Cross-section and time series data analysis toolkit

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License: BSD

Author: AQR Capital Management, LLC

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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

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View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

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License: BSD

Author: AQR Capital Management, LLC

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Avatar for datapythonista from gravatar.com datapythonista Avatar for jbrockmendel from gravatar.com jbrockmendel Avatar for jorisvandenbossche from gravatar.com jorisvandenbossche Avatar for jreback from gravatar.com jreback Avatar for jreback1 from gravatar.com jreback1 Avatar for lithomas1 from gravatar.com lithomas1 Avatar for MarcoGorelli from gravatar.com MarcoGorelli Avatar for simonjayhawkins from gravatar.com simonjayhawkins Avatar for tomaugspurger from gravatar.com tomaugspurger Avatar for wesm from gravatar.com wesm Avatar for willayd from gravatar.com willayd

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Release history Release notifications | RSS feed

1.5.2

1.5.1

1.5.0

1.5.0rc0 pre-release

1.4.4

1.4.3

1.4.2

1.4.1

1.4.0

1.4.0rc0 pre-release

1.3.5

1.3.4

1.3.3

1.3.2

1.3.1

1.3.0

1.2.5

1.2.4

1.2.3

1.2.2

1.2.1

1.2.0

1.1.5

1.1.4

1.1.3

1.1.2

1.1.1

1.1.0

1.0.5

1.0.4

1.0.3

1.0.2

1.0.1

1.0.0

0.25.3

0.25.2

0.25.1

0.25.0

0.24.2

0.24.1

0.24.0

0.23.4

0.23.3

0.23.2

0.23.1

0.23.0

0.22.0

0.21.1

0.21.0

0.20.3

0.20.2

0.20.1

0.20.0

0.19.2

0.19.1

0.19.0

0.18.1

0.18.0

0.17.1

0.17.0

0.16.2

0.16.1

0.16.0

0.15.2

0.15.1

0.15.0

0.14.1

0.14.0

0.13.1

0.13.0

0.12.0

0.11.0

0.10.1

0.10.0

0.9.1

0.9.0

0.8.1

0.8.0

0.7.3

0.7.2

0.7.1

0.7.0

0.6.1

0.6.0

0.5.0

0.4.3

0.4.2

0.4.1

0.4.0

0.3.0

This version

0.2

0.1

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