Open
Description
Hi I need to render some react components which are already supported in mdx, it would be wonderful if I could pass data from python numpy to my react component in mdx in jypyter to render graphs
Problem
Integration with mdx: https://github.com/mdx-js/mdx
[py]
import numpy as np
import globals
data = np.array.rand(2,3)
globals.data = data
[mdx]
import {Chart} from './snowfall.js'
export const year = 2013
# Last year’s snowfall
In {year}, the snowfall was above average.
It was followed by a warm spring which caused
flood conditions in many of the nearby rivers.
<Chart year={year} data={global.data} color="#fcb32c" />
Proposed Solution
- Add frontend tooling like vite
- Add vite-mdx
- Support for a data connecter through socket to pass data from python to mdx files as variables
globals
as common variable to pass data as json- from python dictionary it can easily be converted to javascript object
- which is what is needed in most of the charting library in react
Additional context
JSX and react frontend has lot of charting tools like d3 which are very useful, it would be really helpful to show data from python exports to those frontend renders like mdx
Activity