Cross-section and time series data analysis toolkit

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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

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2.3.3

2.3.2

2.3.1

2.3.0

2.2.3

2.2.2

2.2.1

2.2.0

2.2.0rc0 pre-release

2.1.4

2.1.3

2.1.2

2.1.1

2.1.0

2.1.0rc0 pre-release

2.0.3

2.0.2

2.0.1

2.0.0

2.0.0rc1 pre-release

2.0.0rc0 pre-release

1.5.3

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

0.2

This version

0.1

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