Huge News!Announcing our $40M Series B led by Abstract Ventures.Learn More
Socket
Sign inDemoInstall
Socket

ipydatagrid

Package Overview
Dependencies
Maintainers
2
Versions
27
Alerts
File Explorer

Advanced tools

Socket logo

Install Socket

Detect and block malicious and high-risk dependencies

Install

ipydatagrid

Fast Datagrid widget for the Jupyter Notebook and JupyterLab

  • 1.1.15
  • Source
  • npm
  • Socket score

Version published
Maintainers
2
Created
Source

ipydatagrid

Binder pre-commit code style: prettier Code style: black tested with jest

Fast Datagrid widget for the Jupyter Notebook and JupyterLab

Menu

Usage and Examples

A fully-featured DataGrid interface DataGrid

Highly performant and fully integrated with ipywidgets DataGrid

Customize the way data is represented in your grid using a variety of renderers DataGrid

Enjoy a sophisticated selections model with two-way data binding DataGrid

Conditional formatting powered by Vega Expressions DataGrid

Tutorial and example notebooks can be found in the /examples directory.

Installation

If using JupyterLab, ipydatagrid requires JupyterLab version 3 or higher.

You can install ipydatagrid using pip or conda:

Using pip:

pip install ipydatagrid

Using conda:

conda install -c conda-forge ipydatagrid

If you are using Jupyter Notebook 5.2 or earlier, you may also need to enable the nbextension:

jupyter nbextension enable --py [--sys-prefix|--user|--system] ipydatagrid

NOTE: For examples using Scales from bqplot to work as intended, the bqplot notebook and lab extensions must be installed as well. See the bqplot repo for installation instructions:

Development installation

For a development installation:

git clone https://github.com/Bloomberg/ipydatagrid.git
cd ipydatagrid
conda install ipywidgets=8 jupyterlab
pip install -ve .

Enabling development install for Jupyter notebook:

jupyter nbextension install --py --symlink --sys-prefix ipydatagrid
jupyter nbextension enable --py --sys-prefix ipydatagrid

Enabling development install for JupyterLab:

jupyter labextension develop . --overwrite

Note for developers: the --symlink argument on Linux or OS X allows one to modify the JavaScript code in-place. This feature is not available with Windows. `

Contributions

We :heart: contributions.

Have you had a good experience with this project? Why not share some love and contribute code, or just let us know about any issues you had with it?

We welcome issue reports here; be sure to choose the proper issue template for your issue, so that we can be sure you're providing the necessary information.

Before sending a Pull Request, please make sure you read our Contribution Guidelines.

License

Please read the LICENSE file.

Code of Conduct

This project has adopted a Code of Conduct. If you have any concerns about the Code, or behavior which you have experienced in the project, please contact us at opensource@bloomberg.net.

Security Vulnerability Reporting

If you believe you have identified a security vulnerability in this project, please send email to the project team at opensource@bloomberg.net, detailing the suspected issue and any methods you've found to reproduce it.

Please do NOT open an issue in the GitHub repository, as we'd prefer to keep vulnerability reports private until we've had an opportunity to review and address them.

Keywords

FAQs

Package last updated on 15 Feb 2023

Did you know?

Socket

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Install

Related posts

SocketSocket SOC 2 Logo

Product

  • Package Alerts
  • Integrations
  • Docs
  • Pricing
  • FAQ
  • Roadmap
  • Changelog

Packages

npm

Stay in touch

Get open source security insights delivered straight into your inbox.


  • Terms
  • Privacy
  • Security

Made with ⚡️ by Socket Inc