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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 IO utilities for getting data in and out of pandas
  • Implement common statistical models with a convenient interface, handling missing data and other common problems associated with messy statistical data sets


Windows binaries built against NumPy 1.3.0

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Files for pandas, version 0.1
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Filename, size pandas-0.1.tar.gz (238.5 kB) File type Source Python version None Upload date Hashes View
Filename, size pandas-0.1.win32-py2.5.exe (313.6 kB) File type Windows Installer Python version 2.5 Upload date Hashes View

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