Data visualization based on signac.
Project description
signac-dashboard: data visualization for signac
Built on top of the signac framework, signac-dashboard allows users to rapidly visualize and analyze data managed in a signac project.
Resources
- Dashboard topic guide: Introduction to signac-dashboard.
- Dashboard documentation: Package reference and APIs.
- Dashboard examples: Example dashboards demonstrating a variety of use cases.
- Framework documentation: Examples, tutorials, topic guides, and package Python APIs.
- Chat Support: Get help and ask questions on the signac gitter channel.
- signac website: Framework overview and news.
Installation
The recommended installation method for signac-dashboard is through conda or pip. The software is tested for Python 3.5+ and is built for all major platforms.
To install signac-dashboard via the conda-forge channel, execute:
conda install -c conda-forge signac-dashboard
To install signac-dashboard via pip, execute:
pip install signac-dashboard
Detailed information about alternative installation methods can be found in the documentation.
Quickstart
In an existing signac project directory, create a file dashboard.py
:
from signac_dashboard import Dashboard from signac_dashboard.modules import StatepointList, DocumentList, ImageViewer if __name__ == '__main__': modules = [StatepointList(), DocumentList(), ImageViewer()] Dashboard(modules=modules).main()
Then launch the dashboard:
$ python dashboard.py run
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Filename, size | File type | Python version | Upload date | Hashes |
---|---|---|---|---|
Filename, size signac_dashboard-0.2.4-py3-none-any.whl (1.3 MB) | File type Wheel | Python version py3 | Upload date | Hashes View |
Close
Hashes for signac_dashboard-0.2.4-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | d2c8411ab325de1c8ce1252682f60d4784573ce76697cbd80a0d13eea41bc8d0 |
|
MD5 | ff7a50cf13bd12ab017dd817d9cc636f |
|
BLAKE2-256 | e6f22ef0d4adbedfef5d00a2d8be42f871590680c9184eb8dc9ef8c505968553 |