@evolab/vdom-extension
v2.2.0
Published
JupyterLab - VDOM Renderer
Downloads
3
Readme
vdom-extension
A JupyterLab extension for rendering VirtualDOM using React
Prerequisites
- JupyterLab ^0.27.0
Usage
To render VDOM output in IPython:
from IPython.display import display
def VDOM(data={}):
bundle = {}
bundle['application/vdom.v1+json'] = data
display(bundle, raw=True)
VDOM({
'tagName': 'div',
'attributes': {},
'children': [{
'tagName': 'h1',
'attributes': {},
'children': 'Our Incredibly Declarative Example',
'key': 0
}, {
'tagName': 'p',
'attributes': {},
'children': ['Can you believe we wrote this ', {
'tagName': 'b',
'attributes': {},
'children': 'in Python',
'key': 1
}, '?'],
'key': 1
}, {
'tagName': 'img',
'attributes': {
'src': 'https://media.giphy.com/media/xUPGcguWZHRC2HyBRS/giphy.gif'
},
'key': 2
}, {
'tagName': 'p',
'attributes': {},
'children': ['What will ', {
'tagName': 'b',
'attributes': {},
'children': 'you',
'key': 1
}, ' create next?'],
'key': 3
}]
})
Using the vdom Python library:
from vdom import h1, p, img, div, b
div(
h1('Our Incredibly Declarative Example'),
p('Can you believe we wrote this ', b('in Python'), '?'),
img(src="https://media.giphy.com/media/xUPGcguWZHRC2HyBRS/giphy.gif"),
p('What will ', b('you'), ' create next?'),
)
To render a .vdom
or .vdom.json
file, simply open it:
Development
See the JupyterLab Contributor Documentation.