Ubuntu
pandas package

pandas 0.15.0-2 source package in Ubuntu

Changelog

pandas (0.15.0-2) unstable; urgency=medium


  * debian/control
    - specify minimal numpy to be 1.7
  * debian/patches
    - deb_skip_stata_on_bigendians   skip test_stata again on BE platforms
    - deb_skip_test_precision_i386   skip test_precision_conversion on 32bit

 -- Yaroslav Halchenko <email address hidden>  Thu, 30 Oct 2014 23:09:13 -0400

Upload details

Uploaded by:
NeuroDebian Team
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_0.15.0-2.dsc 2.1 KiB f004b3b0f38d0f01960910ebad6bd79c375e12cfd3c8d43cb2e87a591e8241b2
pandas_0.15.0.orig.tar.gz 2.7 MiB 4960ca272f8d5d41d97ccf4484feb133f9b1b85ff6b796532fc74d746575c9d4
pandas_0.15.0-2.debian.tar.xz 1.7 MiB 80ff29f7a6c8fbe8be633348a027d35a8d7619d58f21a7ed008cff9d630588c1

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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: No summary available for python-pandas-lib in ubuntu vivid.

No description available for python-pandas-lib in ubuntu vivid.

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: No summary available for python3-pandas-lib in ubuntu vivid.

No description available for python3-pandas-lib in ubuntu vivid.