PyPI 官网下载 | jupyterlab_thredds-0.2.0.tar.gz

# jupyterlab_thredds [](https://travis-ci.org/eWaterCycle/jupyterlab_thredds) [](https://sonarcloud.io/dashboard?id=jupyterlab_thredds) [](https://sonarcloud.io/component_measures?id=jupyterlab_thredds&metric=coverage) [](https://doi.org/10.5281/zenodo.1241007) JupyterLab dataset browser for [THREDDS catalog](https://www.unidata.ucar.edu/software/thredds/v4.6/tds/catalog/index.html) Can inject [iris](http://scitools.org.uk/iris/docs/latest/index.html)/[xarray](https://xarray.pydata.org)/[leaflet](https://github.com/jupyter-widgets/ipyleaflet) code cells into a Python notebook of a selected dataset to further process/visualize the dataset.  ## Prerequisites * JupyterLab, `pip install jupyterlab` * ipywidgets, `jupyter labextension install @jupyter-widgets/jupyterlab-manager`, requirement for ipyleaflet * ipyleaflet, `jupyter labextension install jupyter-leaflet`, to load a WMS layer * [iris](http://scitools.org.uk/iris/docs/latest/index.html), `conda install -c conda-forge iris` ## Installation ```bash pip install jupyterlab_thredds jupyter labextension install @ewatercycle/jupyterlab_thredds ``` ## Usage 0. Start Jupyter lab with `jupyter lab` 1. In Jupyter lab open a notebook 2. Open the `THREDDS` tab on the left side. 3. Fill the catalog url 4. Press search button 5. Select how you would like to open the dataset, by default it uses [iris](http://scitools.org.uk/iris/docs/latest/index.html) Python package. 6. Press a dataset to insert code into a notebook ## Development For a development install (requires npm version 4 or later), do the following in the repository directory: ```bash npm install npm run build jupyter labextension link . python setup.py develop jupyter serverextension enable --sys-prefix jupyterlab_thredds ``` To rebuild the package and the JupyterLab app: ```bash npm run build jupyter lab build ``` Watch mode ```bash # shell 1 npm run watch # shell 2 jupyter lab --ip=0.0.0.0 --no-browser --watch ``` ## Release To make a new release perform the following steps: 1. Update version in `package.json` and `jupyterlab_thredds/version.py` 2. Make sure tests pass by running `npm test` and `pytest` 3. Publish lab extension to npmjs with `npm run build` and `npm publish --access=public` 4. Publish server extension to pypi with `python setup.py sdist bdist_wheel` and `twine upload dist/*`