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pandas package

pandas 0.13.1-2ubuntu2 source package in Ubuntu

Changelog

pandas (0.13.1-2ubuntu2) trusty; urgency=medium

  * No change rebuild to drop python3.3 compiled extension.
 -- Dimitri John Ledkov <email address hidden>   Mon, 31 Mar 2014 19:36:21 +0100

Upload details

Uploaded by:
Dimitri John Ledkov
Uploaded to:
Trusty
Original maintainer:
Ubuntu Developers
Architectures:
any all
Section:
python
Urgency:
Medium Urgency

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Series Pocket Published Component Section
Trusty release universe python

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File Size SHA-256 Checksum
pandas_0.13.1.orig.tar.gz 2.1 MiB e0ad0b2ba3b8de61726dc4fbd6bec5cadf15718dfc7653f7b1908648156a9561
pandas_0.13.1-2ubuntu2.debian.tar.gz 3.2 MiB 9886c675f994b441d74c2e3115733169c10105bbacdfb3cb660b418a34c23e54
pandas_0.13.1-2ubuntu2.dsc 2.8 KiB 1923825a320bbb5b0ca1330a31e9a061c9abdc49a3f9cd1ab049caf2afdd8bf4

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.