Ubuntu
pandas package

pandas 0.13.1-2 source package in Ubuntu

Changelog

pandas (0.13.1-2) unstable; urgency=low


  * debian/patches/changeset_6d56e7300d66d3ba76684334bbb44b6cd0ea9f61.diff
    to fix FTBFS of statsmodels due to failing tests (Closes: #735804)

 -- Yaroslav Halchenko <email address hidden>  Sat, 08 Feb 2014 12:46:42 -0500

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Uploaded by:
NeuroDebian Team
Uploaded to:
Sid
Original maintainer:
NeuroDebian Team
Architectures:
any all
Section:
python
Urgency:
Low Urgency

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File Size SHA-256 Checksum
pandas_0.13.1-2.dsc 2.1 KiB 71f497f7dd44be1a85dfa9ef716a88edfebe20103caef151b3fdfd1849fa59bb
pandas_0.13.1.orig.tar.gz 2.1 MiB e0ad0b2ba3b8de61726dc4fbd6bec5cadf15718dfc7653f7b1908648156a9561
pandas_0.13.1-2.debian.tar.xz 1.4 MiB 25a39a7d70e8c8047699bb8a5df9af346145bedf62f9636ed9c975d3be397357

Available diffs

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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.