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 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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|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
|pandas-0.1.tar.gz (238.5 kB) Copy SHA256 hash SHA256||Source||None|
|pandas-0.1.win32-py2.5.exe (313.6 kB) Copy SHA256 hash SHA256||Windows Installer||2.5|