This is a simple graph demonstrating filtering. Specifically filtering graph points that fall below 400.
This graph is part of the code samples for the update to the book D3 Tips and Tricks to version 6 of d3.js.
forked from d3noob‘s block: Filtering in v7
<!DOCTYPE html>
<meta charset="utf-8">
<style> /* set the CSS */
.line {
fill: none;
stroke: steelblue;
stroke-width: 2px;
}
</style>
<body>
<!-- load the d3.js library -->
<script src="https://d3js.org/d3.v7.min.js"></script>
<script>
// set the dimensions and margins of the graph
var margin = {top: 20, right: 20, bottom: 30, left: 50},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
// parse the date / time
var parseTime = d3.timeParse("%d-%b-%y");
// set the ranges
var x = d3.scaleTime().range([0, width]);
var y = d3.scaleLinear().range([height, 0]);
// define the line
var valueline = d3.line()
.x(function(d) { return x(d.date); })
.y(function(d) { return y(d.close); });
// append the svg obgect to the body of the page
// appends a 'group' element to 'svg'
// moves the 'group' element to the top left margin
var svg = d3.select("body").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 + ")");
// Get the data
d3.csv("data.csv").then(function(data) {
// format the data
data.forEach(function(d) {
d.date = parseTime(d.date);
d.close = +d.close;
});
// Scale the range of the data
x.domain(d3.extent(data, function(d) { return d.date; }));
y.domain([0, d3.max(data, function(d) { return d.close; })]);
// Add the valueline path.
svg.append("path")
.data([data])
.attr("class", "line")
.attr("d", valueline);
// Add the scatterplot
svg.selectAll("dot")
.data(data)
.enter().append("circle")
.filter(function(d) { return d.close < 400 }) // <== This line
.style("fill", "red") // <== and this one
.attr("r", 5)
.attr("cx", function(d) { return x(d.date); })
.attr("cy", function(d) { return y(d.close); });
// Add the X Axis
svg.append("g")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x));
// Add the Y Axis
svg.append("g")
.call(d3.axisLeft(y));
});
</script>
</body>
let w = createWorker({ iframe: true }, async (w) => {
// set the dimensions and margins of the graph
const margin = { top: 20, right: 20, bottom: 30, left: 50 };
const width = 960 - margin.left - margin.right;
const height = 500 - margin.top - margin.bottom;
// parse the date / time
const parseTime = d3.timeParse("%d-%b-%y");
// set the ranges
const x = d3.scaleTime().range([0, width]);
const y = d3.scaleLinear().range([height, 0]);
// define the line
const valueline = d3
.line()
.x(({ date }) => x(date))
.y(({ close }) => y(close));
// append the svg obgect to the body of the page
// appends a 'group' element to 'svg'
// moves the 'group' element to the top left margin
const svg = d3
.select("body")
.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})`);
// Get the data
d3.csv("data.csv").then((data) => {
// format the data
data.forEach((d) => {
d.date = parseTime(d.date);
d.close = +d.close;
});
// Scale the range of the data
x.domain(d3.extent(data, ({ date }) => date));
y.domain([0, d3.max(data, ({ close }) => close)]);
// Add the valueline path.
svg.append("path").data([data]).attr("class", "line").attr("d", valueline);
// Add the scatterplot
svg
.selectAll("dot")
.data(data)
.enter()
.append("circle")
.filter(({ close }) => close < 400) // <== This line
.style("fill", "red") // <== and this one
.attr("r", 5)
.attr("cx", ({ date }) => x(date))
.attr("cy", ({ close }) => y(close));
// Add the X Axis
svg
.append("g")
.attr("transform", `translate(0,${height})`)
.call(d3.axisBottom(x));
// Add the Y Axis
svg.append("g").call(d3.axisLeft(y));
});
});
date,close
1-May-12,58.13
30-Apr-12,53.98
27-Apr-12,67.00
26-Apr-12,89.70
25-Apr-12,99.00
24-Apr-12,130.28
23-Apr-12,166.70
20-Apr-12,234.98
19-Apr-12,345.44
18-Apr-12,443.34
17-Apr-12,543.70
16-Apr-12,580.13
13-Apr-12,605.23
12-Apr-12,622.77
11-Apr-12,626.20
10-Apr-12,628.44
9-Apr-12,636.23
5-Apr-12,633.68
4-Apr-12,624.31
3-Apr-12,629.32
2-Apr-12,618.63
30-Mar-12,599.55
29-Mar-12,609.86
28-Mar-12,617.62
27-Mar-12,614.48
26-Mar-12,606.98
[
{
"date": "1-May-12",
"close": 58.13
},
{
"date": "30-Apr-12",
"close": 53.98
},
{
"date": "27-Apr-12",
"close": 67
},
{
"date": "26-Apr-12",
"close": 89.7
},
{
"date": "25-Apr-12",
"close": 99
},
{
"date": "24-Apr-12",
"close": 130.28
},
{
"date": "23-Apr-12",
"close": 166.7
},
{
"date": "20-Apr-12",
"close": 234.98
},
{
"date": "19-Apr-12",
"close": 345.44
},
{
"date": "18-Apr-12",
"close": 443.34
},
{
"date": "17-Apr-12",
"close": 543.7
},
{
"date": "16-Apr-12",
"close": 580.13
},
{
"date": "13-Apr-12",
"close": 605.23
},
{
"date": "12-Apr-12",
"close": 622.77
},
{
"date": "11-Apr-12",
"close": 626.2
},
{
"date": "10-Apr-12",
"close": 628.44
},
{
"date": "9-Apr-12",
"close": 636.23
},
{
"date": "5-Apr-12",
"close": 633.68
},
{
"date": "4-Apr-12",
"close": 624.31
},
{
"date": "3-Apr-12",
"close": 629.32
},
{
"date": "2-Apr-12",
"close": 618.63
},
{
"date": "30-Mar-12",
"close": 599.55
},
{
"date": "29-Mar-12",
"close": 609.86
},
{
"date": "28-Mar-12",
"close": 617.62
},
{
"date": "27-Mar-12",
"close": 614.48
},
{
"date": "26-Mar-12",
"close": 606.98
}
]