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authorGravatar Jonas Gunz <himself@jonasgunz.de> 2023-11-21 01:22:14 +0100
committerGravatar Jonas Gunz <himself@jonasgunz.de> 2023-11-21 01:22:14 +0100
commitd37ab408c9449c9602467cea2690cd21728e1e91 (patch)
tree1421db51c919c2d1391315321abf47cca11ec1c6 /Readme.md
parent87dfb06337b6a72b868c057a9c22dc7d4bcb0d3d (diff)
downloadmeteo_toolbox-d37ab408c9449c9602467cea2690cd21728e1e91.tar.gz
readme and license
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@@ -21,6 +21,7 @@ It defines datasources, as well as plots to create.
See the included `config.yaml` for an example configuration.
To trigger chart generation, execute `run.py`.
+If no path is provided as argument, `config.yaml` is used by default.
## Data Sources
@@ -31,7 +32,15 @@ and the *University of Wyoming* [Atmospheric Science Radiosonde Archive](http://
It is my goal to make every plotter work with as many data sources as possible,
to enable the parallel usage of as many datasources as possible.
-## notes
+## Web
-https://matplotlib.org/3.1.1/gallery/color/colormap_reference.html
-https://unidata.github.io/MetPy/v1.0/api/generated/metpy.plots.ctables.html
+`web/` is a **very** basic web frontend for the generated plots.
+If all the data is put in `web/data/` (which is the default),
+it can be started by just running `python -m http.server -d web/`.
+
+Next to the plots, each plotter also creates an `index.NAME.json`,
+which the webpage uses to list products.
+
+## License
+
+[LICENSE](LICENSE)