JupyterLab Spreadsheet Editor
JupyterLab spreadsheet editor enables interactive editing of comma/tab separated value spreadsheets.
It support formulas, sorting, column/row rearrangements and more!
Note: you might be interested to checkout tabular-data-editor as well
Showcase
Fully featured integration
- row/column operations, column width adjustment
- search and replace
Formula support
basic formula calculation (rendering) - as implemented by jExcel.
Column freezing
for exploration of wide datasets with many covariates
Launcher items:
create CSV/TSV files easily from the launcher or the palette.
Lightweight and reliable dependencies:
the spreadsheet interface is built with the jexcel, while Papa Parse provides very fast, RFC 4180 compatible CSV parsing (both have no third-party dependencies).
Requirements
Install
pip install jupyterlab-spreadsheet-editor
Contributing
Development install
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.
pip install -e .
jupyter labextension develop . --overwrite
jlpm run build
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.
jlpm run watch
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 run 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
Uninstall
pip uninstall jupyterlab-spreadsheet-editor
Related extensions
Spreadsheet editors:
Spreadsheet viewers:
In-notebook spreadsheet widgets:
- ipysheet - programmable sheet creation, exploration and modification
- qgrid - interactive DataFrame exploration and modification