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Edited
Apr 23, 2021
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md`# Plotly slider use
Reference page: https://plotly.com/javascript/gapminder-example/
`
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{
// Create a lookup table to sort and regroup the columns of data,
// first by year, then by continent:
let lookup = {};
function getData(year, continent) {
let byYear, trace;
if (!(byYear = lookup[year])) {
byYear = lookup[year] = {};
}
// If a container for this year + continent doesn't exist yet,
// then create one:
if (!(trace = byYear[continent])) {
trace = byYear[continent] = {
x: [],
y: [],
id: [],
text: [],
marker: { size: [] }
};
}
return trace;
}

// Go through each row, get the right trace, and append the data:
for (let i = 0; i < data.length; i++) {
let datum = data[i];
let trace = getData(datum.year, datum.continent);
trace.text.push(datum.country);
trace.id.push(datum.country);
trace.x.push(datum.lifeExp);
trace.y.push(datum.gdpPercap);
trace.marker.size.push(datum.pop);
}

// Get the group names:
let years = Object.keys(lookup);
// In this case, every year includes every continent, so we
// can just infer the continents from the *first* year:
let firstYear = lookup[years[0]];
let continents = Object.keys(firstYear);

// Create the main traces, one for each continent:
let traces = [];
for (let i = 0; i < continents.length; i++) {
let data = firstYear[continents[i]];
// One small note. We're creating a single trace here, to which
// the frames will pass data for the different years. It's
// subtle, but to avoid data reference problems, we'll slice
// the arrays to ensure we never write any new data into our
// lookup table:
traces.push({
name: continents[i],
x: data.x.slice(),
y: data.y.slice(),
id: data.id.slice(),
text: data.text.slice(),
mode: 'markers',
marker: {
size: data.marker.size.slice(),
sizemode: 'area',
sizeref: 200000
}
});
}

// Create a frame for each year. Frames are effectively just
// traces, except they don't need to contain the *full* trace
// definition (for example, appearance). The frames just need
// the parts the traces that change (here, the data).
let frames = [];
for (let i = 0; i < years.length; i++) {
frames.push({
name: years[i],
data: continents.map(function(continent) {
return getData(years[i], continent);
})
});
}

// Now create slider steps, one for each frame. The slider
// executes a plotly.js API command (here, Plotly.animate).
// In this example, we'll animate to one of the named frames
// created in the above loop.
let sliderSteps = [];
for (let i = 0; i < years.length; i++) {
sliderSteps.push({
method: 'animate',
label: years[i],
args: [
[years[i]],
{
mode: 'immediate',
transition: { duration: 300 },
frame: { duration: 300, redraw: false }
}
]
});
}

let layout = {
xaxis: {
title: 'Life Expectancy',
range: [30, 85]
},
yaxis: {
title: 'GDP per Capita',
type: 'log'
},
hovermode: 'closest',
// We'll use updatemenus (whose functionality includes menus as
// well as buttons) to create a play button and a pause button.
// The play button works by passing `null`, which indicates that
// Plotly should animate all frames. The pause button works by
// passing `[null]`, which indicates we'd like to interrupt any
// currently running animations with a new list of frames. Here
// The new list of frames is empty, so it halts the animation.
updatemenus: [
{
x: 0,
y: 0,
yanchor: 'top',
xanchor: 'left',
showactive: false,
direction: 'left',
type: 'buttons',
pad: { t: 87, r: 10 },
buttons: [
{
method: 'animate',
args: [
null,
{
mode: 'immediate',
fromcurrent: true,
transition: { duration: 300 },
frame: { duration: 500, redraw: false }
}
],
label: 'Play'
},
{
method: 'animate',
args: [
[null],
{
mode: 'immediate',
transition: { duration: 0 },
frame: { duration: 0, redraw: false }
}
],
label: 'Pause'
}
]
}
],
// Finally, add the slider and use `pad` to position it
// nicely next to the buttons.
sliders: [
{
pad: { l: 130, t: 55 },
currentvalue: {
visible: true,
prefix: 'Year:',
xanchor: 'right',
font: { size: 20, color: '#666' }
},
steps: sliderSteps
}
]
};

const myDiv = html`<div></div>`;
// Create the plot:
Plotly.newPlot(myDiv, {
data: traces,
layout: layout,
frames: frames
});
return myDiv;
}
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data = d3.csv(
"https://raw.githubusercontent.com/plotly/datasets/master/gapminderDataFiveYear.csv",
d3.autoType
)
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md`### External libraries and imports`
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d3 = require("d3@6")
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Plotly = require("plotly.js-dist")
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