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 | Published | Component | Section | |
---|---|---|---|---|
Oracular | release | universe | misc |
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
- diff from 1.17.1+dfsg-1 to 1.17.1+dfsg-2 (424 bytes)
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.