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 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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|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
|pandas-0.3.0.tar.gz (223.1 kB) Copy SHA256 hash SHA256||Source||None||Feb 20, 2011|
|pandas-0.3.0.win32-py2.5.exe (316.2 kB) Copy SHA256 hash SHA256||Windows Installer||2.5||Feb 20, 2011|
|pandas-0.3.0.win32-py2.6.exe (452.9 kB) Copy SHA256 hash SHA256||Windows Installer||2.6||Feb 20, 2011|
|pandas-0.3.0.win32-py2.7.exe (453.2 kB) Copy SHA256 hash SHA256||Windows Installer||2.7||Feb 20, 2011|
|pandas-0.3.0.win-amd64-py2.6.exe (546.4 kB) Copy SHA256 hash SHA256||Windows Installer||2.6||Feb 20, 2011|
|pandas-0.3.0.win-amd64-py2.7.exe (546.5 kB) Copy SHA256 hash SHA256||Windows Installer||2.7||Feb 20, 2011|