Ubuntu
pandas package

pandas 0.17.1-3ubuntu1 source package in Ubuntu

Changelog

pandas (0.17.1-3ubuntu1) xenial; urgency=medium

  * d/rules: Update EXCLUDE_TESTS to exclude tests that are failing as
    noted in https://github.com/pydata/pandas/issues/11282.

 -- Corey Bryant <email address hidden>  Mon, 08 Feb 2016 14:32:15 -0500

Upload details

Uploaded by:
Corey Bryant
Sponsored by:
Chuck Short
Uploaded to:
Xenial
Original maintainer:
NeuroDebian Team
Architectures:
any all
Section:
python
Urgency:
Medium Urgency

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File Size SHA-256 Checksum
pandas_0.17.1.orig.tar.gz 4.8 MiB 04f9ceb7e4103c649916b5fd4f9c3daaa9602e239732c4432324de31fd18ccc6
pandas_0.17.1-3ubuntu1.debian.tar.xz 2.0 MiB b60084003e769080493ad085573efc3bc5476a51cf845fa8f56477e2cbd3c1f3
pandas_0.17.1-3ubuntu1.dsc 2.4 KiB 91398c83191148130c43439282c3640d7112d8c0adfb713011483de1d33ed90b

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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.