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pandas package

pandas 0.15.0-2ubuntu2 source package in Ubuntu

Changelog

pandas (0.15.0-2ubuntu2) xenial; urgency=medium

  * No-change rebuild to drop python3.4 support.

 -- Matthias Klose <email address hidden>  Tue, 19 Jan 2016 14:09:49 +0000

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Uploaded by:
Matthias Klose
Uploaded to:
Xenial
Original maintainer:
NeuroDebian Team
Architectures:
any all
Section:
python
Urgency:
Medium Urgency

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pandas_0.15.0.orig.tar.gz 2.7 MiB 4960ca272f8d5d41d97ccf4484feb133f9b1b85ff6b796532fc74d746575c9d4
pandas_0.15.0-2ubuntu2.debian.tar.xz 1.7 MiB bc0137f7843626cc4f169692cf894259467aef022fa9abcbe6e9e19210a2b220
pandas_0.15.0-2ubuntu2.dsc 2.8 KiB 279447fecdc8e14017bc447db1d2580689fb1f7b0bca7bc8e091cab80a4c0d06

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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.