Skip to main content

Generates alt text for UpSet plots

Project description

:sparkles: upset-alt-txt-gen Tests

Design experiments for generating semantically meaningful alt-text. This work is adapted from:

Alan Lundgard AND Arvind Satyanarayan (2022). Accessible Visualization via 
Natural Language Descriptions: A Four-Level Model of Semantic Content. IEEE 
Transactions on Visualization & Computer Graphics (Proc. IEEE VIS).

Local Deployment

  1. Clone the repository using git clone or download and extract the zip file.
  2. Ensure you have python version >= 3.8.10 installed.
  3. Open a terminal in the repository directory and create and activate a python virtual environment running at least Python 3.8.10. For information on how to do this, navigate here.
  4. Install the required dependencies using pip install -r requirements.txt.
  5. (Optional) Install the required development dependencies using pip install -r requirements_dev.txt. These are only required if you plan on running the tests or linting.
  6. Install the alttxt module in development mode with pip install -e .

To run the program with the example data, run python [path/to/alttxt directory] --data ../../data/movie_data_card_sort.json Level and granularity can be changed to any of the options listed in Command Line Options. Here is an example command: For unix/macOS: python3 src/alttxt --data data/movie_data_dev_sort.json For Windows: python src/alttxt --data data/movie_data_dev_sort.json

Local Testing

Local testing can be done using the tox command. Tests have not been updated to match the latest updates to the repository, and updating them is currently on hold, as deployment is a priority over robustness.

  • Linting: To run the linting tests, run tox -e lint
  • Type: To run the type tests, run tox -e type
  • Tests: To run the python tests, run tox -e test
  • Formatting: To automatically format the files to match the flake8-black standards, run tox -e format

To run the entire suite of tests at once, use tox.

Command Line Options

Command Description
-h, --help Show information on each command and exit.
-V, --version Show the program version number and exit.
-D, --data (Required) Relative path to data file.
-l, --level Semantic level. Defaults to a combination of all levels. Options are: 1, 2.
-st, --structured Returns information in JSON format that contains structured text (long description), alt-txt (short description), and technical description of the plot making strategy
-t, --title A title for the plot; used in some generations. Defaults to has no title.
------------------------ -------------------------------------------------------------------------------------------------

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

upset-alttxt-0.2.5.tar.gz (23.2 kB view details)

Uploaded Source

Built Distribution

upset_alttxt-0.2.5-py3-none-any.whl (23.6 kB view details)

Uploaded Python 3

File details

Details for the file upset-alttxt-0.2.5.tar.gz.

File metadata

  • Download URL: upset-alttxt-0.2.5.tar.gz
  • Upload date:
  • Size: 23.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for upset-alttxt-0.2.5.tar.gz
Algorithm Hash digest
SHA256 0bb183a7b8346661197ae308bd13bdd562b0dd604ff5efcdf71e2ace0a600f7d
MD5 331312b5b707c753a091d520b70bd87c
BLAKE2b-256 6778944b3247cc66bed7bcb291f2f8ff61bbbf6f645bd500545e9837cc4895bb

See more details on using hashes here.

File details

Details for the file upset_alttxt-0.2.5-py3-none-any.whl.

File metadata

  • Download URL: upset_alttxt-0.2.5-py3-none-any.whl
  • Upload date:
  • Size: 23.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for upset_alttxt-0.2.5-py3-none-any.whl
Algorithm Hash digest
SHA256 b4780cb8790162ded6961f58c5740d172e175ac39b96442039073e3bcfa4d4ae
MD5 f3f1f064d5c500b757a55871434d2d0c
BLAKE2b-256 708c083e27ee3072e1cc82dbee357ba78a91edafea6b23bd320e6ba954f5c844

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page