| Name | D3vis-ipynb JSON |
| Version |
0.1.0.dev0
JSON |
| download |
| home_page | None |
| Summary | A Custom Jupyter Widget Library with visualizations created with D3.js. |
| upload_time | 2024-04-09 13:31:00 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.9 |
| license | Copyright (c) 2024 Daniel Adam Miranda All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. |
| keywords |
ipython
jupyter
widgets
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# D3vis_ipynb
A Custom Jupyter Widget Library with visualizations created with D3.js.
## Installation
To install use pip:
$ pip install D3vis_ipynb
For a development installation (requires [Node.js](https://nodejs.org) and [Yarn version 1](https://classic.yarnpkg.com/)),
$ git clone https://github.com/H-IAAC/D3vis_ipynb.git
$ cd D3vis_ipynb
$ pip install -e .
$ jupyter nbextension install --py --symlink --overwrite --sys-prefix D3vis_ipynb
$ jupyter nbextension enable --py --sys-prefix D3vis_ipynb
When actively developing your extension for JupyterLab, run the command:
$ jupyter labextension develop --overwrite .
Then you need to rebuild the JS when you make a code change:
$ cd js
$ yarn run build
You then need to refresh the JupyterLab page when your javascript changes.
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