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pandas package

pandas 0.13.1-2ubuntu1 source package in Ubuntu

Changelog

pandas (0.13.1-2ubuntu1) trusty; urgency=low

  * drop statsmodels build depends to bootstrap arm64
    only adds a few more build tests
 -- Julian Taylor <email address hidden>   Mon, 10 Feb 2014 20:08:13 +0100

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Uploaded by:
Julian Taylor
Uploaded to:
Trusty
Original maintainer:
Ubuntu Developers
Architectures:
any all
Section:
python
Urgency:
Low Urgency

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pandas_0.13.1.orig.tar.gz 2.1 MiB e0ad0b2ba3b8de61726dc4fbd6bec5cadf15718dfc7653f7b1908648156a9561
pandas_0.13.1-2ubuntu1.debian.tar.gz 3.1 MiB 3df9d049ce5bcd97e37ded16e705246ff0c2b7c057be4a67d83063a69038fce0
pandas_0.13.1-2ubuntu1.dsc 2.8 KiB 9b3de34027465e3d2d2635ac67a26489d0365bc2d84621694c3e4be29fad1502

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Binary packages built by this source

python-pandas: data structures for "relational" or "labeled" data

 pandas is a Python package providing fast, flexible, and expressive
 data structures designed to make working with "relational" or
 "labeled" data both easy and intuitive. It aims to be the fundamental
 high-level building block for doing practical, real world data
 analysis in Python. pandas is well suited for many different kinds of
 data:
 .
  - Tabular data with heterogeneously-typed columns, as in an SQL
    table or Excel spreadsheet
  - Ordered and unordered (not necessarily fixed-frequency) time
    series data.
  - Arbitrary matrix data (homogeneously typed or heterogeneous) with
    row and column labels
  - Any other form of observational / statistical data sets. The data
    actually need not be labeled at all to be placed into a pandas
    data structure
 .
 This package contains the Python 2 version.

python-pandas-lib: low-level implementations and bindings for pandas

 This is an add-on package for python-pandas providing
 architecture-dependent extensions.
 .
 This package contains the Python 2 version.

python3-pandas: data structures for "relational" or "labeled" data - Python 3

 pandas is a Python package providing fast, flexible, and expressive
 data structures designed to make working with "relational" or
 "labeled" data both easy and intuitive. It aims to be the fundamental
 high-level building block for doing practical, real world data
 analysis in Python. pandas is well suited for many different kinds of
 data:
 .
  - Tabular data with heterogeneously-typed columns, as in an SQL
    table or Excel spreadsheet
  - Ordered and unordered (not necessarily fixed-frequency) time
    series data.
  - Arbitrary matrix data (homogeneously typed or heterogeneous) with
    row and column labels
  - Any other form of observational / statistical data sets. The data
    actually need not be labeled at all to be placed into a pandas
    data structure
 .
 This package contains the Python 3 version.

python3-pandas-lib: low-level implementations and bindings for pandas - Python 3

 This is an add-on package for python-pandas providing
 architecture-dependent extensions.
 .
 This package contains the Python 3 version.