glueviz 1.17.1+dfsg-1 source package in Ubuntu
Changelog
glueviz (1.17.1+dfsg-1) unstable; urgency=medium
* Team upload.
* New upstream version
* Build-Depends: s/dh-python/dh-sequence-python3/ (routine-update)
* Use secure URI in Homepage field.
* Set upstream metadata fields: Bug-Submit, Repository, Repository-Browse.
* Remove obsolete field Name from debian/upstream/metadata (already present
in machine-readable debian/copyright).
* Refresh patches and provide desktop file in debian/ dir
-- Andreas Tille <email address hidden> Thu, 08 Feb 2024 14:09:40 +0100
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 | |
|---|---|---|---|---|
| Noble | release | universe | misc |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| glueviz_1.17.1+dfsg-1.dsc | 2.3 KiB | 78889c996ac4bfc0dc54d48696ae2c392b0ae29b16a87b4de31b7cb40c270cc0 |
| glueviz_1.17.1+dfsg.orig.tar.xz | 741.9 KiB | 6707b072b8716cb15c79b6ab0b1889789524d5ff69d5116d1dfa2a48ff1906da |
| glueviz_1.17.1+dfsg-1.debian.tar.xz | 13.6 KiB | f076d36bcd3a5cf3643effdeda1678cfed7fe9b6316b96824b3fcaf95231df90 |
Available diffs
- diff from 1.0.1+dfsg-3 to 1.17.1+dfsg-1 (638.5 KiB)
- diff from 1.0.1+dfsg-3ubuntu1 (in Ubuntu) to 1.17.1+dfsg-1 (639.5 KiB)
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.
