https://github.com/aperiosoftware/jupyter-aas-timeseries

Jupyter Widget for the AAS Time Series project
https://github.com/aperiosoftware/jupyter-aas-timeseries

Last synced: about 1 month ago
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Jupyter Widget for the AAS Time Series project

• Host: GitHub
• URL: https://github.com/aperiosoftware/jupyter-aas-timeseries
• Owner: aperiosoftware
• Created: 2018-10-15T11:31:44.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2020-02-18T10:30:22.000Z (almost 5 years ago)
• Last Synced: 2024-12-15T01:13:58.419Z (about 2 months ago)
• Language: Python
• Size: 58.6 KB
• Stars: 1
• Watchers: 5
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
jupyter_aas_timeseries

===============================

Jupyter Widget for the AAS Time Series project

Installation

------------

To install use pip:

    $ pip install jupyter-aas-timeseries

    $ jupyter nbextension enable --py --sys-prefix jupyter_aas_timeseries

Development workflow

--------------------

For a development installation (requires npm),

    $ git clone https://github.com/aperiosoftware/jupyter-aas-timeseries.git

    $ cd jupyter-aas-timeseries

    $ pip install -e .

    $ jupyter nbextension install --py --symlink --sys-prefix jupyter_aas_timeseries

    $ jupyter nbextension enable --py --sys-prefix jupyter_aas_timeseries

If you make any changes to the Python code, you do not have to run these

commands again but you will need to restart the kernel from the notebook.

If you want to make changes to the javascript and want to avoid having to

re-install the widget, do the following in a new terminal:

    $ cd js

    $ npm run watch

Every time you save one of the javascript files, the modified files will be

re-bundled and updated in the widget. Refreshing the notebook page is enough

to reflect the new changes (no need to restart the kernel).