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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

Note

Windows binaries built against NumPy 1.4.0+

Project details


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Filename, size & hash SHA256 hash help File type Python version Upload date
pandas-0.3.0.beta.tar.gz (214.9 kB) Copy SHA256 hash SHA256 Source None Dec 24, 2010
pandas-0.3.0.beta.win32-py2.5.exe (313.6 kB) Copy SHA256 hash SHA256 Windows Installer 2.5 Dec 16, 2010
pandas-0.3.0.beta.win32-py2.6.exe (448.1 kB) Copy SHA256 hash SHA256 Windows Installer 2.6 Dec 19, 2010
pandas-0.3.0.beta.win32-py2.7.exe (448.2 kB) Copy SHA256 hash SHA256 Windows Installer 2.7 Dec 16, 2010
pandas-0.3.0.beta.win-amd64-py2.6.exe (538.2 kB) Copy SHA256 hash SHA256 Windows Installer 2.6 Dec 24, 2010

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