Related
So I've found a half dozen posts regarding this error but none seem to resolve my issue.
The data as it comes from firebase:
data = [{percent:24,year:1790},....]
var parseDate = d3.time.format("%Y").parse;
// so I want to convert the year to a 'date' for d3 time scale
data.forEach(function(d) {
d.year = parseDate(d.year.toString());
d.percent = +d.percent;
});
which then the data looks like
console.log(data);
[{percent:24,year:Fri Jan 01 1790 00:00:00 GMT-0500 (EST)}...]
my x scale
var x = d3.time.scale().range([0, this.width]);
my x domain
x.domain(d3.extent(data, function(d){return d.year; }));
my line
var line = d3.svg.line()
.x(function(d) { return x(d.year); })
.y(function(d) { return y(d.percent); });
then my chart (there is a base chart that this is extending)
this.chart.append("path")
.datum(data)
.attr("class", "line")
.attr("d", line);
Which when added has the exception ...
Error: <path> attribute d: Expected number,
UPDATE
So here is the working code using sample data the code is more or less a copy paste from d3 example site using a csv instead of tsv
This works fine
var margin = {top: 20, right: 20, bottom: 30, left: 50},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var formatDate = d3.time.format("%Y");
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("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/debt-public-percent-gdp.csv", type, function(error, data) {
if (error) throw error;
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 ($)");
svg.append("path")
.datum(data)
.attr("class", "line")
.attr("d", line);
});
function type(d) {
d.date = formatDate.parse(d.date);
d.close = +d.close;
return d;
}
This does not work
Using the same datasource here is my 'Base Chart'
export class BaseChart{
constructor(data,elem,config = {}){
var d3 = require('d3');
this.data = data;
this.svg = d3.select('#'+elem).append('svg');
this.margin = {
left: 30,
top: 30,
right: 30,
bottom: 30,
};
let width = config.width ? config.width : 600;
let height = config.height ? config.height : 300;
this.svg.attr('height', height);
this.svg.attr('width', width);
this.width = width - this.margin.left - this.margin.right;
this.height = height - this.margin.top - this.margin.bottom;
this.chart = this.svg.append('g')
.attr('width', this.width)
.attr('height', this.height)
.attr('transform', `translate(${this.margin.left},${this.margin.top})`);
}
}
Chart that Extends the Base Chart
export class FedDebtPercentGDP extends BaseChart{
constructor(data, elem, config){
super(data, elem, config);
var x = d3.time.scale().range([0, this.width]);
var y = d3.scale.linear().range([this.height, 0]);
x.domain(d3.extent(data, function(d) { return d.date; }));
y.domain(d3.extent(data, function(d) { return d.close; }));
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left");
var line = d3.svg.line()
.x(function(d) { return x(d.date); })
.y(function(d) { return y(d.close); });
this.chart.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + this.height + ")")
.call(xAxis);
//
this.chart.append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("Price ($)");
this.chart.append("path")
.datum(data)
.attr("class", "line")
.attr("d", line);
}
}
The code that calls the chart
d3.csv('./data/debt-public-percent-gdp.csv', type, function(error, data) {
new FedDebtPercentGDP(data, "debt-to-gdp", {width: '100%'});
});
The data
date,close
1790,30
1791,29
1792,28
1793,24
1794,22
1795,19
1796,16
1797,17
1798,16
1799,16
1800,15
1801,13
1802,14
1803,14
1804,13
1805,11
1806,10
1807,10
1808,9
1809,7
1810,6
1811,6
1812,7
1813,8
1814,9
1815,10
1816,10
1817,8
1818,7
1819,7
1820,8
1821,9
1822,8
1823,8
1824,8
1825,7
1826,6
1827,6
1828,5
1829,4
1830,3
1831,2
1832,1
1833,0
1834,0
1835,0
1836,0
1837,0
1838,1
1839,0
1840,0
1841,1
1842,1
1843,2
1844,1
1845,1
1846,1
1847,2
1848,2
1849,3
1850,2
...
There are quite a few problems with the code that you've provided. I guess you did not paste it all. The excerpt you pasted definitely does not have this.chart defined, for example, so it is not possible to reconstruct your error message.
That being said, it is still possible to identify the main problem:
The error message says it all: as you have parsed d.year and turned it into a string, but the path needs a number as an argument there is a 'type mismatch'-kind of error in your code.
You can see how your data looks like in the console log that you've provided. year is turned into a string.
I would recommend leaving d.year as it is, and if you really need, you can create a new attribute called for example date if you need the date in that format. So if it is needed for displaying the date, you can use that one, while year can be used for path calculation in its original format.
I want to generate bollinger band using D3 library. I tried following code but unfortunately its throwing following error -
VM224 d3.v3.js:670 Error: attribute d: Expected number,
"M0,NaNL890,NaN"
What could be the cause of this error?
Code -
var margin = {
top: 20,
right: 20,
bottom: 30,
left: 50
},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var n = 20; // n-period of moving average
var k = 2; // k times n-period standard deviation above/below moving average
var parseDate = d3.time.format("%m/%d/%Y").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")
.tickSize(3, 0);
var line = d3.svg.line()
.x(function(d) {
return x(d.date);
})
.y(function(d) {
return y(d.close);
});
var ma = d3.svg.line()
.x(function(d) {
return x(d.date);
})
.y(function(d) {
return y(d.ma);
});
var lowBand = d3.svg.line()
.x(function(d) {
return x(d.date);
})
.y(function(d) {
return y(d.low);
});
var highBand = d3.svg.line()
.x(function(d) {
return x(d.date);
})
.y(function(d) {
return y(d.high);
});
var bandsArea = d3.svg.area()
.x(function(d) {
return x(d.date);
})
.y0(function(d) {
return y(d.low);
})
.y1(function(d) {
return y(d.high);
});
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 = [
[
"9/9/2012",
1000
],
[
"9/14/2013",
100
]
];
data.forEach(function(d) {
d.date = parseDate(d[0]);
d.close = parseInt(d[1]);
var bandsData = getBollingerBands(n, k, data);
x.domain(d3.extent(data, function(d) {
return d.date;
}));
y.domain([d3.min(bandsData, function(d) {
return d.low;
}),
d3.max(bandsData, function(d) {
return d.high;
})
]);
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
svg.append("g")
.attr("class", "y axis")
.call(yAxis);
svg.append("path")
.datum(bandsData)
.attr("class", "area bands")
.attr("d", bandsArea);
svg.append("path")
.datum(bandsData)
.attr("class", "line bands")
.attr("d", lowBand);
svg.append("path")
.datum(bandsData)
.attr("class", "line bands")
.attr("d", highBand);
svg.append("path")
.datum(bandsData)
.attr("class", "line ma bands")
.attr("d", ma);
svg.append("path")
.datum(data)
.attr("class", "line")
.attr("d", line);
});
function getBollingerBands(n, k, data) {
var bands = []; //{ ma: 0, low: 0, high: 0 }
for (var i = n - 1, len = data.length; i < len; i++) {
var slice = data.slice(i + 1 - n, i);
var mean = d3.mean(slice, function(d) {
return d.close;
});
var stdDev = Math.sqrt(d3.mean(slice.map(function(d) {
return Math.pow(d.close - mean, 2);
})));
bands.push({
date: data[i].date,
ma: mean,
low: mean - (k * stdDev),
high: mean + (k * stdDev)
});
}
return bands;
}
Fiddle
See working jsfiddle
First problem was, this being Bollinger Bands, that it needed more than the 2 data points you supplied it. When passing n=20 to getBollingerBands() it means it'll want to extract a mean value out of 20 consecutive data points. Since there were only 2, it yielded a blank array, which in turn caused NaN values to make it into the <path>.
I updated that data array to be a whole lot longer, as needed.
The other issue was that instead of this:
data.forEach(function(d) {
d.date = parseDate(d[0]);
d.close = parseInt(d[1]);
})
you had the function passed to forEach extend all the way down to include all the rendering code (eg svg.append("path")), which meant it was trying to render the whole thing one per data point (i.e. potentially hundreds of times).
i have data for the first and following attempt of seeking asylum in germany for refugees and therefore two graphs which are looking like this
First one
Second one
Transition from one to another shoulnd't be a problem i suppose but what I want is so show both of them in one graph too. So a combination of both datasets for each country. But is it possible to distinguish from one another if I combine countries and the first and following ("erst/folge")? Each country should have on layer divided by two, one is the first attempt the other is the second attempt of this country. One idea to differ those sub-layers is maybe custom coloscale which I try right now. How can I show both data in one graph? Is it even possible to join both datasets and still see the difference?
Here is my html:
<!DOCTYPE html>
<meta charset="utf-8">
<style>
body {
font: 10px sans-serif;
}
.chart {
background: #fff;
}
p {
font: 12px helvetica;
}
.axis path, .axis line {
fill: none;
stroke: #000;
stroke-width: 2px;
shape-rendering: crispEdges;
}
button {
position: absolute;
right: 50px;
top: 10px;
}
</style>
<body>
<script src="http://d3js.org/d3.v2.js"></script>
<div id="option">
<input name="updateButton"
type="button"
value="Show Data for second Attemp"
onclick="updateSecond('folgeantraege_monatlich_2015_mitentscheidungenbisnovember.csv')" />
</div>
<div id="option">
<input name="updateButton"
type="button"
value="Show Data for first Attemp"
onclick="updateFirst('erstantraege_monatlich_2015_mitentscheidungenbisnovember.csv')" />
</div>
<div id="option">
<input name="updateButton"
type="button"
value="Show both"
onclick="updateBoth('erstantraege_monatlich_2015_mitentscheidungenbisnovember.csv', 'folgeantraege_monatlich_2015_mitentscheidungenbisnovember.csv')" />
</div>
<div class="chart">
</div>
<script>
var margin = {top: 20, right: 40, bottom: 30, left: 30};
var width = document.body.clientWidth - margin.left - margin.right;
var height = 400 - margin.top - margin.bottom;
var x = d3.time.scale()
.range([0, width]);
var y = d3.scale.linear()
.range([height-10, 0]);
var dateParser = d3.time.format("%Y-%m-%d").parse;
var stack = d3.layout.stack()
.offset("zero")
.values(function(d) { return d.values; })
.x(function(d) { return d.date; })
.y(function(d) { return d.value; });
var area = d3.svg.area()
.interpolate("cardinal")
.x(function(d) { return x(d.date); })
.y0(function(d) { return y(d.y0); })
.y1(function(d) { return y(d.y0 + d.y); });
var z = d3.scale.category20()
chart("erstantraege_monatlich_2015_mitentscheidungenbisnovember.csv");
var datearray = [];
var colorrange = [];
function chart(csvpath) {
// var dateParser = d3.time.format("%Y-%m-%d").parse;
// var margin = {top: 20, right: 40, bottom: 30, left: 30};
// var width = document.body.clientWidth - margin.left - margin.right;
// var height = 400 - margin.top - margin.bottom;
// var x = d3.time.scale()
// .range([0, width]);
//
// var y = d3.scale.linear()
// .range([height-10, 0]);
// var z = d3.scale.category20()
//var color = d3.scale.category10()
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom")
.ticks(d3.time.months);
var yAxis = d3.svg.axis()
.scale(y);
var yAxisr = d3.svg.axis()
.scale(y);
// var stack = d3.layout.stack()
// .offset("zero")
// .values(function(d) { return d.values; })
// .x(function(d) { return d.date; })
// .y(function(d) { return d.value; });
var nest = d3.nest()
.key(function(d) { return d.Land});
// var nestFiltered = nest.filter(function(d){
// return d.Land != 'Total';
// })
// var area = d3.svg.area()
// .interpolate("cardinal")
// .x(function(d) { return x(d.date); })
// .y0(function(d) { return y(d.y0); })
// .y1(function(d) { return y(d.y0 + d.y); });
var svg = d3.select(".chart").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(csvpath, function(data) {
data.forEach(function(d) {
d.date = dateParser(d.Datum);
d.value = +d.ErstanträgeZahl;
});
//onsole.log(data);
var layers = stack(nest.entries(data));
console.log(nest.entries(data));
x.domain(d3.extent(data, function(d) { return d.date; }));
y.domain([0, d3.max(data, function(d) { return d.y0 + d.y; })]);
svg.selectAll(".layer")
.data(layers)
.enter().append("path")
.attr("class", "layer")
.attr("d", function(d) { return area(d.values); })
.style("fill", function(d, i) { return z(i); });
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
svg.append("g")
.attr("class", "y axis")
.attr("transform", "translate(" + width + ", 0)")
.call(yAxis.orient("right"));
svg.append("g")
.attr("class", "y axis")
.call(yAxis.orient("left"));
});
}
function updateSecond(csvpath) {
var nest = d3.nest()
.key(function(d) { return d.Land});
d3.csv(csvpath, function(data) {
data.forEach(function(d) {
d.date = dateParser(d.Datum);
d.value = +d.Summe;
console.log(d.date);
console.log(d.value);
});
var layers = stack(nest.entries(data));
x.domain(d3.extent(data, function(d) { return d.date; }));
y.domain([0, d3.max(data, function(d) { return d.y0 + d.y; })]);
d3.selectAll("path")
.data(layers)
.transition()
.duration(750)
.style("fill", function(d, i) { return z(i); })
.attr("d", function(d) { return area(d.values); });
svg.select(".y.axis") // change the y axis
.duration(750)
.call(yAxis);
});
}
function updateFirst(csvpath) {
var nest = d3.nest()
.key(function(d) { return d.Land});
d3.csv(csvpath, function(data) {
data.forEach(function(d) {
d.date = dateParser(d.Datum);
d.value = +d.ErstanträgeZahl;
console.log(d.date);
console.log(d.value);
});
var layers = stack(nest.entries(data));
x.domain(d3.extent(data, function(d) { return d.date; }));
y.domain([0, d3.max(data, function(d) { return d.y0 + d.y; })]);
d3.selectAll("path")
.data(layers)
.transition()
.duration(750)
.style("fill", function(d, i) { return z(i); })
.attr("d", function(d) { return area(d.values); });
svg.select(".y.axis") // change the y axis
.duration(750)
.call(yAxis);
});
}
function updateBoth(csvpathFirst, csvpathSecond){
var nest = d3.nest()
.key(function(d) { return d.Land});
d3.csv(csvpathFirst, function(data1) {
d3.csv(csvpathSecond, function(data2) {
});
});
}
</script>
And my data is here at my repo
EDIT1:
For example csv1 contains
Datum,Land,Summe,Position,Antragsart,EntscheidungenInsgesamt,Asylberechtigt,Flüchtling,GewährungVonSubsidiäremSchutz,Abschiebungsverbot,UnbegrenzteAblehnungen,Ablehnung,sonstigeVerfahrenserledigungen
2015-01-01,Afghanistan,1129,5,Erst,418,0,105,4,58,66,6,179
2015-02-01,Afghanistan,969,5,Erst,849,9,186,16,100,131,10,397
2015-03-01,Afghanistan,885,5,Erst,1376,17,309,58,158,201,11,622
2015-04-01,Afghanistan,1119,6,Erst,1838,21,384,75,202,261,15,880
2015-05-01,Afghanistan,1151,6,Erst,2272,21,499,91,249,303,16,1093
2015-06-01,Afghanistan,2051,6,Erst,2911,23,683,132,313,377,19,1364
2015-07-01,Afghanistan,2104,6,Erst,3340,27,767,160,366,431,21,1568
2015-08-01,Afghanistan,2270,5,Erst,3660,28,922,172,409,453,23,1653
2015-09-01,Afghanistan,2724,4,Erst,4057,36,1049,201,455,475,26,1815
2015-10-01,Afghanistan,3770,4,Erst,4540,37,1188,234,516,538,29,1998
2015-11-01,Afghanistan,4929,0,Erst,5026,46,1340,253,620,623,49,2095
And csv2 contains
Datum,Antragsart,Land,Summe,Position,Datum2,Position,Herkunft,Entscheidungeninsgesamt,Asylberechtigt,Prozent,Flüchtling,Pronzent,GewährungvonsubisdiäremSchutz,Prozent,Abschiebungsverbot,Prozent,UnbegrenzteAblehnungen,Prozent,Ablehnung,Prozent,keinweiteresverfahren,Prozent,sonstigeVerfahrenserledigungen,Prozent
2015-01-01,Folge,Afghanistan,33,10,2015-01-01,10,Afghanistan,29,0,0,5,17.2,2,6.9,8,27.6,0,0,0,0,1,3.4,13,44.8
2015-02-01,Folge,Afghanistan,29,10,2015-02-01,10,Afghanistan,81,0,0,13,16,4,4.9,22,27.2,0,0,0,0,10,12.3,32,39.5
2015-03-01,Folge,Afghanistan,41,9,2015-03-01,9,Afghanistan,135,0,0,21,15.6,10,7.4,37,27.4,1,0.7,0,0,23,17,43,31.9
2015-04-01,Folge,Afghanistan,25,10,2015-04-01,10,Afghanistan,165,0,0,34,20.6,12,7.3,41,24.8,4,2.4,0,0,30,18.2,44,26.7
2015-05-01,Folge,Afghanistan,37,9,2015-05-01,9,Afghanistan,212,0,0,54,25.5,12,5.7,50,23.6,4,1.9,0,0,32,15.1,60,28.3
2015-06-01,Folge,Afghanistan,35,9,2015-06-01,9,Afghanistan,261,0,0,72,27.6,17,6.5,59,22.6,6,2.3,0,0,35,13.4,72,27.6
2015-07-01,Folge,Afghanistan,35,9,2015-07-01,9,Afghanistan,288,0,0,82,28.5,17,5.9,64,22.2,6,2.1,0,0,42,14.6,77,26.7
2015-08-01,Folge,Afghanistan,34,9,2015-08-01,9,Afghanistan,321,0,0,100,31.2,20,6.2,66,20.6,6,1.9,0,0,52,16.2,77,24
2015-09-01,Folge,Afghanistan,27,4,2015-09-01,9,Afghanistan,354,0,0,120,33.9,20,5.6,72,20.3,7,2,0,0,54,15.3,81,22.9
2015-10-01,Folge,Afghanistan,24,9,2015-10-01,9,Afghanistan,389,0,0,136,35,20,5.1,83,21.3,7,1.8,0,0,54,13.9,89,22.9
2015-11-01,Folge,Afghanistan,47,,,,,431,1,0.2,148,34.3,23,5.3,97,22.5,8,1.9,0,0,58,13.5,96,22.3
The values ("Summe") should sum up the values per month of each country (Afghanistan) but also should reflect the values for their stacks on their own (Right now I'm trying to figur out how to use texture.js and custom scales to use textures to distinguish the colors from another because every country should have it's own color in this graph but as I already mentioned they should be different in their sublayers
When I try to put both csv fiels in one file I get not exactly but something similar to this
Can you give me some tips how to archive sub-layers (data structure/algorithm or what i takes to achieve this) so I can proceed and try to implement textures?
Thanks in advance
Final EDIT as answer to Cyrils :
var margin = {top: 20, right: 40, bottom: 30, left: 30};
var width = document.body.clientWidth - margin.left - margin.right;
var height = 400 - margin.top - margin.bottom;
var x = d3.time.scale()
.range([0, width]);
var y = d3.scale.linear()
.range([height-10, 0]);
var dateParser = d3.time.format("%Y-%m-%d").parse;
var stack = d3.layout.stack()
.offset("zero")
.values(function(d) { return d.values; })
.x(function(d) { return d.graphDate; })
.y(function(d) { return d.value; });
var area = d3.svg.area()
.interpolate("cardinal")
.x(function(d) { return x(d.graphDate); })
.y0(function(d) { return y(d.y0); })
.y1(function(d) { return y(d.y0 + d.y); });
var z = d3.scale.category20()
doInit();
updateFirst('data/all.csv');
function doInit(){
//make the svg and axis
xAxis = d3.svg.axis()
.scale(x)
.orient("bottom")
.ticks(d3.time.months);
yAxis = d3.svg.axis()
.scale(y);
yAxisr = d3.svg.axis()
.scale(y);
//make svg
var graph = d3.select(".chart").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 + ")");
graph.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
graph.append("g")
.attr("class", "y axis yright")
.attr("transform", "translate(" + width + ", 0)")
.call(yAxis.orient("right"));
graph.append("g")
.attr("class", "y axis yleft")
.call(yAxis.orient("left"));
}
function updateFirst(csvpath) {
var nest = d3.nest()
.key(function(d) { return d.Land+ "-" + d.Antragsart});
//console.log(nest);
d3.csv(csvpath, function(data) {
data.forEach(function(d) {
//console.log(data);
d.graphDate = dateParser(d.Datum);
d.value = +d.Summe;
d.type= d.Antragsart;
});
var layers = stack(nest.entries(data)).sort(function(a,b){return d3.ascending(a.key, b.key)});
console.log(layers);
x.domain(d3.extent(data, function(d) { return d.graphDate; }));
y.domain([0, d3.max(data, function(d) { return d.y0 + d.y; })]);
var k = d3.select("g .x")
.call(xAxis);
d3.select("g .yright")
.call(yAxis);
d3.select("g .yleft")
.call(yAxis);
d3.selectAll("defs").remove();
d3.select(".chart svg g").selectAll("path").remove();
d3.select(".chart svg g").selectAll("path")
.data(layers).enter().append("path")
//.style("fill", function(d, i) { console.log(d.key);return z(d.key); })
.attr("class", function(d){
var country = d.key.split("-")[0];
var src = d.key.split("-")[1];
return src;
})
.style("fill", function(d){
var country = d.key.split("-")[0];
var src = d.key.split("-")[1];
if (src === "Folge"){
var t = textures.lines().thicker(2).stroke(z(country));
d3.select(".chart").select("svg").call(t);
return t.url();
} else {
return z(country);
}
})
.attr("d", function(d) { return area(d.values); });
});
}
For merging the records I am making use of d3 queue..Read here
The purpose of this is to load 2 CSV via ajax and when both loaded calls the callback.
queue()
.defer(d3.csv, csvpathFirst) //using queue so that callback is called after loading both CSVs
.defer(d3.csv, csvpathSecond)
.await(makeMyChart);
function makeMyChart(error, first, second) {
var data = [];
Make the nested function based on country and csv
var nest = d3.nest()
.key(function(d) {
return d.Land + "-" + d.src; //d.src is first if first csv second if vice versa
});
Next I am merging the records like this:
//iterate first
first.forEach(function(d) {
d.graphDate = dateParser(d.Datum);
d.value = +d.Summe;
d.src = "first"
data.push(d)
});
//iterate second
second.forEach(function(d) {
d.graphDate = dateParser(d.Datum);
d.value = +d.Summe;
d.src = "second"
data.push(d)
});
//sort layers on basis of country
var layers = stack(nest.entries(data)).sort(function(a, b) {
return d3.ascending(a.key, b.key)
});
Regenerate the axis like this:
//regenerate the axis with new domains
var k = d3.select("g .x")
.call(xAxis);
d3.select("g .yright")
.call(yAxis);
d3.select("g .yleft")
.call(yAxis);
Remove all old paths and defs DOM like this:
d3.selectAll("defs").remove();
d3.select(".chart svg g").selectAll("path").remove();
Next based on country and first csv and second csv add style fill.
.style("fill", function(d) {
var country = d.key.split("-")[0];
var src = d.key.split("-")[1];
if (src === "first") {
//use texture.js for pattern
var t = textures.lines().thicker().stroke(z(country));
d3.select(".chart").select("svg").call(t);
return t.url();
} else {
return z(country);
}
})
Working code here
Hope this helps!
I have built a chart like this example
http://bl.ocks.org/mbostock/4679202
here I would like to have y-axis labels for each series
the below code is my code to generate graph
since its a stacked layout. it feels a little complex for me imagine the y-axis transform attribute for each series
var margin = {top: 10, right: 5, bottom: -6, left: 5};
var width = $(div).width(),
height = $(div).height() - margin.top - margin.bottom;
var svg = d3.select(div).append('svg')
.attr('width',width)
.attr('height',height)
.append("g")
.attr("transform", "translate("+margin.left+"," + margin.top + ")");;
var nest = d3.nest()
.key(function(d) { return d.group; });
var stack = d3.layout.stack()
.values(function(d) { return d.values; })
.x(function(d) { return d.date; })
.y(function(d) { return d.value; })
.out(function(d, y0) { d.valueOffset = y0; });
var dataByGroup = nest.entries(data);
stack(dataByGroup);
var x = d3.scale.ordinal()
.rangeRoundBands([0, width-7], .25, 0);
var y0 = d3.scale.ordinal()
.rangeRoundBands([height-15, 0], .2);
var timeFormat = d3.time.format("%c");
var MinuteNameFormat = d3.time.format("%H:%M");
var y1 = d3.scale.linear();
var formatDate = function(d,i) {if(i%3 == 0){var date = new Date(parseInt(d)); return MinuteNameFormat(date);}else{return "";} };
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom")
.ticks(d3.time.minutes,15)
.tickFormat(formatDate);
var yAxis = d3.svg.axis()
.scale(y1)
.orient("Left")
.ticks(0)
.tickFormat(formalLabel);
x.domain(dataByGroup[0].values.map(function(d) { return d.date; }));
y0.domain(dataByGroup.map(function(d) { return d.key; }));
y1.domain([0, d3.max(data, function(d) { return d.value; })]).range([y0.rangeBand(), 0]);
var tooltip = d3.select(div)
.append("div")
.style("position", "absolute")
.style("z-index", "10").attr("class","tooltip")
.style("visibility", "hidden")
.style("background","#fff")
.style("border","1px solid #CCC")
.style("font-size", "11px")
.style("padding","11px")
.text("a simple tooltip");
var group = svg.selectAll(".group")
.data(dataByGroup)
.enter().append("g")
.attr("class", "group")
.attr("transform", function(d) { return "translate(0," + y0(d.key) + ")"; });
group.filter(function(d, i) { return !i; }).append("g")
.attr("class", "y axis")
.attr("transform", "translate(0," + y0.rangeBand() + ")")
.call(yAxis);
var tipText
var bars = group.selectAll("rect")
.data(function(d) { return d.values; })
.enter().append("g");
bars.append("rect")
.style("fill", function(d,i) { return getColor(d.ip); })
.attr("x", function(d) { return x(d.date); })
.attr("y", function(d) { return y1(d.value); })
.attr("width",x.rangeBand()) //x.rangeBand()
.attr("height", function(d) { return y0.rangeBand() - y1(d.value); });
group.filter(function(d, i) { return !i; }).append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + y0.rangeBand() + ")")
.call(xAxis);
this is the code for my d3 graph
can anyone suggest ??
This is entirely possible, but it would clutter you graph if you have more than 2 y-axis, one on the left side and one on the right.
Here is an example: http://bl.ocks.org/benjchristensen/2579619
You declare an axis with this code:
var yAxis = d3.svg.axis()
.scale(y1)
.orient("Left")
.ticks(0)
.tickFormat(formalLabel);
You just need to put 1 of this for each element, and you also need to declare a new y1,y2,y3... etc for each element. And finally you need to make sure each data is bound to a different axis y1,y2,y3... etc
Hope this helps.
I have a graph that correctly plots several lines based on a sensor's serial number. The problem is that I need it to transition to a new dataset and the data will overlap. Here's what I have so far......
var thresholdTemp = 72;
var minutes = 5;
var transInterval;
//Main function to create a graph plot
function plot(date1, date2, interval) {
var data;
//If we define a date search parameter then we don't want to have it load interactive
if (date1 == undefined && date2==undefined) {
data = loadMinutesJSON(minutes);
} else {
data = searchJSON(date1, date2, interval);
}
var margin = {top: 20, right: 80, bottom: 60, left: 50},
width = 960 - margin.left - margin.right ,
height = 500 - margin.top - margin.bottom;
//Re-order the data to be more usable by the rest of the script
var parseDate = d3.time.format("%Y-%m-%d %H:%M:%S").parse;
//Set the X domain to exist within the date and times given
var x = d3.time.scale().domain([getMinDate(data), getMaxDate(data)]).range([0, (width)]);
//Y Axis scale set to start at 45 degrees and go up to 30 degrees over highest temp
var y = d3.scale.linear()
.domain([
45,
getMaxTemp(data) + 10
])
.range([height, 0]);
//Set up the line colors based on serial number, this generates a color based on an ordinal value
var color = d3.scale.category20().domain(d3.keys(data).filter(function(key) { return key;}));
//.domain(d3.keys(data[0]).filter(function(key) { return key === 'serial';}));
//Define where the X axis is
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom")
.tickFormat(d3.time.format("%b %d %H:%M:%S"));
//Define where the Y axis is
var yAxis = d3.svg.axis()
.scale(y)
.orient("left");
//When called creates a line with the given datapoints
var line = d3.svg.line()
.interpolate("basis")
.x(function(d) { return x(d.date);})
.y(function(d) { return y(d.reading); });
//An extra line to define a maximum temperature threshold
var threshold = d3.svg.line()
.x(function(d) { return x(d.date);})
.y(function(d) { return y(thresholdTemp); });
//Append the SVG to the HTML element
var svg = d3.select("#plot").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 + ")");
//Define the clipping boundaries
svg.append("defs").append("clipPath")
.attr("id", "clip")
.append("rect")
.attr("width", (width + margin.left + margin.right))
.attr("height", height + margin.top + margin.bottom);
//Add the X 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", ".15em")
.attr("transform" , function (d) {return "rotate(-35)"});
//Add the Y axis and a label denoting it as temperature in F
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("Temperature (F)");
//Create the lines based on serial number
var serial = svg.selectAll(".serial")
.data(data);
var serials = serial.enter().append("g")
.attr("class", "serial");
//Add the extra line for a threshold and align it with the current time
var threshElement = svg.selectAll(".thresh")
.data(data)
.enter().append("g")
.attr("class", ".thresh");
//Add the path to draw lines and clipping so they stay within bounds
var path = serial.append("path")
.attr("clip-path", "url(#clip)")
.attr("class", "line")
.attr("d", function (d) {return line(d.values);})
.style("stroke", function(d,i) {return color(i);});
//Custom path to add a line showing the temperature threshold
var threshpath = threshElement.append("path")
.attr("clip-path", "url(#clip)")
.attr("class", "line")
.attr("d", function(d) { return threshold(d.values);})
.style("stroke", "red");
//Add a label to the end of the threshold line denoting it as the threshold
threshElement.append("text")
.attr("transform", "translate(" + x(getMaxDate(data)) + "," + y(thresholdTemp) + ")")
.attr("x", 3)
.attr("dy", ".35em")
.text("Threshold");
serial.exit().remove();
//Add the legend
//plotLegend(data);
//Load in the new data and add it to the SVG
function transition() {
data = loadMinutesJSON(minutes);
x.domain([getMinDate(data), getMaxDate(data)]);
y.domain([45, getMaxTemp(data) + 10]);
d3.select(".x.axis")
.transition()
.duration(500).call(xAxis)
.selectAll("text")
.style("text-anchor", "end")
.attr("dx", "-.8em")
.attr("dy", ".15em")
.attr("transform" , function (d) {return "rotate(-35)"});
d3.select(".y.axis").transition().duration(500).call(yAxis);
serial.data(data).enter().append("g").attr("class", "serial");
d3.selectAll("path")
.attr("class", "line")
.attr("d", function(d) { return line(d.values);})
.style("stroke", function(d,i) { return color(i);});
}
if(date1 == undefined && date2 == undefined) {
//Set the transition loop to run every 30 seconds
transInterval = setInterval(transition,30000);
}
}
//Set the new time in minutes and re-draw the graph
function setMinutes(newminutes) {
if (transInterval) {
clearInterval(transInterval);
}
d3.selectAll("svg").remove();
console.log("Setting new minutes " + newminutes);
minutes=newminutes;
plot();
}
//Search the database for data between 2 dates and create a new plot of it
function searchDB(date1, date2, intervalInMinutes) {
if (transInterval) {
clearInterval(transInterval);
}
d3.selectAll("svg").remove();
plot(date1, date2, intervalInMinutes);
console.log("Processing Search ");
}
//Quick function to determine the maximum date in a dataset
function getMaxDate(data) {
var arr = [];
for (x in data) {
arr.push(d3.max(data[x].values, function(d) { return d.date;}));
}
return d3.max(arr);
//return d3.max(data[0].values, function(d) { return d.date;});
}
//Calculate the minimum data
function getMinDate(data) {
var arr = [];
for (x in data) {
arr.push(d3.min(data[x].values, function(d) { return d.date;}));
}
return d3.min(arr);
//return d3.min(data[0].values, function(d) { return d.date;});
}
//Calculate the upper maximum temperature
function getMaxTemp(data) {
var arr = [];
for (x in data) {
arr.push(d3.max(data[x].values, function(d) { return d.reading;}));
}
return d3.max(arr);
//return d3.max(data, function(d) { return d3.max(data.values, function(d) {return d.reading})});
}
Here's examples of the data:
First
[{"serial":"2D0008017075F210","values":[{"date":"2013-08-23T20:43:46.000Z","reading":76.1,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:44:16.000Z","reading":76.1,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:44:46.000Z","reading":76.1,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:45:16.000Z","reading":76.1,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:45:47.000Z","reading":76.1,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:46:17.000Z","reading":76.1,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:46:47.000Z","reading":76.1,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:47:17.000Z","reading":76.1,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:47:47.000Z","reading":76.1,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:48:17.000Z","reading":76.1,"elevation":null,"room":null,"system":null}]},{"serial":"1D00080170496D10","values":[{"date":"2013-08-23T20:43:46.000Z","reading":73.4,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:44:16.000Z","reading":73.4,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:44:46.000Z","reading":73.4,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:45:16.000Z","reading":73.4,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:45:47.000Z","reading":73.4,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:46:17.000Z","reading":73.4,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:46:47.000Z","reading":73.4,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:47:17.000Z","reading":73.4,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:47:47.000Z","reading":73.4,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:48:17.000Z","reading":73.4,"elevation":null,"room":null,"system":null}]},{"serial":"380008017037ED10","values":[{"date":"2013-08-23T20:43:46.000Z","reading":74.3,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:44:16.000Z","reading":75.2,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:44:46.000Z","reading":74.3,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:45:16.000Z","reading":74.3,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:45:47.000Z","reading":74.3,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:46:17.000Z","reading":74.3,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:46:47.000Z","reading":75.2,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:47:17.000Z","reading":74.3,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:47:47.000Z","reading":74.3,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:48:17.000Z","reading":74.3,"elevation":null,"room":null,"system":null}]}]
And then transitioning to:
[{"serial":"2D0008017075F210","values":[{"date":"2013-08-23T20:44:46.000Z","reading":76.1,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:45:16.000Z","reading":76.1,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:45:47.000Z","reading":76.1,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:46:17.000Z","reading":76.1,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:46:47.000Z","reading":76.1,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:47:17.000Z","reading":76.1,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:47:47.000Z","reading":76.1,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:48:17.000Z","reading":76.1,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:48:47.000Z","reading":76.1,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:49:17.000Z","reading":76.1,"elevation":null,"room":null,"system":null}]},{"serial":"1D00080170496D10","values":[{"date":"2013-08-23T20:44:46.000Z","reading":73.4,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:45:16.000Z","reading":73.4,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:45:47.000Z","reading":73.4,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:46:17.000Z","reading":73.4,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:46:47.000Z","reading":73.4,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:47:17.000Z","reading":73.4,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:47:47.000Z","reading":73.4,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:48:17.000Z","reading":73.4,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:48:47.000Z","reading":73.4,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:49:17.000Z","reading":73.4,"elevation":null,"room":null,"system":null}]},{"serial":"380008017037ED10","values":[{"date":"2013-08-23T20:44:46.000Z","reading":74.3,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:45:16.000Z","reading":74.3,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:45:47.000Z","reading":74.3,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:46:17.000Z","reading":74.3,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:46:47.000Z","reading":75.2,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:47:17.000Z","reading":74.3,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:47:47.000Z","reading":74.3,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:48:17.000Z","reading":74.3,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:48:47.000Z","reading":74.3,"elevation":null,"room":null,"system":null},{"date":"2013-08-23T20:49:17.000Z","reading":74.3,"elevation":null,"room":null,"system":null}]}]
UPDATE:
I've modified the code quite a bit, but the jsfiddle is here http://jsfiddle.net/8cguF/1/
I'm not sure why the fiddle doesn't work, I tested it on my webserver and it works fine. But what I'm trying to do is construct a graph with the data1 variable in there and then transition it to the data2 variable.