| Name | datasette-plot JSON |
| Version |
0.1.0
JSON |
| download |
| home_page | |
| Summary | Observable Plot Datasette plugin |
| upload_time | 2023-12-21 19:11:27 |
| maintainer | |
| docs_url | None |
| author | Alex Garcia |
| requires_python | >=3.8 |
| license | Apache-2.0 |
| keywords |
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# datasette-plot
[](https://pypi.org/project/datasette-plot/)
[](https://github.com/datasette/datasette-plot/releases)
[](https://github.com/datasette/datasette-plot/actions?query=workflow%3ATest)
[](https://github.com/datasette/datasette-plot/blob/main/LICENSE)
A Datasette plugin for making data visualizations with [Observable Plot](https://observablehq.com/plot/) .
<img width="600px" src="https://datasette-cloud-assets.s3.amazonaws.com/blog/2023/datasette-plot/hero.jpeg"/>
## Installation
Install this plugin in the same environment as Datasette.
```bash
datasette install datasette-plot
```
## Usage
Once installed, table pages and SQL query pages will have a new "Show plot" button that will open the `datasette-plot`.
<img width="600px" src="https://datasette-cloud-assets.s3.amazonaws.com/blog/2023/datasette-plot/table-2.jpeg"/>
Current, `datasette-plot` only supports a few [visualization marks](https://observablehq.com/plot/features/marks) from Plot, including dot, line, area, bar, and more.
<video width=600 controls autoplay type="video/mp4" style="display: block; margin: 0 auto" >
<source src="https://datasette-cloud-assets.s3.amazonaws.com/blog/2023/datasette-plot/dsc-plot-02.mp4" type="video/mp4">
Your browser does not support the video tag.
</video>
Use the `Link to this plot` URL to share visualization with others. The link will have your plot options encoded in the URL.
## Development
To set up this plugin locally, first checkout the code. Then create a new virtual environment:
```bash
cd datasette-plot
python3 -m venv venv
source venv/bin/activate
```
Now install the dependencies and test dependencies:
```bash
pip install -e '.[test]'
```
To run the tests:
```bash
pytest
```
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