pandas 0.19.2-5ubuntu1 source package in Ubuntu

Changelog

pandas (0.19.2-5ubuntu1) zesty; urgency=medium

  * d/rules: Add test_abs to skip on non-amd64 arches.

 -- Chuck Short <email address hidden>  Wed, 22 Feb 2017 17:49:39 -0500

Upload details

Uploaded by:
Chuck Short on 2017-02-22
Uploaded to:
Zesty
Original maintainer:
Ubuntu Developers
Architectures:
any all
Section:
python
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Artful release on 2017-04-20 universe python
Zesty release on 2017-02-23 universe python

Downloads

File Size SHA-256 Checksum
pandas_0.19.2.orig.tar.gz 6.1 MiB af634dd6ed3ca1f8635183f41e7f7769108531ccca8213067d9627857461702e
pandas_0.19.2-5ubuntu1.debian.tar.xz 2.3 MiB 6c13bf4ae21e7c41d0e49e6cf09716782638d9dbe660810ff8993cb18f92f66e
pandas_0.19.2-5ubuntu1.dsc 2.5 KiB e7e24cadc831456c9c0a5d55e24e5206eb28a2b99ee39776e7766f2c7cf54a30

View changes file

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.