eptium

Eptium for Jupyter

A jupyter widget to display COPC and COGS data from Eptium.

Installation

You can install using pip:

pip install eptium

Usage

The following is an example on how to render data within the jupyter notebook environment

import eptium

w = eptium.Eptium()
w.render("https://s3.amazonaws.com/hobu-lidar/autzen-classified.copc.laz")
w

The example above shows a remote URL to a COPC file. Inside jupyter, this extension can also render local files relative to the notebook.

import eptium

w = eptium.Eptium()
w.render("./path/to/file.copc.laz")
w

The render method supports other optional arguments to customize the view. Run help(w.render) to see the possible options.

Note: the local file functionality is not present in google colab.

Development Installation

Create a dev environment:

conda create -n eptium-dev -c conda-forge nodejs python jupyterlab
conda activate eptium-dev

Install the python. This will also build the TS package.

pip install -e ".[test, examples]"

When developing your extensions, you need to manually enable your extensions with the notebook / lab frontend. For lab, this is done by the command:

jupyter labextension develop --overwrite .
jlpm run build

For classic notebook, you need to run:

jupyter nbextension install --sys-prefix --symlink --overwrite --py eptium
jupyter nbextension enable --sys-prefix --py eptium

Note that the --symlink flag doesn't work on Windows, so you will here have to run the install command every time that you rebuild your extension. For certain installations you might also need another flag instead of --sys-prefix, but we won't cover the meaning of those flags here.

How to see your changes

Typescript

If you use JupyterLab to develop then 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 widget.

# Watch the source directory in one terminal, automatically rebuilding when needed
jlpm run watch
# Run JupyterLab in another terminal
jupyter lab

After a change wait for the build to finish and then refresh your browser and the changes should take effect.

Python

If you make a change to the python code then you will need to restart the notebook kernel to have it take effect.

Updating the version

To update the version, install tbump and use it to bump the version. By default it will also create a tag.

pip install tbump
tbump <new-version>