Related
I am newbie in d3js, I do not know why all labels in the bar are wrong.
My code and captures are shown as below, then you can see that all labels are different from my data.
Anyone know what's going on in my text label section?
// set the dimensions and margins of the graph
var margin = { top: 10, right: 30, bottom: 40, left: 50 },
width = 700 - margin.left - margin.right,
height = 400 - margin.top - margin.bottom;
const dataUrl = "https://raw.githubusercontent.com/yushinglui/IV/main/time_distance_status_v2.csv"
//fetch the data
d3.csv(dataUrl)
.then((data) => {
// append the svg object to the body of the page
var svg = d3.select("#graph-2")
.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 + ")")
// List of subgroups = header of the csv files = soil condition here
var subgroups = data.columns.slice(1)
// List of groups = species here = value of the first column called group -> I show them on the X axis
var groups = d3.map(data, function (d) { return (d.startTime) })
// Add X axis
var x = d3.scaleBand()
.domain(groups)
.range([0, width])
.padding([0.2])
svg.append("g")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x).tickSize(0));
// Add Y axis
var y = d3.scaleLinear()
.domain([0, 20])
.range([height, 0]);
svg.append("g")
.call(d3.axisLeft(y));
// Another scale for subgroup position?
var xSubgroup = d3.scaleBand()
.domain(subgroups)
.range([0, x.bandwidth()])
.padding([0.05])
// color palette = one color per subgroup
var color = d3.scaleOrdinal()
.domain(subgroups)
.range(['#98abc5', '#8a89a6'])
// Show the bars
svg.append("g")
.selectAll("g")
// Enter in data = loop group per group
.data(data)
.enter()
.append("g")
.attr("transform", function (d) { return "translate(" + x(d.startTime) + ",0)"; })
.selectAll("rect")
.data(function (d) { return subgroups.map(function (key) { return { key: key, value: d[key] }; }); })
.enter()
.append("rect")
.attr("x", function (d) { return xSubgroup(d.key); })
.attr("y", function (d) { return y(d.value); })
.attr("width", xSubgroup.bandwidth())
.attr("height", function (d) { return height - y(d.value); })
.attr("fill", function (d) { return color(d.key); })
// mouseover and mouseout animation
.on("mouseover", function (d) {
d3.select(this).style("fill", d3.rgb(color(d.key)).darker(2))
})
.on("mouseout", function (d) {
d3.select(this).style("fill", function (d) { return color(d.key); })
})
//axis labels
svg.append('text')
.attr('x', - (height / 2))
.attr('y', width - 650)
.attr('transform', 'rotate(-90)')
.attr('text-anchor', 'middle')
.style("font-size", "17px")
.text('Average Distance');
svg.append('text')
.attr('x', 300)
.attr('y', width - 240)
.attr('transform', 'rotate()')
.attr('text-anchor', 'middle')
.style("font-size", "17px")
.text('Start Time');
// legend
svg.append("circle").attr("cx", 200).attr("cy", 20).attr("r", 6).style("fill", "#98abc5")
svg.append("circle").attr("cx", 300).attr("cy", 20).attr("r", 6).style("fill", "#8a89a6")
svg.append("text").attr("x", 220).attr("y", 20).text("Present").style("font-size", "15px").attr("alignment-baseline", "middle")
svg.append("text").attr("x", 320).attr("y", 20).text("Absent").style("font-size", "15px").attr("alignment-baseline", "middle")
//text labels on bars -- all labels wrong!!
svg.append("g")
.selectAll("g")
// Enter in data = loop group per group
.data(data)
.enter()
.append("g")
.attr("transform", function (d) { return "translate(" + x(d.startTime) + ",0)"; })
.selectAll("text")
.data(function (d) { return subgroups.map(function (key) { return { key: key, value: d[key] }; }); })
.enter()
.append("text")
.text(function (d) { return y(d.value); })
.attr("font-family", "sans-serif")
.attr("font-size", "12px")
.attr("fill", "black")
.attr("text-anchor", "middle")
.attr("x", function (d) { return xSubgroup(d.key); })
.attr("y", function (d) { return y(d.value) + 10; })
});
My reference website:
http://plnkr.co/edit/9lAiAXwet1bCOYL58lWN?p=preview&preview
https://bl.ocks.org/bricedev/0d95074b6d83a77dc3ad
Your issue is that when you're appending the text, you inadvertently called the y function, which is used to get the y-location on where to insert the text. The numbers you're getting are actually y-location values, which seems completely random.
.text(function (d) { return y(d.value); }) // here is the issue
Change it to
.text(function (d) { return d.value; })
and it should work!
I am developing a scatterplot in d3 where you can alter both x axis and y axis using a dropdown menu.
I was able to draw the grid lines but my problem is redrawing them when a new value is picked for either x axis or y axis.
I hope someone could advise me what I should do to make this happen.
Here is my code up until now(js):
d3.csv('data.csv',function (data) {
// CSV section
var body = d3.select('body')
var selectData = [ { "text" : "Trust words" },
{ "text" : "Surprise words" },
{ "text" : "Sadness words" },
{ "text" : "Positive words"},
{ "text" : "Negative words"},
{ "text" : "Fear words"},
{ "text" : "Disgust words"},
{ "text" : "Anticipation words"},
{ "text" : "Anger words"},
]
// Select X-axis Variable
var span = body.append('span')
.text('Select an Emotion word for the Horizontal scale: ')
var xInput = body.append('select')
.attr('id','xSelect')
.on('change',xChange)
.selectAll('option')
.data(selectData)
.enter()
.append('option')
.attr('value', function (d) { return d.text })
.text(function (d) { return d.text ;})
body.append('br')
body.append('br')
// Select Y-axis Variable
var span = body.append('span')
.text('Select an Emotion word for the Vertical scale: ')
var yInput = body.append('select')
.attr('id','ySelect')
.on('change',yChange)
.selectAll('option')
.data(selectData)
.enter()
.append('option')
.attr('value', function (d) { return d.text })
.text(function (d) { return d.text ;})
body.append('br')
// Variables
var body = d3.select('body')
var margin = { top: 50, right: 50, bottom: 50, left: 50 }
var h = 700 - margin.top - margin.bottom
var w = 1350 - margin.left - margin.right
var rscale = d3.scale.linear()
// Scales
var cValue = function(d) { if (parseFloat(d['Emotions words']) >=0 && parseFloat(d['Emotions words']) <= 200000) return 'Emotion Words NO: 0-200,000 inc'
else if(parseFloat(d['Emotions words']) >200000 && parseFloat(d['Emotions words']) <=350000) return 'Emotion Words NO: 200,001-350,000 inc'
else return 'Emotion words NO: >350,000'},
color = d3.scale.category10();
var xScale = d3.scale.linear()
.domain([
d3.min([0,d3.min(data,function (d) { return parseFloat(d['Trust words']) })]),
d3.max([0,d3.max(data,function (d) { return parseFloat(d['Trust words']) })])
])
.range([0,w])
var yScale = d3.scale.linear()
.domain([
d3.min([0,d3.min(data,function (d) { return parseFloat(d['Trust words']) })]),
d3.max([0,d3.max(data,function (d) { return parseFloat(d['Trust words']) })])
])
.range([h,0])
// SVG
var svg = body.append('svg')
.attr('height',h + margin.top + margin.bottom)
.attr('width',w + margin.left + margin.right)
.append('g')
.attr('transform','translate(' + margin.left + ',' + margin.top + ')')
// X-axis
var xAxis = d3.svg.axis()
.scale(xScale)
.orient('bottom')
.ticks(5)
// Y-axis
var yAxis = d3.svg.axis()
.scale(yScale)
.orient('left')
.ticks(5)
function make_x_axis() {
return d3.svg.axis()
.scale(xScale)
.orient("bottom")
.ticks(5)
}
function make_y_axis() {
return d3.svg.axis()
.scale(yScale)
.orient("left")
.ticks(5)
}
// Circles
var circles = svg.selectAll('circle')
.data(data)
.enter()
.append('circle')
.attr('cx',function (d) { return xScale(d['Trust words']) })
.attr('cy',function (d) { return yScale(d['Trust words']) })
.attr('r',function (d) { return rscale(d['Average_movie_rating'])*2;})
.attr('stroke','black')
.attr('stroke-width',1)
.attr('fill',function (d) { return color(cValue(d)); })
.on('mouseover', function () {
d3.select(this)
.transition()
.duration(500)
.attr('r',20)
.attr('stroke-width',3)
})
.on('mouseout', function () {
d3.select(this)
.transition()
.duration(500)
.attr('r',10)
.attr('stroke-width',1)
})
.append('title') // Tooltip
.text(function (d) { return 'Actor Name: ' + d['Actor_ Name'] +
'\nTrust words: ' + d['Trust words'] +
'\nSurprise words: ' + d['Surprise words']+
'\nSadness words: ' + d['Sadness words'] +
'\nPositive words: ' + d['Positive words'] +
'\nNegative words: ' + d['Negative words'] +
'\nFear words: ' + d['Fear words'] +
'\nDisgust words: ' + d['Disgust words'] +
'\nAnticipation words: ' + d['Anticipation words'] +
'\nAnger words: ' + d['Anger words'] +
'\nAverage ranking: '+ d['Average_movie_rating']})
// X-axis
svg.append('g')
.attr('class','axis')
.attr('id','xAxis')
.attr('transform', 'translate(0,' + h + ')')
.call(xAxis)
.append('text') // X-axis Label
.attr('id','xAxisLabel')
.attr('y',-10)
.attr('x',w)
.attr('dy','.71em')
.style('text-anchor','end')
.text('Trust words')
// Y-axis
svg.append('g')
.attr('class','axis')
.attr('id','yAxis')
.call(yAxis)
.append('text') // y-axis Label
.attr('id', 'yAxisLabel')
.attr('transform','rotate(-90)')
.attr('x',0)
.attr('y',5)
.attr('dy','.71em')
.style('text-anchor','end')
.text('Trust words')
svg.append('g')
.attr("class", "grid")
.attr("transform", "translate(0," + h + ")")
.call(make_x_axis()
.tickSize(-h, 0, 0)
.tickFormat("")
)
svg.append('g')
.attr("class", "grid")
.call(make_y_axis()
.tickSize(-w, 0, 0)
.tickFormat("")
)
function yChange() {
var value = this.value // get the new y value
yScale // change the yScale
.domain([
d3.min([0,d3.min(data,function (d) { return parseFloat(d[value]) })]),
d3.max([0,d3.max(data,function (d) { return parseFloat(d[value]) })])
])
yAxis.scale(yScale) // change the yScale
d3.select('#yAxis') // redraw the yAxis
.transition().duration(1000)
.call(yAxis)
d3.select('#yAxisLabel') // change the yAxisLabel
.text(value)
d3.selectAll('circle') // move the circles
.transition().duration(1000)
.delay(function (d,i) { return i*100})
.attr('cy',function (d) { return yScale(d[value]) })
}
function xChange() {
var value = this.value // get the new x value
xScale // change the xScale
.domain([
d3.min([0,d3.min(data,function (d) { return parseFloat(d[value]) })]),
d3.max([0,d3.max(data,function (d) { return parseFloat(d[value]) })])
])
xAxis.scale(xScale) // change the xScale
d3.select('#xAxis') // redraw the xAxis
.transition().duration(1000)
.call(xAxis)
d3.select('#xAxisLabel') // change the xAxisLabel
.transition().duration(1000)
.text(value)
d3.selectAll('circle') // move the circles
.transition().duration(1000)
.delay(function (d,i) { return i*100})
.attr('cx',function (d) { return xScale(d[value]) })
}
var legend = svg.selectAll(".legend")
.data(color.domain())
.enter().append("g")
.attr("class", "legend")
.attr("transform", function(d, i) { return "translate(0," + i * 25 + ")"; });
// draw legend colored rectangles
legend.append("rect")
.attr("x", w + 25)
.attr("y", 490)
.attr("width", 18)
.attr("height", 18)
.style("fill", color);
// draw legend text
legend.append("text")
.attr("x", w - 24)
.attr("y", 500)
.attr("dy", ".35em")
.style("text-anchor", "end")
.text(function(d) { return d;})
.text(function(d) { return d;})
})
Thanks
I'm sorry, I wanted to write a comment, but I don't have enough reputation so I have to write this as an answer. Is there any chance you can provide a mini dataset so that I can run this code in my machine? It's easier to understand how the code is supposed to work if I have a dataset to run it with.
Also, what do you mean by gridlines? If you mean the ticks, then I think those won't change no matter what scale you use. You set it to 5 and so I think there will always be 5 evenly spaced tick marks.
I'm working on creating a graph that updates when a button is clicked, however when clicking the button, it seems only the axis are updating, and not the data itself.
The current version is in this plunker, I've also attached the code below:
http://plnkr.co/edit/85H6i25YPbTB0MRKtpZn?p=preview
I'm still quite new to D3 and have used a a few books and a lot of reading to get me to an ok level, but am struggling to find an answer to this specific question after trawling through many pages of the internet.
It would be amazing if anyone could give me some guidance on where I'm going wrong.
<body>
<svg width="960" height="500"></svg>
<div id="option">
<input name="updateButton" type="button" value="Click here to update the chart with results after the snap election" onclick="updateData()" />
</div>
<script type="text/javascript">
//graph 1
var svg = d3.select("svg"),
margin = {
top: 20,
right: 20,
bottom: 30,
left: 40
},
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 x0 = d3.scaleBand()
.rangeRound([0, width])
.paddingInner(0.1);
var x1 = d3.scaleBand()
.padding(0.05);
var y = d3.scaleLinear()
.rangeRound([height, 0]);
var z = d3.scaleOrdinal()
.range(["#0087dc", "#d50000", "#FDBB30"]);
d3.csv("data.csv", function(d, i, columns) {
for (var i = 1, n = columns.length; i < n; ++i) d[columns[i]] = +d[columns[i]];
return d;
}, function(error, data) {
if (error) throw error;
var keys = data.columns.slice(1);
x0.domain(data.map(function(d) {
return d.Year;
}));
x1.domain(keys).rangeRound([0, x0.bandwidth()]);
y.domain([0, d3.max(data, function(d) {
return d3.max(keys, function(key) {
return d[key];
});
})]).nice();
g.append("g")
.selectAll("g")
.data(data)
.enter().append("g")
.attr("transform", function(d) {
return "translate(" + x0(d.Year) + ",0)";
})
.selectAll("rect")
.data(function(d) {
return keys.map(function(key) {
return {
key: key,
value: d[key]
};
});
})
.enter().append("rect")
.attr("x", function(d) {
return x1(d.key);
})
.attr("y", function(d) {
return y(d.value);
})
.attr("width", x1.bandwidth())
.attr("height", function(d) {
return height - y(d.value);
})
.attr("fill", function(d) {
return z(d.key);
});
g.append("g")
.attr("class", "axis")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x0));
g.append("g")
.attr("class", "axis")
.call(d3.axisLeft(y).ticks(null, "s"))
.append("text")
.attr("x", 2)
.attr("y", y(y.ticks().pop()) + 0.5)
.attr("dy", "0.32em")
.attr("fill", "#000")
.attr("font-weight", "bold")
.attr("text-anchor", "start")
.text("Seats before snap election");
var legend = g.append("g")
.attr("font-family", "sans-serif")
.attr("font-size", 10)
.attr("text-anchor", "end")
.selectAll("g")
.data(keys.slice().reverse())
.enter().append("g")
.attr("transform", function(d, i) {
return "translate(0," + i * 20 + ")";
});
legend.append("rect")
.attr("x", width - 19)
.attr("width", 19)
.attr("height", 19)
.attr("fill", z);
legend.append("text")
.attr("x", width - 24)
.attr("y", 9.5)
.attr("dy", "0.32em")
.text(function(d) {
return d;
});
});
// ** Update data section (Called from the onclick)
function updateData() {
//call data
d3.csv("data_copy.csv", function(d, i, columns) {
for (var i = 1, n = columns.length; i < n; ++i) d[columns[i]] = +d[columns[i]];
return d;
}, function(error, data) {
if (error) throw error;
var keys = data.columns.slice(1);
//scale range of data again
x0.domain(data.map(function(d) {
return d.Year;
}));
x1.domain(keys).rangeRound([0, x0.bandwidth()]);
y.domain([0, d3.max(data, function(d) {
return d3.max(keys, function(key) {
return d[key];
});
})]).nice();
var sel = svg.selectAll("g")
.data(data);
//remove
sel.exit().remove("g");
sel.enter().append("g")
.attr("transform", function(d) {
return "translate(" + x0(d.Year) + ",0)";
})
.selectAll("rect")
.data(function(d) {
return keys.map(function(key) {
return {
key: key,
value: d[key]
};
});
})
//remove
svg.selectAll("rect");
sel.exit().remove("rect");
sel.enter().append("rect")
.attr("x", function(d) {
return x1(d.key);
})
.attr("y", function(d) {
return y(d.value);
})
.attr("width", x1.bandwidth())
.attr("height", function(d) {
return height - y(d.value);
})
.attr("fill", function(d) {
return z(d.key);
});
g.append("g")
.attr("class", "axis")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x0));
g.append("g")
.attr("class", "axis")
.call(d3.axisLeft(y).ticks(null, "s"))
.append("text")
.attr("x", 2)
.attr("y", y(y.ticks().pop()) + 0.5)
.attr("dy", "0.32em")
.attr("fill", "#000")
.attr("font-weight", "bold")
.attr("text-anchor", "start")
.text("Seats after snap election");
});
}
#thedude's answer is right, but doesn't correct everything: it updates the bars, but the heights are wrong, for instance. Something to do with the inner .data join and the subsequent secondary formatting, I guess.
I checked at the same time and came up with the solution below. The core change that makes the update button update is this:
var sel = svg.selectAll("g.chartarea").selectAll("g.year").data(data);
sel.exit().remove();
sel.enter().append("g").classed("year", true);
// continuing with sel didn't update the just appended elements
// so I repeated the selection to get the new elements as well
sel = svg.selectAll("g.chartarea").selectAll("g.year");
sel.attr( // and so on
Complete script:
var svg = d3.select("svg"),
margin = {
top: 20,
right: 20,
bottom: 30,
left: 40
},
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 x0 = d3.scaleBand()
.rangeRound([0, width])
.paddingInner(0.1);
var x1 = d3.scaleBand()
.padding(0.05);
var y = d3.scaleLinear()
.rangeRound([height, 0]);
var z = d3.scaleOrdinal()
.range(["#0087dc", "#d50000", "#FDBB30"]);
// added class to enable precise selection
g.append("g").classed("chartarea", true);
// added classes to enable precise selection
g.append("g")
.classed("axis", true)
.classed("x-axis", true);
// added classes to enable precise selection
g.append("g")
.classed("axis", true)
.classed("y-axis", true);
updateGraph("data.csv");
// ** Update data section (Called from the onclick)
function updateData() {
updateGraph("data_copy.csv");
}
function updateGraph(file) {
//call data
d3.csv(file, function(d, i, columns) {
for (var i = 1, n = columns.length; i < n; ++i) d[columns[i]] = +d[columns[i]];
return d;
}, function(error, data) {
if (error) throw error;
var keys = data.columns.slice(1);
//scale range of data again
x0.domain(data.map(function(d) {
return d.Year;
}));
x1.domain(keys).rangeRound([0, x0.bandwidth()]);
y.domain([0, d3.max(data, function(d) {
return d3.max(keys, function(key) {
return d[key];
});
})]).nice();
var sel = svg.selectAll("g.chartarea").selectAll("g.year")
.data(data);
//remove
sel.exit().remove();
// added classes to enable precise selection
sel.enter().append("g").classed("year", true);
sel = svg.selectAll("g.chartarea").selectAll("g.year");
sel.attr("transform", function(d) {
return "translate(" + x0(d.Year) + ",0)";
})
.attr("x", function(d) {
return x1(d.key);
})
.attr("y", function(d) {
return y(d.value);
})
.attr("width", x1.bandwidth())
.attr("height", function(d) {
return height - y(d.value);
})
.attr("fill", function(d) {
return z(d.key);
});
var parties =
sel.selectAll("rect.party")
.data(function(d) {
return keys.map(function(key) {
return {
key: key,
value: d[key]
};
});
});
parties.exit().remove();
// added classes to enable precise selection
parties.enter().append("rect").classed("party", true);
parties = sel.selectAll("rect.party");
parties.attr("x", function(d) {
return x1(d.key);
})
.attr("y", function(d) {
return y(d.value);
})
.attr("width", x1.bandwidth())
.attr("height", function(d) {
return height - y(d.value);
})
.attr("fill", function(d) {
return z(d.key);
});
// select the axes instead of appending them here
g.selectAll("g.x-axis")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x0));
g.selectAll("g.y-axis")
.call(d3.axisLeft(y).ticks(null, "s"))
.append("text")
.attr("x", 2)
.attr("y", y(y.ticks().pop()) + 0.5)
.attr("dy", "0.32em")
.attr("fill", "#000")
.attr("font-weight", "bold")
.attr("text-anchor", "start")
.text("Seats after snap election");
});
}
Added some further changes that may be worth a look:
Don't differentiate between initialization and update. This is exactly what D3 excels at: doing everything with the same code. In my refactored version, the code is reduced to a single updateGraph function that does both.
Use classes or identifiers to differentiate your graphical elements. There are several places where you select too much with selectAll("g") which will select nearly all elements in your chart.
Don't add stuff multiple times. For example, the axes should be added only once. In the original code, they were added twice, overlaying each other. Instead, add them once, leave them uninitialized, then later select them and set their attributes correctly.
You need to update your rect selection in your click handler like this:
...
//remove
sel = svg.selectAll("rect");
sel.exit().remove("rect");
sel.enter().append("rect")
sel.attr("x", function(d) {
return x1(d.key);
})
.attr("y", function(d) {
return y(d.value);
})
...
You can see it in action here:
http://plnkr.co/edit/3R9lauiQQIB0IgrAk3X2?p=preview
Edit - I've updated the plunker with a working example that addresses several other issues
i want a vertical stacked bar chart with x axis and y axis labels and tool tip showing values and legends. please show me how to reduce the size of the graph also....
Now bar stacked bar chart is showing with very big size But no x and y axis... amd tool tip and legends is also not coming...
var w = 700,
h = 500;
var margin = {top: 25, right: 75, bottom: 85, left: 85};
// create canvas
var svg = d3.select("#bar-chart").append("svg:svg")
.attr("class", "chart")
.attr("width", w)
.attr("height", h )
.append("svg:g")
.attr("transform", "translate(10,470)");
x = d3.scale.ordinal().rangeRoundBands([0, w-50]);
y = d3.scale.linear().range([0, h-50]);
z = d3.scale.ordinal().range(["yellow", "grey", "orange"]);
var colors = [["Cat 980", "#D0D0D0"],
["Kom500", "#4DAF4A"],
["Kom501", "#D0D0D0"],
["Kom502", "#D0D0D0"]];
console.log("RAW MATRIX---------------------------");
// 4 columns: ID,c1,c2,c3
var matrix = [
[ 1, 5871, 8916, 2868],
[ 2, 10048, 2060, 6171],
[ 3, 16145, 8090, 8045],
[ 4, 990, 940, 6907]
];
console.log(matrix);
console.log("REMAP---------------------------");
var remapped =["c1","c2","c3"].map(function(dat,i){
return matrix.map(function(d,ii){
return {x: ii, y: d[i+1] };
});
});
console.log(remapped);
console.log("LAYOUT---------------------------");
var stacked = d3.layout.stack()(remapped);
console.log(stacked);
var xScale = d3.scale.ordinal().domain(d3.range(stacked.length)).rangeRoundBands([0, w], 0.05);
// ternary operator to determine if global or local has a larger scale
var yScale = d3.scale.linear().domain([0, d3.max(remapped)]).range([h, 0]);
var xAxis = d3.svg.axis().scale(xScale).tickFormat(function(d) { return stacked[d].keyword; }).orient("bottom");
var yAxis = d3.svg.axis().scale(yScale).orient("left").ticks(5);
x.domain(stacked[0].map(function(d) { return d.x; }));
y.domain([0, d3.max(stacked[stacked.length - 1], function(d) { return d.y0 + d.y; })]);
// show the domains of the scales
console.log("x.domain(): " + x.domain())
console.log("y.domain(): " + y.domain())
console.log("------------------------------------------------------------------");
// Add a group for each column.
var valgroup = svg.selectAll("g.valgroup")
.data(stacked)
.enter().append("svg:g")
.attr("class", "valgroup")
.style("fill", function(d, i) { return z(i); })
.style("stroke", function(d, i) { return d3.rgb(z(i)).darker(); });
// xAxis
svg.append("g") // Add the X Axis
.attr("class", "x axis")
.attr("transform", "translate(0," + (h) + ")")
.call(xAxis)
.selectAll("text")
.style("text-anchor", "end")
.attr("dx", "-.8em")
.attr("dy", ".15em")
.attr("transform", function(d) {
return "rotate(-25)";
})
;
// yAxis
svg.append("g")
.attr("class", "y axis")
.attr("transform", "translate(0 ,0)")
.call(yAxis)
;
// xAxis label
svg.append("text")
.attr("transform", "translate(" + (w / 2) + " ," + (h + margin.bottom - 5) +")")
.style("text-anchor", "middle")
.text("Keyword");
//yAxis label
svg.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 0 - margin.left)
.attr("x", 0 - (h / 2))
.attr("dy", "1em")
.style("text-anchor", "middle")
.text("Product");
// Add a rect for each date.
var rect = valgroup.selectAll("rect")
.data(function(d){return d;})
.enter().append("svg:rect")
.attr("x", function(d) { return x(d.x); })
.attr("y", function(d) { return -y(d.y0) - y(d.y); })
.attr("height", function(d) { return y(d.y); })
.attr("width", x.rangeBand());
// add legend
var legend = svg.append("g")
.attr("class", "legend")
.attr("transform", "translate(70,10)")
;
var legendRect = legend.selectAll('rect').data(colors);
legendRect.enter()
.append("rect")
.attr("x", w - 65)
.attr("y", 0) // use this to flip horizontal
.attr("width", 10)
.attr("height", 10)
.attr("y", function(d, i) {
return i * 20;
})
// .attr("x", function(d, i){return w - 65 - i * 70}) // use this to flip horizontal
.style("fill", function(d) {
return d[1];
});
var legendText = legend.selectAll('text').data(colors);
legendText.enter()
.append("text")
.attr("x", w - 52)
.attr("y", function(d, i) {
return i * 20 + 9;
})
.text(function(d) {
return d[0];
});
svg.select("g.x").call(xAxis);
svg.select("g.y").call(yAxis);
i created a stacked bar graph.
on the y axis side i have ticks with varying lengths.
what i am trying to accomplish is to align the text in the tick to the left.
this is my example:http://jsfiddle.net/2khbceut/2/
html
<title>Diverging Stacked Bar Chart with D3.js</title>
<body>
<div id="figure" align="center" style="margin-bottom: 50px;"></div>
</body>
javascript
$(document).ready(getTopolegy());
function getTopolegy(){
var data = null;
var links = parseTopology(data);
createChart(links);
}
function parseTopology(data){
var links=[{1:5,2:5,3:10,N:20,link_name: "Link CHGIL21CRS-SFXCA21CRS"},
{1:5,2:5,3:10,N:20,link_name: "Link NYCNY21CRS-NYCNY22CRS"}];
return links;
}
function jsonNameToId(name){
switch (allocated_priority) {
case "allocated_priority":
return 1;
case "allocated_default":
return 2;
case "spare_capacity":
return 3;
case "total":
return "N";
default:
return 999;
}
}
function createChart(data){
var margin = {top: 50, right: 20, bottom: 10, left: 210},
width = 1000 - margin.left - margin.right,
height = 100 - margin.top - margin.bottom;
var y = d3.scale.ordinal()
.rangeRoundBands([0, height], .3);
var x = d3.scale.linear()
.rangeRound([0, width]);
var color = d3.scale.ordinal()
.range(["#cccccc", "#92c6db", "#086fad"]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("top");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
var svg = d3.select("#figure").append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.attr("id", "d3-plot")
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
color.domain(["Allocated Priority %", "Allocated Default %", "Spare Capacity %"]);
// d3.csv("js/raw_data.csv", function(error, data) {
data.forEach(function(d) {
d["Allocated Priority %"] = +d[1]*100/d.N;
d["Allocated Default %"] = +d[2]*100/d.N;
d["Spare Capacity %"] = +d[3]*100/d.N;
var x0 = 0;
var idx = 0;
d.boxes = color.domain().map(function(name) { return {name: name, x0: x0, x1: x0 += +d[name], N: +d.N, n: +d[idx += 1]}; });
});
var min_val = d3.min(data, function(d) {
return d.boxes["0"].x0;
});
var max_val = d3.max(data, function(d) {
return d.boxes["2"].x1;
});
x.domain([min_val, max_val]).nice();
y.domain(data.map(function(d) { return d.link_name; }));
svg.append("g")
.attr("class", "x axis")
.call(xAxis);
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
var vakken = svg.selectAll(".Link")
.data(data)
.enter().append("g")
.attr("class", "bar")
.attr("transform", function(d) { return "translate(0," + y(d.link_name) + ")"; });
var bars = vakken.selectAll("rect")
.data(function(d) { return d.boxes; })
.enter().append("g").attr("class", "subbar");
bars.append("rect")
.attr("height", y.rangeBand())
.attr("x", function(d) { return x(d.x0); })
.attr("width", function(d) { return x(d.x1) - x(d.x0); })
.style("fill", function(d) { return color(d.name); });
bars.append("text")
.attr("x", function(d) { return x(d.x0); })
.attr("y", y.rangeBand()/2)
.attr("dy", "0.5em")
.attr("dx", "0.5em")
.style("font" ,"10px sans-serif")
.style("text-anchor", "begin")
.text(function(d) { return d.n !== 0 && (d.x1-d.x0)>3 ? d.n : "" });
vakken.insert("rect",":first-child")
.attr("height", y.rangeBand())
.attr("x", "1")
.attr("width", width)
.attr("fill-opacity", "0.5")
.style("fill", "#F5F5F5")
.attr("class", function(d,index) { return index%2==0 ? "even" : "uneven"; });
svg.append("g")
.attr("class", "y axis")
.append("line")
.attr("x1", x(0))
.attr("x2", x(0))
.attr("y2", height);
var startp = svg.append("g").attr("class", "legendbox").attr("id", "mylegendbox");
// this is not nice, we should calculate the bounding box and use that
var legend_tabs = [0, 150, 300];
var legend = startp.selectAll(".legend")
.data(color.domain().slice())
.enter().append("g")
.attr("class", "legend")
.attr("transform", function(d, i) { return "translate(" + legend_tabs[i] + ",-45)"; });
legend.append("rect")
.attr("x", 0)
.attr("width", 18)
.attr("height", 18)
.style("fill", color);
legend.append("text")
.attr("x", 22)
.attr("y", 9)
.attr("dy", ".35em")
.style("text-anchor", "begin")
.style("font" ,"10px sans-serif")
.text(function(d) { return d; });
d3.selectAll(".axis path")
.style("fill", "none")
.style("stroke", "#000")
.style("shape-rendering", "crispEdges")
d3.selectAll(".axis line")
.style("fill", "none")
.style("stroke", "#000")
.style("shape-rendering", "crispEdges")
var movesize = width/2 - startp.node().getBBox().width/2;
d3.selectAll(".legendbox").attr("transform", "translate(" + movesize + ",0)");
// });
}
as can be seen the current positioning of the tick text is to the right.
i tried the following idea:
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
.selectAll("text")
.style("text-anchor", "start");
but it did not position the ticks in the desired alignment.
any ideas?
You can make the Y axis right-oriented, which will have the effect of positioning all the labels to the right of the axis, left-aligning them:
var yAxis = d3.svg.axis()
.scale(y)
.orient("right")// <- 1st step
At that point the labels would disappear, because they'll get covered up by the bars of the graph.
But then you can shift all those left-aligned labels some constant distance in the negative X direction, such that they're back on the left side of the Y axis, but still left-aligned the way you wanted. tickPadding() is a way to shift them:
var yAxis = d3.svg.axis()
.scale(y)
.orient("right")
.tickPadding(-180)
Here's your example, modified with the above: http://jsfiddle.net/2khbceut/3/
Maybe hardcoding the -180 is ok for you. If you need that amount to be dynamic, you can compute it using getBBox() on each text element of the axis and taking the maximum width to be the negative offset.
You can set the text-anchor to "start" and adjust the x position with translate, I added the code below in the chart model "boxPlotChart.js"
g.select('.nv-y.nv-axis').selectAll('.tick').selectAll('text')
.style('text-anchor','start')
.attr('transform', function(d,i,j) { return 'translate(-14,0)' });
g.select('.nv-y.nv-axis').selectAll('.nv-axisMaxMin').selectAll('text')
.style('text-anchor','start')
.attr('transform', function(d,i,j) { return 'translate(-16,0)' });