I came through this problem just when I though I had d3 undercontrol... I can't find out why my code is crashing when I update my barChart using an empty array of data...
here is my code:
<!DOCTYPE html>
<html>
<head>
<title>Simple tables in D3</title>
<meta charset="utf-8">
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.6/d3.min.js" charset="utf-8"></script>
<style type="text/css">
.chart rect {
fill: steelblue;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.x.axis path {
display: none;
}
.axis {
font: 10px sans-serif;
}
</style>
</head>
<body>
<svg class="chart">
</svg>
<script>
var scanCounters = JSON.parse("[{\"scan\":\"111\",\"repetition\":3},{\"scan\":\"222\",\"repetition\":2},{\"scan\":\"333\",\"repetition\":4},{\"scan\":\"123\",\"repetition\":2},{\"scan\":\"456\",\"repetition\":1},{\"scan\":\"789\",\"repetition\":1}]");
var scanCounters2 = JSON.parse("[{\"scan\":\"111\",\"repetition\":8},{\"scan\":\"222\",\"repetition\":6},{\"scan\":\"333\",\"repetition\":5},{\"scan\":\"123\",\"repetition\":3}]");
var scanCounters3 = JSON.parse("[]");
var columns = ["scan", "repetition"];
var margin = {top: 20, right: 30, bottom: 30, left: 40};
var width = 960;
var height = 500;
var innerWidth = width - margin.left - margin.right;
var innerHeight = height - margin.top - margin.bottom;
var bcScan = barChart(600, 400, "chart");
bcScan.update(scanCounters);
setTimeout(function(){
bcScan.update(scanCounters2);
}, 1000);
setTimeout(function(){
bcScan.update(scanCounters3);
}, 2000);
function barChart(w, h, node) {
var bC = {};
var margin = {top: 20, right: 20, bottom: 30, left: 40},
width = w - margin.left - margin.right,
height = h - 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");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left");
var svg = d3.select("." + node)
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")");
svg.append("g")
.attr("class", "y axis")
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", -40)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("Frequency");
bC.update = function(data) {
x.domain(data.map(function (d) {
return d[Object.keys(d)[0]];
}));
y.domain([0, d3.max(data, function (d) {
return d[Object.keys(d)[1]];
})]);
svg.select(".x.axis")
.transition()
.duration(300).call(xAxis)
.selectAll("text")
.style("text-anchor", "end")
.attr("dx", "-.8em")
.attr("dy", ".15em")
.attr("transform", "rotate(-65)");
svg.select(".y.axis")
.transition()
.duration(300)
.call(yAxis);
var bars = svg.selectAll(".bar").data(data, function (d) {
return d[Object.keys(d)[0]];
});
bars.exit()
.transition()
.duration(300)
.attr("y", y(0))
.attr("height", height - y(0))
.style('fill-opacity', 1e-6)
.remove();
bars.enter()
.append("rect")
.attr("class", "bar")
.attr("y", y(0))
.attr("height", height - y(0));
var trans = bars.transition().duration(300).attr("x", function (d) {
return x(d[Object.keys(d)[0]]);
});
trans.attr("width", x.rangeBand())
.attr("y", function (d) {
return y(d[Object.keys(d)[1]]);
})
.attr("height", function (d) {
return height - y(d[Object.keys(d)[1]]);
});
};
return bC;
}
</script>
</body>
</html>
The problem is when I call bcScan.update(scanCounters3); where scanCounters3 is an empty array.
This is the error message:
Error: Invalid value for attribute height="NaN"
Error: Invalid value for attribute y="NaN"
QUESTON: Could someone help me to understand why it is crashing?
thanks
#EthanJewett, is correct, if you look at your y.domain() on each iteration you get:
[0, 4]
[0, 8]
[0, NaN]
So on your last iteration, your exit transition is doing math on an NaN:
.attr("y", y(0))
.attr("height", height - y(0))
I would just drop those lines altogether and make the exit transition:
bars.exit()
.transition()
.duration(300)
.style('fill-opacity', 1e-6)
.remove();
Related
Recently, maybe after updating Java, I'm unable to load a scatter plot on Chrome, Firefox or Internet Explorer.
One month ago, everything loaded fine. I don't know what happened. I've updated Java to the last version and enabled ActiveX on Internet options, but nothing works for me.
I'll paste the html code. It loads the point info using a csv file saved in the same folder:
<!DOCTYPE html> <meta charset="utf-8"> <style>
body { font: 12px Arial;}
.axis path, .axis line { fill: none; stroke: grey; stroke-width: 1;
shape-rendering: crispEdges; }
</style> <body>
<script src="http://d3js.org/d3.v4.js"></script> <script>
// Set the dimensions of the canvas / graph var margin = {top: 30, right: 20, bottom: 50, left: 60}, width = 900 - margin.left - margin.right, height = 360 - margin.top - margin.bottom;
// Parse the date / time
var parseDate = d3.timeParse("%a %b %d %H:%M:%S %Z %Y "); // Set the ranges
var y = d3.scaleTime().range([height, 0]); var x = d3.scaleLinear().range([0, width]);
// Define the axes
var xAxis = d3.axisBottom().scale(x) .ticks(5);
var yAxis = d3.axisLeft().scale(y)
.ticks(5);
// Adds the svg canvas 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 + ")"); // Get the data
d3.csv("data.csv", function(error, data) { var max = data.length; console.log(max)
data.forEach(function(d, i) { d.dateParsed = parseDate(d.date); d.close = max - i;
}); // Scale the range of the data
y.domain(d3.extent(data, function(d) { return d.dateParsed; })); x.domain([0, d3.max(data, function(d) { return d.close; })]);
// Add the scatterplot svg.selectAll("dot") .data(data)
.enter().append("circle") .attr("r", 0.5)
.attr("fill","#2980B9")
.attr("cy", function(d) { return y(d.dateParsed); }) .attr("cx", function(d) { return x(d.close); });
svg.append("g") .attr("class", "x axis")
.attr("transform", "translate(0," + height + ")") .call(xAxis);
svg.append("text") .attr("class", "x label") .attr("text-anchor", "middle") .attr("x", width / 2) .attr("y", height + 40) .text("followers");
svg.append("g")
.attr("class", "y axis") .call(yAxis);
svg.append("text") .attr("class", "y label") .attr("text-anchor", "middle") .attr("x", -height / 2 ) .attr("y", -50)
.attr("transform", "rotate(-90)") .text("account creation date");
});
</script> </body>
It looks like main issue is code is not formatted properly.
Many comments get mixed with the code caused the syntax errors.
I try to format the code and try to fix those errors.
As we don't have your data.csv file so we are not able to load that data but code creates the chart now.
You can try to use this code on your side with your data.csv file. It will help you to load the chart properly.
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<style>
body { font: 12px Arial;}
.axis path, .axis line { fill: none; stroke: grey; stroke-width: 1;
shape-rendering: crispEdges; }
</style>
</head>
<body>
<script src="http://d3js.org/d3.v4.js"></script> <script>
// Set the dimensions of the canvas / graph
var margin = {top: 30, right: 20, bottom: 50, left: 60}, width = 900 - margin.left - margin.right, height = 360 - margin.top - margin.bottom;
// Parse the date / time
var parseDate = d3.timeParse("%a %b %d %H:%M:%S %Z %Y "); // Set the ranges
var y = d3.scaleTime().range([height, 0]); var x = d3.scaleLinear().range([0, width]);
// Define the axes
var xAxis = d3.axisBottom().scale(x) .ticks(5);
var yAxis = d3.axisLeft().scale(y)
.ticks(5);
// Adds the svg canvas
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 + ")"); // Get the data
d3.csv("data.csv", function(error, data) { var max = data.length;
console.log(max);
data.forEach(function(d, i) { d.dateParsed = parseDate(d.date); d.close = max - i;
});
// Scale the range of the data
y.domain(d3.extent(data, function(d) { return d.dateParsed; })); x.domain([0, d3.max(data, function(d) { return d.close; })]);
// Add the scatterplot
svg.selectAll("dot") .data(data)
.enter().append("circle") .attr("r", 0.5)
.attr("fill","#2980B9")
.attr("cy", function(d) { return y(d.dateParsed); }) .attr("cx", function(d) { return x(d.close); });
svg.append("g") .attr("class", "x axis")
.attr("transform", "translate(0," + height + ")") .call(xAxis);
svg.append("text") .attr("class", "x label") .attr("text-anchor", "middle") .attr("x", width / 2) .attr("y", height + 40) .text("followers");
svg.append("g")
.attr("class", "y axis") .call(yAxis);
svg.append("text") .attr("class", "y label") .attr("text-anchor", "middle") .attr("x", -height / 2 ) .attr("y", -50)
.attr("transform", "rotate(-90)") .text("account creation date");
});
</script>
</body>
</html>
I followed this blog here and here's the code that I'm trying to run on my Jupyter Notebook - essentially a simple scatter plot from the iris dataset.
from IPython.core.display import display, HTML
from string import Template
import pandas as pd
import json, random
HTML('<script src="./d3.min.js"></script>')
filename = 'https://gist.githubusercontent.com/mbostock/3887118/raw/2e68ffbeb23fe4dadd9b0f6bca62e9def6ee9e17/data.tsv'
iris = pd.read_csv(filename,sep="\t")
iris_array_of_dicts = iris.to_dict(orient='records')
css_text = '''
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.dot {
stroke: #000;
}
'''
js_text_template = Template('''
var margin = {top: 20, right: 20, bottom: 30, left: 40},
// **** width = 960 - margin.left - margin.right, ****
// **** height = 500 - margin.top - margin.bottom; ****
width = 720 - margin.left - margin.right,
height = 375 - margin.top - margin.bottom;
var x = d3.scale.linear()
.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 svg = d3.select("body").append("svg") ****
var svg = d3.select("#$graphdiv").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; ****
var data = $python_data ;
data.forEach(function(d) {
d.sepalLength = +d.sepalLength;
d.sepalWidth = +d.sepalWidth;
});
x.domain(d3.extent(data, function(d) { return d.sepalWidth; })).nice();
y.domain(d3.extent(data, function(d) { return d.sepalLength; })).nice();
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis)
.append("text")
.attr("class", "label")
.attr("x", width)
.attr("y", -6)
.style("text-anchor", "end")
.text("Sepal Width (cm)");
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("class", "label")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("Sepal Length (cm)")
svg.selectAll(".dot")
.data(data)
.enter().append("circle")
.attr("class", "dot")
.attr("r", 3.5)
.attr("cx", function(d) { return x(d.sepalWidth); })
.attr("cy", function(d) { return y(d.sepalLength); })
.style("fill", function(d) { return color(d.species); });
var legend = svg.selectAll(".legend")
.data(color.domain())
.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; });
// **** }); ****
''')
html_template = Template('''
<style> $css_text </style>
<div id="graph-div"></div>
<script> $js_text </script>
''')
js_text = js_text_template.substitute({'python_data': json.dumps(iris_array_of_dicts),
'graphdiv': 'graph-div'})
HTML(html_template.substitute({'css_text': css_text, 'js_text': js_text}))
The code runs without errors but doesn't display any output.
I've also tried to use the display functionality but that still produces no results.
What am I doing wrong? My assumption is that since this is an old blog post, Jupyter has moved past supporting Javascript this way and I have to use cell and line magics now but I'm not sure as I'm new to Javascript.
I have just tried and figured out the problem.
If you look at the console log, the browser do not interpret d3. To solve it add to your code.
<script src="http://d3js.org/d3.v3.min.js" charset="utf-8"></script>
You will now see your nice plot
Here an exemple of update
In [1]:
from IPython.core.display import display, HTML
from string import Template
import pandas as pd
import json, random
HTML('<script src="./d3.min.js"></script>')
filename = 'https://gist.githubusercontent.com/mbostock/3887118/raw/2e68ffbeb23fe4dadd9b0f6bca62e9def6ee9e17/data.tsv'
iris = pd.read_csv(filename,sep="\t")
iris_array_of_dicts = iris.to_dict(orient='records')
css_text = '''
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.dot {
stroke: #000;
}
'''
js_text_template = Template('''
var margin = {top: 20, right: 20, bottom: 30, left: 40},
// **** width = 960 - margin.left - margin.right, ****
// **** height = 500 - margin.top - margin.bottom; ****
width = 720 - margin.left - margin.right,
height = 375 - margin.top - margin.bottom;
var x = d3.scale.linear()
.range([0, width]);
var y = d3.scale.linear()
.range([height, 0]);
var color = d3.scale.category10();
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left");
// **** var svg = d3.select("body").append("svg") ****
var svg = d3.select("#$graphdiv").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; ****
var data = $python_data ;
data.forEach(function(d) {
d.sepalLength = +d.sepalLength;
d.sepalWidth = +d.sepalWidth;
});
x.domain(d3.extent(data, function(d) { return d.sepalWidth; })).nice();
y.domain(d3.extent(data, function(d) { return d.sepalLength; })).nice();
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis)
.append("text")
.attr("class", "label")
.attr("x", width)
.attr("y", -6)
.style("text-anchor", "end")
.text("Sepal Width (cm)");
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("class", "label")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("Sepal Length (cm)")
svg.selectAll(".dot")
.data(data)
.enter().append("circle")
.attr("class", "dot")
.attr("r", 3.5)
.attr("cx", function(d) { return x(d.sepalWidth); })
.attr("cy", function(d) { return y(d.sepalLength); })
.style("fill", function(d) { return color(d.species); });
var legend = svg.selectAll(".legend")
.data(color.domain())
.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; });
// **** }); ****
''')
html_template = Template('''
<style > $css_text </style>
<div id="graph-div"></div>
<script > $js_text </script>
''')
js_text = js_text_template.substitute({'python_data': json.dumps(iris_array_of_dicts),
'graphdiv': 'graph-div'})
my_plot = html_template.substitute({'css_text': css_text, 'js_text': js_text})
d3_download = """ <script src="http://d3js.org/d3.v3.min.js" charset="utf-8" > </script>"""
my_plot = d3_download + my_plot
HTML(my_plot)
Out [1]:
Here is my problem : I an array with JSON object in it ad I would like to get the keys of JSON objects to build a bar chart with it.
Here is my array :
var dataset = [{
"T1": 4.23
},
{
"T2": 45.62
},
{
"T3": 24.78
},
{
"T4": 11.41
},
{
"T5": 5.19
},
{
"T6": 5.15
},
{
"T7": 1.99
},
{
"T8": 0.93
},
{
"T9": 0.61
}
];
And here is my code to draw the chart :
let width = 500;
let heigth = 200;
let barPadding = 1;
let svg = d3.select("#containerChart")
.append("svg")
.attr("width", width)
.attr("height", heigth);
svg.selectAll("rect")
.data(dataset)
.enter()
.append("rect")
.attr("x", function (d, i) {
return i + (20 + barPadding);
})
.attr("y", function (d) {
return heigth - (**values of JSON object** * 2)
})
.att("width", 20)
.attr("heigth", function (d) {
return (**values of JSON object** * 2)
})
.attr("fill", "teal")
Do you have any idea of how I could do ?
Thanks in advance for your help !!
Here's the codepen and here's the code for testing on your local:
<!DOCTYPE html>
<meta charset="utf-8">
<head>
<style>
.bar{
fill: steelblue;
}
.bar:hover{
fill: brown;
}
.axis {
font: 10px sans-serif;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
</style>
</head>
<body>
<script src="http://d3js.org/d3.v3.min.js"></script>
<script>
// set the dimensions of the canvas
var margin = {top: 20, right: 20, bottom: 70, left: 40},
width = 600 - margin.left - margin.right,
height = 300 - margin.top - margin.bottom;
// set the ranges
var x = d3.scale.ordinal().rangeRoundBands([0, width], .05);
var y = d3.scale.linear().range([height, 0]);
// define the axis
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom")
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
.ticks(10);
// add the SVG element
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 + ")");
// load the data
d3.json("data.json", function(error, data) {
// scale the range of the data
x.domain(data.map(function(d) { return Object.keys(d); }));
y.domain([0, d3.max(data, function(d) { return +d[Object.keys(d)]; })]);
// add axis
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", "-.55em")
.attr("transform", "rotate(-90)" );
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 5)
.attr("dy", ".71em")
.style("text-anchor", "end");
// Add bar chart
svg.selectAll("bar")
.data(data)
.enter().append("rect")
.attr("class", "bar")
.attr("x", function(d) { return x(Object.keys(d)); })
.attr("width", x.rangeBand())
.attr("y", function(d) { return y(+d[Object.keys(d)]); })
.attr("height", function(d) { return height - y(+d[Object.keys(d)]); });
});
</script>
</body>
I replaced all references for the y axis with the json keys using Object.keys() and got the values for these keys to put into the x axis. You could also use for... in loop to do the same thing.
To test it locally, you will have to host both files on a local server or else you will get CORS errors. You could include a parsed inline json to avoid CORS altogether.
This one should work :
svg.selectAll("rect")
.data(dataset)
.enter()
.append("rect")
.attr("x", function (d, i) {
return i + (20 + barPadding);
})
.attr("y", function (d,i) {
return heigth - d["T" + (i+1)]
})
.attr("width", 20)
.attr("heigth", function (d,i) {
return heigth - d["T" + (i+1)]
})
.attr("fill", "teal")
Problem
Having trouble getting my chart in D3 to show up. Getting an Uncaught SyntaxError: Unexpected end of input with my scripts.js
index.html
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>Document</title>
<link rel="stylesheet" href="assets/css/style.css">
</head>
<body>
<script src="assets/js/scripts.js"></script>
<script src="http://d3js.org/d3.v3.min.js"></script>
</body>
</html>
scripts.js
$(function() {
var margin = {top: 20, right: 20, bottom: 30, left: 40},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var x0 = d3.scale.ordinal()
.rangeRoundBands([0, width], .1);
var x1 = d3.scale.ordinal();
var y = d3.scale.linear()
.range([height, 0]);
var color = d3.scale.ordinal()
.range(["#98abc5", "#8a89a6", "#7b6888", "#6b486b", "#a05d56", "#d0743c", "#ff8c00"]);
var xAxis = d3.svg.axis()
.scale(x0)
.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("assets/data/data.csv", function(error, data) {
var ageNames = d3.keys(data[0]).filter(function(key) { return key !== "State"; });
data.forEach(function(d) {
d.ages = ageNames.map(function(name) { return {name: name, value: +d[name]}; });
});
x0.domain(data.map(function(d) { return d.State; }));
x1.domain(ageNames).rangeRoundBands([0, x0.rangeBand()]);
y.domain([0, d3.max(data, function(d) { return d3.max(d.ages, function(d) { return d.value; }); })]);
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("Population");
var state = svg.selectAll(".state")
.data(data)
.enter().append("g")
.attr("class", "g")
.attr("transform", function(d) { return "translate(" + x0(d.State) + ",0)"; });
state.selectAll("rect")
.data(function(d) { return d.ages; })
.enter().append("rect")
.attr("width", x1.rangeBand())
.attr("x", function(d) { return x1(d.name); })
.attr("y", function(d) { return y(d.value); })
.attr("height", function(d) { return height - y(d.value); })
.style("fill", function(d) { return color(d.name); });
var legend = svg.selectAll(".legend")
.data(ageNames.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; });
});
style.css
body {
font: 10px sans-serif;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.bar {
fill: blue;
}
.x.axis path {
display: none;
}
I found that I got the same error when pasting your code directly into JSFiddle. It went away when I properly closed the main function. For reference, here's your code in live snippet form with the extra closing braces:
var csvData = [
{"State":0, "Age":31, "Names":["Austin"]},
{"State":0, "Age":31, "Names":["Austin"]},
{"State":0, "Age":31, "Names":["Austin"]},
];
$(function() {
$("#placeholder").remove();
var margin = {top: 20, right: 20, bottom: 30, left: 40},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var x0 = d3.scale.ordinal()
.rangeRoundBands([0, width], .1);
var x1 = d3.scale.ordinal();
var y = d3.scale.linear()
.range([height, 0]);
var color = d3.scale.ordinal()
.range(["#98abc5", "#8a89a6", "#7b6888", "#6b486b", "#a05d56", "#d0743c", "#ff8c00"]);
var xAxis = d3.svg.axis()
.scale(x0)
.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 + ")");
var data = csvData;
var ageNames = d3.keys(data[0]).filter(function(key) { return key !== "State"; });
data.forEach(function(d) {
d.ages = ageNames.map(function(name) { return {name: name, value: +d[name]}; });
});
x0.domain(data.map(function(d) { return d.State; }));
x1.domain(ageNames).rangeRoundBands([0, x0.rangeBand()]);
y.domain([0, d3.max(data, function(d) { return d3.max(d.ages, function(d) { return d.value; }); })]);
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("Population");
var state = svg.selectAll(".state")
.data(data)
.enter().append("g")
.attr("class", "g")
.attr("transform", function(d) { return "translate(" + x0(d.State) + ",0)"; });
state.selectAll("rect")
.data(function(d) { return d.ages; })
.enter().append("rect")
.attr("width", x1.rangeBand())
.attr("x", function(d) { return x1(d.name); })
.attr("y", function(d) { return y(d.value); })
.attr("height", function(d) { return height - y(d.value); })
.style("fill", function(d) { return color(d.name); });
var legend = svg.selectAll(".legend")
.data(ageNames.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; });
});
body {
font: 10px sans-serif;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.bar {
fill: blue;
}
.x.axis path {
display: none;
}
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.11/d3.min.js"></script>
<script src="https://ajax.googleapis.com/ajax/libs/jquery/1.9.1/jquery.min.js"></script>
On the d3.csv("csv...") call - try adding another }); to the end of it.
I tried your code out on JSFiddle, and that seemed to resolve the syntax error.
EDIT: My bad. Left in a hurry. Here's the fiddle:
http://jsfiddle.net/strsjpxa/
I later noticed it made more sense to close the function at the end.
i am using the d3 for making the bar graph . From example i see that they use the tsv file for the data . In my case i have the dynamic data . Here is the code and i want to use the var data1 to make the graph
<!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>
<div id="bar"></div>
<script src="http://d3js.org/d3.v3.min.js"></script>
<script type="text/javascript" src="http://ajax.googleapis.com/ajax/libs/jquery/1.8.3/jquery.min.js"></script>
<script>
var $window = $(window);
var wWidth = $window.width();
var wHeight = $window.height();
var margin = {top: 10, right: 0, bottom: 30, left: 40},
width = 300 - margin.left - margin.right,
height = 300 - margin.top - margin.bottom;
var formatPercent = d3.format(".0%");
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");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
.tickFormat(formatPercent);
//var data = [[1,1],[2,3],[3,2],[4,5],[5,4]];
var svg = d3.select("#bar").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 data1 = [
{letter:"A",frequency:"58.13"},
{letter:"B",frequency:"53.98"},
{letter:"C",frequency:"67.00"},
{letter:"D",frequency:"89.70"},
{letter:"E",frequency:"99.00"}
];
d3.tsv("data.tsv", type, function(error, data) {
x.domain(data.map(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>
data.tsv
letter frequency
A .08167
B .01492
C .02780
D .04253
E .12702
F .02288
G .02022
H .06094
I .06973
J .00153
Change the variable name,
data1 To data
And remove these line
1. d3.tsv("data.tsv", type, function(error, data) {
2. });
See DEMO Here