Web developer and autodidact with an interest in creative coding.
Public
Edited
Apr 21, 2023
Paused
Importers
20 stars
markLines(exampleText, [1, 2], 'js')
markLines(exampleText, [1, 2], { language: 'js', span: true})
markRanges(exampleText, [[16, 26], [57, 92]], 'js')
markRanges(exampleText, [[16, 26, '#FDF'], [57, 92, '#CFC']], {
language: 'js',
wrap: (contents, color) => html`<mark style="background:${color}">${contents}`
})
markMatches(exampleText, /\([^()]*\)/g, 'js')
{
const styleInitial = 'box-shadow: none; border-radius: 4px; padding: 2px; background: none; transition: all 500ms';
const styleActive = 'background: #ff0; box-shadow: 0 2px 5px -1px #550a';
const lines = [];
// Data equals the current line number.
const wrap = (contents, data) => {
const node = html`<mark style="${styleInitial}">${contents}`;
node.index = data;
lines.push(node);
return node;
};
const block = markLines(exampleText, true, {wrap, language: 'js'});
lines.sort((a, b) => a.index - b.index);
let n = -1;
while(true) {
if(lines[n]) lines[n].style.cssText += styleInitial;
n = (n + 1) % lines.length;
lines[n].style.cssText += styleActive;
yield block;
await Promises.delay(1000);
}
}
One platform to build and deploy the best data apps
Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.