory data structures and different formats: CSV and text files, Microsoft Excel, SQL databases, and the fast HDF5 format. Intelligent data alignment and integrated handling of missing data: gain automatic label-based alignment in computations and easily manipulate messy data into an orderly form. Flexible reshaping and pivoting of data sets. Intelligent label-based slicing, fancy indexing, and subsetting of large data sets; Columns can be inserted and deleted from data structures for size mutability. Aggregating or transforming data with a powerful group by engine allowing split-apply-combine operations on data sets. High performance merging and joining of data sets. Hierarchical axis indexing provides an intuitive way of working with high-dimensional data in a lower-dimensional data structure. Time series-functionality: date range generation and frequency conversion, moving window statistics, moving window linear regressions, date shifting and lagging. Even create domain-specific time offsets and join time series without losing data. Highly optimized for performance, with critical code paths written in Python or C.