This post describes how to build a line plot with a dropdown button to select group in d3.js. It follows the previous basic line plot. Note that all groups are stored in different column of the .csv input file. This example works with d3.js v4 and v6
update() function is created. It smoothly transforms the chart with the value of another columnselect button is changed.<!DOCTYPE html>
<meta charset="utf-8">
<!-- Load d3.js -->
<script src="https://d3js.org/d3.v4.js"></script>
<!-- Initialize a select button -->
<select id="selectButton"></select>
<!-- Create a div where the graph will take place -->
<div id="my_dataviz"></div>
<!-- Color Scale -->
<script src="https://d3js.org/d3-scale-chromatic.v1.min.js"></script>
<!DOCTYPE html>
<meta charset="utf-8">
<!-- Load d3.js -->
<script src="https://d3js.org/d3.v6.js"></script>
<!-- Initialize a select button -->
<select id="selectButton"></select>
<!-- Create a div where the graph will take place -->
<div id="my_dataviz"></div>
<script>
// set the dimensions and margins of the graph
var margin = {top: 10, right: 100, bottom: 30, left: 30},
width = 460 - margin.left - margin.right,
height = 400 - margin.top - margin.bottom;
// append the svg object to the body of the page
var svg = d3.select("#my_dataviz")
.append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform",
"translate(" + margin.left + "," + margin.top + ")");
//Read the data
d3.csv("https://raw.githubusercontent.com/holtzy/D3-graph-gallery/master/DATA/data_connectedscatter.csv", function(data) {
// List of groups (here I have one group per column)
var allGroup = ["valueA", "valueB", "valueC"]
// add the options to the button
d3.select("#selectButton")
.selectAll('myOptions')
.data(allGroup)
.enter()
.append('option')
.text(function (d) { return d; }) // text showed in the menu
.attr("value", function (d) { return d; }) // corresponding value returned by the button
// A color scale: one color for each group
var myColor = d3.scaleOrdinal()
.domain(allGroup)
.range(d3.schemeSet2);
// Add X axis --> it is a date format
var x = d3.scaleLinear()
.domain([0,10])
.range([ 0, width ]);
svg.append("g")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x));
// Add Y axis
var y = d3.scaleLinear()
.domain( [0,20])
.range([ height, 0 ]);
svg.append("g")
.call(d3.axisLeft(y));
// Initialize line with group a
var line = svg
.append('g')
.append("path")
.datum(data)
.attr("d", d3.line()
.x(function(d) { return x(+d.time) })
.y(function(d) { return y(+d.valueA) })
)
.attr("stroke", function(d){ return myColor("valueA") })
.style("stroke-width", 4)
.style("fill", "none")
// A function that update the chart
function update(selectedGroup) {
// Create new data with the selection?
var dataFilter = data.map(function(d){return {time: d.time, value:d[selectedGroup]} })
// Give these new data to update line
line
.datum(dataFilter)
.transition()
.duration(1000)
.attr("d", d3.line()
.x(function(d) { return x(+d.time) })
.y(function(d) { return y(+d.value) })
)
.attr("stroke", function(d){ return myColor(selectedGroup) })
}
// When the button is changed, run the updateChart function
d3.select("#selectButton").on("change", function(d) {
// recover the option that has been chosen
var selectedOption = d3.select(this).property("value")
// run the updateChart function with this selected option
update(selectedOption)
})
})
</script> <script>
// set the dimensions and margins of the graph
const margin = {top: 10, right: 100, bottom: 30, left: 30},
width = 460 - margin.left - margin.right,
height = 400 - margin.top - margin.bottom;
// append the svg object to the body of the page
const svg = d3.select("#my_dataviz")
.append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", `translate(${margin.left},${margin.top})`);
//Read the data
d3.csv("https://raw.githubusercontent.com/holtzy/D3-graph-gallery/master/DATA/data_connectedscatter.csv").then( function(data) {
// List of groups (here I have one group per column)
const allGroup = ["valueA", "valueB", "valueC"]
// add the options to the button
d3.select("#selectButton")
.selectAll('myOptions')
.data(allGroup)
.enter()
.append('option')
.text(function (d) { return d; }) // text showed in the menu
.attr("value", function (d) { return d; }) // corresponding value returned by the button
// A color scale: one color for each group
const myColor = d3.scaleOrdinal()
.domain(allGroup)
.range(d3.schemeSet2);
// Add X axis --> it is a date format
const x = d3.scaleLinear()
.domain([0,10])
.range([ 0, width ]);
svg.append("g")
.attr("transform", `translate(0, ${height})`)
.call(d3.axisBottom(x));
// Add Y axis
const y = d3.scaleLinear()
.domain( [0,20])
.range([ height, 0 ]);
svg.append("g")
.call(d3.axisLeft(y));
// Initialize line with group a
const line = svg
.append('g')
.append("path")
.datum(data)
.attr("d", d3.line()
.x(function(d) { return x(+d.time) })
.y(function(d) { return y(+d.valueA) })
)
.attr("stroke", function(d){ return myColor("valueA") })
.style("stroke-width", 4)
.style("fill", "none")
// A function that update the chart
function update(selectedGroup) {
// Create new data with the selection?
const dataFilter = data.map(function(d){return {time: d.time, value:d[selectedGroup]} })
// Give these new data to update line
line
.datum(dataFilter)
.transition()
.duration(1000)
.attr("d", d3.line()
.x(function(d) { return x(+d.time) })
.y(function(d) { return y(+d.value) })
)
.attr("stroke", function(d){ return myColor(selectedGroup) })
}
// When the button is changed, run the updateChart function
d3.select("#selectButton").on("change", function(event,d) {
// recover the option that has been chosen
const selectedOption = d3.select(this).property("value")
// run the updateChart function with this selected option
update(selectedOption)
})
})
</script>