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Cross-section and time series data analysis toolkit

Project description

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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