I have been trying to implement a Line-Bar Combo Chart but I'm not much successfull.
Here's my code
function renderNormalizedStackBarChart(inputData,dom_element_to_append_to, path_to_data) {
var margin = {top: 20, right: 231, bottom: 140, left: 40},
width = $(dom_element_to_append_to).width() - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var xscale = d3.scale.ordinal()
.rangeRoundBands([0, width], .1);
var yScaleLeft = d3.scale.linear()
.rangeRound([height, 0]);
var yScaleRight = d3.scale.linear()
.rangeRound([height, 0]);
var colors = d3.scale.ordinal()
.range(["#63c172", "#ee9952", "#46d6c4", "#fee851", "#98bc9a"]);
var xaxis = d3.svg.axis()
.scale(xscale)
.orient("bottom");
var yAxisLeft = d3.svg.axis()
.scale(yScaleLeft)
.orient("left")
.tickFormat(d3.format(".0%"));
var yAxisRight = d3.svg.axis()
.scale(yScaleRight)
.orient("right")
.tickFormat(d3.format(".0%"));
var x = d3.time.scale()
.range([0, width - 25]);
/*category.selectAll("rect")
.data(function(d) { return d.responses; })
.enter().append("rect")
.attr("width", xscale.rangeBand())
.attr("y", function(d) { return yScaleLeft(d.yp1); })
.attr("height", function(d) { return yScaleLeft(d.yp0) - yScaleLeft(d.yp1); })
.style("fill", function(d) { return colors(d.response); });*/
var temp = 0;
var line = d3.svg.line()
.x(function(d, i) {
console.log(temp);
var temp2 = temp;
temp += xscale.rangeBand();
return temp2;
})
.y(function(d) {
console.log(yScaleRight(d.value));
return yScaleRight(d.value);
})
.interpolate("linear")
;
var svg = d3.select(dom_element_to_append_to).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 + ")");
d3.tsv(path_to_data, function(error, data) {
//data = inputData;
var categories = d3.keys(data[0]).filter(function(key) { return key !== "CategoryNames"; });
var parsedata = categories.map(function(name) { return { "CategoryNames": name }; });
data.forEach(function(d) {
parsedata.forEach(function(pd) {
pd[d["CategoryNames"]] = d[pd["CategoryNames"]];
});
});
colors.domain(d3.keys(parsedata[0]).filter(function(key) { return key !== "CategoryNames" && key !== "Base"; }));
parsedata.forEach(function(pd) {
var y0 = 0;
pd.responses = colors.domain().map(function(response) {
var responseobj = {response: response, y0: y0, yp0: y0};
y0 += +pd[response];
responseobj.y1 = y0;
responseobj.yp1 = y0;
return responseobj;
});
pd.responses.forEach(function(d) { d.yp0 /= y0; d.yp1 /= y0; });
pd.totalresponses = pd.responses[pd.responses.length - 1].y1;
});
console.log(parsedata);
xscale.domain(parsedata.map(function(d) { return d.CategoryNames; }));
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xaxis)
.selectAll("text")
.attr("y", 5)
.attr("x", 7)
.attr("dy", ".35em")
.attr("transform", "rotate(65)")
.style("text-anchor", "start");
svg.append("g")
.attr("class", "y axisLeft")
.call(yAxisLeft);
svg.append("g")
.attr("class", "y axisRight")
.attr("transform", function() { return "translate(" + width + "," + 0 + ")"; })
.call(yAxisRight);
var category = svg.selectAll(".category")
.data(parsedata)
.enter().append("g")
.attr("class", "category")
.attr("transform", function(d) { return "translate(" + xscale(d.CategoryNames) + ",0)"; });
category.selectAll("rect")
.data(function(d) { return d.responses; })
.enter().append("rect")
.attr("width", xscale.rangeBand())
.attr("y", function(d) { return yScaleLeft(d.yp1); })
.attr("height", function(d) { return yScaleLeft(d.yp0) - yScaleLeft(d.yp1); })
.style("fill", function(d) { return colors(d.response); });
var convertedData = [];
parsedata.forEach(function(item) {
convertedData.push({response: item.CategoryNames, value: item.responses[0].yp1})
});
temp = xscale.rangeBand()/2;
console.log(convertedData);
svg.append("path")
.data(convertedData)
.attr("class", "line")
.attr("d", line(convertedData));
var legend = svg.selectAll(".legend")
.data(colors.domain())
.enter().append("g")
.attr("class", "legend")
.attr("transform", function(d, i) { return "translate(82," + ((height - 18) - (i * 20)) + ")"; });
legend.append("rect")
.attr("x", width - 18)
.attr("width", 18)
.attr("height", 18)
.style("fill", colors);
legend.append("text")
.attr("x", width + 10)
.attr("y", 9)
.attr("dy", ".35em")
.style("text-anchor", "start")
.text(function(d) { return d; });
d3.selectAll("input").on("change", handleFormClick);
function handleFormClick() {
if (this.value === "bypercent") {
transitionPercent();
} else {
transitionCount();
}
}
function transitionPercent() {
yScaleLeft.domain([0, 1]);
var trans = svg.transition().duration(250);
var categories = trans.selectAll(".category");
categories.selectAll("rect")
.attr("y", function(d) { return yScaleLeft(d.yp1); })
.attr("height", function(d) { return yScaleLeft(d.yp0) - yScaleLeft(d.yp1); });
yAxisLeft.tickFormat(d3.format(".0%"));
svg.selectAll(".y.axisLeft").call(yAxisLeft);
}
function transitionCount() {
yScaleLeft.domain([0, d3.max(parsedata, function(d) { return d.totalresponses; })]);
var transone = svg.transition()
.duration(100);
var categoriesone = transone.selectAll(".category");
categoriesone.selectAll("rect")
.attr("y", function(d) { return this.getBBox().y + this.getBBox().height - (yScaleLeft(d.y0) - yScaleLeft(d.y1)) })
.attr("height", function(d) { return yScaleLeft(d.y0) - yScaleLeft(d.y1); });
var transtwo = transone.transition()
.delay(150)
.duration(200)
.ease("bounce");
var categoriestwo = transtwo.selectAll(".category");
categoriestwo.selectAll("rect")
.attr("y", function(d) { return yScaleLeft(d.y1); });
yAxisLeft.tickFormat(d3.format(".2s"));
svg.selectAll(".y.axisLeft").call(yAxisLeft);
}
});
d3.select(self.frameElement).style("height", (height + margin.top + margin.bottom) + "px");
}
var inputData = [];
renderNormalizedStackBarChart(inputData,"#normalizedChart", "data/normalizedChart.tsv");
rect.bordered {
stroke: #E6E6E6;
stroke-width: 2px;
}
body {
font-size: 9pt;
font-family: Consolas, courier;
}
text.axis {
fill: #000;
}
.axisLeft path,
.axisLeft line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.axisRight path,
.axisRight line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.bar {
fill: steelblue;
}
.x.axis path {
display: none;
}
.legend line {
stroke: #000;
shape-rendering: crispEdges;
}
path .line {
stroke: #000;
shape-rendering: crispEdges;
}
form {
position: absolute;
right: 10px;
top: 10px;
}
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.3.13/d3.min.js"></script>
<script src="https://ajax.googleapis.com/ajax/libs/angularjs/1.0.7/angular.min.js"></script>
<script src="https://ajax.googleapis.com/ajax/libs/jquery/1.8.1/jquery.min.js"></script>
<div class="row">
<form>
<label><input type="radio" name="mode" value="bypercent" checked> Percent</label>
<label><input type="radio" name="mode" value="bycount"> Number of Respondants</label>
</form>
<div id="normalizedChart"></div>
</div>
but all I'm getting is the graph shown in the image below. How to make the path appear as line.Here in the code InputData variable is of no use as I'm reading data through a tsv file.
You have to add the style to your fill : none to your path
svg.append("path")
.data(convertedData)
.attr("class", "line")
.attr("d", line(convertedData));
.attr("stroke", "blue")
.attr("stroke-width", 2)
.attr("fill", "none");
Related
Note In this question, I asked how to add a distribution line to the chart.
This is my current status:
I don’t quite understand how to plot two distributions curves for the histograms. Like this:
This is my code (using D3.js version 4):
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<style>
.bar1 rect {
fill: rgba(0,0,255,0.6);
}
.bar1:hover rect{
fill: rgba(0,0,255,0.9);
}
.bar1 text {
fill: #fff;
font: 10px sans-serif;
}
.bar2 rect {
fill: rgba(255,0,0,0.6);
}
.bar2:hover rect{
fill: rgba(255,0,0,0.9);
}
.bar2 text {
fill: #fff;
font: 10px sans-serif;
}
</style>
<script src="https://d3js.org/d3.v4.min.js"></script>
<script>
function draw(data) {
var allCongruentData = data.map(function(e){ return e.Congruent;});
var allIncongruentData = data.map(function(e){ return e.Incongruent;});
var formatCount = d3.format(",.0f");
var svg = d3.select("svg"),
margin = {top: 10, right: 30, bottom: 30, left: 30},
width = +svg.attr("width") - margin.left - margin.right,
height = +svg.attr("height") - margin.top - margin.bottom,
g = svg.append("g").attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var x = d3.scaleLinear()
.rangeRound([0, width])
.domain([8, 36]);
var bins1 = d3.histogram()
.domain(x.domain())
.thresholds(x.ticks(40))
(allCongruentData);
// var curve = d3.line()
// .x(function(d) { return ???; })
// .y(function(d) { return y(d.Congruent); })
// .curve(d3.curveCatmullRom.alpha(0.5));
var bins2 = d3.histogram()
.domain(x.domain())
.thresholds(x.ticks(40))
(allIncongruentData);
var y = d3.scaleLinear()
.domain([0, d3.max(bins1, function(d) { return d.length; })])
.range([height, 0]);
var bar1 = g.selectAll(".bar1")
.data(bins1)
.enter().append("g")
.attr("class", "bar1")
.attr("transform", function(d) { return "translate(" + x(d.x0) + "," + y(d.length) + ")"; });
bar1.append("rect")
.attr("x", 0.5)
.attr("width", x(bins1[0].x1) - x(bins1[0].x0) - 1)
.attr("height", function(d) { return height - y(d.length); });
var bar2 = g.selectAll(".bar2")
.data(bins2)
.enter().append("g")
.attr("class", "bar2")
.attr("transform", function(d) { return "translate(" + x(d.x0) + "," + y(d.length) + ")"; });
bar2.append("rect")
.attr("x", 0.5)
.attr("width", x(bins2[0].x1) - x(bins2[0].x0) - 1)
.attr("height", function(d) { return height - y(d.length); });
bar1.append("text")
.attr("dy", ".75em") // why?
.attr("y", 6)
.attr("x", (x(bins1[0].x1) - x(bins1[0].x0)) / 2)
.attr("text-anchor", "middle")
.text(function(d) { return formatCount(d.length); });
bar2.append("text")
.attr("dy", ".75em") // why?
.attr("y", 6)
.attr("x", (x(bins2[0].x1) - x(bins2[0].x0)) / 2)
.attr("text-anchor", "middle")
.text(function(d) { return formatCount(d.length); });
g.append("g")
.attr("class", "axis axis--x")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x));
var legend = svg.append("g")
.attr("class", "legend")
.attr("transform", "translate(" + (width - 245) + "," + 40 + ")")
.selectAll("g")
.data(["Congruent", "Incongruent"])
.enter().append("g");
legend.append("text")
.attr("y", function(d, i) {
return i * 30 + 5;
})
.attr("x", 200)
.text(function(d) {
return d;
});
legend.append("rect")
.attr("y", function(d, i) {
return i * 30 - 8;
})
.attr("x", 167)
.attr("width", 20)
.attr("height", 20)
.attr("fill", function(d) {
if (d == "Congruent") {
return 'rgba(0,0,255,0.6';
} else {
return 'rgba(255,0,0,0.6';
}
});
// g.append("path")
// .datum(data)
// .attr("d", line);
}
</script>
</head>
<body>
<h1>Stroop Test</h1>
<svg width="960" height="500"></svg>
<script type="text/javascript">
d3.csv("stroopdata.csv", function(d) {
d.Congruent = +d.Congruent;
d.Incongruent = +d.Incongruent;
return d;
}, draw);
</script>
</body>
</html>
The data looks like this:
Congruent,Incongruent
12.079,19.278
16.791,18.741
9.564,21.214
8.630,15.687
14.669,22.803
12.238,20.878
14.692,24.572
8.987,17.394
9.401,20.762
14.480,26.282
22.328,24.524
15.298,18.644
15.073,17.510
16.929,20.330
18.200,35.255
12.130,22.158
18.495,25.139
10.639,20.429
11.344,17.425
12.369,34.288
12.944,23.894
14.233,17.960
19.710,22.058
16.004,21.157
Any help appreciated.
Right now i have a brush function and two lines. I could add tiptool without brush function but since i have brush now, it wont focus anymore. And also i have two lines, so its hard to choose a appropriate tiptool. I wanted to add the tiptool only on the upper margin. I am new in javascript. Anyone could help me with it? Thank you so much
var margin = {
top: 10,
right: 10,
bottom: 100,
left: 40
},
margin2 = {
top: 430,
right: 10,
bottom: 20,
left: 40
},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom,
height2 = 500 - margin2.top - margin2.bottom;
var color = d3.scale.category10();
var parseDate = d3.time.format("%m/%e/%Y %H:%M").parse;
var x = d3.time.scale().range([0, width]),
x2 = d3.time.scale().range([0, width]),
y = d3.scale.linear().range([height, 0]),
y2 = d3.scale.linear().range([height2, 0]);
var xAxis = d3.svg.axis().scale(x).orient("bottom"),
xAxis2 = d3.svg.axis().scale(x2).orient("bottom"),
yAxis = d3.svg.axis().scale(y).orient("left");
var brush = d3.svg.brush()
.x(x2)
.on("brush", brush);
var line = d3.svg.line()
.defined(function(d) {
return !isNaN(d.power);
})
.interpolate("cubic")
.x(function(d) {
return x(d.date);
})
.y(function(d) {
return y(d.power);
});
var line2 = d3.svg.line()
.defined(function(d) {
return !isNaN(d.power);
})
.interpolate("cubic")
.x(function(d) {
return x2(d.date);
})
.y(function(d) {
return y2(d.power);
});
var svg = d3.select("body").append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom);
svg.append("defs").append("clipPath")
.attr("id", "clip")
.append("rect")
.attr("width", width)
.attr("height", height);
var focus = svg.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var context = svg.append("g")
.attr("transform", "translate(" + margin2.left + "," + margin2.top + ")");
d3.csv("pvdata2.csv", function(error, data) {
color.domain(d3.keys(data[0]).filter(function(key) {
return key !== "pvdate";
}));
data.forEach(function(d) {
d.date = parseDate(d.pvdate);
});
var sources = color.domain().map(function(name) {
return {
name: name,
values: data.map(function(d) {
return {
date: d.date,
power: +d[name]
};
})
};
});
x.domain(d3.extent(data, function(d) {
return d.date;
}));
y.domain([d3.min(sources, function(c) {
return d3.min(c.values, function(v) {
return v.power;
});
}),
d3.max(sources, function(c) {
return d3.max(c.values, function(v) {
return v.power;
});
})
]);
x2.domain(x.domain());
y2.domain(y.domain());
var focuslineGroups = focus.selectAll("g")
.data(sources)
.enter().append("g");
var focuslines = focuslineGroups.append("path")
.attr("class", "line")
.attr("d", function(d) {
return line(d.values);
})
.style("stroke", function(d) {
return color(d.name);
})
.attr("clip-path", "url(#clip)");
focus.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
focus.append("g")
.attr("class", "y axis")
.call(yAxis);
var contextlineGroups = context.selectAll("g")
.data(sources)
.enter().append("g");
var contextLines = contextlineGroups.append("path")
.attr("class", "line")
.attr("d", function(d) {
return line2(d.values);
})
.style("stroke", function(d) {
return color(d.name);
})
.attr("clip-path", "url(#clip)");
context.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height2 + ")")
.call(xAxis2);
context.append("g")
.attr("class", "x brush")
.call(brush)
.selectAll("rect")
.attr("y", -6)
.attr("height", height2 + 7);
svg.append("text")
.attr("fill", "#000")
.attr("transform", "rotate(-90)")
.attr("y", 45)
.attr("dy", "0.71em")
.style("text-anchor", "end")
.text("Power (kW)");
});
function brush() {
x.domain(brush.empty() ? x2.domain() : brush.extent());
focus.selectAll("path.line").attr("d", function(d) {
return line(d.values)
});
focus.select(".x.axis").call(xAxis);
focus.select(".y.axis").call(yAxis);
}
// Active point element
var activePoint = svg.append('circle')
.attr({
cx: 0,
cy: 0,
r: 5,
'pointer-events': 'none'
})
.style({
stroke: 'none',
fill: 'red',
'fill-opacity': 0
});
svg {
font: 10px sans-serif;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.y.axis path {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.brush .extent {
stroke: #fff;
fill-opacity: .125;
shape-rendering: crispEdges;
}
.line {
fill: none;
}
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.11/d3.min.js"></script>
I'm trying to make a d3 scatterplot recurring to json data. I know that d3 has d3.json to load json data but my code isn't working. I'm not that good dealing with js (it's my first time with this language), that's why I need help in this.
Basically, I need to plot this data (date in xAxis and IADP_mGycm2 in yAxis):
[
{
"imageID": 1,
"value": 288.3,
"date": "2015-10-22"
},
{
"imageID": 2,
"value": 188.1,
"date": "2015-10-22"
}
]
JS:
var margin = { top: 50, right: 300, bottom: 50, left: 50 },
outerWidth = 1050,
outerHeight = 500,
width = outerWidth - margin.left - margin.right,
height = outerHeight - margin.top - margin.bottom;
var x = d3.scale.linear()
.range([0, width]).nice();
var y = d3.scale.linear()
.range([height, 0]).nice();
var xCat = "date",
yCat = "value";
d3.json("CR.json", function(error, rawData) {
if (error) {
console.error(error);
return;
}
var data = rawData.map(function (d) {
return {
date: d.date,
value: d.value
}
});
var xMax = d3.max(data, function(d) { return d["date"]; }),
xMin = d3.min(data, function(d) { return d["date"]; }),
xMin = xMin > 0 ? 0 : xMin,
yMax = d3.max(data, function(d) { return d["value"]; }) ,
yMin = d3.min(data, function(d) { return d["value"]; }),
yMin = yMin > 0 ? 0 : yMin;
x.domain([xMin, xMax]);
y.domain([yMin, yMax]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom")
.tickSize(-height);
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
.tickSize(-width);
var color = d3.scale.category10();
var tip = d3.tip()
.attr("class", "d3-tip")
.offset([-10, 0])
.html(function(d) {
return xCat + ": " + d["date"] + "<br>" + yCat + ": " + d["value"];
});
var zoomBeh = d3.behavior.zoom()
.x(x)
.y(y)
.scaleExtent([0, 500])
.on("zoom", zoom);
var svg = d3.select("#scatter")
.append("svg")
.attr("width", outerWidth)
.attr("height", outerHeight)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")")
.call(zoomBeh);
svg.call(tip);
svg.append("rect")
.attr("width", width)
.attr("height", height);
svg.append("g")
.classed("x axis", true)
.attr("transform", "translate(0," + height + ")")
.call(xAxis)
.append("text")
.classed("label", true)
.attr("x", width)
.attr("y", margin.bottom - 10)
.style("text-anchor", "end")
.text(xCat);
svg.append("g")
.classed("y axis", true)
.call(yAxis)
.append("text")
.classed("label", true)
.attr("transform", "rotate(-90)")
.attr("y", -margin.left)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text(yCat);
var objects = svg.append("svg")
.classed("objects", true)
.attr("width", width)
.attr("height", height);
objects.append("svg:line")
.classed("axisLine hAxisLine", true)
.attr("x1", 0)
.attr("y1", 0)
.attr("x2", width)
.attr("y2", 0)
.attr("transform", "translate(0," + height + ")");
objects.append("svg:line")
.classed("axisLine vAxisLine", true)
.attr("x1", 0)
.attr("y1", 0)
.attr("x2", 0)
.attr("y2", height);
objects.selectAll(".dot")
.data(data)
.enter().append("circle")
.classed("dot", true)
.attr("cy", function (d) { return d.value; })
.attr("cx", function (d) { return d.date; })
.attr("transform", transform)
.style("fill", "red")
.on("mouseover", tip.show)
.on("mouseout", tip.hide);
var legend = svg.selectAll(".legend")
.data(color.domain())
.enter().append("g")
.classed("legend", true)
.attr("transform", function(d, i) { return "translate(0," + i * 20 + ")"; });
legend.append("circle")
.attr("r", 3.5)
.attr("cx", width + 20)
.attr("fill", color);
legend.append("text")
.attr("x", width + 26)
.attr("dy", ".35em")
.text(function(d) { return d; });
d3.select("input").on("click", change);
function change() {
xCat = "date";
xMax = d3.max(data, function(d) { return d["date"]; });
xMin = d3.min(data, function(d) { return d["date"]; });
zoomBeh.x(x.domain([xMin, xMax])).y(y.domain([yMin, yMax]));
var svg = d3.select("#scatter").transition();
svg.select(".x.axis").duration(750).call(xAxis).select(".label").text("date");
objects.selectAll(".dot").transition().duration(1000).attr("transform", transform);
}
function zoom() {
svg.select(".x.axis").call(xAxis);
svg.select(".y.axis").call(yAxis);
svg.selectAll(".dot")
.attr("transform", transform);
}
function transform(d) {
return "translate(" + x(d["date"]) + "," + y(d["value"]) + ")";
}
});
HTML:
<html>
<head>
<meta charset="utf-8">
<title>Visualization</title>
<link rel="stylesheet" href="scatter.css" charset="utf-8">
</head>
<body>
<div id="scatter"></div>
<input type="button" name="xAxis" value="xAxis">
<script src="http://d3js.org/d3.v3.min.js" charset="utf-8"></script>
<script src="http://labratrevenge.com/d3-tip/javascripts/d3.tip.v0.6.3.js"></script>
<script src="scatter.js" charset="utf-8"></script>
</body>
</html>
CSS:
rect {
fill: transparent;
shape-rendering: crispEdges;
}
.axis path,
.axis line {
fill: none;
stroke: rgba(0, 0, 0, 0.1);
shape-rendering: crispEdges;
}
.axisLine {
fill: none;
shape-rendering: crispEdges;
stroke: rgba(0, 0, 0, 0.5);
stroke-width: 2px;
}
.dot {
fill-opacity: .5;
}
.d3-tip {
line-height: 1;
font-weight: bold;
padding: 12px;
background: rgba(0, 0, 0, 0.8);
color: #fff;
border-radius: 2px;
}
/* Creates a small triangle extender for the tooltip */
.d3-tip:after {
box-sizing: border-box;
display: inline;
font-size: 10px;
width: 100%;
line-height: 1;
color: rgba(0, 0, 0, 0.8);
content: "\25BC";
position: absolute;
text-align: center;
}
/* Style northward tooltips differently */
.d3-tip.n:after {
margin: -1px 0 0 0;
top: 100%;
left: 0;
}
Thanks in advance!
One issue I see is that you're missing a }) at the end of this code chunk:
var data = rawData.map(function (d) {
return {
date: d.date,
IADP_mGycm2: d.IADP_mGycm2
};
Try changing it to this:
var data = rawData.map(function (d) {
return {
date: d.date,
IADP_mGycm2: d.IADP_mGycm2
}
});
It also helps in debugging if you include the specific error message you're getting.
Well, you define xCat as:
var xCat = "Date"
but your mapping function uses:
date: d.date
so, when you reference d[xCat] what you are getting is d.Date (which is undefined and would cause NaN) instead of d.date. That's all I can see with a quick look through.
You can fix this by using d['date'] or d.date instead of d[xCat].
Ok, after looking a little further at this, I've identified a couple of problems. The main issue is that the chart you are trying to emulate has numeric values on both the x and y axes. However, you are trying to use dates. In order to do that, you have to use d3.time.scale() for the x-axis instead of a linear scale. You also have to transform the date strings from your data to date objects and use your time scale to scale your x-axis values. Here is scatter.js with the changes:
var margin = { top: 50, right: 300, bottom: 50, left: 50 },
outerWidth = 1050,
outerHeight = 500,
width = outerWidth - margin.left - margin.right,
height = outerHeight - margin.top - margin.bottom;
// Use a time scale for the x-axis
var x = d3.time.scale()
.range([0, width]).nice();
var y = d3.scale.linear()
.range([height, 0]).nice();
var xCat = "date",
yCat = "Dose";
d3.json("CR.json", function(error, rawData) {
if (error) {
console.error(error);
return;
}
var data = rawData.map(function(d) {
return {
// Create date objects, not strings
date: new Date(d.date),
IADP_mGycm2: d.IADP_mGycm2
}
});
var xMax = d3.max(data, function(d) { return d["date"]; }),
xMin = d3.min(data, function(d) { return d["date"]; }),
//xMin = xMin > 0 ? 0 : xMin,
yMax = d3.max(data, function(d) { return d["IADP_mGycm2"]; }),
yMin = d3.min(data, function(d) { return d["IADP_mGycm2"]; });
//yMin = yMin > 0 ? 0 : yMin;
x.domain([xMin, xMax]);
y.domain([yMin, yMax]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom")
.tickSize(-height);
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
.tickSize(-width);
var color = d3.scale.category10();
var tip = d3.tip()
.attr("class", "d3-tip")
.offset([-10, 0])
.html(function(d) {
return xCat + ": " + d["date"] + "<br>" + yCat + ": " + d["IADP_mGycm2"];
});
var zoomBeh = d3.behavior.zoom()
.x(x)
.y(y)
.scaleExtent([0, 500])
.on("zoom", zoom);
var svg = d3.select("#scatter")
.append("svg")
.attr("width", outerWidth)
.attr("height", outerHeight)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")")
.call(zoomBeh);
svg.call(tip);
svg.append("rect")
.attr("width", width)
.attr("height", height);
svg.append("g")
.classed("x axis", true)
.attr("transform", "translate(0," + height + ")")
.call(xAxis)
.append("text")
.classed("label", true)
.attr("x", width)
.attr("y", margin.bottom - 10)
.style("text-anchor", "end")
.text(xCat);
svg.append("g")
.classed("y axis", true)
.call(yAxis)
.append("text")
.classed("label", true)
.attr("transform", "rotate(-90)")
.attr("y", -margin.left)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text(yCat);
var objects = svg.append("svg")
.classed("objects", true)
.attr("width", width)
.attr("height", height);
objects.append("svg:line")
.classed("axisLine hAxisLine", true)
.attr("x1", 0)
.attr("y1", 0)
.attr("x2", width)
.attr("y2", 0)
.attr("transform", "translate(0," + height + ")");
objects.append("svg:line")
.classed("axisLine vAxisLine", true)
.attr("x1", 0)
.attr("y1", 0)
.attr("x2", 0)
.attr("y2", height);
objects.selectAll(".dot")
.data(data)
.enter().append("circle")
.classed("dot", true)
.attr("cy", function(d) { return d.IADP_mGycm2; })
// Use the time scale to scale the values for the x-axis
.attr("cx", function(d) { return x(d.date); })
.attr("transform", transform)
.style("fill", "red")
.on("mouseover", tip.show)
.on("mouseout", tip.hide);
var legend = svg.selectAll(".legend")
.data(color.domain())
.enter().append("g")
.classed("legend", true)
.attr("transform", function(d, i) { return "translate(0," + i * 20 + ")"; });
legend.append("circle")
.attr("r", 3.5)
.attr("cx", width + 20)
.attr("fill", color);
legend.append("text")
.attr("x", width + 26)
.attr("dy", ".35em")
.text(function(d) { return d; });
d3.select("input").on("click", change);
function change() {
xCat = "date";
xMax = d3.max(data, function(d) { return d["date"]; });
xMin = d3.min(data, function(d) { return d["date"]; });
zoomBeh.x(x.domain([xMin, xMax])).y(y.domain([yMin, yMax]));
var svg = d3.select("#scatter").transition();
svg.select(".x.axis").duration(750).call(xAxis).select(".label").text("date");
objects.selectAll(".dot").transition().duration(1000).attr("transform", transform);
}
function zoom() {
svg.select(".x.axis").call(xAxis);
svg.select(".y.axis").call(yAxis);
svg.selectAll(".dot")
.attr("transform", transform);
}
function transform(d) {
return "translate(" + x(d["date"]) + "," + y(d["IADP_mGycm2"]) + ")";
}
});
This gets rid of the errors you were seeing, but it still doesn't plot the circles correctly. Sorry, I don't have the time to work all that out. However, this should move you forward and get you closer to figuring it out yourself. To learn more about time scales, see https://github.com/mbostock/d3/wiki/Time-Scales. Also, if you really want to learn D3, I highly recommend the book D3.js in Action by Elijah Meeks. https://www.manning.com/books/d3-js-in-action. One of the better programming books I have read.
I have a parallel coordinate chart. I want to display a legend. From the example from Bostock's website, I wrote something similar. But, I can only see the colours of the lines being shown and not the text.
The text is being returned correctly as well.
What am I performing incorrectly ?
Here is my code:
<!DOCTYPE html>
<meta charset="utf-8">
<style>
svg {
font: 10px sans-serif;
}
.background path {
fill: none;
stroke: #ddd;
shape-rendering: crispEdges;
}
.foreground path {
fill: none;
stroke: steelblue;
}
.brush .extent {
fill-opacity: .3;
stroke: #fff;
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;
}
.legend rect {
fill:white;
stroke:black;
opacity:0.8;}
</style>
<body>
<div style="width:1140px; height:550px;margin-left:50px;margin-top:50px;" id="chartDiv"></div>
<script src="http://d3js.org/d3.v3.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3-legend/1.5.0/d3-legend.js"></script>
<script>
var margin = {top: 30, right: 10, bottom: 10, left: 10},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var x = d3.scale.ordinal().rangePoints([0, width], 1),
y = {},
dragging = {};
var line = d3.svg.line(),
axis = d3.svg.axis().orient("left"),
background,
foreground;
var svg = d3.select("#chartDiv").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 + ")");
var color = d3.scale.ordinal()
.domain(['white','other','african-american','hispanic','asian/pacific islander'])
.range(['#ffae19','#4ca64c','#4682B4','#737373', '#ff4c4c']);
d3.csv("SurvivalProbability.csv", function(error, cars) {
// Extract the list of dimensions and create a scale for each.
x.domain(dimensions = d3.keys(cars[0]).filter(function(d) {
if(d === "Ethnicity") {
y[d] = d3.scale.ordinal()
.domain(cars.map(function(p) { return p[d]; }))
.rangePoints([height, 0]);
}
else if(d === "Site") {
y[d] = d3.scale.ordinal()
.domain(cars.map(function(p) { return p[d]; }))
.rangePoints([height, 0]);
}
else if(d === "Tcategory") {
y[d] = d3.scale.ordinal()
.domain(cars.map(function(p) { return p[d]; }))
.rangePoints([height, 0]);
}
else if(d === "Nodal_Disease") {
y[d] = d3.scale.ordinal()
.domain(cars.map(function(p) { return p[d]; }))
.rangePoints([height, 0]);
}
else if(d === "Chemotherapy") {
y[d] = d3.scale.ordinal()
.domain(cars.map(function(p) { return p[d]; }))
.rangePoints([height, 0]);
}
else if(d === "Local_Therapy") {
y[d] = d3.scale.ordinal()
.domain(cars.map(function(p) { return p[d]; }))
.rangePoints([height, 0]);
}
else {
y[d] = d3.scale.linear()
.domain(d3.extent(cars, function(p) { return +p[d]; }))
.range([height, 0]);
}
return true;
}));
// Add grey background lines for context.
background = svg.append("g")
.attr("class", "background")
.selectAll("path")
.data(cars)
.enter().append("path")
.attr("d", path);
// Add blue foreground lines for focus.
/*foreground = svg.append("g")
.attr("class", "foreground")
.selectAll("path")
.data(cars)
.enter().append("path")
.attr("d", path);*/
foreground = svg.append("g")
.attr("class", "foreground")
.selectAll("path")
.data(cars)
.enter().append("path")
.attr("d", path)
.style("stroke", function(d) {
return color(d.Ethnicity);
})
// Add a group element for each dimension.
var g = svg.selectAll(".dimension")
.data(dimensions)
.enter().append("g")
.attr("class", "dimension")
.attr("transform", function(d) { return "translate(" + x(d) + ")"; })
.call(d3.behavior.drag()
.origin(function(d) { return {x: x(d)}; })
.on("dragstart", function(d) {
dragging[d] = x(d);
background.attr("visibility", "hidden");
})
.on("drag", function(d) {
dragging[d] = Math.min(width, Math.max(0, d3.event.x));
foreground.attr("d", path);
dimensions.sort(function(a, b) { return position(a) - position(b); });
x.domain(dimensions);
g.attr("transform", function(d) { return "translate(" + position(d) + ")"; })
})
.on("dragend", function(d) {
delete dragging[d];
transition(d3.select(this)).attr("transform", "translate(" + x(d) + ")");
transition(foreground).attr("d", path);
background
.attr("d", path)
.transition()
.delay(500)
.duration(0)
.attr("visibility", null);
}));
// 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; });
// Add and store a brush for each axis.
g.append("g")
.attr("class", "brush")
.each(function(d) {
d3.select(this).call(y[d].brush = d3.svg.brush().y(y[d]).on("brushstart", brushstart).on("brush", brush));
})
.selectAll("rect")
.attr("x", -8)
.attr("width", 16);
var legendRectSize = 10;
var legendSpacing = 100;
var legend = d3.select('svg')
.append("g")
.selectAll("g")
.data(color.domain())
.enter()
.append('g')
.attr('class', 'legend')
.attr('transform', function(d, i) {
var height = legendRectSize;
var x = 925;
var y = (i * height) + 50;
return 'translate(' + x + ',' + y + ')';
});
legend.append('rect')
.attr('width', legendRectSize)
.attr('height', legendRectSize)
.style('fill', color)
.style('stroke', color);
legend.append('text')
.attr('x', legendRectSize + legendSpacing)
.attr('y', legendRectSize - legendSpacing)
.text(function(d) { return d; });
});
function position(d) {
var v = dragging[d];
return v == null ? x(d) : v;
}
function transition(g) {
return g.transition().duration(500);
}
// Returns the path for a given data point.
function path(d) {
return line(dimensions.map(function(p) { return [position(p), y[p](d[p])]; }));
}
function brushstart() {
d3.event.sourceEvent.stopPropagation();
}
// Handles a brush event, toggling the display of foreground lines.
function brush() {
var actives = dimensions.filter(function(p) { return !y[p].brush.empty(); }),
extents = actives.map(function(p) { return y[p].brush.extent(); });
foreground.style("display", function(d) {
return actives.every(function(p, i) {
return extents[i][0] <= d[p] && d[p] <= extents[i][1];
}) ? null : "none";
});
}
</script>
The code is correct to show the legend you have to adjust the margin a little.
//rightmargin is set to 200
var margin = {top: 30, right: 200, bottom: 10, left: 10},
and width is like
width = 1100 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
Placement of the legend text as below
var legendRectSize = 10;
var legendSpacing = 10;
var legend = d3.select('svg')
.append("g")
.selectAll("g")
.data(color.domain())
.enter()
.append('g')
.attr('class', 'legend')
.attr('transform', function(d, i) {
var height = legendRectSize;
var x = 900;
var y = (i * height) + 50;
return 'translate(' + x + ',' + y + ')';
});
That all :)
Working code here
Hope this helps!
i got a normal line chart written in d3.js
body {
font: 10px sans-serif;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.x.axis {
position: fixed;
}
.x.axis path {
display: none;
}
.line {
fill: none;
stroke: steelblue;
stroke-width: 1.5px;
}
var margin = {top: 20, right: 80, bottom: 30, left: 50},
width = 2000 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var parseDate = d3.time.format("%Y%m%d").parse;
var x = d3.time.scale()
.range([0, width]);
var y = d3.scale.linear()
.range([height, 0]);
var color = d3.scale.category10();
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left");
var line = d3.svg.line()
.interpolate("basis")
.x(function(d) { return x(d.date); })
.y(function(d) { return y(d.temperature); });
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 + ")");
d3.tsv("data.tsv", function(error, data) {
if (error) throw error;
color.domain(d3.keys(data[0]).filter(function(key) { return key !== "date"; }));
data.forEach(function(d) {
d.date = parseDate(d.date);
});
var cities = color.domain().map(function(name) {
return {
name: name,
values: data.map(function(d) {
return {date: d.date, temperature: +d[name]};
})
};
});
x.domain(d3.extent(data, function(d) { return d.date; }));
y.domain([
d3.min(cities, function(c) { return d3.min(c.values, function(v) { return v.temperature; }); }),
d3.max(cities, function(c) { return d3.max(c.values, function(v) { return v.temperature; }); })
]);
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("Temperature (ยบF)");
var city = svg.selectAll(".city")
.data(cities)
.enter().append("g")
.attr("class", "city");
cities.forEach(function(d) {
console.log(d);
});
city.append("path")
.attr("class", "line")
.attr("d", function(d) { return line(d.values); })
.style("stroke", function(d) { return color(d.name); });
city.append("text")
.datum(function(d) { return {name: d.name, value: d.values[d.values.length - 1]}; })
.attr("transform", function(d) { return "translate(" + x(d.value.date) + "," + y(d.value.temperature) + ")"; })
.attr("x", 3)
.attr("dy", ".35em")
.text(function(d) { return d.name; });
});
but the height is higher than the screen size, so i need to scroll
But now i need to see the Axes all the time.
So i need the x-Axis and the y-Axis with fixed position
I tried CSS position:fixed but it had no effect.
Please help me.
Try applying the style when you generate the axis.
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.style("position", "fixed")
.call(xAxis);
window.onscroll = function() {myFunction()};
function myFunction() {
if(window.pageYOffset == 0)
{
d3.select("#test").nodes()[0].setAttribute("transform", "translate(200, " + 10 +")")
}
if (window.pageYOffset > 0) {
d3.select("#test").nodes()[0].setAttribute("transform", "translate(200, " + window.pageYOffset +")")
}
}