First time using the d3 library, I am pulling my data from a local object structured below. Attempting to show the data but the 0 index data is not being shown (see in screenshot) despite the data array having content. I have tried many things including reading other stack questions for similar issues (such as D3 bar chart not showing first element in array), but their solutions are not working for me since my d3 is structured differently. I have been stuck on this for over 3 hours now and any help is appreciated.
Data array
roundDataArr = [...roundDataArr, {'round': roundNumber, 'data': finalRoundTime}]
1st object not displayed on graph:
Relevant code:
function displayGraph() {
var margin = {top: 20, right: 20, bottom: 30, left: 50},
width = 575 - margin.left - margin.right,
height = 350 - margin.top - margin.bottom;
var x = d3.scaleLinear()
.domain([0, d3.max(roundDataArr, function(d) { return d.round; })])
.range([0, width]);
var y = d3.scaleLinear()
.domain([0, d3.max(roundDataArr, function(d) { return d.data; })])
.range([height, 0]);
var xAxis = d3.axisBottom()
.scale(x);
var yAxis = d3.axisLeft()
.scale(y);
var area = d3.area()
.x(function(d) { return x(d.round); })
.y0(height)
.y1(function(d) { return y(d.data); });
var valueline = d3.line()
.x(function(d) { return x(d.round); })
.y(function(d) { return y(d.data); });
var svg = d3.select(".tfny-graphWrapper")
.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 + ")");
svg.append("path")
.datum(roundDataArr)
.attr("class", "area")
.attr("d", area);
svg.append("path")
.datum(roundDataArr)
.attr("class", "line")
.attr("d", valueline);
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
svg.append("g")
.attr("class", "y axis")
.call(yAxis);
}
And the wrapper div is appended to the DOM through Javascript with this code:
let graphWrapper = document.createElement("div")
graphWrapper.classList.add("tfny-graphWrapper");
resultPage.appendChild(graphWrapper);
Related
I have a chart that on mouseover gives me the data i am looking for
.on("mouseover", function(d) {
givegraph(this.__data__);
})
This passes the correct data i am looking for. My data looks like this for one item on a mouseover event
{
color: "red",
uses : 22,
years_used:[1,2,3,4,5],
numberofPens:[44,39,29,54,09]
}
My givegraph function looks like
function givegraph(d){
var margin = {top: 30, right: 20, bottom: 30, left: 50},
width = 300 - margin.left - margin.right,
height = 200 - margin.top - margin.bottom;
var x = d3.time.scale().range([0, width]);
var y = d3.scale.linear().range([height, 0]);
var xAxis = d3.svg.axis().scale(x)
.orient("bottom").ticks(5);
var yAxis = d3.svg.axis().scale(y)
.orient("left").ticks(5);
var valueline = d3.svg.line()
.x(function(d) {return x(d.years_used); })
.y(function(d) { return y(d.numberofpens); });
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 + ")");
x.domain(d3.extent(data, function(d) { return d.years_used; }));
y.domain([0, d3.max(data, function(d) { return d.numberofpens; })]);
svg.append("path")
.attr("class", "line")
.attr("d", valueline(data));
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
svg.append("g")
.attr("class", "y axis")
.call(yAxis);
}
The data is not being pass through when I call it in the valueline or domain functions. When i use the command to see the data in the console, nothing shows.
.x(function(d) {console.log(d);return x(d.years_used); })
The data is being pass through in the givegraph function but when i use it for the anonymous function it is not there. How can i fix this
I have a dataset that has 3 fields a name, a min value (value2) and a max value (value) that represent a range.
//The data
var data =[{"name": 'Scotty', "value2":0, "value":17},
{"name":'Dick', "value2":10, "value":17},
{"name":'James', "value2":5, "value":null},
{"name":'Max', "value2":2, "value":9}]
Currently I have it represented with a bar chart using this code that works ok except in cases where the points value2 and value are very close or there is a null value.
//Chart size parameters
var margin = {top: 20, right: 30, bottom: 90, left: 40},
width = 830 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
//Chart axis
var x = d3.scaleBand()
.domain(data.map(function(d) { return d.name; }))
.range([2, width])
.scaleBand(0.10);
var y = d3.scaleLinear()
.domain([0, d3.max(data, function(d) { return d.value; })])
.range([height, 0]);
var xAxis = d3.axisBottom(x);
var yAxis = d3.axisLeft(y);
//Initialize chart
var chart = d3.select("#mychart").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 + ")");
//Adding both axis
chart.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis)
chart.append("g")
.attr("class", "y axis")
.call(yAxis);
//Where the box is drawn
chart.selectAll(".box")
.data(data)
.enter().append("rect")
.attr("class", "box")
.attr("x", function(d) { return x(d.name); })
.attr("y", function(d) { return y(d.value); })
.attr("height", function(d) { return y(d.value2) - y(d.value); }) //Plot range
.attr("width", x.bandwidth()); //spacing for bars
Is there a way to plot the data with the following:
if two points are present plot both of them with a path connecting them
if one point is present with a null in field value only plot the one point
I am using D3.js to create a simple line graph.
<div>
<h6>Price Over Time</h6>
<div id="priceOverTimeChart"></div>
</div>
// Set the dimensions of the canvas / graph
var margin = {top: 30, right: 20, bottom: 30, left: 50},
width = 800 - margin.left - margin.right,
height = 270 - margin.top - margin.bottom;
// Parse the date / time
var parseDate = d3.time.format("%d-%b-%y").parse;
// Set the ranges
var x = d3.time.scale().range([0, width]);
var y = d3.scale.linear().range([height, 0]);
// Define the axes
var xAxis = d3.svg.axis().scale(x)
.orient("bottom").ticks(10);
var yAxis = d3.svg.axis().scale(y)
.orient("left").ticks(10);
// Define the line
var valueline = d3.svg.line()
.x(function(d) { return x(d.date); })
.y(function(d) { return y(d.close); });
// Adds the svg canvas
var svg = d3.select("#priceOverTimeChart")
.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) {
data.forEach(function(d) {
d.date = parseDate(d.date);
d.close = +d.close;
});
// Scale the range of the data
x.domain(d3.extent(data, function(d) { return d.date; }));
y.domain([0, d3.max(data, function(d) { return d.close; })]);
// Add the valueline path.
svg.append("path")
.attr("class", "line")
.attr("d", valueline(data));
// Add the X Axis
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
// Add the Y Axis
svg.append("g")
.attr("class", "y axis")
.call(yAxis);
});
The data for the line graph uses the following data format:
26-Apr-12,0.048
25-Apr-12,0.048
24-Apr-12,0.048
I would like to add an optional string to each record so it looks like:
26-Apr-12,0.048, "product 1 launch",
25-Apr-12,0.048, "product 2",
24-Apr-12,0.048, "product 3"
26-Apr-12,0.048, null
25-Apr-12,0.048, null
24-Apr-12,0.048, null
The graph would then look something like this with the labels on it:
Graph with optional labels
How can I accomplish this? Thanks in advance!
Appending texts to the corresponding x, y position will do the trick.
Please refer this working JS Fiddle
svg.append("g").selectAll("text")
.data(data)
.enter()
.append("text")
.attr("x", function(d) { return x(d.date) - paddingForText })
.attr("y", function(d) { return y(d.close) + paddingForText })
.attr("fill", "red")
.text(function(d) { return d.notes });
I'm learning d3js using various examples found online.
I've been trying to plot a chart with dual Y axis and an X-axis. The Y axis on the left side would plot a bar chart against the X-axis and the Y-axis on the right side would plot a line chart against X-axis. The Bar graph plots as exactly as required but the line graph does not. The X-axis is date (2015-10-15 04:10). Following this example.
The code I wrote
var margin = {top: 50, right: 50, bottom: 100, left: 50},
width = 900 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var parseDate = d3.time.format("%m/%d/%Y %H:%M:%S").parse;
var x = d3.scale.ordinal().rangeRoundBands([0, width], .05);
var yTxnVol = d3.scale.linear().range([height, 0]);
var yResTime = d3.scale.linear().range([height, 0]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom")
var yAxis = d3.svg.axis()
.scale(yTxnVol)
.orient("left")
var yAxis2 = d3.svg.axis()
.scale(yResTime)
.orient("right")
.ticks(10);
var svg = d3.selectAll("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("../res/data.csv", function(error, data) {
data.forEach(function(d) {
d.AVRG_RESP_TIME = +d.AVRG_RESP_TIME;
d.TXN_VOL = +d.TXN_VOL;
});
x.domain(data.map(function(d) { return d.TYM; }));
yTxnVol.domain([0, d3.max(data, function(d) { return d.TXN_VOL+50; })]);
yResTime.domain([0, d3.max(data, function(d) { return d.AVRG_RESP_TIME+50; })]);
var minDate = d3.min(data, function(d){return d.TYM});
var maxDate = d3.max(data, function(d){ return d.TYM});
var xScale = d3.time.scale().range([0,width]);//.domain([minDate, maxDate]);
xScale.domain(d3.extent(data, function(d) { return new Date(d.TYM); }));
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)
svg.append("g")
.attr("class","y axis")
.attr("transform","translate("+width+ ", 0)")
.call(yAxis2)
svg.selectAll("bar")
.data(data)
.enter().append("rect")
.attr("class", "yhover")
.attr("x", function(d) { return x(d.TYM); })
.attr("width", x.rangeBand())
.attr("y", function(d) { return yTxnVol(d.TXN_VOL); })
.attr("height", function(d) { return height - yTxnVol(d.TXN_VOL); })
var line = d3.svg.line()
.x(function(d) { return xScale(new Date(d.TYM));})
.y(function(d) { return d.AVRG_RESP_TIME; });
svg.append("path")
.datum(data)
.attr("class", "line")
.attr("d", line);
});
The Output Trying to make this to a meaningful line graph. Got NaN error while formatting the dates.
Could someone help me to make this a proper line graph ?
The csv data sample
TYM, AVRG_RESP_TIME, TXN_VOL
2015-10-15 04:00:00, 12, 170
2015-10-15 04:10:00, 18, 220
2015-10-15 04:20:00, 28, 251
2015-10-15 05:00:00, 19, 100
First, fix your csv file. It is improperly formatted and should not have spaces after the comma.
Second, You are trying to mix an ordinal scale and a time scale for you xAxis. This isn't going to work. For your use case, just stick with time.
Here's a reworking of your code with explanatory comments:
<!DOCTYPE html>
<html>
<head>
<script data-require="d3#3.5.3" data-semver="3.5.3" src="//cdnjs.cloudflare.com/ajax/libs/d3/3.5.3/d3.js"></script>
</head>
<body>
<script>
var margin = {
top: 50,
right: 50,
bottom: 100,
left: 50
},
width = 900 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var parseDate = d3.time.format("%Y-%m-%d %H:%M:%S").parse;
// x scale should be time and only time
var x = d3.time.scale().range([0, width]);
var yTxnVol = d3.scale.linear().range([height, 0]);
var yResTime = d3.scale.linear().range([height, 0]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom")
var yAxis = d3.svg.axis()
.scale(yTxnVol)
.orient("left")
var yAxis2 = d3.svg.axis()
.scale(yResTime)
.orient("right")
.ticks(10);
var svg = d3.selectAll("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("data.csv", function(error, data) {
var data = [{"TYM":"2015-10-15 04:00:00","AVRG_RESP_TIME":"12","TXN_VOL":"170"},{"TYM":"2015-10-15 04:10:00","AVRG_RESP_TIME":"18","TXN_VOL":"220"},{"TYM":"2015-10-15 04:20:00","AVRG_RESP_TIME":"28","TXN_VOL":"251"},{"TYM":"2015-10-15 05:00:00","AVRG_RESP_TIME":"19","TXN_VOL":"100"}];
// just make TYM a date and keep it as a date
data.forEach(function(d) {
d.TYM = parseDate(d.TYM);
d.AVRG_RESP_TIME = +d.AVRG_RESP_TIME;
d.TXN_VOL = +d.TXN_VOL;
});
// get our min and max date in milliseconds
// set a padding around our domain of 15%
var minDate = d3.min(data, function(d){
return d.TYM;
}).getTime();
var maxDate = d3.max(data, function(d){
return d.TYM;
}).getTime();
var padDate = (maxDate - minDate) * .15;
x.domain([new Date(minDate - padDate), new Date(maxDate + padDate)]);
yTxnVol.domain([0, d3.max(data, function(d) {
return d.TXN_VOL + 50;
})]);
yResTime.domain([0, d3.max(data, function(d) {
return d.AVRG_RESP_TIME + 50;
})]);
// set an intelligent bar width
var barWidth = (width / x.ticks().length) - 20;
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)
svg.append("g")
.attr("class", "y axis")
.attr("transform", "translate(" + width + ", 0)")
.call(yAxis2)
svg.selectAll("bar")
.data(data)
.enter().append("rect")
.attr("class", "yhover")
.attr("x", function(d) {
// center bar on time
return x(d.TYM) - (barWidth / 2);
})
.attr("width", barWidth)
.attr("y", function(d) {
return yTxnVol(d.TXN_VOL);
})
.attr("height", function(d) {
return height - yTxnVol(d.TXN_VOL);
})
.style("fill","orange");
var line = d3.svg.line()
.x(function(d) {
return x(d.TYM);
})
.y(function(d) {
return d.AVRG_RESP_TIME;
});
svg.append("path")
.datum(data)
.attr("class", "line")
.attr("d", line)
.style("fill","none")
.style("stroke","steelblue")
.style("stoke-width","3px");
// });
</script>
</body>
</html>
The issue with the line graph filling with black was due to improper css. The new css property.
.line {
fill: none;
stroke: darkgreen;
stroke-width: 2.5px;
}
For the dates I formatted it to (%Y-%m-%d %H:%M) format and it worked.
I am Trying to Implement this code: http://bl.ocks.org/3883245, but instead of loading a TSV file, i am loading the data from an array.
Here is how the array looks Like:
[["2012-10-02",2],["2012-10-09", 2], ["2012-10-12", 2]]
and then I applied this function on it to get CSV Format: var data = d3.csv.format(BigWordsDates2[ArrayIndex]);
but still nothing shows up.
Here is the whole code: I think I am not that far from getting it but I have been working on it for 3 days and still cant get it to work:
var margin = {top: 20, right: 20, bottom: 30, left: 50},
width = 80 - margin.left - margin.right,
height = 80 - margin.top - margin.bottom;
var data = d3.csv.format(BigWordsDates2[ArrayIndex]);
var parseDate = d3.time.format("%Y-%b-%d").parse;
var x = d3.time.scale()
.range([0, width]);
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 line = d3.svg.line()
.x(function(d) { return x(d.date); })
.y(function(d) { return y(d.close); });
var svg = d3.select("#Graph").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.parseRows(data, function(data) {
data.forEach(function(d) {
d.date = parseDate(d.date);
d.close = parseInt(d.close);
});
x.domain(d3.extent(data, function(d) { return d.date; }));
y.domain(d3.extent(data, function(d) { return d.close; }));
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("Price ($)");
svg.append("path")
.datum(data)
.attr("class", "line")
.attr("d", line);
});`
I think I am also doing something wrong with the d.date and d.close but I can't figure it out either.
The chart uses data in the following format
[{ date: '...', close: '...'},
{ date: '...', close: '...'}]
So, you need to parse your array:
// fix your data parser
var parseDate = d3.time.format("%Y-%m-%d").parse;
var arrData = [
["2012-10-02",200],
["2012-10-09", 300],
["2012-10-12", 150]];
// create a new array that follows the format
var data = arrData.map(function(d) {
return {
date: parseDate(d[0]),
close: d[1]
};
});
Here's the working version: http://jsfiddle.net/jaimem/T546B/
pd: depending on the data you might have to modify your y scale's domain.