Sort of......
Installing an extension to operate with the Dashboard page (as opposed to
within a notebook) is relatively easy. The *analytics* part is beyond my ken
Code setup
./
setup.py
myExt/
__init__.py
amd/
index.js
setup.py:
#!/usr/bin/env python
from setuptools import setup
setup(name='name',
version='version',
description='description',
author='Me',
author_email='[email protected]',
packages=['myApp'],
package_data={'myApp': ['amd:/*']},
include_package_data=True,
)
__init__.py
def _jupyter_nbextension_paths():
return [{
'section': 'tree',
'src': 'amd',
'dest': 'myApp',
'require': 'myApp/index'
}]
index.js
'use strict';
define(['jquery'], function ($) {
/*
############# add some validity checking to the dialog box ##############
*/
return {
load_ipython_extension: load_ipython_extension
};
function load_ipython_extension() {
// do stuff
$('<div/>', {
id: 'my-app-div',
title: 'some title',
}).appendTo('someCssSelector');
// more stuff
}
Does this help?
On Thursday, 18 January 2018 07:00:19 UTC, Satish Abburi wrote:
>
>
> Looking for any references who has built analytics user facing dashboards
> on Jupyter notebooks, where the presentation layer can be customized using
> JS/CSS. Are they libraries we can leverage for accomplishing this.
>
> Thanks,
> Satish
>
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