rows 0.4.2~0-2.1 source package in Ubuntu
Changelog
rows (0.4.2~0-2.1) unstable; urgency=medium
* Non-maintainer Upload
* remove dependency on python3-unicodecsv (Closes: #1059951)
* remove more unused dependencies:
* python3-ipdb
* python3-nose-yanc
[ Antonio Terceiro ]
* lintian-overrides: update for different tag generated for the same issue
-- Alexandre Detiste <email address hidden> Wed, 10 Jan 2024 00:33:42 +0100
See full publishing history Publishing
| Series | Published | Component | Section | |
|---|---|---|---|---|
| Oracular | release | universe | misc | |
| Noble | release | universe | misc |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| rows_0.4.2~0-2.1.dsc | 2.3 KiB | f69acde1ad008fcf59e9959a6fcee052ac5a806400739b78a3e4c8e49e04e0c9 |
| rows_0.4.2~0.orig.tar.gz | 936.5 KiB | ae6a131784af68cb60c4db5ac472f85a8af0b9ae80e245ad58ca27c0e74ca061 |
| rows_0.4.2~0-2.1.debian.tar.xz | 9.2 KiB | 1de069f14e9e48fe5ada65d09c8de71397fce45255bd44aad9c50123bb9688ca |
Available diffs
- diff from 0.4.2~0-2 to 0.4.2~0-2.1 (3.4 KiB)
No changes file available.
Binary packages built by this source
- python3-rows: library to tabular data, no matter the format
No matter in which format your tabular data is: python3-rows will import it,
automatically detect types and give you high-level Python objects so you can
start working with the data instead of trying to parse it.
It is also locale and unicode aware.
.
The library is composed by:
.
* A common interface to tabular data (the Table class).
* A set of plugins to populate Table objects CSV, XLS, HTML, TXT.
* A set of common fields (such as BoolField, IntegerField) which know exactly
how to serialize and deserialize data for each object type you'll get.
* A set of utilities (such as field type recognition) to help working with
tabular data.
* Access to the most used features: convert between formats, sum, join and
sort tables. Just import rows and relax.
- rows: common, beautiful interface to tabular data, no matter the format
A command-line interface so you can have easy access to the most used
features: convert between formats, sum, join and sort tables.
No matter in which format your tabular data is: rows will import it,
automatically detect types so you can start working with the data instead of
trying to parse it. It is also locale and unicode aware.
