Hover Text and Formatting in JavaScript
How to add hover text and format hover values in D3.js-based javascript charts.
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var data = [
{
x: [0, .5, 1, 1.5, 2],
y: [1, 3, 2, 4, 2],
mode: 'markers',
marker: {size:16},
text: ['Text A', 'Text B', 'Text C', 'Text D', 'Text E'],
type: 'scatter'
}
];
var layout = {
title: {
text: 'Hover over the points to see the text'
}
};
Plotly.newPlot('myDiv', data, layout);
// Round x and y hover values by setting hoverformat in layout.xaxis and/or layout.yaxis
// using D3 number formatting ( https://github.com/mbostock/d3/wiki/Formatting )
var N = 40,
x = d3.range(N).map( d3.random.normal() ),
y1 = d3.range(N).map( d3.random.normal() ),
y2 = d3.range(N).map( d3.random.normal() ),
data = [{ x:x, y:y1, type:'scatter', mode:'markers',
marker:{color:'rgba(200, 50, 100, .7)', size:16},
hoverinfo:"x+y"
},
{ x:x, y:y2, type:'scatter', mode:'markers',
marker:{color:'rgba(10, 180, 180, .8)', size:16},
hoverinfo:"x+y"}];
layout = {
hovermode: 'closest',
title: {
text: 'Formatting X & Y Hover Values'
},
xaxis: {
zeroline: false,
hoverformat: '.2f',
title: {
text: 'Rounded: 2 values after the decimal point on hover'
}
},
yaxis: {
zeroline: false,
hoverformat: '.2r',
title: {
text: 'Rounded: 2 significant values on hover'
}
}
};
Plotly.newPlot('myDiv', data, layout);
var data = [
{
type: 'scatter',
mode: 'lines+markers',
x: [1,2,3,4,5],
y: [2.02825,1.63728,6.83839,4.8485,4.73463],
hovertemplate: '<i>Price</i>: $%{y:.2f}' +
'<br><b>X</b>: %{x}<br>' +
'<b>%{text}</b>',
text: ["Text A", "Text B", "Text C", "Text D", "Text E"],
showlegend: false
},
{
x: [1,2,3,4,5],
y: [3.02825,2.63728,4.83839,3.8485,1.73463],
hovertemplate: 'Price: %{y:$.2f}<extra></extra>',
showlegend: false
}
];
var layout = {
title: {
text: "Set hover text with hovertemplate"
},
};
Plotly.newPlot('myDiv', data, layout);
d3.csv(
"https://raw.githubusercontent.com/plotly/datasets/master/job-automation-probability.csv",
function(rows) {
var x = [],
y = [],
s = [],
c = [],
t = [];
for (var i = 0; i < rows.length; i++) {
row = rows[i];
y.push(row["Average annual wage"]);
x.push(row["prob"]);
s.push(row["numbEmployed"]);
c.push(row["education"]);
t.push(row["short occupation"]);
}
Plotly.newPlot('myDiv', {
data: [
{
type: "scatter",
mode: "markers",
x: x,
y: y,
text: t,
marker: { size: s, sizeref: 4000, sizemode: "area" },
transforms: [{ type: "groupby", groups: c }],
hovertemplate:
"<b>%{text}</b><br><br>" +
"%{yaxis.title.text}: %{y:$,.0f}<br>" +
"%{xaxis.title.text}: %{x:.0%}<br>" +
"Number Employed: %{marker.size:,}" +
"<extra></extra>"
}
],
layout: {
title: {
text: "Higher Risk of Job Automation in Lower Paying Jobs"
},
hovermode: "closest",
hoverlabel: { bgcolor: "#FFF" },
legend: { orientation: 'h', y: -0.3 },
xaxis: {
tickformat: ".0%",
title: {
text: "Automation Probability"
},
zeroline: false
},
yaxis: {
title: {
text: "Income"
},
zeroline: false
}
},
config: { responsive: true }
});
}
);