Skip to main content

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

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

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page