Ubuntu
pandas package

pandas 0.19.1-3 source package in Ubuntu

Changelog

pandas (0.19.1-3) unstable; urgency=medium

  * Require cython >= 0.23 or otherwise use pre-cythoned sources
    (should resolve https://github.com/pandas-dev/pandas/issues/14699
    on jessie)
  * debian/control
    - Build-Conflicts with python-tables 3.3.0-4 since that one leads to FTBFS
    - boosted policy to 3.9.8
  * debian/rules
    - Exclude few more tests which fail on big endian and other platforms
      test_(msgpack|read_dta18)
  * debian/patches
    - changeset_0699c89882133a41c250abdac02796fec84512e8.diff
      to compare in the tests against native endianness

 -- Yaroslav Halchenko <email address hidden>  Fri, 09 Dec 2016 15:49:50 -0500

Upload details

Uploaded by:
NeuroDebian Team on 2016-12-10
Uploaded to:
Sid
Original maintainer:
NeuroDebian Team
Architectures:
any all
Section:
python
Urgency:
Medium Urgency

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File Size SHA-256 Checksum
pandas_0.19.1-3.dsc 3.4 KiB abf29b64508be9a2b86fe0805105705fec85615a0e275b3a354fde4a68653476
pandas_0.19.1.orig.tar.gz 5.2 MiB a7b94584321bbcf97f16efaefb6505762b4437931ec323f8522f4a8446241cf8
pandas_0.19.1-3.debian.tar.xz 2.2 MiB c995f30680b4bea531f88f2fd9b19bde800436a7192617f33efdb4f523a71e63

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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-doc: documentation and examples for pandas

 This package contains documentation and example scripts for
 python-pandas.

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.