D3 metadata on nodes - javascript
I am following this tutorial for a fore-directed graph, http://bl.ocks.org/mbostock/1153292. I was wondering, how do you pass meta-data / user defined data to the d3 node and keep it around for later actions.
Example:
A user clicks on a node, and a table appears with the relevant meta-data attached to the node, such as label, alerts, comments, and other data that is not specifc to the d3 node/edge architecture.
You can pass whatever data you need to d3 and it will automatically store it on the node based on the nodes data function. Whether you use that data to populate nodes and edges is really up to you.
Here's a basic pie chart (note I'm leaving out the pie and arc definitions for brevity). In this example, data contains the information needed to build the pie chart. These get initially stored on the svg node and then each array element gets stored on the corresponding arc node. This data can contain whatever information you want. I use it to store a name and css class that I then apply to the pie wedges. However it can contain as rich of data as you need.
var data = [
{ name: 'Schedule slip', classname: 'c', value: 5},
{ name: 'Slightly behind', classname: 'b', value: 10},
{ name: 'On track', classname: 'a', value: 20}
];
// select the svg element if it exists
var svg = d3.selectAll('svg').data([data]);
// otherwise create the skeletal chart
var svgEnter = svg.enter().append('svg');
// chart skeleton
var gEnter = svgEnter.append('g').attr('class', 'donut');
gEnter.append('g').attr('class', 'arcs');
// Dimensions
var width = (2 * outerRadius) + margin.left + margin.right,
height = (2 * outerRadius) + margin.top + margin.bottom,
hCenter = width/2,
vCenter = height/2;
svg
.attr('width', width)
.attr('height', height)
.select('.donut')
.attr('transform', translate(hCenter, vCenter));
// draw the arcs
var arcs = svg.select('.arcs').selectAll('.arc')
.data(pie); // compute pie wedge info and store it in arc node
var gArc = arcs.enter().append('g').attr('class', 'arc');
gArc.append('path').each(function(d) { this._current = d; });
arcs.exit().remove();
arcs.select('path')
.attr('class', function(d) { return d.data.classname; })
.transition().duration(500)
.attrTween('d', arcTween);
Related
How can I define map extent based on points displayed?
I have the following map I've made, by overlaying points on a mapbox map using d3.js.
I'm trying to get the map to zoom so that the map extent just includes the d3 markers (points).
I think the pseudocode would look something like this:
//find the northernmost, easternmost, southernmost, westernmost points in the data
//get some sort of bounding box?
//make map extent the bounding box?
Existing code:
<div id="map"></div>
<script>
mapboxgl.accessToken = "YOUR_TOKEN";
var map = new mapboxgl.Map({
container: "map",
style: "mapbox://styles/mapbox/streets-v9",
center: [-74.5, 40.0],
zoom: 9
});
var container = map.getCanvasContainer();
var svg = d3
.select(container)
.append("svg")
.attr("width", "100%")
.attr("height", "500")
.style("position", "absolute")
.style("z-index", 2);
function project(d) {
return map.project(new mapboxgl.LngLat(d[0], d[1]));
}
#Lat, long, and value
var data = [
[-74.5, 40.05, 23],
[-74.45, 40.0, 56],
[-74.55, 40.0, 1],
[-74.85, 40.0, 500],
];
var dots = svg
.selectAll("circle")
.data(data)
.enter()
.append("circle")
.attr("r", 20)
.style("fill", "#ff0000");
function render() {
dots
.attr("cx", function (d) {
return project(d).x;
})
.attr("cy", function (d) {
return project(d).y;
});
}
map.on("viewreset", render);
map.on("move", render);
map.on("moveend", render);
render(); // Call once to render
</script>
Update
I found this code for reference, linked here at https://data-map-d3.readthedocs.io/en/latest/steps/step_03.html:
function calculateScaleCenter(features) {
// Get the bounding box of the paths (in pixels!) and calculate a
// scale factor based on the size of the bounding box and the map
// size.
var bbox_path = path.bounds(features),
scale = 0.95 / Math.max(
(bbox_path[1][0] - bbox_path[0][0]) / width,
(bbox_path[1][1] - bbox_path[0][1]) / height
);
// Get the bounding box of the features (in map units!) and use it
// to calculate the center of the features.
var bbox_feature = d3.geo.bounds(features),
center = [
(bbox_feature[1][0] + bbox_feature[0][0]) / 2,
(bbox_feature[1][1] + bbox_feature[0][1]) / 2];
return {
'scale': scale,
'center': center
};
}
However, when I run the function:
var scaleCenter = calculateScaleCenter(data);
console.log("scalecenter is", scaleCenter)
I get the error:
path is not defined
Furthermore, it seems like I would need to dynamically adjust the center and zoom parameters of the mapbox map. Would I just set these values dynamically with the values produced by the calculateScaleCenter function?
The readthedocs example code is erroneously missing a bit of code Your javascript code is reporting that you have not defined the variable path before using it. You have copied it correctly from readthedocs, but the code you are copying contains an omission. Fortunately, on the readthedocs version of the code snippet, there is a mention of a Stack Overflow answer http://stackoverflow.com/a/17067379/841644 that gives more information. Does adding this information, or something similar corresponding to your situation, help fix your problem? var projection = d3.geo.mercator() .scale(1); var path = d3.geo.path() .projection(projection);
d3js v5 + Topojson v3 Show/Hide element on click legend
I would like this reverse action http://bl.ocks.org/d3noob/5d621a60e2d1d02086bf. When I click on an item of my legend, I want focus all elements of the map within these class.
However, how isolate just one class compared to others?
For example in this image, just show elements where the value is included between 23500 and 29000 and hide other elements.
I suggest to 1/ filter data and 2/ fill with the same color these elements but surely it's easier.
Here is my code : https://plnkr.co/edit/ga82Syjc8zxTdAxTVNXu?p=preview
<!DOCTYPE html>
<head>
<meta charset="utf-8">
<script src="https://unpkg.com/d3#5.0.0/dist/d3.min.js"></script>
<script src="https://unpkg.com/topojson#3.0.0/dist/topojson.min.js"></script>
</head>
<svg class="carte_evolution">
<style>
</style>
<body>
<script>
let w = 600;
let h = 600;
let view = [0,0,600,600];
//Dimension
let svgCarteEvolution = d3.select(".carte_evolution")
.attr("width", "100%")
.attr("height", h)
.attr("preserveAspectRatio","xMidYMid meet")
.attr("viewBox", `${view[0]},${view[1]},${view[2]},${view[3]}`);
//Map projection
choro = d3.map();
projection = d3.geoConicConformal()
.center([1.282743, 46.328377])
.scale(2600)
.translate([w / 2, h / 2]);
path = d3.geoPath()
.projection(projection);
//Load csv and topojson
promises1 = d3.json("ze_WGS84_UTF8.topojson");
promises2 = d3.csv("data.csv");
Promise.all([promises1, promises2]).then(function(fr){
//Join csv + topojson
let featureCollection = topojson.feature(fr[0],fr[0].objects.ze_WGS84_UTF8)
for (var i=0; i< fr[1].length;i++){
var csvId = fr[1][i].codgeo;
var csvValue0 = parseFloat(fr[1][i].value0);
var csvYear0 = fr[1][i].year0;
for (var j=0; j<featureCollection.features.length;j++){
var jsonId = featureCollection.features[j].properties.codgeo;
if (csvId === jsonId) {
featureCollection.features[j].properties.value0 = csvValue0;
featureCollection.features[j].properties.year0 = csvYear0;
break;
}
}
}
let color = d3.scaleQuantile()
.range(["#d1e0c9","#b3cea8","#8fb983","#539f53","#008d36"]);
color.domain([
12000,17500,19500,21500,23500,29000
]);
//Map
svgCarteEvolution.append("g")
.selectAll("path")
.data(featureCollection.features)
.enter()
.append("path")
.attr("class", "dep")
.attr("d", path)
.style("fill", function(d){
var value = d.properties["value0"];
return value? color(value):"#ccc";
});
//legend
let legend = svgCarteEvolution.selectAll("g.legend_entree")
.data(color.range().reverse())
.enter()
.append("g")
.attr("class","legend_entree");
legend
.append('rect')
.attr("x", 30)
.attr("y", function(d, i) {
return 65 + i * 20;
})
.attr("width", 20)
.attr("height", 10)
.style("stroke", "black")
.style("stroke-width", 0.1)
.style("fill", function(d){return d;});
//the data objects are the fill colors
legend
.append('text')
.attr("x", 55) //leave 5 pixel space after the <rect>
.attr("y", function(d, i) {
return 65 + i * 20;
})
.attr("dy", "0.8em") //place text one line *below* the x,y point
.style("font-family","latomedium")
.style("font-size","0.9em")
.text(function(d,i) {
var extent = color.invertExtent(d);
//extent will be a two-element array, format it however you want:
var format = d3.format("");
return `${format(+extent[0])} - ${format(+extent[1])}`
});
});
</script>
</body>
</html>
data.csv
"codgeo","year0","value0","year1","value1"
"0050",2012,19162,2014,19698.8
"0051",2012,18501.125,2014,19125.5
"0052",2012,18684.6666666667,2014,19454
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"0055",2012,17942.5,2014,18657.3
"0056",2012,19299.0476190476,2014,19703.9
"0057",2012,18873.8095238095,2014,19539.3
"0059",2012,18199,2014,18719
"0060",2012,18921,2014,19563.2
"0061",2012,21259.5238095238,2014,21748.3
"0101",2012,,2014,
"0102",2012,,2014,
"0103",2012,,2014,
"0106",2012,,2014,
"0201",2012,,2014,17250
"0202",2012,,2014,17246.7
"0203",2012,,2014,14972
"0204",2012,,2014,14612.6
"0205",2012,,2014,15617.3
"0206",2012,,2014,13369
"0301",2012,,2014,
"0302",2012,,2014,
"0303",2012,,2014,
"0401",2012,,2014,12522.3
"0402",2012,,2014,15483.8
"0403",2012,,2014,14344.6
"0404",2012,,2014,13134
"0601",2012,,2014,
"1101",2012,23144.7619047619,2014,23464
"1102",2012,22223.5,2014,22729.1
"1103",2012,20637.2222222222,2014,21088
"1104",2012,20402,2014,20901
"1105",2012,21782.7777777778,2014,22274.4
"1106",2012,18304.375,2014,18918
"1107",2012,20038.6666666667,2014,20406.5
"1108",2012,19493,2014,19936.5
"1109",2012,28156.8901098901,2014,28660
"1110",2012,20294.8,2014,20639.5
"1111",2012,22490.6666666667,2014,22812.4
"1112",2012,25996.6666666667,2014,26503.5
"1113",2012,25301.7391304348,2014,25639.6
"1114",2012,21184,2014,21611.9
"1115",2012,20586,2014,20954
"1116",2012,25449.5,2014,25742.4
"1117",2012,22279.3333333333,2014,22665
"1118",2012,19040,2014,19307.2
"1119",2012,22059.0909090909,2014,22519
"2101",2012,17416,2014,18133.9
"2102",2012,18721,2014,19275.4
"2103",2012,19554.7826086957,2014,20204
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"2105",2012,19630.5555555556,2014,20157.6
"2106",2012,18689,2014,19445.2
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"2201",2012,19209.5238095238,2014,19791
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"2205",2012,17320.8333333333,2014,18056
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"2507",2012,18855,2014,19788.7
"2508",2012,18192.0833333333,2014,19076
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"2510",2012,18837.2222222222,2014,19621.4
"2511",2012,18071.5,2014,18835
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"2601",2012,20356,2014,21106.7
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"2603",2012,20719.6666666667,2014,21264.4
"2604",2012,18828.3333333333,2014,19445.7
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"2607",2012,18150,2014,18717
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"8221",2012,21245.0909090909,2014,21706.7
"8222",2012,23036.0869565217,2014,23862.9
"8301",2012,18453.9393939394,2014,19023.3
"8302",2012,18534.3333333333,2014,19190
"8303",2012,18492,2014,19091.3
"8304",2012,18855.7142857143,2014,19606.7
"8305",2012,17307.5595238095,2014,18159
"8306",2012,17459.1666666667,2014,18457
"8307",2012,17890.4761904762,2014,18484.8
"8308",2012,18963,2014,19466.1
"8309",2012,18347.1428571429,2014,19084
"8310",2012,20412,2014,21071.7
"8311",2012,19008.5,2014,19795.7
"8312",2012,18111.6666666667,2014,18856.5
"9101",2012,17408.5714285714,2014,17945.3
"9102",2012,16617.3333333333,2014,17173
"9103",2012,17123.3333333333,2014,17661
"9104",2012,16840,2014,17349.6
"9105",2012,18586,2014,19386.7
"9106",2012,18106.6666666667,2014,18625
"9107",2012,17128.4615384615,2014,17763
"9108",2012,16940.8695652174,2014,17503.5
"9109",2012,17352,2014,17867.5
"9110",2012,16858,2014,17391.3
"9111",2012,19566.6666666667,2014,20024.4
"9112",2012,17690.4,2014,18320.7
"9113",2012,18336.5217391304,2014,19110
"9114",2012,18100.4545454545,2014,18640.7
"9115",2012,17447.2222222222,2014,17903.9
"9116",2012,17108,2014,17654.6
"9301",2012,18502,2014,19034.2
"9302",2012,18934.8,2014,19401.5
"9303",2012,18952.3076923077,2014,19365.3
"9304",2012,18794.7619047619,2014,19335
"9305",2012,20466.1111111111,2014,20830.8
"9306",2012,20292.8,2014,20668.7
"9307",2012,19959,2014,20333.3
"9308",2012,21603.3333333333,2014,22211.1
"9309",2012,18084,2014,18679.5
"9310",2012,19009,2014,19507
"9311",2012,19514.6666666667,2014,20090
"9312",2012,19813.6,2014,20490.6
"9313",2012,18840,2014,19254.8
"9314",2012,19946.0357142857,2014,20238
"9315",2012,19492,2014,20070.5
"9316",2012,17739.1304347826,2014,18245.7
"9317",2012,17904,2014,18510.6
"9401",2012,19633.8461538462,2014,20418.3
"9402",2012,17570,2014,17890
"9403",2012,17200.8333333333,2014,17640.5
"9404",2012,17777.2666666667,2014,18376.4
"9405",2012,17254.5,2014,17473.5
"9406",2012,17553.3333333333,2014,18426
"9407",2012,16885,2014,17577.7
Your instincts will work - filter the path data according to the color:
features.filter(function(feature) {
return color(feature.properties["value0"]) == d;
})
I saved your feature paths in the variable features in the plunkrs below
As the datum of each legend entry is a color, we can just filter the paths based on which datum would produce the same color when scaled. We could alternatively give class names or apply other indicators to filter.
Color the filtered paths on the event, revert all paths on some sort anti-event. Since you haven't said what will reset the map, I'll assume if you click on the same legend entry twice in a row the map should reset (this lets you toggle between each legend entry). To do so we'll need to keep track of which legend entry is currently in focus:
var highlighted = "";
Then we just listen for a click event on the legend entry and:
.on("click",function(d,i) {
highlighted = ""; //reset
// revert map back to default state
}
else {
highlighted = d;
// filter features to highlight certain ones.
})
Altogether that might look like:
.on("click",function(d,i) {
// clicking an active entry: reset:
if(highlighted == d) {
// reset opacity on each path:
features.style("opacity",1);
// reset legend entries' fills:
legend.selectAll("rect")
.style("fill",function(d) { return d; });
// reset highlight variable since nothing is highlighted
highlighted = "";
}
// clicking a different entry: highlight that entry:
else {
//update highlighted variable
highlighted = d;
// set opacity low for all features, filter for chosen features and style accordingly:
features.style("opacity",0.2)
.filter(function(f) {
return color(f.properties["value0"]) == d;
})
.style("opacity",1);
// hollow legend entries
legend.selectAll("rect")
.style("fill","white")
// fill selected option:
d3.select(this).select("rect")
.style("fill",function(d) { return d;});
}
})
Which looks something like:
(I'm formatting the legend entries to show what is highlighted - I changed your stroke to accomodate this)
Here's an updated plunkr.
If you want to be able to toggle multiple legend items at once, then the logic gets a bit more detailed and the highlighted variable becomes an array
As an alternative with mouseover/off events rather than clicks (so no need to track what is actively shown), here's a slightly different approach using the same principles: plunkr
Dashed line doesn't work
I have a list of radio buttons indicating a country.
I want that when user clicks on a radio button, the right line chart are loaded.
To do so I have 4 csv files with data for each country.
The csv files are like this:
year,death,value
2012,Tuberculosis,NA
2011,Tuberculosis,NA
2010,Tuberculosis,301
2009,Tuberculosis,344
2008,Tuberculosis,333
2007,Tuberculosis,329
2006,Tuberculosis,350
2005,Tuberculosis,NA
2004,Tuberculosis,NA
2003,Tuberculosis,396
2002,Tuberculosis,413
2001,Tuberculosis,415
2000,Tuberculosis,460
1999,Tuberculosis,517
1998,Tuberculosis,558
1997,Tuberculosis,597
1996,Tuberculosis,609
1995,Tuberculosis,647
2012,Tetanus,NA
2011,Tetanus,NA
2010,Tetanus,17
2009,Tetanus,27
2008,Tetanus,18
...
HERE is my code.
I don't know why Plunker create the error "Bad request".
Anyway, this is my result: if the user clicks on Italy, then the browser loads Italy.csv file and creates the chart, if the user clicks on Hungary, then browser loads Hungary.csv file and creates the chart and so on.
The problem is that in my csv files, there are some "holes" on data.
For example, I haven't any data about number of deaths in Italy between 2003 and 2006 so I want to show a dashed line instead of a solid line.
In my chart I'm not able to do that.
In particular, I wrote code to do that but it doesn't work.
Note that the missing data will change according to the countries. For some countries I have all the data and not for other countries.
Also, if the user clicks on the circle (the legend) of the corresponding series disappears, the circle should turn white and the axes change to fit the current data.
This doesn't work and I don't understand why.
As you can see, the console doesn't show any errors.
In this similar example, it works: PLUNKER
I badly explained myself. With "missing data" I mean NA values.
NEW PLUNKER
I understand that the chart of Belgium is right.
I tried to understand why the Denmark chart is that but sorry, I don't understand when you say "Code generate multiples paths for every abailable data and just ONE path for all NA data. Instead it must generate a segments for every gap on data.".
The code is organized in this way:
// some code...
/**************************************************************************
*** GET SELECTED COUNTRY AND DRAW FIRST CHART ****************************
**************************************************************************/
var l_selectedCountry = document.querySelector('input[name="l_country"]:checked').value;
l_createLineChart(l_selectedCountry);
var l_updateradio = function() {
l_selectedCountry = $('input[name=l_country]:checked', '#l_countries').val();
l_createLineChart(l_selectedCountry);
}
$("#l_countries").on("change", l_updateradio);
/**************************************************************************
*** DRAW THE RIGHT CHART BASED ON SELECTED COUNTRY **********************
**************************************************************************/
function l_createLineChart(l_selectedCountry) {
// remove last chart
d3.select("#l_chartcontainer")
.html("");
// adds the svg canvas
var svg = d3.select("#l_chartcontainer")
.append("svg")
.attr("width", l_width + margin.left + margin.right)
.attr("height", l_height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var l_file = "./data/line_data/" + l_selectedCountry + ".csv";
/**************************************************************************
*** GET RIGHT DATA ********************************************************
**************************************************************************/
d3.csv(l_file, function(l_error, l_data) {
l_data.forEach(function(d) {
d.year = parseDate(d.year);
d.value = +d.value;
});
// code about axis...
/**************************************************************************
*** GET ALL LINE DATA (solid & dashed) ************************************
**************************************************************************/
var l_dataNest = d3.nest()
.key(function(d) {
return d.death;
})
.entries(l_data);
console.log("l_dataNest");
console.log(l_dataNest);
// code about labels...
/**************************************************************************
*** GET DASHED LINE DATA **************************************************
**************************************************************************/
var l_dashedData = l_getDashed(l_dataNest); // dashed line (extreme point) for each disease
console.log("l_dashedData");
console.log(l_dashedData);
// other code...
/**************************************************************************
*** DRAW SOLID LINE *******************************************************
**************************************************************************/
svg.append('g')
.attr('class', 'l_line-container')
.selectAll('.normal-line-paths')
.data(l_dataNest) // set our data
.enter() // enter the data and start appending elements
.append('path')
.call(l_path); // calling our path function for later use when appending lines
/**************************************************************************
*** DRAW DASHED LINE ******************************************************
**************************************************************************/
svg.append('g')
.attr('class', 'dashed-line-container')
.selectAll('.dashed-line-paths')
.data(l_dashedData)
.enter()
.append('path')
.call(l_dashedPath);
// other code...
});
}
// code about event...
function l_path(myPath) {
myPath.style("fill", "none")
.style("stroke", function(d) {
return l_color[d.key];
})
.attr('class', function(d) {
return 'normal-line-paths path-' + d.key.replace(/\s+/g, '');
})
.attr("d", function(d) {
return valueline(d.values);
})
.style("opacity", 0.5)
.on("mouseover", l_onMouseOverLine)
.on("mouseout", l_onMouseOutLine);
}
function l_dashedPath(myPath) {
myPath.style("fill", "none")
.style("stroke", function(d) {
return l_color[d.key];
})
.style("stroke-width", 5)
.attr("stroke-dasharray", '4')
.attr('class', function(d) {
return 'dashed-line-paths path-' + d.key.replace(/\s+/g, '');
})
.attr("d", function(d) {
return valueline(d.values);
})
.style("opacity", 0.5)
.on("mouseover", l_onMouseOverLine)
.on("mouseout", l_onMouseOutLine);
}
/**
* Function to return the data points that will create the dashed lines.
*/
function l_getDashed(data) {
return data.map(function(collection, index) {
var l_startNaN = false;
var l_dashed = {
key: collection.key, // disease
values: [] //array of death, death and year
};
collection.values.forEach(function(dataPoint, index) {
var l_value = dataPoint.value;
var values = collection.values;
if($.isNumeric(l_value) && l_startNaN) {
l_startNaN = false;
l_dashed.values.push(values[index]);
}
else {
if(($.isNumeric(l_value) && l_startNaN) || (!$.isNumeric(l_value) && !l_startNaN)) {
l_startNaN = true;
l_dashed.values.push(values[index-1]);
}
}
})
if((l_dashed.values.length % 2)) {
l_dashed.values.pop();
}
return l_dashed;
});
}
If I comment this piece of code:
// apend a group element which will contain our dashed lines
/*svg.append('g')
.attr('class', 'dashed-line-container')
.selectAll('.dashed-line-paths')
.data(l_dashedData)
.enter()
.append('path')
.call(l_dashedPath);*/
I get:
and if I comment:
// apend a group element which will contain our lines
/*svg.append('g')
.attr('class', 'l_line-container')
.selectAll('.normal-line-paths')
.data(l_dataNest) // set our data
.enter() // enter the data and start appending elements
.append('path')
.call(l_path); */
I get:
So there must be a problem in l_dashedPath(myPath) method.
But if I print d, I get the four ends of the two portions dashed (Tuberculosis): 23, 32, 15, 16 that are correct.
.attr("d", function(d) {
console.log(d);
return valueline(d.values);
})
Also the l_getDashed(data) method seems correct to me.
Inside Plunker you can't have spaces on filename. Rename it 'United Kingdom.csv' to something with underscore (_) or so. "United_Kingdom.csv"
Your function l_getdashed, don't take the next point for every dashed segment. At the end you just get a point, not a segment.
I'ver re-refactory your function:
function l_getDashed(data) {
return data.map(function(collection, index) {
var l_startNaN = false;
var l_dashed = {
key: collection.key,
values: []
};
collection.values.forEach(function(dataPoint, index) {
var l_value = dataPoint.value;
var values = collection.values;
if ($.isNumeric(l_value) && l_startNaN) {
l_startNaN = false;
l_dashed.values.push(values[index]);
} else if ( !$.isNumeric(l_value) !== l_startNaN) {
l_startNaN = true
l_dashed.values.push(values[index-1]);
}
})
if (l_dashed.values.length % 2) { l_dashed.values.pop() }
return l_dashed;
});
}
Here the update working Plunker
DENMARK
Your code has concept errors. Thats why you see 'Denmark' like that.
Graphically:
Code generate multiples paths for every abailable data and just ONE path for all NA data. Instead it must generate a segments for every gap on data.-
BELGIUM
Belguim is a different history. The graph is ok, your data has isolated points (red dots) and can not be dismiss.
You can not draw a dashed-line from 1997-2009 (black arrow) because you'll discarding data.
Updating several d3.js cartograms in the same container
I'm trying to update 4 cartograms in the same div.
First I create 4 original maps, each in its own svg, like this:
function makeMaps(data){
var mapsWrapper = d3.select('#maps');
data.forEach(function(topoJSON,i){
var quantize = d3.scale.quantize()
.domain([0, 1600000])
.range(d3.range(5).map(function(i) { return "q" + i; }));
var layer = Object.keys(topoJSON.objects)[0]
var svg = mapsWrapper.append('svg')
.attr("class","mapa")
.attr({
width: "350px",
height: "350px"
});
var muns = svg.append("g")
.attr("class", "muns")
.attr("id",layer)
.selectAll("path");
var geometry = topoJSON.objects[layer].geometries;
var carto = cartos[i]
var features = carto.features(topoJSON, geometry),
path = d3.geo.path()
.projection(projections[i]);
muns.data(features)
.enter()
.append("path")
.attr("class", function(d) {
return quantize(d.properties['POB1']);
})
.attr("d", path);
});
}
This part works well and creates 4 maps. After this, I want to update the paths in each map with the paths calculated by cartogram.js. The problem is that I can't get to the path data in each of the maps, here's what I'm trying to do:
...some code to calculate cartogram values
var cartograms = d3.selectAll(".mapa").selectAll("g").selectAll("path")
cartograms.forEach(function(region,i){
region.data(carto_features[i])
.select("title")
.text(function (d) {
return d.properties.nom_mun+ ': '+d.properties[year];
});
In cartograms I'm getting a nested selection: an array of paths for each map, which is what I though I needed, but inside the forEach I get the error region.data() is not a function. Each region is an array of paths each of which has a data property. I've tried with several ways of selecting the paths to no avail and I'm a little lost now. Thanks for your help
D3 graph not updating with uniform data
I'm working on a bar chart. Strangely enough, the bar chart works fine for unique data, but when updated with data that is exactly the same, the graph does not update. It is not a scale/spacing problem, as the rect's representing the data aren't being generated at all.
Here is a JSFiddle demonstrating my problem.
More information
The bar chart is given data in the following form:
data.push({
temperature: 10,
humidity: 20,
light: 30
});
The bar chart creates a separate bar for each attribute. The attributes are represented by this type object, to help with spacing and naming the bars:
// type objects
typeObject = {
temperature: {
string: "temperature", //type name
class: "temp", //css class for styling
initDis: 0, //defines where to place first bar
dis: 3, //defines space between the next temp bar
base: tempBase, //the <g> element base
color: "#A6E22E" //color
},
humidity: {
...
},
...
};
And, every time data is added, these type objects are iterated through and passed into the following function, to make a d3 'update pattern':
var createBarsForCategory = function (type) {
var bars;
//`data` has been updated to an array containing newly added data
bars = type.base.selectAll("rect")
.data(data, function(d) {
return d[type.string];
});
//general update transition
bars.transition().duration(500).attr("x", function(d, i) {
return i * (m.bar.w + m.bar.space) * type.dis + m.bar.w * type.initDis;
});
// enter
bars.enter()
.insert("rect")
.attr("class", type.class)
.attr("width", m.bar.w)
.attr("height", function (d) {
return 0;
})
.attr("x", function (d, i) {
return i * (m.bar.w + m.bar.space) * type.dis + m.bar.w * type.initDis;
})
.attr("y", function (d) {
return scales.yscale(0);
})
.transition().delay(100).duration(1000)
.attr("height", function (d) {
return scales.yscale(0) - scales.yscale(d[type.string]);
})
.attr("y", function (d) {
return scales.yscale(d[type.string]);
})
;
// remove
bars.exit().remove();
};
Thank you in advance for your time.
I have updated your fiddle http://jsfiddle.net/pyLh7tcn/33/ with the following code on lines 173-178:
bars = type.base.selectAll("rect")
.data(data);
Now both random and uniform data sets are plotting properly.
Hope this helps.