d3 stacked bar chart not updating correctly - javascript
I have a stacked bar chart created using d3.
I am trying to update my bar graph with data from a different .csv using buttons.
Here is my code so far:
<!DOCTYPE html>
<head>
<meta charset="utf-8">
<style>
#title {
font-family: serif;
font-variant: small-caps;
font-size: 20px;
text-align: left;
text-decoration: underline;
text-shadow: 2px 2px 2px gray;
}
body {
font: 10px sans-serif;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.bar {
fill: steelblue;
}
.x.axis path {
display: none;
}
.exit {
opacity: 0;
}
</style>
</head>
<body>
<p id="title">Server/Client Relationship with Groups Algorithm</p>
<div id="option">
<input name="updateButton"
type="button"
value="Update"
onclick="updateData()" />
<input name="revertButton"
type="button"
value="Revert"
onclick="revertData()" />
</div>
<script type="text/javascript" src="d3.js"></script>
<script>
var margin = {top: 20, right: 20, bottom: 30, left: 40},
width = 1100 - margin.left - margin.right,
height = 700 - margin.top - margin.bottom;
var x = d3.scale.ordinal()
.rangeRoundBands([0, width], .1);
var y = d3.scale.linear()
.rangeRound([height, 0]);
var color = d3.scale.category20();
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
.tickFormat(d3.format(".2s"));
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.csv("before.csv", function(error, data) {
color.domain(d3.keys(data[0]).filter(function(key) { return key !== "Servers"; }));
data.forEach(function(d) {
var y0 = 0;
d.ages = color.domain().map(function(name) { return {name: name, y0: y0, y1: y0 += +d[name]}; });
d.total = d.ages[d.ages.length - 1].y1;
});
x.domain(data.map(function(d) { return d.Servers; }));
y.domain([0, d3.max(data, 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)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("Number of Clients");
var servers = svg.selectAll(".servers")
.data(data)
.enter().append("g")
.attr("class", "g")
.attr("transform", function(d) { return "translate(" + x(d.Servers) + ",0)"; });
servers.selectAll("rect")
.data(function(d) { return d.ages; })
.enter().append("rect")
.attr("width", x.rangeBand())
.attr("y", function(d) { return y(d.y1); })
.attr("height", function(d) { return y(d.y0) - y(d.y1); })
.style("fill", function(d) { return color(d.name); });
var legend = svg.selectAll(".legend")
.data(color.domain().slice().reverse())
.enter().append("g")
.attr("class", "legend")
.attr("transform", function(d, i) { return "translate(0," + i * 20 + ")"; });
legend.append("rect")
.attr("x", width - 18)
.attr("width", 18)
.attr("height", 18)
.style("fill", color);
legend.append("text")
.attr("x", width - 24)
.attr("y", 9)
.attr("dy", ".35em")
.style("text-anchor", "end")
.text(function(d) { return d; });
});
function updateData() {
d3.csv("after.csv", function(error, data) {
color.domain(d3.keys(data[0]).filter(function(key) { return key !== "Servers"; }));
data.forEach(function(d) {
var y0 = 0;
d.ages = color.domain().map(function(name) { return {name: name, y0: y0, y1: y0 += +d[name]}; });
d.total = d.ages[d.ages.length - 1].y1;
});
x.domain(data.map(function(d) { return d.Servers; }));
y.domain([0, d3.max(data, function(d) { return d.total; })]);
svg.select(".x.axis").transition()
.duration(750)
.call(xAxis);
svg.select(".y.axis").transition()
.duration(750)
.call(yAxis);
var servers = svg.selectAll(".servers")
.data(data)
.enter().append("g")
.attr("class", "g")
.attr("transform", function(d) { return "translate(" + x(d.Servers) + ",0)"; });
servers.selectAll("rect")
.data(function(d) { return d.ages; })
.enter().append("rect")
.transition()
servers.attr("width", x.rangeBand())
.attr("y", function(d) { return y(d.y1); })
.attr("height", function(d) { return y(d.y0) - y(d.y1); })
.style("fill", function(d) { return color(d.name); });
});
}
function revertData() {
d3.csv("before.csv", function(error, data) {
color.domain(d3.keys(data[0]).filter(function(key) { return key !== "Servers"; }));
data.forEach(function(d) {
var y0 = 0;
d.ages = color.domain().map(function(name) { return {name: name, y0: y0, y1: y0 += +d[name]}; });
d.total = d.ages[d.ages.length - 1].y1;
});
x.domain(data.map(function(d) { return d.Servers; }));
y.domain([0, d3.max(data, function(d) { return d.total; })]);
svg.select(".x.axis").transition()
.duration(750)
.call(xAxis);
svg.select(".y.axis").transition()
.duration(750)
.call(yAxis);
var servers = svg.selectAll(".servers")
.data(data)
.enter().append("g")
.attr("class", "g")
.attr("transform", function(d) { return "translate(" + x(d.Servers) + ",0)"; });
servers.selectAll("rect")
.data(function(d) { return d.ages; })
.enter().append("rect")
.transition()
.attr("width", x.rangeBand())
.attr("y", function(d) { return y(d.y1); })
.attr("height", function(d) { return y(d.y0) - y(d.y1); })
.style("fill", function(d) { return color(d.name); });
});
}
</script>
</body>
before.csv:
Servers,Group 1,Group 2,Group 3,Group 4,Group 5,Group 6,Group 7,Group 8,Group 9,Group 10
Server 1,2,0,0,0,0,3,1,0,0,1
Server 2,1,0,2,0,0,0,2,1,1,0
Server 3,2,0,1,0,2,2,1,0,0,0
Server 4,0,0,1,0,0,2,0,2,1,0
Server 5,0,0,0,2,0,1,1,1,1,3
Server 6,5,0,0,1,0,1,1,1,0,3
Server 7,1,0,2,3,0,0,0,0,0,2
Server 8,3,1,0,1,0,0,1,1,1,0
Server 9,0,1,0,0,0,0,1,0,1,0
Server 10,1,2,1,1,0,2,2,2,0,1
Server 11,2,1,1,0,1,2,2,2,3,0
Server 12,1,0,1,1,0,0,0,0,2,1
after.csv:
Servers,Group 1,Group 2,Group 3,Group 4,Group 5,Group 6,Group 7,Group 8,Group 9,Group 10
Server 1,0,0,0,0,0,13,0,0,0,0
Server 2,0,0,9,0,0,0,12,0,0,0
Server 3,0,0,0,0,3,0,0,0,0,0
Server 4,0,0,0,0,0,0,0,10,10,0
Server 5,0,0,0,0,0,0,0,0,0,11
Server 6,18,0,0,0,0,0,0,0,0,0
Server 7,0,0,0,9,0,0,0,0,0,0
Server 8,0,0,0,0,0,0,0,0,0,0
Server 9,0,0,0,0,0,0,0,0,0,0
Server 10,0,5,0,0,0,0,0,0,0,0
Server 11,0,0,0,0,0,0,0,0,0,0
Server 12,0,0,0,0,0,0,0,0,0,0
The problem is that whenever I press the buttons instead of it just displaying the new graph, the graphs overlap.
I'm fairly new to d3, so I was having trouble making it so that after a button press only the specified graph is displayed.
I've looked into different ways to use the transition, exit, and remove functions that are built into d3, but can't seem to get it right.
Can someone please point me in the right direction?
Instead of using the body to append. Add something like this:
<div id="chart"></div>
And change the variable to
var svg = d3.select("#chart").append("svg")....
After doing this, you can remove inside the elements inside using
$("#chart").empty();
in your updateData and revertData method.
Or if you want use only d3js code in a simply way which I use mostly
d3.select("svg").remove();
Related
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transition between two datasets, from a single line chart to a multiline chart, in d3
I'm trying to build a chart that goes from 1 line to many lines. I have built the two charts separately, but am having trouble combining them. The idea is that I want to show the total of all fruit sold per year, and then show how much of each fruit is sold per year. This is the template I'm working from: http://bl.ocks.org/d3noob/a048edddbf83bff03a34 In my code, the single line shows up fine. When I click update, the axes update as they should, but the data doesn't. Any help would be greatly appreciated. My code is in a plunker, here: https://plnkr.co/edit/dgwsGLIRbZ2qm7faEvSw?p=preview The code is also below. <!DOCTYPE html> <meta charset="utf-8"> <style> body { font: 12px Arial;} path { stroke: #333; stroke-width: 2; fill: none; } .axis path, .axis line { fill: none; stroke: grey; stroke-width: 1; shape-rendering: crispEdges; } </style> <body> <div id="option"> <input name="updateButton" id="updateData" type="button" value="Update" /> <input name="revertButton" type="button" value="Revert" onclick="revertData()" /> </div> <script src="https://d3js.org/d3.v4.min.js"></script> <script src="//code.jquery.com/jquery-1.10.2.js"></script> <script> var margin = {top: 30, right: 20, bottom: 30, left: 50}, width = 800 - margin.left - margin.right, height = 470 - margin.top - margin.bottom; var x = d3.scaleLinear().range([0, width]); var y = d3.scaleLinear().range([height, 0]); var xAxis = d3.axisBottom().scale(x) .ticks(7) .tickFormat(d3.format("d")) var yAxis = d3.axisLeft().scale(y) .ticks(5); var valueline = d3.line() .x(function(d) { return x(d.Year); }) .y(function(d) { return y(d.Count); }); 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.csv("datab.csv", function(error, data2) { d3.csv("dataa.csv", function(error, data) { data.forEach(function(d) { d.Year = +d.Year; d.Count = +d.Count; }); x.domain(d3.extent(data, function(d) { return d.Year; })); y.domain([0, d3.max(data, function(d) { return d.Count; })]); dataNest1 = d3.nest() .key(function(d) {return d.Type;}) .entries(data); var result1 = dataNest1.filter(function(val,idx, arr){ return $("." + val.key) }) var calls = d3.select("svg").selectAll(".line") .data(result1, function(d){return d.key}) var color1 = d3.scaleOrdinal().range(["#333", "none", "none", "none", "none", "none"]); calls.enter().append("path") .attr("class", "line") .attr("stroke","#333") .attr("d", function(d){ return valueline(d.values) }) .attr("transform", "translate(" + margin.left + "," + margin.top + ")"); svg.append("g") .attr("class", "x axis") .attr("transform", "translate(0," + height + ")") .call(xAxis); svg.append("g") .attr("class", "y axis") .call(yAxis); d3.select('#updateData').on('click',function(){ updateData(data2) }) }); }); function updateData(data2) { data2.forEach(function(d) { d.Year = +d.Year; d.Count = +d.Count; }); dataNest = d3.nest() .key(function(d) {return d.Descriptor;}) .entries(data2); var result = dataNest.filter(function(val,idx, arr){ return $("." + val.key) }) x.domain(d3.extent(data2, function(d) { return d.Year; })); y.domain([0, d3.max(data2, function(d) { return d.Count; })]); var svg = d3.select("body").transition(); svg.selectAll('.circle').duration(0).remove() d3.select("svg").selectAll(".line") .data(result, function(d){return d.key}) d3.select("svg").selectAll("path.line") .transition() .duration(700) .style("stroke", "#333") .attr("d", function(d){ return valueline(d.values) }); // svg.select(".line") // change the line // .duration(750) // .attr("d", valueline(rats)); svg.select(".x.axis") .transition() .duration(750) .call(xAxis); svg.select(".y.axis") .duration(750) .call(yAxis); } function revertData() { // Get the data again d3.csv("totalsbyyear.csv", function(error, data) { data.forEach(function(d) { d.Year = +d.Year; d.Count = +d.Count; }); // Scale the range of the data again x.domain(d3.extent(data, function(d) { return d.Year; })); y.domain([0, d3.max(data, function(d) { return d.Count; })]); // Select the section we want to apply our changes to var svg = d3.select("body").transition(); // Make the changes svg.select(".line") // change the line .duration(750) .attr("d", valueline(data)); svg.select(".x.axis") // change the x axis .duration(750) .call(xAxis); svg.select(".y.axis") // change the y axis .duration(750) .call(yAxis); }); } </script> </body>
There are a few problems here. The first one being that your datasets are very different and I don't see anywhere in the code to compensate for there being multiple different fruit in the same year. This is something you will need to address either by modifying your csv file or in your updateData function to extract just a single fruit. I have made some changes to your plunker that will allow the updateFunction to work but without fixing the input data it won't really matter. https://plnkr.co/edit/DSg09NWPrBADLLbcL5cx?p=preview The main thing that needed to be fixed was d3.select("svg").selectAll("path.line") .data(result, function(d){return d.key}) .transition() .duration(700) .style("stroke", "#337") .attr("d", function(d){ return valueline(result) }); And putting the d3.csv on datab.csv call in the updateData function instead of wrapping it around the main table creation function.
I was probably being unclear in my question asking. I figured out what I needed to do to make it work as intended. Code here: https://plnkr.co/edit/YrABkbc8l9oeT1ywMspy?p=preview <!DOCTYPE html> <meta charset="utf-8"> <style> body { font: 12px Arial;} path { stroke: #333; stroke-width: 2; fill: none; } .axis path, .axis line { fill: none; stroke: grey; stroke-width: 1; shape-rendering: crispEdges; } </style> <body> <div id="option"> <input name="updateButton" id="updateData" type="button" value="Update" /> <input name="revertButton" type="button" value="Revert" onclick="revertData()" /> </div> <script src="https://d3js.org/d3.v4.min.js"></script> <script src="//code.jquery.com/jquery-1.10.2.js"></script> <script> var margin = {top: 30, right: 200, bottom: 30, left: 50}, width = 850 - margin.left - margin.right, height = 470 - margin.top - margin.bottom; var x = d3.scaleLinear().range([0, width]); var y = d3.scaleLinear().range([height, 0]); var xAxis = d3.axisBottom().scale(x) .ticks(7) .tickFormat(d3.format("d")) var yAxis = d3.axisLeft().scale(y) .ticks(5); var valueline = d3.line() .x(function(d) { return x(d.Year); }) .y(function(d) { return y(d.Count); }); 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.csv("datab.csv", function(error, data2) { d3.csv("dataa.csv", function(error, data) { data.forEach(function(d) { d.Year = +d.Year; d.Count = +d.Count; }); x.domain(d3.extent(data, function(d) { return d.Year; })); y.domain([0, d3.max(data, function(d) { return d.Count; })]); svg.append("path") .attr("class", "line") .attr("d", valueline(data)); svg.append("text") .attr("transform", function(d) { return "translate(" + x(2017) + "," + y(35074) + ")"; }) .attr("x", 3) .attr("dy", "0.35em") .attr('class','toplinetext') .style("font", "10px sans-serif") .text(function(d) { return "All"; }); circles = svg.selectAll("circle") .data(data) .enter() .append("circle") .attr('class','circle') .attr('cx',function(d){ return x(d.Year)}) .attr('cy',function(d){ return y(d.Count)}) .attr('r',3) svg.append("g") .attr("class", "x axis") .attr("transform", "translate(0," + height + ")") .call(xAxis); svg.append("g") .attr("class", "y axis") .call(yAxis); svg.exit().remove(); d3.select('#updateData').on('click',function(){ updateData(data2) }) }); }); function updateData(data2) { data2.forEach(function(d) { d.Year = +d.Year; d.Count = +d.Count; }); var notapples = data2.filter(function(d){return d.Descriptor == "Peach" || d.Descriptor == "Pear" || d.Descriptor == "Plum" || d.Descriptor == "Banana"}) dataNest = d3.nest() .key(function(d) {return d.Descriptor;}) .entries(notapples); var result = dataNest.filter(function(val,idx, arr){ return $("." + val.key) }) $('.toplinetext').text('Apples'); x.domain(d3.extent(data2, function(d) { return d.Year; })); y.domain([0, d3.max(data2, function(d) { return d.Count; })]); var svg = d3.select("body").transition(); svg.selectAll('.circle').duration(0).remove() var typeOfCall = d3.select("svg").selectAll(".dline") .data(result, function(d){return d.key}) .enter().append("g") .attr("class", function(d){return "type " + d.key}) .attr("transform", "translate(" + margin.left + "," + margin.top + ")"); var color2 = d3.scaleOrdinal().range(["#ff0000", "#333", "#333", "#333", "#333", "#333"]); typeOfCall.append("path") .attr("height", 0) .transition() .duration(700) .attr("class", "line") .style("stroke", function(d,i) { return color2(d.key); }) .attr("d", function(d){ return valueline(d.values) }); typeOfCall.append("text") .datum(function(d) { return {id: d.Descriptor, value: d.values[d.values.length - 1]}; }) .attr("transform", function(d) { return "translate(" + x(d.value.Year) + "," + y(d.value.Count) + ")"; }) .attr("x", 3) .attr("dy", "0.35em") .style("font", "10px sans-serif") .text(function(d) { return d.value.Descriptor; }); typeOfCall.exit().remove(); apples = data2.filter(function(d){return d.Descriptor == "Apple"}) svg.select(".line") .duration(750) .attr("d", valueline(apples)); svg.select(".x.axis") .transition() .duration(750) .call(xAxis); svg.select(".y.axis") .duration(750) .call(yAxis); } function revertData() { // Get the data again d3.csv("totalsbyyear.csv", function(error, data) { data.forEach(function(d) { d.Year = +d.Year; d.Count = +d.Count; }); $('.toplinetext').text('All'); $('.Peach,.Pear,.Banana,.Plum').remove(); // Scale the range of the data again x.domain(d3.extent(data, function(d) { return d.Year; })); y.domain([0, d3.max(data, function(d) { return d.Count; })]); // Select the section we want to apply our changes to var svg = d3.select("body").transition(); // Make the changes svg.select(".line") // change the line .duration(750) .attr("d", valueline(data)); svg.select(".x.axis") // change the x axis .duration(750) .call(xAxis); svg.select(".y.axis") // change the y axis .duration(750) .call(yAxis); }); } </script> </body>
JavaScript , D3 bar graph error
This is the script/html i am not sure what the problem here is the error I keep arriving at is. I messed around with the y and heigh variables but i am unable to get to a solution. Changed the parameters, changed values but of no avail. Please assist. Error: Invalid value for attribute y="NaN" Error: Invalid value for attribute height="NaN" This is the ERRORS <!DOCTYPE html> <meta charset="utf-8"> <style> .bar { fill: steelblue; } .bar:hover { fill: brown; } .axis { font: 10px sans-serif; } .axis path, .axis line { fill: none; stroke: #000; shape-rendering: crispEdges; } .x.axis path { display: none; } </style> <body> <script src="//d3js.org/d3.v3.min.js"></script> <script> var margin = {top: 20, right: 20, bottom: 30, left: 40}, width = 960 - margin.left - margin.right, height = 500 - margin.top - margin.bottom; var x = d3.scale.ordinal() .rangeRoundBands([0, width], .1); var y = d3.scale.linear() .range([height, 0]); var xAxis = d3.svg.axis() .scale(x) .orient("bottom") .ticks(1) var yAxis = d3.svg.axis() .scale(y) .orient("left") .ticks(1.0); 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.csv("Unemployment.csv", type, function(error, data) { if (error) throw error; x.domain([0, d3.max(data, function(d) { return d.letter; })]); y.domain([0, d3.max(data, function(d) { return d.frequency; })]); 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("Frequency"); svg.selectAll(".bar") .data(data) .enter().append("rect") .attr("class", "bar") .attr("x", function(d) { return x(d.letter); }) .attr("width", x.rangeBand()) .attr("y", function(d) { return y(d.frequency); }) .attr("height", function(d) { return height - y(d.frequency); }); }); function type(d) { d.frequency = +d.frequency; return d; } </script> Ward,Unemployment 1,4.5 2,4.3 3,4.0 4,5.7 5,7.9 6,5.2 7,11.0 8,14.2
If you log your data after the d3.csv("Unemployment.csv", type, function(error, data) { call you would see that it will contain an array of object with the keys Ward and Unemployment. However, in several cases such as: x.domain([0, d3.max(data, function(d) { return d.letter; })]); y.domain([0, d3.max(data, function(d) { return d.frequency; })]); And svg.selectAll(".bar") .data(data) .enter().append("rect") .attr("class", "bar") .attr("x", function(d) { return x(d.letter); }) .attr("width", x.rangeBand()) .attr("y", function(d) { return y(d.frequency); }) .attr("height", function(d) { return height - y(d.frequency); }); your code expects the letter and frequency keys to be present. Changing these to ward and unemployment would solve this issue
D3 bar charts bar values display is improper
I want to display the bar charts each bar peak value at the outer top of each bar. But as far as i could get is to represent each bar value inside the bar. But thats not what i wanted. As you can see in the image attached the bottom of the x axis is messed up. I think we have to move the svg code out of the data loop and use svg.data(someData).enter() to fix this issue but i tried ways to do it but unsuccessful. Kindly suggest how i can modify the follow code. <!DOCTYPE html> <meta charset="utf-8"> <style> .axis { font: 12px sans-serif; } .axis path, .axis line { fill: none; stroke: #000; shape-rendering: crispEdges; } .chart text { fill: black; font: 15px sans-serif; text-anchor: middle; } </style> <svg class="chart"></svg> <script src="http://d3js.org/d3.v3.min.js"></script> <script> var margin = {top: 30, right: 80, bottom: 40, left: 100}, width = 960 - margin.left - margin.right, height = 500 - margin.top - margin.bottom; var color = d3.scale.category10(); var x = d3.scale.ordinal() .rangeRoundBands([0, width], .2); 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"); function unit (d) { count = 0, download = 0; num = d.value; while((num) >= 1) { num/=10; ++count; } switch (count) { case 4 : download = ((d.value/1000).toFixed(2)) + " MB" ; break; case 8 : download = ((d.value/1000 * 1000).toFixed(2)) + " GB" ; break; default: download = ((d.value/1000).toFixed(2)) + " MB" ; } return download; } var chart = d3.select("body").append("svg") // line = 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 + ")"); var bar; d3.csv("data.csv", type, function(error, data) { x.domain(data.map(function(d) { return d.name; })); y.domain([0, d3.max(data, function(d) { return d.value; })]); chart.append("g") .attr("class", "x axis") .attr("transform", "translate(0," + height + ")") .call(xAxis) .append("text") .attr("x", 790 ) .attr("y", 15 ) .style("text-anchor", "bottom") .text("Clients"); chart.append("g") .attr("class", "y axis") .call(yAxis) .append("text") //.attr("transform", "rotate(-90)") .attr("y", 1) .attr("dy", ".71em") .style("text-anchor", "end") .text("Kilo Bytes"); bar = chart.selectAll("g") .data(data) .enter().append("g") .attr("transform", function(d) { return "translate(" + x(d.name) + ",0)"; }); bar.append("rect") .style("fill", function(d) { return color(d.name); }) .attr("y", function(d) { return y(d.value);}) .attr("height", function(d) { return height - y(d.value); }) .attr("width", x.rangeBand()); bar.append("text") .attr("x", x.rangeBand() / 2 ) .attr("y", function(d) { return y(d.value) + 2 ; }) .attr("dy", "1em") .attr("text-anchor", "middle") .attr("font-size", "14px") .attr("fill", "black") .text(function(d) { return unit(d); }); }); function type(d) { d.value = +d.value; // coerce to number return d; } </script> and the data is in the csv format as below: name,timesatmp,value 98.226.148.140,1341677167454,1 98.226.148.140,1341677167461,3 98.226.148.141,1341677167916,4 98.226.148.141,1341677167935,6 98.226.148.142,1341677167944,7 98.226.148.142,1341677167945,32 Kindly suggest how i can show the display properly.
First modify your bar charts a little, otherwise no bars will be shown there: html: <svg class="chart"></svg> to <body class="chart"></body> js: bar = chart.selectAll(".bar") .data(data) .enter().append("g") .attr('class', 'bar') .attr("transform", function(d) { return "translate(" + x(d.name) + ",0)"; }); and for adjusting the peak value, just add a translate as follows: bar.append("text") .attr("x", x.rangeBand() / 2 ) .attr("y", function(d) { return y(d.value) + 2 ; }) .attr("dy", "1em") .attr("text-anchor", "middle") .attr("font-size", "14px") .attr("fill", "black") .attr("transform", function(d) { return "translate(0, -20)"; }) .text(function(d) { return unit(d); });
Rplace: d3.csv("data.csv", type, function(error, data) { x.domain(data.map(function(d) { return d.name; })); y.domain([0, d3.max(data, function(d) { return d.value; })]); with: d3.csv("data.csv", type, function(error, data) { x.domain(data.map(function(d) { return d.name; })); y.domain([0, d3.max(data, function(d) { return d.value; })]); var nestedData = d3.nest() .key(function(d) { return d.name; }).entries(data); var newData = []; nestedData.forEach(function(d){ newData.push({name:d.key, value: d3.max(d.values, function(d) {return d.value})}); });
D3.js with update button adds new data to old instead of replacing old data
I've got an update button working that loads new .csv data into a D3.s stacked bar chart. My problem is that on update it seems to be using both data sets instead of just the new one. I think this is related to some confusion I have about update and selectAll, but I haven't been able to figure out how to replace instead of append. Here's my current code: <!DOCTYPE html> <meta charset="utf-8"> <style> body { font: 10px sans-serif; } .axis path, .axis line { fill: none; stroke: #000; shape-rendering: crispEdges; } .bar { fill: steelblue; } .x.axis path { display: none; } </style> <body> <!-- <label><input type="checkbox"> Sort values</label> --> <div id="option"> <input name="updateButton" type="button" value="Update" onclick="updateData()" /> </div> <script src="http://d3js.org/d3.v3.min.js"></script> <script> var margin = {top: 20, right: 20, bottom: 200, left: 40}, width = 960 - margin.left - margin.right, height = 650 - margin.top - margin.bottom; var x = d3.scale.ordinal() .rangeRoundBands([0, width], .1); var y = d3.scale.linear() .rangeRound([height, 0]); var color = d3.scale.ordinal() .range(["#98abc5", "#8a89a6", "#7b6888", "#6b486b", "#a05d56", "#d0743c", "#ff8c00"]); var xAxis = d3.svg.axis() .scale(x) .orient("bottom"); var yAxis = d3.svg.axis() .scale(y) .orient("left") .tickFormat(d3.format(".2s")); 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.csv("FinalData4.csv", function(error, data) { color.domain(d3.keys(data[0]).filter(function(key) { return key !== "State"; })); data.forEach(function(d) { var y0 = 0; d.ages = color.domain().map(function(name) { return {name: name, y0: y0, y1: y0 += +d[name]}; }); d.total = d.ages[d.ages.length - 1].y1; }); //data.sort(function(a, b) { return b.total - a.total; }); x.domain(data.map(function(d) { return d.State; })); y.domain([0, d3.max(data, function(d) { return d.total; })]); // x-axis label svg.append("g") .attr("class", "x axis") .attr("transform", "translate(0," + height + ")") .call(xAxis) .selectAll("text") .style("text-anchor", "end") .attr("dx", "-.8em") .attr("dy", ".15em") .attr("transform", function(d) { return "rotate(-65)" }); // y-axis label 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("USD in Millions"); // adds bars var state = svg.selectAll(".state") .data(data) .enter().append("g") .attr("class", "g") .attr("transform", function(d) { return "translate(" + x(d.State) + ",0)"; }); state.selectAll("rect") .data(function(d) { return d.ages; }) .enter().append("rect") .attr("width", x.rangeBand()) .attr("y", function(d) { return y(d.y1); }) .attr("height", function(d) { return y(d.y0) - y(d.y1); }) .style("fill", function(d) { return color(d.name); }); // set up the legend var legend = svg.selectAll(".legend") .data(color.domain().slice().reverse()) .enter().append("g") .attr("class", "legend") .attr("transform", function(d, i) { return "translate(0," + i * 20 + ")"; }); legend.append("rect") .attr("x", width - 18) .attr("width", 18) .attr("height", 18) .style("fill", color); legend.append("text") .attr("x", width - 24) .attr("y", 9) .attr("dy", ".35em") .style("text-anchor", "end") .text(function(d) { return d; }); }); // ** Update data section (Called from the onclick) function updateData() { // Get the data again d3.csv("FinalData2015.csv", function(error, data2) { color.domain(d3.keys(data2[0]).filter(function(key) { return key !== "State"; })); data2.forEach(function(d) { var y0 = 0; d.ages = color.domain().map(function(name) { return {name: name, y0: y0, y1: y0 += +d[name]}; }); d.total = d.ages[d.ages.length - 1].y1; }); x.domain(data2.map(function(d) { return d.State; })); y.domain([0, d3.max(data2, function(d) { return d.total; })]); var tran = d3.select("body").transition(); // change x-axis label tran.select(".x.axis") .duration(1000) .call(xAxis) .selectAll("text") .style("text-anchor", "end") .attr("dx", "-.8em") .attr("dy", ".15em") .attr("transform", function(d) { return "rotate(-65)" }); // change the y-axis label tran.select(".y.axis") .duration(1000) .call(yAxis); // adds bars var state = svg.selectAll(".State") .data(data2) .enter().append("g") //.transition() //.duration(1000) .attr("class", "g") .attr("transform", function(d) { return "translate(" + x(d.State) + ",0)"; }); var test = state.selectAll("rect") .data(function(d) { return d.ages; }) .enter().append("rect") .transition() .duration(1000) .attr("width", x.rangeBand()) .attr("y", function(d) { return y(d.y1); }) .attr("height", function(d) { return y(d.y0) - y(d.y1); }) .style("fill", function(d) { return color(d.name); }); }); } </script> </body> UPDATE: I changed the functionUpdateData() code to what I have currently because I realized it had some junk in there. New code has working transitions for x and y axis labels, but still the same problem described above with the actual bars.
It is because you are not using update and exiting joins in the update function (read this article carefully http://bost.ocks.org/mike/join/). As far I understand, you want to update the existing csv data with the new one, for that you need to update the current set of data. I'll give you an example with a simpler code: function updateData() { //this is the new data that you are binding to some circles on the canvas var circle = svg.selectAll("circle").data([200, 100, 50,10,5]); //if there is new data, you get those new circles with the enter() method var circleEnter = circle.enter().append("circle"); circleEnter.attr("cy", 60); circleEnter.attr("cx", function(d, i) { return i * 100 + 30; }); circleEnter.attr("r", function(d) { return Math.sqrt(d); }); //------THIS IS THE PART YOU ARE MISSING------ //but the circles that already exist need an update. (check there is no enter() method here) circle.attr("r", function(d) { return Math.sqrt(d); }); //also you need to remove the circles that donĀ“t have a data binding. circle.exit().remove(); } so I think that in your code you have to write something like: var state = svg.selectAll(".state").data(data); //the update data state.attr("transform", function(d) { return "translate(" + x(d.State) + ",0)"; });