pandas 0.23.3+dfsg-3ubuntu1 source package in Ubuntu

Changelog

pandas (0.23.3+dfsg-3ubuntu1) disco; urgency=medium

  * Merge with Debian unstable, remaining changes:
    + Skip python2 test_sum_overflow which OOMs on ppc64el

pandas (0.23.3+dfsg-3) unstable; urgency=medium

  * Team upload.
  * Make np.array @ Series act the right way round.  (Closes: #923708)
  * Replace #918206 fix with a fix that doesn't change the return type
    and inplace-ness of np.array += DataFrame.  (Closes: #923707)
  * Fix missing page in documentation.

 -- Graham Inggs <email address hidden>  Thu, 07 Mar 2019 12:48:23 +0000

Upload details

Uploaded by:
Graham Inggs on 2019-03-07
Uploaded to:
Disco
Original maintainer:
Ubuntu Developers
Architectures:
any all
Section:
python
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Eoan release on 2019-04-18 universe python
Disco release on 2019-03-08 universe python

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pandas_0.23.3+dfsg.orig.tar.gz 7.2 MiB 061409fc945cdeb85f366583e29eacee06c8c70b694ad6187d9b487a1133565c
pandas_0.23.3+dfsg-3ubuntu1.debian.tar.xz 3.5 MiB 03ff2bb0c5cbb74ea1f84345f8465be245530cbe672673ec61f4b57f4ff81b0f
pandas_0.23.3+dfsg-3ubuntu1.dsc 4.0 KiB 7275b5e94f3680f1da330365d864af8f4a1b42328e18926a318d76978beb3a6f

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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.

python-pandas-lib-dbgsym: debug symbols for python-pandas-lib
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.

python3-pandas-lib-dbgsym: debug symbols for python3-pandas-lib