Ubuntu
glueviz package

glueviz 0.15.5+dfsg-1 source package in Ubuntu

Changelog

glueviz (0.15.5+dfsg-1) unstable; urgency=medium

  * New upstream release (0.15.5)
    - Refresh debian/patches.
    - Add python3-setuptools-scm as build dependency.
  * Remove python2 package dependencies.
  * debian/clean added the following files to be cleaned up:
    - glue/external/pvextractor/LICENSE
    - glue/data_factories/tests/data/ssc2006-16a1_Ti.jpg
  * Bump Standards-Version to 4.4.0. No changes required
  * Update debhelper to use debhelper-compat (= 12)

 -- Josue Ortega <email address hidden>  Thu, 25 Jul 2019 12:12:02 -0300

Upload details

Uploaded by:
Debian Astronomy Maintainers
Uploaded to:
Sid
Original maintainer:
Debian Astronomy Maintainers
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Focal release universe misc

Builds

Eoan: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
glueviz_0.15.5+dfsg-1.dsc 2.3 KiB 2747f8bdcefbbeeeb1cb924a12f298b385c3eb8de41ce30303f29b19e8015960
glueviz_0.15.5+dfsg.orig.tar.gz 21.9 MiB 1a862e3430bc603b65a9e67e43631df5cd80c178937a5a64b8fc6d4e8839679e
glueviz_0.15.5+dfsg-1.debian.tar.xz 13.7 KiB 3ec4d7544a8c640edc0aa7bde563cdb659d9e8cf2418af6e76495188d8de56f0

Available diffs

No changes file available.

Binary packages built by this source

glueviz: Linked data visualization

 Glue is a Python project to link visualizations of scientific datasets across
 many files. Some of its features are:
 .
  * Interactive, linked statistical graphics of multiple files.
  * Support for many file formats including common image formats,
    ascii tables, astronomical image and table formats (fits, vot, ipac), and
    HDF5. Custom data loaders can also be easily added.
  * Highly scriptable and extendable.

python3-glue: Python 3 library for data interaction

 python3-glue is a Python library for data interaction, it blurs the boundary
 between GUI-centric and code-centric data exploration.
 There are many ways to leverage Glue from Python. Among other things, you can
 write code to do the following:
 .
  * Send data in the form of NumPy arrays or Pandas DataFrames to Glue for
    exploration.
  * Write startup scripts that automatically load and clean data,
    before starting Glue.
  * Write custom functions to parse files, and plug these functions into the
    Glue GUI.
  * Write custom functions to link datasets, and plug these into the Glue GUI.
  * Create your own visualization modules.