Cross-section and time series data analysis toolkit
pandas provides NumPy-based data structures and statistical tools for common time series and cross-sectional data sets. It is intended to accomplish the following:
Simplify working with possibly labeled 1, 2, and 3 dimensional heterogeneous data sets commonly found in statistics, finance, and econometrics.
Provide tools for working with dates, fixed-frequency custom date ranges, and other necessary time series functionality
Provide IO utilities for getting data in and out of pandas
Implement common statistical and time series functionality with a convenient interface, handling missing data and other common problems associated with messy statistical data sets
Windows binaries built against NumPy 1.5.1
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