TLDR: I have an NVD3 graph that shows tick lines all across the axis, but I would like to change it so it only displays on the axis lines if possible.
Here is a live example:
var app = angular.module('plunker', ['nvd3']);
app.controller('MainCtrl', function($scope) {
$scope.options = {
chart: {
type: 'lineChart',
height: 450,
margin : {
top: 20,
right: 20,
bottom: 80,
left: 55
},
x: function(d){ return d.x; },
y: function(d){ return d.y; },
useInteractiveGuideline: true,
xAxis: {
axisLabel: 'Timeline',
tickFormat: function(d) {
return d3.time.format('%B %d')(new Date(d))
},
ticks: 6,
showMaxMin: false
},
yAxis: {
axisLabel: 'Molecular density (kg/m^3)',
tickFormat: function(d){
return d3.format('.02f')(d);
},
axisLabelDistance: -10,
showMaxMin: false
}
}
};
$scope.data = [{"key":"K7 molecules","values":[{"x":1435708800000,"y":8},{"x":1435795200000,"y":9},{"x":1435881600000,"y":8},{"x":1435968000000,"y":8},{"x":1436054400000,"y":9},{"x":1436140800000,"y":9},{"x":1436227200000,"y":8},{"x":1436313600000,"y":8},{"x":1436400000000,"y":9},{"x":1436486400000,"y":9},{"x":1436572800000,"y":7},{"x":1436659200000,"y":8}],"area":true,"color":"#0CB3EE"},{"key":"N41 type C molecules","values":[{"x":1435708800000,"y":8},{"x":1435795200000,"y":7},{"x":1435881600000,"y":8},{"x":1435968000000,"y":9},{"x":1436054400000,"y":7},{"x":1436140800000,"y":9},{"x":1436227200000,"y":8},{"x":1436313600000,"y":9},{"x":1436400000000,"y":9},{"x":1436486400000,"y":9},{"x":1436572800000,"y":9},{"x":1436659200000,"y":8}],"area":true,"color":"#383838"}];
});
<!DOCTYPE html>
<html ng-app="plunker">
<head>
<meta charset="utf-8" />
<title>Angular-nvD3 Line Chart</title>
<script>document.write('<base href="' + document.location + '" />');</script>
<link rel="stylesheet" href="style.css" />
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/nvd3/1.8.1/nv.d3.min.css"/>
<script src="//ajax.googleapis.com/ajax/libs/angularjs/1.3.9/angular.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.6/d3.min.js" charset="utf-8"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/nvd3/1.8.1/nv.d3.min.js"></script>
<script src="https://rawgit.com/krispo/angular-nvd3/v1.0.1/dist/angular-nvd3.js"></script>
<script src="app.js"></script>
</head>
<body ng-controller="MainCtrl">
<nvd3 options="options" data="data" class="with-3d-shadow with-transitions"></nvd3>
</body>
</html>
Is there any way I could make the tick lines appear just on the axes line only? To make it clear, this is what it looks like:
I used a different library to generate the following plot, and I would like the tick lines to appear just on the axis lines like this example instead:
It appears that there is no real way to do this with NVD3 as it does not provide a way to show tick marks on the axis. However, we could add our own tick marks by fetching the chart SVG and then modifying it.
I've attached an example that adds tick marks to X-Axis, and it is basically slightly modified based on this jsfiddle here: http://jsfiddle.net/3r88bgjw
var data;
data = [{
values: [],
}, ];
var i, x;
var prevVal = 3000;
var tickCount = 2000;
for (i = 0; i < tickCount; i++) {
x = 1425096000 + i * 10 * 60; // data points every ten minutes
if (Math.random() < 0.8) { // add some gaps
prevVal += (Math.random() - 0.5) * 500;
if (prevVal <= 0) {
prevVal = Math.random() * 100;
}
data[0].values.push({
x: x * 1000,
y: prevVal
});
}
}
var chart;
nv.addGraph(function() {
chart = nv.models.historicalBarChart();
chart.xScale(d3.time.scale()) // use a time scale instead of plain numbers in order to get nice round default values in the axis
.color(['#68c'])
.useInteractiveGuideline(true) // check out the css that turns the guideline into this nice thing
.margin({
"left": 80,
"right": 50,
"top": 20,
"bottom": 30,
})
.noData("There is no data to display.")
.duration(0);
var tickMultiFormat = d3.time.format.multi([
["%-I:%M%p", function(d) {
return d.getMinutes();
}], // not the beginning of the hour
["%-I%p", function(d) {
return d.getHours();
}], // not midnight
["%b %-d", function(d) {
return d.getDate() != 1;
}], // not the first of the month
["%b %-d", function(d) {
return d.getMonth();
}], // not Jan 1st
["%Y", function() {
return true;
}]
]);
chart.xAxis
.showMaxMin(false)
.tickPadding(10)
.tickFormat(function(d) {
return tickMultiFormat(new Date(d));
});
chart.yAxis
.tickFormat(d3.format(",.0f"));
var svgElem = d3.select('#chart svg');
svgElem
.datum(data)
.transition()
.call(chart);
// make our own x-axis tick marks because NVD3 doesn't provide any
var tickY2 = chart.yAxis.scale().range()[1];
var lineElems = svgElem
.select('.nv-x.nv-axis.nvd3-svg')
.select('.nvd3.nv-wrap.nv-axis')
.select('g')
.selectAll('.tick')
.data(chart.xScale().ticks())
.append('line')
.attr('class', 'x-axis-tick-mark')
.attr('x2', 0)
.attr('y1', tickY2 + 7)
.attr('y2', tickY2)
.attr('stroke-width', 3);
// set up the tooltip to display full dates
var tsFormat = d3.time.format('%b %-d, %Y %I:%M%p');
var contentGenerator = chart.interactiveLayer.tooltip.contentGenerator();
var tooltip = chart.interactiveLayer.tooltip;
tooltip.contentGenerator(function(d) {
d.value = d.series[0].data.x;
return contentGenerator(d);
});
tooltip.headerFormatter(function(d) {
return tsFormat(new Date(d));
});
return chart;
});
<div>Try resizing the panel to see the various types of time labels.</div>
<br>
<div id="chart">
<svg></svg>
</div>
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/nvd3/1.8.4/nv.d3.min.css" />
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.6/d3.min.js" charset="utf-8"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/nvd3/1.8.4/nv.d3.min.js"></script>
Related
The first time I load data, the graph draws correctly, but when I load a different data set, the graph remains unchanged.
I switch between datasets using buttons. The first click always draws the graph correctly, no matter what button I click. But I can't update the graph after it is drawn by clicking on the other button. Any help is very much appreciated,thank you!
const dataA = [
{ population: 50, size: 100 },
{ population: 100, size: 100 },
];
const dataB = [
{ money: 4, currency: "usd" },
{ money: 10, currency: "eur" },
];
function drawChart(dataSet, prop) {
let width = 900;
let height = 200;
let x = d3.scale.ordinal().rangeRoundBands([0, width], 0.9);
let y = d3.scale
.linear()
.domain([dataSet[0][prop] - 39, dataSet[dataSet.length - 1][prop]])
.range([height, 0]);
let chart = d3.select("#chart").attr("width", width).attr("height", height);
let barWidth = width / dataSet.length;
let div = d3.select("body").append("div").attr("class", "tooltip");
let bar = chart
.selectAll("g")
.data(dataSet)
.enter()
.append("g")
.attr("transform", function (d, i) {
return "translate(" + i * barWidth + ",0)";
});
bar
.append("rect")
.attr("y", function (d) {
return y(d[prop]);
})
.attr("height", function (d) {
return height - y(d[prop]);
})
.attr("width", barWidth);
}
function drawDataA() {
drawChart(dataA, "population");
}
function drawDataB() {
drawChart(dataB, "money");
}
d3.select("#dataA").on("click", drawDataA);
d3.select("#dataB").on("click", drawDataB);
<!DOCTYPE html>
<html>
<meta charset="utf-8" />
<head>
<script src="https://d3js.org/d3.v4.js"></script>
</head>
<body>
<div id="app">
<svg class="chart" id="chart"></svg>
<button id="dataA">data1</button>
<button id="dataB">data2</button>
</div>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.17/d3.min.js"></script>
<script src="./index.js"></script>
</body>
</html>
CodePen: https://codepen.io/rfripp2/pen/porpaLL
This is the expected behavior. Let's look at your code:
let bar = chart
.selectAll("g")
.data(dataSet)
.enter()
.append("g")
The select all statement selects all existing elements matching the selector that are children of elements in the selection chart.
The data method binds a new data array to this selection.
The enter method returns a new selection, containing a placeholder for every item in the data array which does not have a corresponding element in the selection.
The append method returns a newly appended child element for every element in the selection it is called on.
Running the code
The first time you call the draw function you have no g elements, so the selection is empty. You bind data to this empty selection. You then use the enter selection. Because there are two data items and no elements in the selection, enter contains two placeholders/elements. You then use append to add those elements.
The second time you call the draw function you have two g elements, so the selection has two elements in it. You bind data to this selection. You then use the enter selection. Because you already have two elements and you only have two data points, the enter selection is empty. As a consequence, append does not create any new elements.
You can see this by using selection.size():
const dataA = [
{ population: 50, size: 100 },
{ population: 100, size: 100 },
];
const dataB = [
{ money: 4, currency: "usd" },
{ money: 10, currency: "eur" },
];
function drawChart(dataSet, prop) {
let width = 900;
let height = 200;
let x = d3.scale.ordinal().rangeRoundBands([0, width], 0.9);
let y = d3.scale
.linear()
.domain([dataSet[0][prop] - 39, dataSet[dataSet.length - 1][prop]])
.range([height, 0]);
let chart = d3.select("#chart").attr("width", width).attr("height", height);
let barWidth = width / dataSet.length;
let div = d3.select("body").append("div").attr("class", "tooltip");
let bar = chart
.selectAll("g")
.data(dataSet)
.enter()
.append("g")
.attr("transform", function (d, i) {
return "translate(" + i * barWidth + ",0)";
});
console.log("The enter selection contains: " + bar.size() + "elements")
bar
.append("rect")
.attr("y", function (d) {
return y(d[prop]);
})
.attr("height", function (d) {
return height - y(d[prop]);
})
.attr("width", barWidth);
}
function drawDataA() {
drawChart(dataA, "population");
}
function drawDataB() {
drawChart(dataB, "money");
}
d3.select("#dataA").on("click", drawDataA);
d3.select("#dataB").on("click", drawDataB);
<!DOCTYPE html>
<html>
<meta charset="utf-8" />
<head>
<script src="https://d3js.org/d3.v4.js"></script>
</head>
<body>
<div id="app">
<svg class="chart" id="chart"></svg>
<button id="dataA">data1</button>
<button id="dataB">data2</button>
</div>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.17/d3.min.js"></script>
<script src="./index.js"></script>
</body>
</html>
Solution
We want to use both the update and the enter selection (if the dataset ever changes in size, we'd likely want the exit selection too). We can use .join() to simplify this, join removes elements in the exit selection (surplus elements which don't have a corresponding data item), and returns the merged enter selection (new elements for surplus data items) and update selection (preexisting elements).
The nesting of your elements into a parent g and child rect is unnecessary here - and requires additional modifications. By positioning the bars directly we avoid the need for the parent g:
const dataA = [
{ population: 50, size: 100 },
{ population: 100, size: 100 },
];
const dataB = [
{ money: 4, currency: "usd" },
{ money: 10, currency: "eur" },
];
function drawChart(dataSet, prop) {
let width = 400;
let height = 200;
let x = d3.scaleBand().range([0, width], 0.9);
let y = d3.scaleLinear()
.domain([dataSet[0][prop] - 39, dataSet[dataSet.length - 1][prop]])
.range([height, 0]);
let chart = d3.select("#chart").attr("width", width).attr("height", height);
let barWidth = width / dataSet.length;
let div = d3.select("body").append("div").attr("class", "tooltip");
let bar = chart
.selectAll("rect")
.data(dataSet)
.join("rect")
.attr("transform", function (d, i) {
return "translate(" + i * barWidth + ",0)";
}).attr("y", function (d) {
return y(d[prop]);
})
.attr("height", function (d) {
return height - y(d[prop]);
})
.attr("width", barWidth);
}
function drawDataA() {
drawChart(dataA, "population");
}
function drawDataB() {
drawChart(dataB, "money");
}
d3.select("#dataA").on("click", drawDataA);
d3.select("#dataB").on("click", drawDataB);
<!DOCTYPE html>
<html>
<meta charset="utf-8" />
<head>
</head>
<body>
<div id="app">
<svg class="chart" id="chart"></svg>
<br />
<button id="dataA">data1</button>
<button id="dataB">data2</button>
</div>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/7.0.0/d3.min.js"></script>
<script src="./index.js"></script>
</body>
</html>
This requires updating your version of D3 from v3 (you are actually using two versions of D3, v3 and v4, both fairly outdated, and both with different method names, actually with different ways of handling the enter selection).
If you wish to use d3v4, then the join method is not available, but we can merge enter and update:
When I say update selection, I'm refering to the initial selection:
// update selection:
let bar = chart
.selectAll("rect")
.data(dataSet);
// enter selection:
bar.enter().append("rect")
const dataA = [
{ population: 50, size: 100 },
{ population: 100, size: 100 },
];
const dataB = [
{ money: 4, currency: "usd" },
{ money: 10, currency: "eur" },
];
function drawChart(dataSet, prop) {
let width = 400;
let height = 200;
let x = d3.scaleBand().range([0, width], 0.9);
let y = d3.scaleLinear()
.domain([dataSet[0][prop] - 39, dataSet[dataSet.length - 1][prop]])
.range([height, 0]);
let chart = d3.select("#chart").attr("width", width).attr("height", height);
let barWidth = width / dataSet.length;
let div = d3.select("body").append("div").attr("class", "tooltip");
let bar = chart
.selectAll("rect")
.data(dataSet);
bar.enter().append("rect")
.merge(bar)
.attr("transform", function (d, i) {
return "translate(" + i * barWidth + ",0)";
}).attr("y", function (d) {
return y(d[prop]);
})
.attr("height", function (d) {
return height - y(d[prop]);
})
.attr("width", barWidth);
}
function drawDataA() {
drawChart(dataA, "population");
}
function drawDataB() {
drawChart(dataB, "money");
}
d3.select("#dataA").on("click", drawDataA);
d3.select("#dataB").on("click", drawDataB);
<!DOCTYPE html>
<html>
<meta charset="utf-8" />
<head>
</head>
<body>
<div id="app">
<svg class="chart" id="chart"></svg>
<br />
<button id="dataA">data1</button>
<button id="dataB">data2</button>
</div>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/4.1.0/d3.min.js"></script>
<script src="./index.js"></script>
</body>
</html>
And lastly, if you wish to keep d3v3 (we are on v7 already), we can rely on an implicit merging of update and enter on enter (modifying the update selection). This "magic" was removed in v4, partly because it was not explicit. To do so we need to break your method chaining so that bar contains the
const dataA = [
{ population: 50, size: 100 },
{ population: 100, size: 100 },
];
const dataB = [
{ money: 4, currency: "usd" },
{ money: 10, currency: "eur" },
];
function drawChart(dataSet, prop) {
let width = 400;
let height = 200;
let x = d3.scale.ordinal().rangeRoundBands([0, width], 0.9);
let y = d3.scale.linear()
.domain([dataSet[0][prop] - 39, dataSet[dataSet.length - 1][prop]])
.range([height, 0]);
let chart = d3.select("#chart").attr("width", width).attr("height", height);
let barWidth = width / dataSet.length;
let div = d3.select("body").append("div").attr("class", "tooltip");
// update selection:
let bar = chart
.selectAll("rect")
.data(dataSet);
// enter selection:
bar.enter().append("rect")
bar.attr("transform", function (d, i) {
return "translate(" + i * barWidth + ",0)";
}).attr("y", function (d) {
return y(d[prop]);
})
.attr("height", function (d) {
return height - y(d[prop]);
})
.attr("width", barWidth);
}
function drawDataA() {
drawChart(dataA, "population");
}
function drawDataB() {
drawChart(dataB, "money");
}
d3.select("#dataA").on("click", drawDataA);
d3.select("#dataB").on("click", drawDataB);
<!DOCTYPE html>
<html>
<meta charset="utf-8" />
<head>
</head>
<body>
<div id="app">
<svg class="chart" id="chart"></svg>
<br />
<button id="dataA">data1</button>
<button id="dataB">data2</button>
</div>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.17/d3.min.js"></script>
<script src="./index.js"></script>
</body>
</html>
Note: d3v4 made changes to method names that break code from v3. This required changes to d3.scale.linear / d3.scale.ordinal in the snippets using v4 and 7 (using merge and join respectively).
I have a project where I need to display a doughnut chart. For every slice in the chart there is a corresponding icon in the legend. This icon should also been shown on the slice itself inside the chart.
I have found a working example online on how to display images on doughnut charts: Working example. I have tried to implement this solution into my own project. The images get loaded in and when I inspect the SVG each path node(slice) contains an image element with the correct image. But the images don't show up on the graph.
This is the code i am running atm. If you have some pointers on how to improve my overall code then you're welcome to do so. I am still new to D3.JS and learning a lot about it at the moment:
<!DOCTYPE html>
<html>
<head>
<title></title>
<script src="https://unpkg.com/vue"></script>
<script src="https://d3js.org/d3.v6.js"></script>
</head>
<body>
<div class="p-3 flex flex-col" id="one">
<div class="w-full flex-1">
<div id="my_dataviz"></div>
</div>
</div>
<script>
new Vue({
el: '#one',
data: {
type: Array,
required: true,
}, mounted() {
// set the dimensions and margins of the graph
var width = 450;
var height = 450;
var margin = 1;
var image_width = 32;
var image_height = 32;
var data = [
{
key: "One",
value: 20,
icon: "http://files.gamebanana.com/img/ico/sprays/4f68c8d10306a.png"
},
{
key: "Two",
value: 30,
icon: "http://files.gamebanana.com/img/ico/sprays/4f68c8d10306a.png"
},
{
key: "Three",
value: 10,
icon: "http://files.gamebanana.com/img/ico/sprays/4f68c8d10306a.png"
},
{
key: "Four",
value: 15,
icon: "http://files.gamebanana.com/img/ico/sprays/4f68c8d10306a.png"
}
]
// The radius of the pieplot is half the width or half the height (smallest one). I subtract a bit of margin.
// append the svg object to the div called 'my_dataviz'
var svg = d3
.select('#my_dataviz')
.append('svg')
.attr('width', width)
.attr('height', height)
.append('g')
.attr(
'transform',
'translate(' + width / 2 + ',' + height / 2 + ')'
);
var radius = Math.min(width, height) / 2 - margin;
// set the color scale
var color = d3
.scaleOrdinal()
.domain(
data.map(function(d) {
return d["key"];
})
)
.range(["#206BF3"]);
// Compute the position of each group on the pie:
var pie = d3.pie().value(function(d) {
return d[1];
});
var data_ready = pie(
data.map(function(d) {
return [d["key"], d["value"], d["icon"]];
})
);
// declare an arc generator function
var arc = d3
.arc()
.outerRadius(100)
.innerRadius(50);
console.log(arc);
// Build the pie chart: Basically, each part of the pie is a path that we build using the arc function.
var paths = svg
.selectAll("whatever")
.data(data_ready)
.enter()
.append("path")
.attr("d", d => {
return arc(d);
})
.attr("fill", function(d) {
return color(d.data[0]);
})
.attr("stroke", "#2D3546")
.style("stroke-width", "2px")
.style("opacity", 0.7);
paths
.append("svg:image")
.attr("transform", function(d) {
var x = arc.centroid(d)[0] - image_width / 2;
var y = arc.centroid(d)[1] - image_height / 2;
return "translate(" + width / 2 + x + "," + height + y + ")";
})
.attr("xlink:href", function(d) {
console.log(d);
return d.data[2];
})
.attr("width", image_width)
.attr("height", image_height);
paths.on("mouseover", e => {
this.pathAnim(radius, d3.select(e.currentTarget), 1);
});
paths.on("mouseout", e => {
var thisPath = d3.select(e.currentTarget);
if (!thisPath.classed("clicked")) {
this.pathAnim(radius, thisPath, 0);
}
});
},
methods: {
pathAnim(radius, path, dir) {
switch (dir) {
case 0:
path
.transition()
.duration(500)
.ease(d3.easeBounce)
.attr(
"d",
d3
.arc()
.innerRadius(100)
.outerRadius(50)
);
path.style("fill", "#206BF3");
break;
case 1:
path.transition().attr(
"d",
d3
.arc()
.innerRadius(50)
.outerRadius(110)
);
path.style("fill", "white");
break;
}
}
}
});
</script>
</body>
</html>
A <path> element cannot contain an <image>. Instead of that, use the data to create <g> elements and append both the <path> and the <image> to them:
<!DOCTYPE html>
<html>
<head>
<title></title>
<script src="https://unpkg.com/vue"></script>
<script src="https://d3js.org/d3.v6.js"></script>
</head>
<body>
<div class="p-3 flex flex-col" id="one">
<div class="w-full flex-1">
<div id="my_dataviz"></div>
</div>
</div>
<script>
new Vue({
el: '#one',
data: {
type: Array,
required: true,
},
mounted() {
// set the dimensions and margins of the graph
var width = 450;
var height = 450;
var margin = 1;
var image_width = 32;
var image_height = 32;
var data = [{
key: "One",
value: 20,
icon: "http://files.gamebanana.com/img/ico/sprays/4f68c8d10306a.png"
},
{
key: "Two",
value: 30,
icon: "http://files.gamebanana.com/img/ico/sprays/4f68c8d10306a.png"
},
{
key: "Three",
value: 10,
icon: "http://files.gamebanana.com/img/ico/sprays/4f68c8d10306a.png"
},
{
key: "Four",
value: 15,
icon: "http://files.gamebanana.com/img/ico/sprays/4f68c8d10306a.png"
}
]
// The radius of the pieplot is half the width or half the height (smallest one). I subtract a bit of margin.
// append the svg object to the div called 'my_dataviz'
var svg = d3
.select('#my_dataviz')
.append('svg')
.attr('width', width)
.attr('height', height)
.append('g')
.attr(
'transform',
'translate(' + width / 2 + ',' + height / 2 + ')'
);
var radius = Math.min(width, height) / 2 - margin;
// set the color scale
var color = d3
.scaleOrdinal()
.domain(
data.map(function(d) {
return d["key"];
})
)
.range(["#206BF3"]);
// Compute the position of each group on the pie:
var pie = d3.pie().value(function(d) {
return d[1];
});
var data_ready = pie(
data.map(function(d) {
return [d["key"], d["value"], d["icon"]];
})
);
// declare an arc generator function
var arc = d3
.arc()
.outerRadius(100)
.innerRadius(50);
// Build the pie chart: Basically, each part of the pie is a path that we build using the arc function.
var g = svg
.selectAll("whatever")
.data(data_ready)
.enter()
.append("g")
.attr("transform", function(d) {
var x = arc.centroid(d)[0] - image_width / 2;
var y = arc.centroid(d)[1] - image_height / 2;
return "translate(" + width / 2 + x + "," + height + y + ")";
});
g.append("path")
.attr("d", d => {
return arc(d);
})
.attr("fill", function(d) {
return color(d.data[0]);
})
.attr("stroke", "#2D3546")
.style("stroke-width", "2px")
.style("opacity", 0.7);
g.append("svg:image")
.attr("transform", function(d) {
var x = arc.centroid(d)[0] - image_width / 2;
var y = arc.centroid(d)[1] - image_height / 2;
return "translate(" + x + "," + y + ")";
})
.attr("xlink:href", function(d) {
return d.data[2];
})
.attr("width", image_width)
.attr("height", image_height);
g.on("mouseover", e => {
this.pathAnim(radius, d3.select(e.currentTarget), 1);
});
g.on("mouseout", e => {
var thisPath = d3.select(e.currentTarget);
if (!thisPath.classed("clicked")) {
this.pathAnim(radius, thisPath, 0);
}
});
},
methods: {
pathAnim(radius, path, dir) {
switch (dir) {
case 0:
path
.transition()
.duration(500)
.ease(d3.easeBounce)
.attr(
"d",
d3
.arc()
.innerRadius(100)
.outerRadius(50)
);
path.style("fill", "#206BF3");
break;
case 1:
path.transition().attr(
"d",
d3
.arc()
.innerRadius(50)
.outerRadius(110)
);
path.style("fill", "white");
break;
}
}
}
});
</script>
</body>
</html>
I've updated #GerardoFurtado's code. I just moved the events to the paths and added pointer-events: none for images. Transitions work well.
g image {
pointer-events: none;
}
<!DOCTYPE html>
<html>
<head>
<title></title>
<script src="https://unpkg.com/vue"></script>
<script src="https://d3js.org/d3.v6.js"></script>
</head>
<body>
<div class="p-3 flex flex-col" id="one">
<div class="w-full flex-1">
<div id="my_dataviz"></div>
</div>
</div>
<script>
new Vue({
el: '#one',
data: {
type: Array,
required: true,
},
mounted() {
// set the dimensions and margins of the graph
var width = 450;
var height = 450;
var margin = 1;
var image_width = 32;
var image_height = 32;
var data = [{
key: "One",
value: 20,
icon: "http://files.gamebanana.com/img/ico/sprays/4f68c8d10306a.png"
},
{
key: "Two",
value: 30,
icon: "http://files.gamebanana.com/img/ico/sprays/4f68c8d10306a.png"
},
{
key: "Three",
value: 10,
icon: "http://files.gamebanana.com/img/ico/sprays/4f68c8d10306a.png"
},
{
key: "Four",
value: 15,
icon: "http://files.gamebanana.com/img/ico/sprays/4f68c8d10306a.png"
}
]
// The radius of the pieplot is half the width or half the height (smallest one). I subtract a bit of margin.
// append the svg object to the div called 'my_dataviz'
var svg = d3
.select('#my_dataviz')
.append('svg')
.attr('width', width)
.attr('height', height)
.append('g')
.attr(
'transform',
'translate(' + width / 2 + ',' + height / 2 + ')'
);
var radius = Math.min(width, height) / 2 - margin;
// set the color scale
var color = d3
.scaleOrdinal()
.domain(
data.map(function(d) {
return d["key"];
})
)
.range(["#206BF3"]);
// Compute the position of each group on the pie:
var pie = d3.pie().value(function(d) {
return d[1];
});
var data_ready = pie(
data.map(function(d) {
return [d["key"], d["value"], d["icon"]];
})
);
// declare an arc generator function
var arc = d3
.arc()
.outerRadius(100)
.innerRadius(50);
// Build the pie chart: Basically, each part of the pie is a path that we build using the arc function.
var g = svg
.selectAll("whatever")
.data(data_ready)
.enter()
.append("g")
/* I commented this lines and nothing changed.
.attr("transform", function(d) {
var x = arc.centroid(d)[0] - image_width / 2;
var y = arc.centroid(d)[1] - image_height / 2;
return "translate(" + width / 2 + x + "," + height + y + ")";
});
*/
g.append("path")
.attr("d", d => {
return arc(d);
})
.attr("fill", function(d) {
return color(d.data[0]);
})
.attr("stroke", "#2D3546")
.style("stroke-width", "2px")
.style("opacity", 0.7)
.on("mouseover", e => {
console.log(this)
this.pathAnim(radius, d3.select(e.currentTarget), 1);
})
.on("mouseout", e => {
var thisPath = d3.select(e.currentTarget);
if (!thisPath.classed("clicked")) {
this.pathAnim(radius, thisPath, 0);
}
});
g.append("svg:image")
.attr("transform", function(d) {
var x = arc.centroid(d)[0] - image_width / 2;
var y = arc.centroid(d)[1] - image_height / 2;
return "translate(" + x + "," + y + ")";
})
.attr("xlink:href", function(d) {
return d.data[2];
})
.attr("width", image_width)
.attr("height", image_height);
},
methods: {
pathAnim(radius, path, dir) {
switch (dir) {
case 0:
path
.transition()
.duration(500)
.ease(d3.easeBounce)
.attr(
"d",
d3
.arc()
.innerRadius(100)
.outerRadius(50)
);
path.style("fill", "#206BF3");
break;
case 1:
path.transition().attr(
"d",
d3
.arc()
.innerRadius(50)
.outerRadius(110)
);
path.style("fill", "white");
break;
}
}
}
});
</script>
</body>
</html>
I've downloaded this visualization: https://vizhub.com/Mithunprom/6f378ad23e3e4a2f99949368f02e3290
If you access the link, you will able to see all source files including their codes.
I am not able to run it through index.html in my browser, nothing shows up inside browser.. I just simply want to get it working.
This is index.html:
<!DOCTYPE html>
<html>
<head>
<title>Making a Bar Chart</title>
<link rel="stylesheet" href="styles.css">
<script src="https://unpkg.com/d3#5.6.0/dist/d3.min.js"></script>
</head>
<body>
<svg width="960" height="500"></svg>
<script src="bundle.js"></script>
</body>
</html>
You need to add the script part and css code from the specified URL. I have also made the required changes needed to accomplish task.
Please find the working example below:
const data = [{
country: 'China',
population: 1415046
},
{
country: 'India',
population: 1354052
},
{
country: 'United States',
population: 326767
},
{
country: 'Indonesia',
population: 266795
},
{
country: 'Brazil',
population: 210868
},
{
country: 'Pakistan',
population: 200814
},
{
country: 'Nigeria',
population: 195875
},
{
country: 'Bangladesh',
population: 166368
},
{
country: 'Russia',
population: 143965
},
{
country: 'Mexico',
population: 130759
},
];
data.forEach(d => {
d.population = +d.population * 1000;
});
const titleText = 'Top 10 Most Populous Countries';
const xAxisLabelText = 'Population';
const svg = d3.select('svg');
const width = +svg.attr('width');
const height = +svg.attr('height');
const render = data => {
const xValue = d => d['population'];
const yValue = d => d.country;
const margin = {
top: 50,
right: 40,
bottom: 77,
left: 180
};
const innerWidth = width - margin.left - margin.right;
const innerHeight = height - margin.top - margin.bottom;
const xScale = d3.scaleLinear()
.domain([0, d3.max(data, xValue)])
.range([0, innerWidth]);
const yScale = d3.scaleBand()
.domain(data.map(yValue))
.range([0, innerHeight])
.padding(0.1);
const g = svg.append('g')
.attr('transform', `translate(${margin.left},${margin.top})`);
const xAxisTickFormat = number =>
d3.format('.3s')(number)
.replace('G', 'B');
const xAxis = d3.axisBottom(xScale)
.tickFormat(xAxisTickFormat)
.tickSize(-innerHeight);
g.append('g')
.call(d3.axisLeft(yScale))
.selectAll('.domain, .tick line')
.remove();
const xAxisG = g.append('g').call(xAxis)
.attr('transform', `translate(0,${innerHeight})`);
xAxisG.select('.domain').remove();
xAxisG.append('text')
.attr('class', 'axis-label')
.attr('y', 65)
.attr('x', innerWidth / 2)
.attr('fill', 'black')
.text(xAxisLabelText);
g.selectAll('rect').data(data)
.enter().append('rect')
.attr('y', d => yScale(yValue(d)))
.attr('width', d => xScale(xValue(d)))
.attr('height', yScale.bandwidth());
g.append('text')
.attr('class', 'title')
.attr('y', -10)
.text(titleText);
};
render(data);
body {
margin: 0px;
overflow: hidden;
}
rect {
fill: steelblue;
}
<!DOCTYPE html>
<html>
<head>
<title>Making a Bar Chart</title>
<link rel="stylesheet" href="styles.css">
<script src="https://unpkg.com/d3#5.6.0/dist/d3.min.js"></script>
</head>
<body>
<svg width="960" height="500"></svg>
<script src="bundle.js"></script>
</body>
</html>
I've implementing barchart to denote my result set. I am trying to create this design using c3js. I referred the documentation but have not getting the shaded design. Please someone guide me to solve this.
My Code Snippet is,
var chart = c3.generate({
bindto: '#chart',
size : {
width: 600,
height: 200
},
data: {
columns: [
["data1", 40, 20, 20, 20],
["data2", 20, 10, 30, 30]
],
type: 'bar',
groups: [
['data1', 'data2']
],
order: null,
labels: {
format: function(v, id, i, j) {
return v;
}
}
},
bar: {
space: 0.2,
width: {
ratio: 0.2 // this makes bar width 50% of length between ticks
}
},
});
<link href="https://cdnjs.cloudflare.com/ajax/libs/c3/0.3.0/c3.min.css" rel="stylesheet" />
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.11/d3.min.js"></script>
<script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.1/jquery.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/c3/0.3.0/c3.min.js"></script>
<div id="chart"></div>
My requirement is to design like below image in bars in barchart,
Thanks
The solution in the snippet introduces some d3 SVG manipulation which puts a region over the bars of each targeted series. The region has a hatched grey line and a semi-transparent fill. The function to do this is written to be portable i.e. outside of the C3 construtor params, and is invoked by the onrendered c3 event.
The doClone() function duplicates nodes in place which is useful to know, and the creation of the pattern and use as a colour via 'url(#patternid)' is also a potentially useful technique.
Also available at https://codepen.io/JEE42/pen/yRWbvq
function doClone(node){ // clone the given node
return d3.select(node.parentNode.insertBefore(node.cloneNode(true), node.nextSibling));
}
function hatchBars(hatchTargets){ // Place a hatching pattern over the target bars.
for (var i = 0; i < hatchTargets.length; i = i + 1){
d3.select('.c3-bars-' + hatchTargets[i]).each(function(d, i){
d3.select(this).selectAll('path').each(function(d, i){
var node = d3.select(this).node();
var daClone = doClone(node);
daClone
.style('fill', 'url(#hash4_4)')
.style('stroke', 'url(#hash4_4)');
});
})
}
}
c3.chart.internal.fn.afterInit = function () {
d3.select('defs')
.append('pattern')
.attr('id', "hash4_4") // use id to get handle in a moment
.attr('width', 14)
.attr('height', 14)
.attr('patternUnits', "userSpaceOnUse")
.attr('patternTransform', "rotate(45 0 0 )")
.append("rect")
.attr('width', 14)
.attr('height', 14)
.attr('fill', '#00000000') // transparent background
d3.select('#hash4_4') // get the pattenn
.append('line') // add a line
.attr('y2', 14)
.style('stroke', "#00000044") // semi-transparent bars
.attr('stroke-width', 14)
};
//
// Standard C3 chart render with one twist which is the onrendered event call at the end.
//
var chart = c3.generate({
bindto: '#chart',
data: {
columns: [
['data1', -30, 200, 200, 400, -150, 250],
['data2', 130, 100, -100, 200, -150, 50],
],
type: 'bar',
groups: [
['data1', 'data2']
]
},
grid: {
y: {
lines: [{value:0}]
}
},
onrendered: function () { // execute after drawn
hatchBars(['data2']); // Place a hatching pattern over the target bars.
}
});
<link href="https://cdnjs.cloudflare.com/ajax/libs/c3/0.6.7/c3.min.css" rel="stylesheet"/>
<script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.1/jquery.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/5.7.0/d3.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/c3/0.6.7/c3.min.js"></script>
<div class='chart-wrapper'>
<div class='chat' id="chart"></div>
</div>
Puzzling problem:
My d3 chart, which has a day selector (right arrow) works in a stand-alone file. By "works" I mean when you click on the right arrow it advances through the data array and the chart bars update.
However, inside a jquery mobile multipage document, it won't work in Firefox. In jqm multipage it does work in Chrome (linux and windows) and IE.
Briefly, you click on the "chart page," then click on the right arrow to view the data for each day.
Don't worry about the arrow code, I have to fix it. What worries me is that this doesn't work in Firefox.
Here is the fiddle. Try it in those browsers.
html:
<!-- Start of first page: #one -->
<div data-role='page' id='one'>
<div data-role='header'>
<h1>Multi-page</h1>
</div>
<!-- /header -->
<div data-role='content'>
<h2>One</h2>
<p>I have an <code>id</code> of 'one' on my page container. I'm first in the source order so I'm shown when the page loads.</p>
<h3>Show internal pages:</h3>
<p><a href='#snapshot-chart-page' data-role='button'>Chart page</a></p>
</div>
<!-- /content -->
<div data-role='footer' data-theme='d'>
<h4>Page Footer</h4>
</div>
<!-- /footer -->
</div>
<!-- /page one -->
<div data-role='page' id='snapshot-chart-page' data-ajax='false'>
<div data-role='header' style='background:#82ca46;'>
<a href='#nav-panel' data-icon='bars' data-iconpos='notext' class='ui-nodisc-icon' style='background-color: transparent;'>Menu</a>
<div align='center' style='vertical-align:top;'>
<h1>Page title
</h1></div>
<a href='#add-form' data-icon='calendar' data-iconpos='notext' class='ui-nodisc-icon' style='background-color: transparent;'>Add</a>
</div>
<!-- /header -->
<div role='main' class='ui-content'>
<div style='width:100%; margin: 0;padding: 0; overflow: auto;'>
<form style='display: inline-block;
position: relative;
vertical-align: middle;
margin-right: 6px;'>
<input type='button' data-role='button' data-icon='arrow-l' data-iconpos='notext' class='ui-nodisc-icon previous-next-period left-previous select-custom-14' style='background-color: transparent;' field='quantity'>
<input type='text' name='quantity' value='0' class='qty' />
<input type='button' data-role='button' data-icon='arrow-r' data-iconpos='notext' class='ui-nodisc-icon previous-next-period right-next select-custom-14' style='background-color: transparent;' field='quantity'>
</form>
<table data-role='table' data-transition='fade' class='ghg-tables'>
<caption class='barchart_title tabletitle'></caption>
<thead>
</thead>
</table>
<div class='chart-here'></div>
</div>
</div>
<!-- /main -->
</div>
<!-- /snapshot-chart-page -->
js:
(function() {
var margin = {
top: 20,
right: 20,
bottom: 40,
left: 80
},
width = 340 - margin.left - margin.right,
height = 250 - margin.top - margin.bottom;
var x = d3.scale.ordinal()
.rangeRoundBands([0, width], .1, 1);
var y = d3.scale.linear()
.range([height, 0]);
var xAxis = d3.svg.axis()
.scale(x)
.orient('bottom');
var svg = d3.select('.chart-here').append('svg')
.attr('viewBox', '0 0 340 250')
.attr('preserveAspectRatio', 'xMinYMin meet')
.attr('width', width + margin.left + margin.right)
.attr('height', height + margin.top + margin.bottom)
.append('g')
.attr('transform', 'translate(' + margin.left / 1.5 + ',' + margin.top / 1.5 + ')');
var yAxis = d3.svg.axis()
.scale(y)
.orient('left')
.ticks(5)
.outerTickSize(0)
.tickFormat(d3.format(',.3s'));
var barchart_i = 0;
var arr1 = [{
"period": "day",
"allcars_title": "Mileage by car, on Tuesday, March 01 2016. Total: 454.95M mi.",
"car": [{
"Chevvy": 33733000
}, {
"Ford": 32633000
}, {
"Honda": 119182000
}, {
"Tesla": 614000
}, {
"Audi": 268292000
}, {
"Hummer": 493000
}]
}, {
"period": "day",
"allcars_title": "Mileage by car, on Wednesday, March 02 2016. Total: 457.26M mi.",
"car": [{
"Chevvy": 23052000
}, {
"Ford": 44630000
}, {
"Honda": 121635000
}, {
"Tesla": 2599000
}, {
"Audi": 264247000
}, {
"Hummer": 1100000
}]
}, {
"period": "day",
"allcars_title": "Mileage by car, on Thursday, March 03 2016. Total: 452.96M mi.",
"car": [{
"Chevvy": 8577000
}, {
"Ford": 54172000
}, {
"Honda": 121661000
}, {
"Tesla": 1975000
}, {
"Audi": 265483000
}, {
"Hummer": 1089000
}]
}];
var period_grain = arr1[0].period;
var allcars_hour = arr1[barchart_i];
var car = allcars_hour.car;
var allcars_dash_title = allcars_hour.allcars_title;
jQuery('.barchart_title').text(allcars_dash_title);
var newobj = [];
for (var allcars_hourx1 = 0; allcars_hourx1 < car.length; allcars_hourx1++) {
var xx = car[allcars_hourx1];
for (var value in xx) {
var chartvar = newobj.push({
car: value,
miles: xx[value]
});
var data = newobj;
data = data.sort(function(a, b) {
return b.miles - a.miles;
});
}
}
x.domain(data.map(function(d) {
return d.car;
}));
if (period_grain == 'hour') {
var staticMax = 13000000;
}
if (period_grain == 'day') {
var staticMax = 300000000;
}
if (period_grain == 'month') {
var staticMax = 2000000;
}
if (period_grain == 'year') {
var staticMax = 35000000;
}
y.domain([0, d3.max(data, function(d) {
return d.miles > staticMax ? d.miles : staticMax;
})]);
svg.append('g')
.attr('class', 'y axis')
.call(yAxis)
.append('text')
.attr('y', 6)
.attr('dy', '.71em')
.style('text-anchor', 'start');
var changeHour = function() {
var dataJoin = svg.selectAll('.bar')
.data(data, function(d) {
return d.car;
});
svg.selectAll('.y.axis')
.call(yAxis);
xtext = svg.append('g')
.attr('class', 'x axis')
.attr('transform', 'translate(-20,' + height + ')') /*move tick text so it aligns with rects*/
.call(xAxis)
/* possible new elements, fired first time, set non-data dependent attributes*/
dataJoin
.enter()
.append('rect')
.attr('class', 'bar')
.attr('transform', 'translate(-20)') /*move rects closer to Y axis*/
/* changes to existing elements (now including the newly appended elements from above) which depend on data values (d)*/
dataJoin
.attr('x', function(d) {
return x(d.car);
})
.attr('width', x.rangeBand() * 1)
.attr('y', function(d) {
return y(d.miles);
})
.attr('height', function(d) {
return height - y(d.miles);
})
.style('fill', function(d) {
if (d.car == 'Audi' || d.car == 'Chevvy' || d.car == 'Honda' || d.car == 'Hummer') {
return 'green';
} else {
return '#404040';
}
})
xtext.selectAll('text')
.attr('transform', function(d) {
return 'translate(' + this.getBBox().height * 50 + ',' + this.getBBox().height + ')rotate(0)';
});
dataJoin.exit().remove();
}
changeHour();
//function to allow user to click arrows to view next/previous period_grain
// This button will increment the value
$('.right-next').click(function(e) {
// Stop acting like a button
e.preventDefault();
// Get the field name
fieldName = $(this).attr('field');
// Get its current value
barchart_i = parseInt($('input[name=' + fieldName + ']').val());
// If is not undefined
if (!isNaN(barchart_i)) {
// Increment
$('input[name=' + fieldName + ']').val(barchart_i + 1);
} else {
// Otherwise set to 0
$('input[name=' + fieldName + ']').val(0);
}
incrementHour();
});
// This button will decrement the value till 0
$('.left-previous').click(function(e) {
// Stop acting like a button
e.preventDefault();
// Get the field name
fieldName = $(this).attr('field');
// Get its current value
barchart_i = parseInt($('input[name=' + fieldName + ']').val());
// If it isn't undefined or if it is greater than 0
if (!isNaN(barchart_i) && barchart_i > 0) {
// Decrement one
$('input[name=' + fieldName + ']').val(barchart_i - 1);
} else {
// Otherwise set to 0
$('input[name=' + fieldName + ']').val(0);
}
incrementHour();
});
incrementHour = function() {
allcars_hour = arr1[barchart_i];
var car = allcars_hour.car;
var allcars_dash_title = allcars_hour.allcars_title;
var newobj = [];
for (var allcars_hourx1 = 0; allcars_hourx1 < car.length; allcars_hourx1++) {
var xx = car[allcars_hourx1];
for (var value in xx) {
var chartvar = newobj.push({
car: value,
miles: xx[value]
});
}
}
data = newobj;
console.log('data is ' + data);
data = data.sort(function(a, b) {
return b.miles - a.miles;
});
x.domain(data.map(function(d) {
return d.car;
}));
y.domain([0, d3.max(data, function(d) {
return d.miles > staticMax ? d.miles : staticMax;
})]);
jQuery('.barchart_title').text(allcars_dash_title);
changeHour();
};
})();
This is bizarre. I have researched this extensively, and cannot find anything that relates to it.
Has anybody else encountered this? If so, are there any ideas how to fix it?