Skip to main content

Fast Datagrid widget for the Jupyter Notebook and JupyterLab

Project description

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
pip install -e ".[dev]"

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ipydatagrid-1.1.6.tar.gz (12.8 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ipydatagrid-1.1.6-py3-none-any.whl (3.0 MB view details)

Uploaded Python 3

File details

Details for the file ipydatagrid-1.1.6.tar.gz.

File metadata

  • Download URL: ipydatagrid-1.1.6.tar.gz
  • Upload date:
  • Size: 12.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for ipydatagrid-1.1.6.tar.gz
Algorithm Hash digest
SHA256 ea7a207f22987edf61a603979497e93d20fd44572af49627d58bc31c5e403f51
MD5 2a9b5db5c6869d26f310786983812948
BLAKE2b-256 6738f72c04f661b9d2110a58dba69d89e48fdfdec1990900e16f8a267d032d15

See more details on using hashes here.

File details

Details for the file ipydatagrid-1.1.6-py3-none-any.whl.

File metadata

  • Download URL: ipydatagrid-1.1.6-py3-none-any.whl
  • Upload date:
  • Size: 3.0 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for ipydatagrid-1.1.6-py3-none-any.whl
Algorithm Hash digest
SHA256 da7c763947996b8f579744bc7a644c0f55826d8e08a89cdaef42536e4b1ea717
MD5 7990c5bcf402c60d2f415d4ed75627f6
BLAKE2b-256 f4f302e55fc1dcfd8326aa8077624c2f7e2029dd652729cc19a29e34c8f3de6e

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page