Ubuntu
glueviz package

glueviz 1.17.1+dfsg-2 source package in Ubuntu

Changelog

glueviz (1.17.1+dfsg-2) unstable; urgency=medium

  * Team upload.
  * Remove dependency on python3-mock (Closes: #1069885)

 -- Alexandre Detiste <email address hidden>  Fri, 05 Jul 2024 22:03:09 +0200

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
Oracular release universe misc

Builds

Oracular: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
glueviz_1.17.1+dfsg-2.dsc 2.3 KiB c80c06b96bbf85cbfd1ba0368f686f04fc3e57e44d784316d05b4f16a6f90116
glueviz_1.17.1+dfsg.orig.tar.xz 741.9 KiB 6707b072b8716cb15c79b6ab0b1889789524d5ff69d5116d1dfa2a48ff1906da
glueviz_1.17.1+dfsg-2.debian.tar.xz 13.6 KiB 6a86419317cf4e34e07ce786e57283d9363e2caf5fd5754e0f45928441eacb88

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.