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 links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (3.0.5)

3 maintainers

PyPI data
Data sourced directly from PyPI's database.
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Credits

Author: AQR Capital Management, LLC

License

BSD

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Release history Release notifications | RSS feed

3.0.5

42 files

Yanked

3.0.4

42 files

Yanked reason: Reported segfaults with datetime-related functionality

3.0.3

48 files

3.0.2

48 files

3.0.1

48 files

3.0.0

48 files

Pre-release

3.0.0rc2

48 files

Pre-release

3.0.0rc1

48 files

Pre-release

3.0.0rc0

48 files

2.3.3

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2.3.2

42 files

2.3.1

42 files

2.3.0

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2.2.3

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2.2.2

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2.2.1

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2.2.0

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2.1.4

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2.1.3

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2.1.1

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2.1.0

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2.0.3

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2.0.1

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1.5.3

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1.5.2

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1.5.0

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1.4.4

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1.4.3

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1.4.0

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1.3.5

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1.2.0

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1.1.5

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1.1.2

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1.1.1

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1.1.0

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0.7.3

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0.6.1

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0.4.3

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0.4.2

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0.4.1

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0.3.0

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This release

0.2 This release

1 file

0.1

2 files

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