- JupyterLab >= 3.0
To install the extension, execute:
pip install jupyterlab_rviz
To remove the extension, execute:
pip uninstall jupyterlab_rviz
Note: You will need NodeJS to build the extension package.
The jlpm
command is JupyterLab's pinned version of
yarn that is installed with JupyterLab. You may use
yarn
or npm
in lieu of jlpm
below.
# create a new environment
conda env create
# activate the environment
conda activate jupyterlab-extension-examples
# go to the hello world example
cd hello-world
# Required to deal with Yarn 3 workspace rules
touch yarn.lock
# install the extension in editable mode
python -m pip install -e .
# install your development version of the extension with JupyterLab
jupyter labextension develop . --overwrite
# build the TypeScript source after making changes
jlpm run build
# start JupyterLab
jupyter lab
# Packaging extension
pip install build
python -m build -s
You can watch the source directory and run JupyterLab at the same time in different terminals to watch for changes in the extension's source and automatically rebuild the extension.
# Watch the source directory in one terminal, automatically rebuilding when needed
jlpm watch
# Run JupyterLab in another terminal
jupyter lab
With the watch command running, every saved change will immediately be built locally and available in your running JupyterLab. Refresh JupyterLab to load the change in your browser (you may need to wait several seconds for the extension to be rebuilt).
By default, the jlpm build
command generates the source maps for this extension to make it easier to debug using the browser dev tools. To also generate source maps for the JupyterLab core extensions, you can run the following command:
jupyter lab build --minimize=False
pip uninstall jupyterlab_rviz
In development mode, you will also need to remove the symlink created by jupyter labextension develop
command. To find its location, you can run jupyter labextension list
to figure out where the labextensions
folder is located. Then you can remove the symlink named jupyterlab-rviz
within that folder.
See RELEASE