Related
I'm trying to create a kind of scatterplot with the following data.
array = [{
key: "6S",
values: {3: [{Id: "1234a"}, {Id: "1234b"}]}
},
{
key: "7S",
values: {5: [{Id: "1534a"}],4: [{Id: "1534a"}]}
}
]
The x axis represents the "key" value ("6S" and "7S" in the array) and the y axis the key from the values ("3", "5", "4"..). x is defined as scalBand and y as scaleLinear. If the key from the values has 2 objects (in our example "3" has 2 objects) I want to add 2 points side by side.
view1.selectAll("circle")
.data(array)
.enter()
.append("circle")
.attr("r", 2.5)
.attr("cx", function(d) { return x1(d.key); }) //must return something else
.attr("width", x1.bandwidth())
.attr("cy", function(d) { return y1(Object.keys(d.values))})
.attr("height", function(d) {return height-y1(Object.keys(d.values))});
The domain from x is:
x.domain(data.map(function(d) {
return d.key;
}));
from y:
y1.domain([0, 200]);
Any idea how I could return the x-axis position?
I was able to solve this by doing the following.
Change the structure of the data and create separate data points by splitting the values(the values key in your object) into a different array newArray.
Create an array of the cx and cy attributes of your circles to check if there are any overlaps. If yes, shift the cx of the overlapping circle by say 10px.
Here's the fiddle:
var svgWidth = 1300,
svgHeight = 600;
var width = 600,
height = 250;
var margin2 = {
top: 10,
right: 20,
bottom: 20,
left: 40
};
//Create SVG
var svg = d3.select("body")
.append("svg")
.attr("width", svgWidth)
.attr("height", svgHeight);
var view1 = svg.append("g")
.attr("class", "view1")
.attr("transform", "translate(" + margin2.left + "," + margin2.top + ")");
var array = [{
key: "6S",
values: {
3: [{
Id: "1234a"
}, {
Id: "1234b"
}]
}
},
{
key: "7S",
values: {
5: [{
Id: "1534a"
}],
4: [{
Id: "1534a"
}]
}
}
];
var newArray = [];
array.forEach(function(d) {
if (Object.keys(d.values).length > 1) {
for (i in Object.keys(d.values)) {
var val = {}
val["key"] = d.key
val['values'] = {}
val['values'][Object.keys(d.values)[i]] = d.values[Object.keys(d.values)[i]]
newArray.push(val)
}
} else {
if (d.values[Object.keys(d.values)[0]].length > 1) {
for (i in d.values[Object.keys(d.values)[0]]) {
var val = {}
val["key"] = d.key
val['values'] = {}
val['values'][Object.keys(d.values)[0]] = [d.values[Object.keys(d.values)[0]][i]]
newArray.push(val)
}
} else {
newArray.push(d)
}
}
});
var cxList = [];
var x1 = d3.scaleBand().range([0, width]).padding(0.2),
y1 = d3.scaleLinear().range([height, 0]);
var xAxis1 = d3.axisBottom(x1),
yAxis1 = d3.axisLeft(y1);
x1.domain(newArray.map(function(d) {
return d.key;
}));
y1.domain([0, 10]);
//Add the "points"
view1.selectAll("circle")
.data(newArray)
.enter()
.append("circle")
.attr("class", "bar2")
.attr("r", 2.5)
.attr("cx", function(d) {
if (cxList.indexOf(x1(d.key) + '-' + y1(Object.keys(d.values))) > -1) {
cxList.push((x1(d.key) + 10) + '-' + y1(Object.keys(d.values)));
return x1(d.key) + 10;
} else {
cxList.push(x1(d.key) + '-' + y1(Object.keys(d.values)));
return x1(d.key);
}
})
.attr("width", x1.bandwidth())
.attr("cy", function(d) {
return y1(Object.keys(d.values))
})
.attr("height", function(d) {
return height - y1(Object.keys(d.values))
});
//Add x Axis & rotate text
view1.append("g")
.attr("transform", "translate(0," + height + ")")
.call(xAxis1)
.selectAll("text")
.attr("x", 2.5)
.attr("y", 5)
.attr("transform", "rotate(25)")
.style("text-anchor", "start");
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/4.13.0/d3.min.js"></script>
<style>
body {
font: 11px sans-serif;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.dot {
stroke: #000;
}
.tooltip {
position: absolute;
width: 200px;
height: 28px;
pointer-events: none;
}
</style>
<body>
<svg width='500' height='500'></svg>
</body>
The code you provided still has some stuff missing. The circles and the axis look a little off in my code but should work fine in yours.
Trying to implement border for selected bar in d3 stack bar chart. Here the first bar's top border goes behind second bar a little bit. How to avoid this?
var svg, height, width, margin, parentWidth, parentHeight;
// container size
parentWidth = 700;
parentHeight = 500;
margin = {top: 50, right: 20, bottom: 35, left: 30};
width = parentWidth - margin.left - margin.right;
height = parentHeight - margin.top - margin.bottom;
var selectedSection = window.sessionStorage.getItem('selectedSection');
// data
var dataset = [{"label":"DEC","Set Up":{"count":12,"id":1,"label":"Set Up","year":"2016","graphType":"setup"},"Not Set Up":{"count":12,"id":0,"label":"Not Set Up","year":"2016","graphType":"setup"}},{"label":"JAN","Set Up":{"count":6,"id":1,"label":"Set Up","year":"2017","graphType":"setup"},"Not Set Up":{"count":21,"id":0,"label":"Not Set Up","year":"2017","graphType":"setup"}},{"label":"FEB","Set Up":{"count":1,"id":1,"label":"Set Up","year":"2017","graphType":"setup"},"Not Set Up":{"count":2,"id":0,"label":"Not Set Up","year":"2017","graphType":"setup"}},{"label":"MAR","Set Up":{"count":0,"id":1,"label":"Set Up","year":"2017","graphType":"setup"},"Not Set Up":{"count":0,"id":0,"label":"Not Set Up","year":"2017","graphType":"setup"}},{"label":"APR","Set Up":{"count":0,"id":1,"label":"Set Up","year":"2017","graphType":"setup"},"Not Set Up":{"count":0,"id":0,"label":"Not Set Up","year":"2017","graphType":"setup"}}];
// x cord
var x = d3.scale.ordinal()
.rangeRoundBands([0, width], 0.2);
// color helper
var colorRange = d3.scale.category20();
var color = d3.scale.ordinal()
.range(colorRange.range());
// x axis
var xAxis = d3.svg.axis()
.scale(x)
.orient('bottom');
var colors = ['#50BEE9', '#30738C'];
// Set SVG
svg = d3.select('#chart')
.append('svg')
.attr('width', width + margin.left + margin.right)
.attr('height', height + margin.top + margin.bottom )
.attr('class', 'setup')
.append('g')
.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')');
color.domain(d3.keys(dataset[0]).filter(function(key) { return key !== 'label'; }));
dataset.forEach(function(d) {
var y0 = 0;
d.values = color.domain().map(function(name) {
return {
name: name,
y0: y0,
y1: y0 += +d[name].count,
patientStatus:d[name].id,
graphType:d[name].graphType,
fromDate:{
month:d.label,
year:d[name].year
},
toDate:{
month:d.label,
year:d[name].year
}
};
});
d.total = d.values[d.values.length - 1].y1;
});
var y = d3.scale.linear()
.domain([0, d3.max(dataset, function(d) {
return d.total;
})])
.range([height, 0]);
var ticks = y.ticks(),
lastTick = ticks[ticks.length-1];
var newLastTick = lastTick + (ticks[1] - ticks[0]);
if (lastTick<y.domain()[1]){
ticks.push(lastTick + (ticks[1] - ticks[0]));
}
// adjust domain for further value
y.domain([y.domain()[0], newLastTick]);
// y axis
var yAxis = d3.svg.axis()
.scale(y)
.orient('left')
.tickSize(-width, 0, 0)
.tickFormat(d3.format('d'))
.tickValues(ticks);
x.domain(dataset.map(function(d) { return d.label; }));
y.domain([0, d3.max(dataset, function(d) { return d.total; })]);
svg.append('g')
.attr('class', 'x axis')
.attr('transform', 'translate(0,' + height + ')')
.call(xAxis);
svg.append('g')
.attr('class', 'y axis')
.call(yAxis);
var bar = svg.selectAll('.label')
.data(dataset)
.enter().append('g')
.attr('class', 'g')
.attr('id', function(d, i) {
return i;
})
.attr('transform', function(d) { return 'translate(' + x(d.label) + ',0)'; });
var barEnter = bar.selectAll('rect')
.data(function(d) { return d.values; })
.enter();
barEnter.append('rect')
.attr('width', x.rangeBand())
.attr('y', function(d) {
return y(d.y1);
})
.attr('class', function(d, i){
return 'bar';
})
.attr('height', function(d) { return y(d.y0) - y(d.y1); })
.style('fill', function(d,i) { return colors[i]; })
.on('click', function(d, i) {
d3.selectAll('.bar').classed('selected', false);
d3.select(this)
.classed('bar selected', true);
});
barEnter.append('text')
.text(function(d) {
var calcH = y(d.y0) - y(d.y1);
var inText = (d.y1-d.y0);
if(calcH >= 20) {
return inText;
} else {
return '';
}
})
.attr('class','inner-text')
.attr('y', function(d) { return y(d.y1)+(y(d.y0) - y(d.y1))/2 + 5; })
.attr('x', function(){
return (x.rangeBand()/2) - 10;
});
svg
.select('.y')
.selectAll('.tick')
.filter(function (d) {
return d % 1 !== 0;
})
.style('display','none');
svg
.select('.y')
.selectAll('.tick')
.filter(function (d) {
return d === 0;
})
.select('text')
.style('display','none');
JSFiddle
JSFiddle with d3 v4
In a SVG, just like a real painter putting ink to a white canvas, the element that is painted last stays on top.
Right now, the behaviour you're seeing is the expected one, because each stacked bar (rectangle) is in a different <g> element, and the groups, of course, have a given order in the SVG structure.
The solution involves just one line:
d3.select(this.parentNode).raise();
What this line does is selecting the group of the clicked rectangle and raising it (that is, moving it down in the DOM tree), so that group will be on top of all others. According to the API, raise():
Re-inserts each selected element, in order, as the last child of its parent. (emphasis mine)
"Moving down", "be on top" and "be the last child" may be a bit confusing and seem contradictory, but here is the explanation. Given this SVG structure:
<svg>
<foo></foo>
<bar></bar>
<baz></baz>
</svg>
<baz>, being the last element, is the one painted last, and it is the element visually on the top in the SVG. So, raising an element means moving it down in the SVG tree structure, but moving it up visually speaking.
Here is your updated fiddle: https://jsfiddle.net/86Lgaupt/
PS: I increased the stroke-width just to make visibly clear that the clicked rectangle is now on top.
Tag:
<div id='stacked-bar'></div>
Script:
var initStackedBarChart = {
draw: function(config) {
me = this,
domEle = config.element,
stackKey = config.key,
data = config.data,
margin = {top: 20, right: 20, bottom: 30, left: 50},
parseDate = d3.timeParse("%m/%Y"),
width = 550 - margin.left - margin.right,
height = 400 - margin.top - margin.bottom,
xScale = d3.scaleBand().range([0, width]).padding(0.1),
yScale = d3.scaleLinear().range([height, 0]),
color = d3.scaleOrdinal(d3.schemeCategory20),
xAxis = d3.axisBottom(xScale).tickFormat(d3.timeFormat("%b")),
yAxis = d3.axisLeft(yScale),
svg = d3.select("#"+domEle).append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top+10 + margin.bottom+10)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var stack = d3.stack()
.keys(stackKey)
.order(d3.stackOrderNone)
.offset(d3.stackOffsetNone);
var layers= stack(data);
data.sort(function(a, b) { return b.total - a.total; });
xScale.domain(data.map(function(d) { return parseDate(d.date); }));
yScale.domain([0, d3.max(layers[layers.length - 1], function(d) { return d[0] + d[1]; }) ]).nice();
var layer = svg.selectAll(".layer")
.data(layers)
.enter().append("g")
.attr("class", "layer")
.style("fill", function(d, i) { return color(i); });
layer.selectAll("rect")
.data(function(d) { return d; })
.enter().append("rect")
.attr('class', 'bar')
.attr("x", function(d) { return xScale(parseDate(d.data.date)); })
.attr("y", function(d) { return yScale(d[1]); })
.attr("height", function(d) { return yScale(d[0]) - yScale(d[1]) -1; })
.attr("width", xScale.bandwidth())
.on('click', function(d, i) {
d3.selectAll('.bar').classed('selected', false);
d3.select(this).classed('selected', true);
});
svg.append("g")
.attr("class", "axis axis--x")
.attr("transform", "translate(0," + (height+5) + ")")
.call(xAxis);
svg.append("g")
.attr("class", "axis axis--y")
.attr("transform", "translate(0,0)")
.call(yAxis);
}
}
var data = [
{"date":"4/1854","total":45,"disease":12,"wounds":14,"other":25},
{"date":"5/1854","total":23,"disease":12,"wounds":0,"other":9},
{"date":"6/1854","total":38,"disease":11,"wounds":0,"other":6},
{"date":"7/1854","total":26,"disease":11,"wounds":8,"other":7}
];
var key = ["wounds", "other", "disease"];
initStackedBarChart.draw({
data: data,
key: key,
element: 'stacked-bar'
});
Css:
.axis text {
font: 10px sans-serif;
}
.axis line,
.axis path {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.axis--x path {
display: none;
}
.path-line {
fill: none;
stroke: yellow;
stroke-width: 1.5px;
}
svg {
background: #f0f0f0;
}
.selected{
stroke:#333;
stroke-width:2;
}
I'm trying to figure out how to get two d3 graphs onto the same page with one on the left and one on the right. However, what I'm getting is this.
This is my html file.
<!DOCTYPE html>
<meta charset="utf-8">
<style>
svg {
font: 10px sans-serif;
}
.polyline path {
fill: none;
stroke: #666;
shape-rendering: crispEdges;
}
.axis line,
.axis path {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.axis text {
text-shadow: 0 1px 0 #fff, 1px 0 0 #fff, 0 -1px 0 #fff, -1px 0 0 #fff;
cursor: move;
}
.xaxis text {
font: 10px sans-serif;
}
.yaxis text {
font: 10px sans-serif;
}
.xaxis path,
.xaxis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.yaxis path,
.yaxis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
</style>
<body>
<svg class="chart"></svg>
<script src="//d3js.org/d3.v3.min.js"></script>
<script src = "project3.js">//https://my.up.ist.psu.edu/lng5099/project3.html </script>
</body>
</html>
This is my js file.
(function() {
var margin = {top: 20, right: 30, bottom: 30, left: 40},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var x = d3.scale.ordinal().rangePoints([0, width], 1),
y = {};
var axis = d3.svg.axis().orient("left");
var line = d3.svg.line() //define a function to convert points into a polyline
.x(function(d) { return d.x; })
.y(function(d) { return d.y; })
.interpolate("linear");//line style. you can try "cardinal".
var chart = d3.select(".chart")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var cars=[];
d3.csv("cars.csv", type, function(error, data) {
cars = data;
drawPC();
});
function drawPC() {
// Extract the list of dimensions and create a scale for each.
for (var dim in cars[0]) {
if (dim != "name") {
y[dim] = d3.scale.linear()
.domain([d3.min(cars, function(d) { return +d[dim]; }), d3.max(cars, function(d) { return +d[dim]; })])
.range([height,0]);
}
}
x.domain(dimensions = d3.keys(cars[0]).filter(function(d) { return d != "name";}));
//draw polylines
for (var i=1; i< cars.length; i++) { //for each car
//prepare the coordinates for a polyline
var lineData = []; //initialize an array for coordinates of a polyline
for (var prop in cars[0]) { //get each dimension
if (prop != "name" ) { //skip the name dimension
var point = {}; //initialize a coordinate object
var val = cars[i][prop]; //obtain the value of a car in a dimension
point['x'] = x(prop); //x value: mapping the dimension
point['y'] = y[prop](val);//y value: mapping the value in that dimension
lineData.push(point); //add the object into the array
}
}
//draw a polyline based on the coordindates
chart.append("g")
.attr("class", "polyline")
.append("path") // a path shape
.attr("d", line(lineData)); //line() is a function to turn coordinates into SVG commands
}
//next: draw individual dimension lines
//position dimension lines appropriately
var g = chart.selectAll(".dimension")
.data(dimensions)
.enter().append("g")
.attr("class", "dimension")
.attr("transform", function(d) { return "translate(" + x(d) + ")"; }); //translate each axis
// Add an axis and title.
g.append("g")
.attr("class", "axis")
.each(function(d) { d3.select(this).call(axis.scale(y[d])); })
.append("text")
.style("text-anchor", "middle")
.attr("y", -9)
.text(function(d) { return d; });
};
//this function coerces numerical data to numbers
function type(d) {
d.economy = +d.economy; // coerce to number
d.displacement = +d.displacement; // coerce to number
d.power = +d.power; // coerce to number
d.weight = +d.weight; // coerce to number
d.year = +d.year;
return d;
}
})();
(function() {
var margin = {top: 20, right: 30, bottom: 30, left: 40},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var x = d3.scale.linear().range([50, width]),
y = d3.scale.linear().range([height-20,0]);
var chart = d3.select(".chart")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var xAxis = d3.svg.axis().scale(x).orient("bottom");
var yAxis = d3.svg.axis().scale(y).orient("left");
var cars=[];
d3.csv("cars.csv", type, function(error, data) {
cars = data;
drawXY();
});
function drawXY(){
x.domain([d3.min(cars, function(d) { return d.year; }), d3.max(cars, function(d) { return d.year; })]);
y.domain([d3.min(cars, function(d) { return d.power; }), d3.max(cars, function(d) { return d.power; })]);
var yPos = height -20;
chart.append("g")
.attr("class", "xaxis")
.attr("transform", "translate(0," + yPos + ")")
.call(xAxis);
chart.append("g")
.attr("class", "yaxis")
.attr("transform", "translate(50,0)")
.call(yAxis);
chart.selectAll(".dot")
.data(cars)
.enter().append("circle")
.attr("class", "dot")
.attr("cx", function(d) { return x(d.year); })
.attr("cy", function(d) { return y(d.power); })
.attr("r", 3);
}
d3.selectAll("circle").data(cars).enter()
.append("circle")
.classed("circle", true)
.on("mouseover", function() { d3.select(d3.event.target).classed("highlight", true); })
.on("mouseout", function() { d3.select(d3.event.target).classed("highlight", false); });
function type(d) {
d.economy = +d.economy; // coerce to number
d.displacement = +d.displacement; // coerce to number
d.power = +d.power; // coerce to number
d.weight = +d.weight; // coerce to number
d.year = +d.year;
return d;
}
})();
Both are displaying, but I'm not sure how set it so that they position properly. Please help.
Figured it out there was an issue with the positioning of my margins, width and height. There is the java code for anyone who needs the help.
(function() {
var margin = {top: 20, right: 30, bottom: 30, left: 40},
width = 700 - margin.left - margin.right,
height = 600 - margin.top - margin.bottom;
var x = d3.scale.ordinal().rangePoints([0, width], 1),
y = {};
var axis = d3.svg.axis().orient("left");
var line = d3.svg.line() //define a function to convert points into a polyline
.x(function(d) { return d.x; })
.y(function(d) { return d.y; })
.interpolate("linear");//line style. you can try "cardinal".
var chart = d3.select(".chart")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var cars=[];
d3.csv("cars.csv", type, function(error, data) {
cars = data;
drawPC();
});
function drawPC() {
// Extract the list of dimensions and create a scale for each.
for (var dim in cars[0]) {
if (dim != "name") {
y[dim] = d3.scale.linear()
.domain([d3.min(cars, function(d) { return +d[dim]; }), d3.max(cars, function(d) { return +d[dim]; })])
.range([height,0]);
}
}
x.domain(dimensions = d3.keys(cars[0]).filter(function(d) { return d != "name";}));
//draw polylines
for (var i=1; i< cars.length; i++) { //for each car
//prepare the coordinates for a polyline
var lineData = []; //initialize an array for coordinates of a polyline
for (var prop in cars[0]) { //get each dimension
if (prop != "name" ) { //skip the name dimension
var point = {}; //initialize a coordinate object
var val = cars[i][prop]; //obtain the value of a car in a dimension
point['x'] = x(prop); //x value: mapping the dimension
point['y'] = y[prop](val);//y value: mapping the value in that dimension
lineData.push(point); //add the object into the array
}
}
//draw a polyline based on the coordindates
chart.append("g")
.attr("class", "polyline")
.append("path") // a path shape
.attr("d", line(lineData)); //line() is a function to turn coordinates into SVG commands
}
//next: draw individual dimension lines
//position dimension lines appropriately
var g = chart.selectAll(".dimension")
.data(dimensions)
.enter().append("g")
.attr("class", "dimension")
.attr("transform", function(d) { return "translate(" + x(d) + ")"; }); //translate each axis
// Add an axis and title.
g.append("g")
.attr("class", "axis")
.each(function(d) { d3.select(this).call(axis.scale(y[d])); })
.append("text")
.style("text-anchor", "middle")
.attr("y", -9)
.text(function(d) { return d; });
};
//this function coerces numerical data to numbers
function type(d) {
d.economy = +d.economy; // coerce to number
d.displacement = +d.displacement; // coerce to number
d.power = +d.power; // coerce to number
d.weight = +d.weight; // coerce to number
d.year = +d.year;
return d;
}
})();
(function() {
var margin = {top: 20, right: 30, bottom: 30, left: 690},
width = 1300 - margin.left - margin.right,
height = 600 - margin.top - margin.bottom;
var x = d3.scale.linear().range([50, width]),
y = d3.scale.linear().range([height-20,0]);
var chart = d3.select(".chart")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var xAxis = d3.svg.axis().scale(x).orient("bottom");
var yAxis = d3.svg.axis().scale(y).orient("left");
var cars=[];
d3.csv("cars.csv", type, function(error, data) {
cars = data;
drawXY();
});
function drawXY(){
x.domain([d3.min(cars, function(d) { return d.year; }), d3.max(cars, function(d) { return d.year; })]);
y.domain([d3.min(cars, function(d) { return d.power; }), d3.max(cars, function(d) { return d.power; })]);
var yPos = height -20;
chart.append("g")
.attr("class", "xaxis")
.attr("transform", "translate(0," + yPos + ")")
.call(xAxis);
chart.append("g")
.attr("class", "yaxis")
.attr("transform", "translate(50,0)")
.call(yAxis);
chart.selectAll(".dot")
.data(cars)
.enter().append("circle")
.attr("class", "dot")
.attr("cx", function(d) { return x(d.year); })
.attr("cy", function(d) { return y(d.power); })
.attr("r", 3);
}
d3.selectAll("circle").data(cars).enter()
.append("circle")
.classed("circle", true)
.on("mouseover", function() { d3.select(d3.event.target).classed("highlight", true); })
.on("mouseout", function() { d3.select(d3.event.target).classed("highlight", false); });
function type(d) {
d.economy = +d.economy; // coerce to number
d.displacement = +d.displacement; // coerce to number
d.power = +d.power; // coerce to number
d.weight = +d.weight; // coerce to number
d.year = +d.year;
return d;
}
})();
var margin = {top: 20, right: 30, bottom: 30, left: 40},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom,
padding = 0.3;
var x = d3.scale.ordinal()
.rangeRoundBands([0, width], padding);
var y = d3.scale.linear()
.range([height, 0]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
.tickFormat(function(d) { return percentage(d); })
var tooltip = d3.select("body").append("div")
.attr("class", "tooltip")
.style("opacity", 0)
.attr("align","middle");
var chart = d3.select(".chart")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
data = [
{"name":"Product Revenue","value":420000},
{"name":"Services Revenue","value":210000},
{"name":"Employee Revenue","value":190000},
{"name":"Fixed Costs","value":-170000},
{"name":"Variable Costs","value":-140000}
];
//function to find all the positive values
var positive_val = data.filter(function(d) { return d.value > 0; });
console.log(JSON.stringify(positive_val));
//function to calculate the sum of all the positive values
var maxSum = positive_val.reduce(function(sum, d) {
return sum + d.value;
}, 0);
console.log("The maximum sum is "+maxSum);
//to calculate the new Domain by adding 120
var yaxisRange=maxSum+120;
console.log("The y axis sum is "+yaxisRange);
var newDomain=percentage(yaxisRange);
console.log(newDomain);
var newDomain = newDomain.replace(/[!##$%^&*]/g, "");
console.log(newDomain);
// Transform data (i.e., finding cumulative values and total)
var cumulative = 0;
for (var i = 0; i < data.length; i++) {
data[i].start = cumulative;
cumulative += data[i].value;
data[i].end = cumulative;
data[i].class = ( data[i].value >= 0 ) ? 'positive' : 'negative'
}
data.push({
name: 'Total',
end: cumulative,
start: 0,
class: 'total',
value: cumulative
});
x.domain(data.map(function(d) { return d.name; }));
y.domain([0, d3.max(data, function(d) { return d.end; })]);
//WHen i try to use this as my new domain,the bar increase the height
//y.domain([0,newDomain]);
debugger;
chart.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
chart.append("g")
.attr("class", "y axis")
.call(yAxis);
var bar = chart.selectAll(".bar")
.data(data)
.enter().append("g")
.attr("class", function(d) { return "bar " + d.class })
.attr("transform", function(d) { return "translate(" + x(d.name) + ",0)"; });
bar.append("rect")
//.attr("y", function(d) { return y(d.value); })
.attr("y", function(d) { return y( Math.max(d.start, d.end) ); })
.attr("height", function(d) { return Math.abs( y(d.start) - y(d.end) ); })
//function to draw the tooltip
.attr("width", x.rangeBand()).on("mouseover", function(d) {
// to find the parent node,to calculate the x position
var parentG = d3.select(this.parentNode);
var barPos = parseFloat(parentG.attr('transform').split("(")[1]);
var xPosition = barPos+x.rangeBand()/2;
//to find the y position
var yPosition = parseFloat(d3.select(this).attr("y"))+ Math.abs( y(d.start) - y(d.end))/2;
tooltip.transition()
.duration(200)
.style("opacity", .9);
tooltip.html(d.name + "<br/>" + percentage(d.value))
.style("left", xPosition + "px")
.style("top", yPosition + "px");
}).on("mouseout", function(d) {
tooltip.transition()
.duration(500)
.style("opacity", 0);
});
bar.append("text")
.attr("x", x.rangeBand() / 2)
.attr("y", function(d) { return y(d.end) + 5; })
.attr("dy", function(d) { return ((d.class=='negative') ? '-' : '') + ".75em" })
.text(function(d) { return percentage(d.end - d.start);});
bar.filter(function(d) { return d.class != "total" }).append("line")
.attr("class", "connector")
.attr("x1", x.rangeBand() + 5 )
.attr("y1", function(d) { return y(d.end) } )
.attr("x2", x.rangeBand() / ( 1 - padding) - 5 )
.attr("y2", function(d) { return y(d.end) } )
function type(d) {
d.value = +d.value;
return d;
}
function percentage(n) {
n = Math.round(n);
var result = n;
if (Math.abs(n) > 100) {
result = Math.round(n/100) + '%';
}
return result;
}
-Here is the updated fiddle http://jsfiddle.net/7mkq4k8k/21/
-I want to make the yaxis label increase .for eg 9000,9500.I have calculated the newDomian.
-If i try to add this domain,my chart doesnt get drawn properly.The height of the bars increase ,and the due to this the rest of the bars are not drawn.Please help me in this issue.
So the chart you initially draw is based on this domain :
y.domain([0, d3.max(data, function (d) {
return d.end;
})]);
Try to console.log(d3.max(data, function (d) {return d.end;})) and you will find it returns 820000, which is the maximum of your cumulative calculation. That means your chart is drawn with a domain from 0 to 820000.
Now let's talk about your newDomain. You're taking the percentage of your maxSum, which means your newDomain is equal to 8201. So now you're trying to draw your chart from 0 to 8201.
But your bars height is calculated like this :
Math.abs(y(d.start) - y(d.end)), which means you are calculating ranges from y(0) to y(820000) (d.end is max equal to 820000).
y(820000) doesn't fit, as you specified with your domain that it could max go to y(8201). That's why your bars are reaching over the very top of your chart, because the domain you're giving doesn't correspond the numbers inside :
y(this number is too big and doesn't fit because it is not between 0 and newDomain).
How to solve this ?
You define your domain correctly, removing the percentage line
//function to calculate the sum of all the positive values
var maxSum = positive_val.reduce(function (sum, d) {
return sum + d.value;
}, 0);
console.log("The maximum sum is " + maxSum);
//to calculate the new Domain by adding 520000 (big number to show you it works)
var newDomain = maxSum + 520000;
console.log(newDomain); //1340000
y.domain([0,newDomain]);
Working snippet below :
var margin = {
top: 20,
right: 30,
bottom: 30,
left: 40
},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom,
padding = 0.3;
var x = d3.scale.ordinal()
.rangeRoundBands([0, width], padding);
var y = d3.scale.linear()
.range([height, 0]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
.tickFormat(function (d) {
return percentage(d);
})
var tooltip = d3.select("body").append("div")
.attr("class", "tooltip")
.style("opacity", 0)
.attr("align", "middle");
var chart = d3.select(".chart")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
data = [{
"name": "Product Revenue",
"value": 420000
}, {
"name": "Services Revenue",
"value": 210000
}, {
"name": "Employee Revenue",
"value": 190000
}, {
"name": "Fixed Costs",
"value": -170000
}, {
"name": "Variable Costs",
"value": -140000
}
];
//function to find all the positive values
var positive_val = data.filter(function (d) {
return d.value > 0;
});
console.log(JSON.stringify(positive_val));
//function to calculate the sum of all the positive values
var maxSum = positive_val.reduce(function (sum, d) {
return sum + d.value;
}, 0);
console.log("The maximum sum is " + maxSum);
//to calculate the new Domain by adding 120
var newDomain = maxSum + 520000;
console.log(newDomain);
// Transform data (i.e., finding cumulative values and total)
var cumulative = 0;
for (var i = 0; i < data.length; i++) {
data[i].start = cumulative;
cumulative += data[i].value;
data[i].end = cumulative;
data[i].class = (data[i].value >= 0) ? 'positive' : 'negative'
}
data.push({
name: 'Total',
end: cumulative,
start: 0,
class: 'total',
value: cumulative
});
x.domain(data.map(function (d) {
return d.name;
}));
console.log(d3.max(data, function (d) {
return d.end;
}));
/*y.domain([0, d3.max(data, function (d) {
return d.end;
})]);*/
//WHen i try to use this as my new domain,the bar increase the height
y.domain([0,newDomain]);
debugger;
chart.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
chart.append("g")
.attr("class", "y axis")
.call(yAxis);
var bar = chart.selectAll(".bar")
.data(data)
.enter().append("g")
.attr("class", function (d) {
return "bar " + d.class
})
.attr("transform", function (d) {
return "translate(" + x(d.name) + ",0)";
});
bar.append("rect")
//.attr("y", function(d) { return y(d.value); })
.attr("y", function (d) {
return y(Math.max(d.start, d.end));
})
.attr("height", function (d) {
return Math.abs(y(d.start) - y(d.end));
})
//function to draw the tooltip
.attr("width", x.rangeBand()).on("mouseover", function (d) {
// to find the parent node,to calculate the x position
var parentG = d3.select(this.parentNode);
var barPos = parseFloat(parentG.attr('transform').split("(")[1]);
var xPosition = barPos + x.rangeBand() / 2;
//to find the y position
var yPosition = parseFloat(d3.select(this).attr("y")) + Math.abs(y(d.start) - y(d.end)) / 2;
tooltip.transition()
.duration(200)
.style("opacity", .9);
tooltip.html(d.name + "<br/>" + percentage(d.value))
.style("left", xPosition + "px")
.style("top", yPosition + "px");
}).on("mouseout", function (d) {
tooltip.transition()
.duration(500)
.style("opacity", 0);
});
bar.append("text")
.attr("x", x.rangeBand() / 2)
.attr("y", function (d) {
return y(d.end) + 5;
})
.attr("dy", function (d) {
return ((d.class == 'negative') ? '-' : '') + ".75em"
})
.text(function (d) {
return percentage(d.end - d.start);
});
bar.filter(function (d) {
return d.class != "total"
}).append("line")
.attr("class", "connector")
.attr("x1", x.rangeBand() + 5)
.attr("y1", function (d) {
return y(d.end)
})
.attr("x2", x.rangeBand() / (1 - padding) - 5)
.attr("y2", function (d) {
return y(d.end)
})
function type(d) {
d.value = +d.value;
return d;
}
function percentage(n) {
n = Math.round(n);
var result = n;
if (Math.abs(n) > 100) {
result = Math.round(n / 100) + '%';
}
return result;
}
.bar.total rect {
fill: steelblue;
}
.bar:hover rect {
fill:orange;
}
.bar.positive rect {
fill: darkolivegreen;
}
.bar:hover rect {
fill:orange;
}
.bar.negative rect {
fill: crimson;
}
.bar:hover rect {
fill:orange;
}
.bar line.connector {
stroke: grey;
stroke-dasharray: 3;
}
.bar text {
fill: white;
font: 12px sans-serif;
text-anchor: middle;
}
.axis text {
font: 10px sans-serif;
}
.axis path, .axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
div.tooltip {
position:absolute;
text-align: center;
padding: 2px;
font: 12px sans-serif;
background: #33CC00;
border: 0px;
border-radius: 8px;
pointer-events: none;
width: 90px;
}
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.11/d3.min.js"></script>
<svg class="chart"></svg>
Hope this helps !
I trying to display a d3 linechart. I've a problem - I cannot stop the date from repeating. How can I stop the date keep repeating? I only want to show two columns(17/12/2013 and 18/12/2013) based on the JSON data reflected below. Or what do I need to do so the first tickmark would show 17/12/2013 and the last one would show 18/12/2013?
[
{
"key": "Excited",
"values": [ [1387212490000, 0], [1387298890000 , 10] ]
},
{
"key": "Sad",
"values": [ [1387212490000, 20], [1387298890000 , 50] ]
},
{
"key": "Angry",
"values": [ [1387212490000, 30], [1387298890000 , 30] ]
},
{
"key": "Happy",
"values": [ [1387212490000, 40], [1387298890000 , 70] ]
}
]
Below is the JS script
$(document).ready(function() {
d3.json('sales.json', function(data) {
nv.addGraph(function() {
var chart = nv.models.lineChart().x(function(d) {
return d[0]
}).y(function(d) {
return d[1]
}).color(d3.scale.category10().range())
.useInteractiveGuideline(true);
chart.xAxis.tickFormat(function(d) {
return d3.time.format('%d/%m/%Y')(new Date(d))
});
//chart.xScale(d3.time.scale());
d3.select('#nvd3 svg').datum(data).transition().duration(500).call(chart);
nv.utils.windowResize(chart.update);
return chart;
});
});
});
You didn't show enough code so it may be difficult to debug...
Anyway, try this and I'm working on an example to prove it...
chart.xAxis
.tickFormat(function(d) {
return d3.time.format('%d/%m/%Y')(new Date(d))
})
.ticks(d3.time.days, 1)
<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/1.11.1/jquery.min.js"></script>
var margin = {top: 20, right: 40, bottom: 30, left: 20},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom,
barWidth = Math.floor(width / 19) - 1;
var x = d3.scale.linear()
.range([barWidth / 2, width - barWidth / 2]);
var y = d3.scale.linear()
.range([height, 0]);
var yAxis = d3.svg.axis()
.scale(y)
.orient("right")
.tickSize(-width)
.tickFormat(function(d) { return Math.round(d / 1e6) + "M"; });
// An SVG element with a bottom-right origin.
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 + ")");
// A sliding container to hold the bars by birthyear.
var birthyears = svg.append("g")
.attr("class", "birthyears");
// A label for the current year.
var title = svg.append("text")
.attr("class", "title")
.attr("dy", ".71em")
.text(2000);
d3.csv("population.csv", function(error, data) {
// Convert strings to numbers.
data.forEach(function(d) {
d.people = +d.people;
d.year = +d.year;
d.age = +d.age;
});
// Compute the extent of the data set in age and years.
var age1 = d3.max(data, function(d) { return d.age; }),
year0 = d3.min(data, function(d) { return d.year; }),
year1 = d3.max(data, function(d) { return d.year; }),
year = year1;
// Update the scale domains.
x.domain([year1 - age1, year1]);
y.domain([0, d3.max(data, function(d) { return d.people; })]);
// Produce a map from year and birthyear to [male, female].
data = d3.nest()
.key(function(d) { return d.year; })
.key(function(d) { return d.year - d.age; })
.rollup(function(v) { return v.map(function(d) { return d.people; }); })
.map(data);
// Add an axis to show the population values.
svg.append("g")
.attr("class", "y axis")
.attr("transform", "translate(" + width + ",0)")
.call(yAxis)
.selectAll("g")
.filter(function(value) { return !value; })
.classed("zero", true);
// Add labeled rects for each birthyear (so that no enter or exit is required).
var birthyear = birthyears.selectAll(".birthyear")
.data(d3.range(year0 - age1, year1 + 1, 5))
.enter().append("g")
.attr("class", "birthyear")
.attr("transform", function(birthyear) { return "translate(" + x(birthyear) + ",0)"; });
birthyear.selectAll("rect")
.data(function(birthyear) { return data[year][birthyear] || [0, 0]; })
.enter().append("rect")
.attr("x", -barWidth / 2)
.attr("width", barWidth)
.attr("y", y)
.attr("height", function(value) { return height - y(value); });
// Add labels to show birthyear.
birthyear.append("text")
.attr("y", height - 4)
.text(function(birthyear) { return birthyear; });
// Add labels to show age (separate; not animated).
svg.selectAll(".age")
.data(d3.range(0, age1 + 1, 5))
.enter().append("text")
.attr("class", "age")
.attr("x", function(age) { return x(year - age); })
.attr("y", height + 4)
.attr("dy", ".71em")
.text(function(age) { return age; });
// Allow the arrow keys to change the displayed year.
window.focus();
d3.select(window).on("keydown", function() {
switch (d3.event.keyCode) {
case 37: year = Math.max(year0, year - 10); break;
case 39: year = Math.min(year1, year + 10); break;
}
update();
});
function update() {
if (!(year in data)) return;
title.text(year);
birthyears.transition()
.duration(750)
.attr("transform", "translate(" + (x(year1) - x(year)) + ",0)");
birthyear.selectAll("rect")
.data(function(birthyear) { return data[year][birthyear] || [0, 0]; })
.transition()
.duration(750)
.attr("y", y)
.attr("height", function(value) { return height - y(value); });
}
});
svg {
font: 10px sans-serif;
}
.y.axis path {
display: none;
}
.y.axis line {
stroke: #fff;
stroke-opacity: .2;
shape-rendering: crispEdges;
}
.y.axis .zero line {
stroke: #000;
stroke-opacity: 1;
}
.title {
font: 300 78px Helvetica Neue;
fill: #666;
}
.birthyear,
.age {
text-anchor: middle;
}
.birthyear {
fill: #fff;
}
rect {
fill-opacity: .6;
fill: #e377c2;
}
rect:first-child {
fill: #1f77b4;
}