Ubuntu
pandas package

pandas 0.22.0-4ubuntu1 source package in Ubuntu

Changelog

pandas (0.22.0-4ubuntu1) bionic; urgency=medium

  * d/p/mark_tests_working_on_intel_armhf.patch: Backport additional patch
    updates from Ubuntu Eoan package to enable successful armhf build
    (LP: #1861148).
  * d/p/troubleshoot-CI-29294.patch: Partial cherry-pick from upstream master
    that fixes test_null_byte_char failure (LP: #1861124).

 -- Corey Bryant <email address hidden>  Tue, 28 Jan 2020 08:55:02 -0500

Upload details

Uploaded by:
Corey Bryant
Uploaded to:
Bionic
Original maintainer:
Debian Science Team
Architectures:
any all
Section:
python
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Bionic updates universe python

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File Size SHA-256 Checksum
pandas_0.22.0.orig.tar.gz 6.5 MiB 4b112cf1a35de3d46f9d5ee00309804e9a0dcdfb249d512fe8d38678de15b0bb
pandas_0.22.0-4ubuntu1.debian.tar.xz 3.0 MiB 6175ad0b8273284d2a24e044c5340eb9a2ce5aae9e1c7e162b834e31526be902
pandas_0.22.0-4ubuntu1.dsc 3.6 KiB 1ffcafb9ecbc2adcbdb7de48c2f3ff39c743a3a12122741d405d54e2440fd145

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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