Fast Datagrid widget for the Jupyter Notebook and JupyterLab

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for itayd from gravatar.com itayd Avatar for martinRenou from gravatar.com martinRenou

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (Copyright (c) 2019 Bloomberg All rights reserved. Redistribution and use in source and binary forms...)
  • Author: Bloomberg
  • Tags IPython, Jupyter, Widgets
  • Requires: Python >=3.7
Classifiers

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
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.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for itayd from gravatar.com itayd Avatar for martinRenou from gravatar.com martinRenou

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (Copyright (c) 2019 Bloomberg All rights reserved. Redistribution and use in source and binary forms...)
  • Author: Bloomberg
  • Tags IPython, Jupyter, Widgets
  • Requires: Python >=3.7
Classifiers

Release history Release notifications | RSS feed

1.3.2

1.3.1

1.3.0

1.2.1

1.2.0

1.1.17

This version

1.1.16

1.1.15

1.1.14

1.1.13

1.1.12

1.1.11

1.1.10

1.1.9

1.1.8

1.1.7

1.1.6

1.1.5

1.1.4

1.1.3

1.1.2

1.1.1

1.1.0

1.0.7

1.0.6

1.0.5

1.0.4

1.0.3

1.0.2

1.0.1

1.0.0

Download files

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

Source Distribution

ipydatagrid-1.1.16.tar.gz (6.7 MB view details)

Uploaded Source

Built Distribution

ipydatagrid-1.1.16-py3-none-any.whl (1.2 MB view details)

Uploaded Python 3

File details

Details for the file ipydatagrid-1.1.16.tar.gz.

File metadata

  • Download URL: ipydatagrid-1.1.16.tar.gz
  • Upload date:
  • Size: 6.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.3

File hashes

Hashes for ipydatagrid-1.1.16.tar.gz
Algorithm Hash digest
SHA256 71b282b05d65a729b22cebf5937a6b465fd9cd3beb1c815cc5fc6fd5690bc33f
MD5 b8d5d962d2c2a3f252dd95a3059bae09
BLAKE2b-256 21506f73c6cacfa377fdedf47c1c5318f63d3a5de3d8cda8e305ec56479eadb4

See more details on using hashes here.

Provenance

File details

Details for the file ipydatagrid-1.1.16-py3-none-any.whl.

File metadata

File hashes

Hashes for ipydatagrid-1.1.16-py3-none-any.whl
Algorithm Hash digest
SHA256 d5576c16ac4d04059b0978b8ab415e49b96e15289223c94247c92aa64abb5d49
MD5 564e1c6ca73a799afd825b1a5a5451b3
BLAKE2b-256 52377d850d12ef351862396a35efdcc6d24d940cc5b9ed2873cb281531c934eb

See more details on using hashes here.

Provenance

Supported by

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