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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2.3.1

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

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1.0.1

1.0.0

0.25.3

0.25.2

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0.17.1

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0.16.2

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0.13.1

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0.9.1

0.9.0

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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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