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
Note
Windows binaries built against NumPy 1.3.0
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| Filename, size | File type | Python version | Upload date | Hashes |
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| Filename, size pandas-0.2.tar.gz (194.9 kB) | File type Source | Python version None | Upload date | Hashes View |
