Ubuntu
pandas package

pandas 0.17.0+git8-gcac4ad2-2 source package in Ubuntu

Changelog

pandas (0.17.0+git8-gcac4ad2-2) unstable; urgency=medium

  * Bug fix: install also msgpack/*.so extensions to -lib packages

 -- Yaroslav Halchenko <email address hidden>  Sat, 10 Oct 2015 13:52:54 -0400

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Uploaded by:
NeuroDebian Team
Uploaded to:
Sid
Original maintainer:
NeuroDebian Team
Architectures:
any all
Section:
python
Urgency:
Medium Urgency

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pandas_0.17.0+git8-gcac4ad2-2.dsc 3.0 KiB 0acdb28be8ca9cb5175e70c005bd1e849cc248eff72a48675a0b28dbfdd02b97
pandas_0.17.0+git8-gcac4ad2.orig.tar.gz 4.6 MiB f37c888516350602e8d1271fa7e1150da2fd5e0fdd13b29c4b0475788bb57ee0
pandas_0.17.0+git8-gcac4ad2-2.debian.tar.xz 1.9 MiB 926f7ec16cb35e4554364231f47bbd0ffb156a7e4148ac11835fee02fa4ba5bb

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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.