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Adopting this example, I get an axis that is incorrect. The axis shows labels for 50 000, 00 000, 50 000, etc, but my data is from 0 - 513836. This is what the axis looks like:
Here's my code and data:
data = [{
"value": "478176",
"date": "2020-06-28"
}, {
"value": "478278",
"date": "2020-06-29"
}, {
"value": "478559",
"date": "2020-06-30"
}, {
"value": "478559",
"date": "2020-07-01"
}, {
"value": "479175",
"date": "2020-07-02"
}, {
"value": "479175",
"date": "2020-07-03"
}, {
"value": "479175",
"date": "2020-07-04"
}, {
"value": "479379",
"date": "2020-07-05"
}, {
"value": "479633",
"date": "2020-07-06"
}, {
"value": "480010",
"date": "2020-07-07"
}, {
"value": "480531",
"date": "2020-07-08"
}, {
"value": "480794",
"date": "2020-07-09"
}, {
"value": "480794",
"date": "2020-07-10"
}, {
"value": "480794",
"date": "2020-07-11"
}, {
"value": "480995",
"date": "2020-07-12"
}, {
"value": "481161",
"date": "2020-07-13"
}, {
"value": "481161",
"date": "2020-07-14"
}, {
"value": "481934",
"date": "2020-07-15"
}, {
"value": "482218",
"date": "2020-07-16"
}, {
"value": "482218",
"date": "2020-07-17"
}, {
"value": "482218",
"date": "2020-07-18"
}, {
"value": "482851",
"date": "2020-07-19"
}, {
"value": "483331",
"date": "2020-07-20"
}, {
"value": "484302",
"date": "2020-07-21"
}, {
"value": "484569",
"date": "2020-07-22"
}, {
"value": "484734",
"date": "2020-07-23"
}, {
"value": "484734",
"date": "2020-07-24"
}, {
"value": "484734",
"date": "2020-07-25"
}, {
"value": "485123",
"date": "2020-07-26"
}, {
"value": "485597",
"date": "2020-07-27"
}, {
"value": "486763",
"date": "2020-07-28"
}, {
"value": "487392",
"date": "2020-07-29"
}, {
"value": "487392",
"date": "2020-07-30"
}, {
"value": "487392",
"date": "2020-07-31"
}, {
"value": "487392",
"date": "2020-08-01"
}, {
"value": "487392",
"date": "2020-08-02"
}, {
"value": "487909",
"date": "2020-08-03"
}, {
"value": "488496",
"date": "2020-08-04"
}, {
"value": "488496",
"date": "2020-08-05"
}, {
"value": "490538",
"date": "2020-08-06"
}, {
"value": "490538",
"date": "2020-08-07"
}, {
"value": "490538",
"date": "2020-08-08"
}, {
"value": "491490",
"date": "2020-08-09"
}, {
"value": "492511",
"date": "2020-08-10"
}, {
"value": "494185",
"date": "2020-08-11"
}, {
"value": "494730",
"date": "2020-08-12"
}, {
"value": "495052",
"date": "2020-08-14"
}, {
"value": "495052",
"date": "2020-08-15"
}, {
"value": "495610",
"date": "2020-08-16"
}, {
"value": "496394",
"date": "2020-08-17"
}, {
"value": "496394",
"date": "2020-08-18"
}, {
"value": "498006",
"date": "2020-08-19"
}, {
"value": "498631",
"date": "2020-08-20"
}, {
"value": "498631",
"date": "2020-08-21"
}, {
"value": "498631",
"date": "2020-08-22"
}, {
"value": "499186",
"date": "2020-08-23"
}, {
"value": "499561",
"date": "2020-08-24"
}, {
"value": "500491",
"date": "2020-08-25"
}, {
"value": "500491",
"date": "2020-08-26"
}, {
"value": "501295",
"date": "2020-08-27"
}, {
"value": "501295",
"date": "2020-08-28"
}, {
"value": "501295",
"date": "2020-08-29"
}, {
"value": "501748",
"date": "2020-08-30"
}, {
"value": "502284",
"date": "2020-08-31"
}, {
"value": "503353",
"date": "2020-09-01"
}, {
"value": "503719",
"date": "2020-09-02"
}, {
"value": "504046",
"date": "2020-09-03"
}, {
"value": "504046",
"date": "2020-09-04"
}, {
"value": "504046",
"date": "2020-09-05"
}, {
"value": "504204",
"date": "2020-09-06"
}, {
"value": "504697",
"date": "2020-09-07"
}, {
"value": "505659",
"date": "2020-09-08"
}, {
"value": "506346",
"date": "2020-09-12"
}, {
"value": "507109",
"date": "2020-09-14"
}, {
"value": "508650",
"date": "2020-09-16"
}, {
"value": "509708",
"date": "2020-09-17"
}, {
"value": "509708",
"date": "2020-09-18"
}, {
"value": "509708",
"date": "2020-09-19"
}, {
"value": "510154",
"date": "2020-09-20"
}, {
"value": "510226",
"date": "2020-09-21"
}, {
"value": "511136",
"date": "2020-09-22"
}, {
"value": "511252",
"date": "2020-09-23"
}, {
"value": "511253",
"date": "2020-09-24"
}, {
"value": "511253",
"date": "2020-09-25"
}, {
"value": "511253",
"date": "2020-09-26"
}, {
"value": "511363",
"date": "2020-09-27"
}, {
"value": "511467",
"date": "2020-09-28"
}, {
"value": "511467",
"date": "2020-09-29"
}, {
"value": "512016",
"date": "2020-09-30"
}, {
"value": "512016",
"date": "2020-10-01"
}, {
"value": "512016",
"date": "2020-10-02"
}, {
"value": "512016",
"date": "2020-10-03"
}, {
"value": "512610",
"date": "2020-10-04"
}, {
"value": "512889",
"date": "2020-10-05"
}, {
"value": "513552",
"date": "2020-10-06"
}, {
"value": "513836",
"date": "2020-10-07"
}];
parseDate = d3.timeParse("%Y-%m-%d");
line = d3.line()
.defined(d => !isNaN(d.value))
.x(d => x(parseDate(d.date)))
.y(d => y(parseInt(d.value)));
margin = ({
top: 20,
right: 30,
bottom: 30,
left: 40
});
height = 500;
width = 500;
x = d3.scaleUtc()
.domain(d3.extent(data, d => parseDate(d.date)))
.range([margin.left, width - margin.right]);
y = d3.scaleLinear()
.domain([0, d3.max(data, d => parseInt(d.value))]).nice()
.range([height - margin.bottom, margin.top]);
xAxis = g => g
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(d3.axisBottom(x).ticks(width / 80).tickSizeOuter(0));
yAxis = g => g
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(y));
svg = d3.select("body").append("svg")
//.attr("viewBox", [0, 0, width, height]);
.attr("width", "100%")
.attr("height", "100%");
svg.append("g")
.call(xAxis);
svg.append("g")
.call(yAxis);
svg.append("path")
.datum(data)
.attr("fill", "none")
.attr("stroke", "steelblue")
.attr("stroke-width", 1.5)
.attr("stroke-linejoin", "round")
.attr("stroke-linecap", "round")
.attr("d", line);
<script src="https://d3js.org/d3.v6.min.js"></script>
While trying to use the tooltip for each ring in a multiple ring donut chart using d3js , while hovering on the ring it just shows the values for the first child . Below is the code which shows the rings as well as the tooltip . What would I be doing in order to get all the correct item on hover.How do I iterate through the json to get the correct tooltip.
var dataset = [{
"name": "Population Quater",
"code": "POP_QUATER",
"parent": "POP_BY_QUAT",
"children": [{
"name": "POP_CYQ1",
"code": "POP_CYQ1",
"parent": "POP_QUATER",
"value": "6772",
"label": "CYQ1",
"children": []
}, {
"name": "POP_CYQ2",
"code": "POP_CYQ2",
"parent": "POP_QUATER",
"value": "6716",
"label": "CYQ2",
"children": []
}, {
"name": "POP_CYQ3",
"code": "POP_CYQ3",
"parent": "POP_QUATER",
"value": "6714",
"label": "CYQ3",
"children": []
}, {
"name": "POP_CYQ4",
"code": "POP_CYQ4",
"parent": "POP_QUATER",
"value": "6703",
"label": "CYQ4",
"children": []
}, {
"name": "POP_LYQ1",
"code": "POP_LYQ1",
"parent": "POP_QUATER",
"value": "6721",
"label": "LYQ1",
"children": []
}, {
"name": "POP_LYQ2",
"code": "POP_LYQ2",
"parent": "POP_QUATER",
"value": "6671",
"label": "LYQ2",
"children": []
}, {
"name": "POP_LYQ3",
"code": "POP_LYQ3",
"parent": "POP_QUATER",
"value": "6708",
"label": "LYQ3",
"children": []
}, {
"name": "POP_LYQ4",
"code": "POP_LYQ4",
"parent": "POP_QUATER",
"value": "6734",
"label": "LYQ4",
"children": []
}]
}, {
"name": "Transient Pop",
"code": "TRANSIENT_POP",
"parent": "POP_BY_QUAT",
"label": "Transient Pop",
"children": [{
"name": "TRANSIENT_LYQ1",
"code": "TRANSIENT_LYQ1",
"parent": "TRANSIENT_POP",
"value": "54",
"label": "LYQ1",
"children": []
}, {
"name": "TRANSIENT_LYQ2",
"code": "TRANSIENT_LYQ2",
"parent": "TRANSIENT_POP",
"value": "86",
"label": "LYQ2",
"children": []
}, {
"name": "TRANSIENT_LYQ3",
"code": "TRANSIENT_LYQ3",
"parent": "TRANSIENT_POP",
"value": "219",
"label": "LYQ3",
"children": []
}, {
"name": "TRANSIENT_LYQ4",
"code": "TRANSIENT_LYQ4",
"parent": "TRANSIENT_POP",
"value": "191",
"label": "LYQ4",
"children": []
}, {
"name": "TRANSIENT_CYQ1",
"code": "TRANSIENT_CYQ1",
"parent": "TRANSIENT_POP",
"value": "52",
"label": "CYQ1",
"children": []
}, {
"name": "TRANSIENT_CYQ2",
"code": "TRANSIENT_CYQ2",
"parent": "TRANSIENT_POP",
"value": "91",
"label": "CYQ2",
"children": []
}, {
"name": "TRANSIENT_CYQ3",
"code": "TRANSIENT_CYQ3",
"parent": "TRANSIENT_POP",
"value": "222",
"label": "CYQ3",
"children": []
}, {
"name": "TRANSIENT_CYQ4",
"code": "TRANSIENT_CYQ4",
"parent": "TRANSIENT_POP",
"value": "186",
"label": "CYQ4",
"children": []
}]
}, {
"name": "Seasonal Pop",
"code": "SEASONAL_POP",
"parent": "POP_BY_QUAT",
"label": "Seasonal Pop",
"children": [{
"name": "SEASONAL_LYQ1",
"code": "SEASONAL_LYQ1",
"parent": "SEASONAL_POP",
"value": "2",
"label": "LYQ1",
"children": []
}, {
"name": "SEASONAL_LYQ2",
"code": "SEASONAL_LYQ2",
"parent": "SEASONAL_POP",
"value": "24",
"label": "LYQ2",
"children": []
}, {
"name": "SEASONAL_LYQ3",
"code": "SEASONAL_LYQ3",
"parent": "SEASONAL_POP",
"value": "152",
"label": "LYQ3",
"children": []
}, {
"name": "SEASONAL_LYQ4",
"code": "SEASONAL_LYQ4",
"parent": "SEASONAL_POP",
"value": "55",
"label": "LYQ4",
"children": []
}, {
"name": "SEASONAL_CYQ1",
"code": "SEASONAL_CYQ1",
"parent": "SEASONAL_POP",
"value": "2",
"label": "CYQ1",
"children": []
}, {
"name": "SEASONAL_CYQ2",
"code": "SEASONAL_CYQ2",
"parent": "SEASONAL_POP",
"value": "22",
"label": "CYQ2",
"children": []
}, {
"name": "SEASONAL_CYQ3",
"code": "SEASONAL_CYQ3",
"parent": "SEASONAL_POP",
"value": "161",
"label": "CYQ3",
"children": []
}, {
"name": "SEASONAL_CYQ4",
"code": "SEASONAL_CYQ4",
"parent": "SEASONAL_POP",
"value": "55",
"label": "CYQ4",
"children": []
}]
}];
var width = 460,
height = 300,
cwidth = 25;
var color = d3.scaleOrdinal(d3.schemeCategory20);
var pie = d3.pie()
.sort(null).value(function(d) {
return d.value; //since score is the parameter for the pie
});
var arc = d3.arc();
var svg = d3.select("body").append("svg")
.attr("width", width)
.attr("height", height)
.append("g")
.attr("transform", "translate(" + width / 2 + "," + height / 2 + ")");
var gs = svg.selectAll("g")
.data(dataset)
.enter()
.append("g")
.attr("class", "arc").on("mouseover", function() {
tooltip.style("display", null);
})
.on("mouseout", function() {
tooltip.style("display", "none");
})
.on("mousemove", function(d, i) {
tooltip.transition().duration(200)
.style("opacity", 0.9);
tooltip.select("div").html(d.children[i].name + ":" + " <strong>" + d.children[i].value + "</strong>")
.style("position", "fixed")
.style("text-align", "center")
.style("width", "120px")
.style("height", "45px")
.style("padding", "2px")
.style("font", "12px sans-serif")
.style("background", "lightsteelblue")
.style("border", "0px")
.style("border-radius", "8px")
.style("left", (d3.event.pageX) + "px")
.style("top", (d3.event.pageY - 28) + "px");
});
var tooltip = d3.select("body").append("div")
.attr("class", "tooltip")
.style("opacity", 0.5);
tooltip.append("rect")
.attr("width", 30)
.attr("height", 20)
.attr("fill", "#ffffff")
.style("opacity", 0.5);
tooltip.append("div")
.attr("x", 15)
.attr("dy", "1.2em")
.style("text-anchor", "middle")
.attr("font-size", "1.5em")
.attr("font-weight", "bold");
var path = gs.selectAll("path")
.data(function(d, i) {
return pie(d.children).map(function(payload) {
return {
payload: payload,
parentIndex: i
}
})
})
.enter().append("path")
.attr("fill", function(d, i) {
return color(i);
})
.attr("d", function(d, i, j) {
return arc.innerRadius(10 + cwidth * d.parentIndex).outerRadius(cwidth * (d.parentIndex + 1))(d.payload);
});
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/4.11.0/d3.min.js"></script>
var dataset = [{
"name": "Population Quater",
"code": "POP_QUATER",
"parent": "POP_BY_QUAT",
"children": [{
"name": "POP_CYQ1",
"code": "POP_CYQ1",
"parent": "POP_QUATER",
"value": "6772",
"label": "CYQ1",
"children": []
}, {
"name": "POP_CYQ2",
"code": "POP_CYQ2",
"parent": "POP_QUATER",
"value": "6716",
"label": "CYQ2",
"children": []
}, {
"name": "POP_CYQ3",
"code": "POP_CYQ3",
"parent": "POP_QUATER",
"value": "6714",
"label": "CYQ3",
"children": []
}, {
"name": "POP_CYQ4",
"code": "POP_CYQ4",
"parent": "POP_QUATER",
"value": "6703",
"label": "CYQ4",
"children": []
}, {
"name": "POP_LYQ1",
"code": "POP_LYQ1",
"parent": "POP_QUATER",
"value": "6721",
"label": "LYQ1",
"children": []
}, {
"name": "POP_LYQ2",
"code": "POP_LYQ2",
"parent": "POP_QUATER",
"value": "6671",
"label": "LYQ2",
"children": []
}, {
"name": "POP_LYQ3",
"code": "POP_LYQ3",
"parent": "POP_QUATER",
"value": "6708",
"label": "LYQ3",
"children": []
}, {
"name": "POP_LYQ4",
"code": "POP_LYQ4",
"parent": "POP_QUATER",
"value": "6734",
"label": "LYQ4",
"children": []
}]
}, {
"name": "Transient Pop",
"code": "TRANSIENT_POP",
"parent": "POP_BY_QUAT",
"label": "Transient Pop",
"children": [{
"name": "TRANSIENT_LYQ1",
"code": "TRANSIENT_LYQ1",
"parent": "TRANSIENT_POP",
"value": "54",
"label": "LYQ1",
"children": []
}, {
"name": "TRANSIENT_LYQ2",
"code": "TRANSIENT_LYQ2",
"parent": "TRANSIENT_POP",
"value": "86",
"label": "LYQ2",
"children": []
}, {
"name": "TRANSIENT_LYQ3",
"code": "TRANSIENT_LYQ3",
"parent": "TRANSIENT_POP",
"value": "219",
"label": "LYQ3",
"children": []
}, {
"name": "TRANSIENT_LYQ4",
"code": "TRANSIENT_LYQ4",
"parent": "TRANSIENT_POP",
"value": "191",
"label": "LYQ4",
"children": []
}, {
"name": "TRANSIENT_CYQ1",
"code": "TRANSIENT_CYQ1",
"parent": "TRANSIENT_POP",
"value": "52",
"label": "CYQ1",
"children": []
}, {
"name": "TRANSIENT_CYQ2",
"code": "TRANSIENT_CYQ2",
"parent": "TRANSIENT_POP",
"value": "91",
"label": "CYQ2",
"children": []
}, {
"name": "TRANSIENT_CYQ3",
"code": "TRANSIENT_CYQ3",
"parent": "TRANSIENT_POP",
"value": "222",
"label": "CYQ3",
"children": []
}, {
"name": "TRANSIENT_CYQ4",
"code": "TRANSIENT_CYQ4",
"parent": "TRANSIENT_POP",
"value": "186",
"label": "CYQ4",
"children": []
}]
}, {
"name": "Seasonal Pop",
"code": "SEASONAL_POP",
"parent": "POP_BY_QUAT",
"label": "Seasonal Pop",
"children": [{
"name": "SEASONAL_LYQ1",
"code": "SEASONAL_LYQ1",
"parent": "SEASONAL_POP",
"value": "2",
"label": "LYQ1",
"children": []
}, {
"name": "SEASONAL_LYQ2",
"code": "SEASONAL_LYQ2",
"parent": "SEASONAL_POP",
"value": "24",
"label": "LYQ2",
"children": []
}, {
"name": "SEASONAL_LYQ3",
"code": "SEASONAL_LYQ3",
"parent": "SEASONAL_POP",
"value": "152",
"label": "LYQ3",
"children": []
}, {
"name": "SEASONAL_LYQ4",
"code": "SEASONAL_LYQ4",
"parent": "SEASONAL_POP",
"value": "55",
"label": "LYQ4",
"children": []
}, {
"name": "SEASONAL_CYQ1",
"code": "SEASONAL_CYQ1",
"parent": "SEASONAL_POP",
"value": "2",
"label": "CYQ1",
"children": []
}, {
"name": "SEASONAL_CYQ2",
"code": "SEASONAL_CYQ2",
"parent": "SEASONAL_POP",
"value": "22",
"label": "CYQ2",
"children": []
}, {
"name": "SEASONAL_CYQ3",
"code": "SEASONAL_CYQ3",
"parent": "SEASONAL_POP",
"value": "161",
"label": "CYQ3",
"children": []
}, {
"name": "SEASONAL_CYQ4",
"code": "SEASONAL_CYQ4",
"parent": "SEASONAL_POP",
"value": "55",
"label": "CYQ4",
"children": []
}]
}];
var width = 460,
height = 300,
cwidth = 25;
var color = d3.scaleOrdinal(d3.schemeCategory20);
var pie = d3.pie()
.sort(null).value(function(d) {
return d.value; //since score is the parameter for the pie
});
var arc = d3.arc();
var svg = d3.select("body").append("svg")
.attr("width", width)
.attr("height", height)
.append("g")
.attr("transform", "translate(" + width / 2 + "," + height / 2 + ")");
var gs = svg.selectAll("g")
.data(dataset)
.enter()
.append("g")
.attr("class", "arc").on("mouseover", function() {
tooltip.style("display", null);
});
var tooltip = d3.select("body").append("div")
.attr("class", "tooltip")
.style("opacity", 0.5);
tooltip.append("rect")
.attr("width", 30)
.attr("height", 20)
.attr("fill", "#ffffff")
.style("opacity", 0.5);
tooltip.append("div")
.attr("x", 15)
.attr("dy", "1.2em")
.style("text-anchor", "middle")
.attr("font-size", "1.5em")
.attr("font-weight", "bold");
var path = gs.selectAll("path")
.data(function(d, i) {
return pie(d.children).map(function(payload) {
return {
payload: payload,
parentIndex: i
}
})
})
.enter().append("path")
.attr("fill", function(d, i) {
return color(i);
})
.attr("d", function(d, i, j) {
return arc.innerRadius(10 + cwidth * d.parentIndex).outerRadius(cwidth * (d.parentIndex + 1))(d.payload);
})
.on("mouseout", function() {
tooltip.style("display", "none");
})
.on("mousemove", function(d, i) {
console.log(d)
tooltip.transition().duration(200)
.style("opacity", 0.9);
tooltip.select("div").html(d.payload.data.name + ":" + " <strong>" + d.payload.data.value + "</strong>")
.style("position", "fixed")
.style("text-align", "center")
.style("width", "120px")
.style("height", "45px")
.style("padding", "2px")
.style("font", "12px sans-serif")
.style("background", "lightsteelblue")
.style("border", "0px")
.style("border-radius", "8px")
.style("left", (d3.event.pageX) + "px")
.style("top", (d3.event.pageY - 28) + "px");
});
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/4.11.0/d3.min.js"></script>
The event handlers were bound to the g tags instead of the path tags :)
try this
I have the following Force layout graph in my D3 code...
// Code goes here
var width = w = 300,
height = h = 300,
link,
node,
svg,
force,
drag,
currentSelected;
function tick() {
link.attr("x1", function(d) {
return d.source.x;
})
.attr("y1", function(d) {
return d.source.y;
})
.attr("x2", function(d) {
return d.target.x;
})
.attr("y2", function(d) {
return d.target.y;
});
node.attr("cx", function(d) {
return d.x;
})
.attr("cy", function(d) {
return d.y;
});
}
var graph = {
"nodes":
[
{
"code": "1130",
"name": "Interior",
"title": "Interior",
"id": 137,
"label": "ATAChild"
},
{
"code": "50",
"name": "Loose Equipment",
"title": "Loose Equipment",
"id": 146,
"label": "ATAChild"
},
{
"code": "2781 ",
"name": "LE FLAP POSITION IND SYSTEM",
"title": "LE FLAP POSITION IND SYSTEM",
"id": 218,
"label": "ATAChild"
},
{
"code": "2830 ",
"name": "FUEL DUMP",
"title": "FUEL DUMP",
"id": 227,
"label": "ATAChild"
},
{
"code": "1130",
"name": "Interior",
"title": "Interior",
"id": 138,
"label": "ATAChild"
},
{
"code": "50",
"name": "Loose Equipment",
"title": "Loose Equipment",
"id": 147,
"label": "ATAChild"
},
{
"code": "2781 ",
"name": "LE FLAP POSITION IND SYSTEM",
"title": "LE FLAP POSITION IND SYSTEM",
"id": 219,
"label": "ATAChild"
},
{
"code": "2830 ",
"name": "FUEL DUMP",
"title": "FUEL DUMP",
"id": 228,
"label": "ATAChild"
},
{
"code": "1130",
"name": "Interior",
"title": "Interior",
"id": 139,
"label": "ATAChild"
},
{
"code": "50",
"name": "Loose Equipment",
"title": "Loose Equipment",
"id": 148,
"label": "ATAChild"
},
{
"code": "2781 ",
"name": "LE FLAP POSITION IND SYSTEM",
"title": "LE FLAP POSITION IND SYSTEM",
"id": 220,
"label": "ATAChild"
},
{
"code": "2830 ",
"name": "FUEL DUMP",
"title": "FUEL DUMP",
"id": 229,
"label": "ATAChild"
}
],
"links":
[
]
}
function render() {
force
.nodes(graph.nodes)
.links(graph.links)
.start();
link = link.data(graph.links)
.enter().append("line")
.attr("class", "link");
node = node.data(graph.nodes)
.enter().append("circle")
.attr("class", "node")
.attr("r", 12)
.call(drag);
}
function init() {
force = d3.layout.force()
.size([width, height])
.charge(-400)
.linkDistance(40)
.on("tick", tick);
svg = d3.select("#graph").append("svg")
.attr("width", width)
.attr("height", height);
drag = force.drag();
link = svg.selectAll(".link");
node = svg.selectAll(".node");
}
window.onload = function(){
init();
render();
}
<div id="graph" class="full"></div>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.11/d3.min.js"></script>
Now I am fairly new to D3 but as you can see my issue is that you cannot see all the nodes. I am not sure what is happening here but I would like to have it zoom out so that even if it is painfully small I can still see all nodes. I have seen some answers related to zooming but I have had no luck getting it to work with the force layout. Im you need to play around I have a plnkr as well.
i want to combine two charts together.
First force directed graph with donut chart. Every node in force directed graph after clik will show context menu by donut chart. I prepared two charts, but I do not know how to combine them.
Code for force directed:
// Graph 2 - context menu donut chart
var dataset = [
{
size: 2,
label: "Item 1"
},
{
size: 1,
label: "Item 2"
},
{
size: 65,
label: "Item 3"
},
{
size: 45,
label: "Item 4"
},
{
size: 50,
label: "Item 5"
}
];
var width = 460,
height = 300,
radius = Math.min(width, height) / 2;
var color = d3.scale.category20();
var pie = d3.layout.pie()
.sort(null)
.value(function(d) { return Object.keys(dataset).length; }); // zde je nutné zadat celkovou populaci - početz prvků v
// Menu
// Arc setting
var arc = d3.svg.arc()
.innerRadius(radius - 100)
.outerRadius(radius - 50);
// Graph space
var svg = d3.select("body").append("svg")
.attr("width", width)
.attr("height", height)
.append("g")
.attr("transform", "translate(" + width / 2 + "," + height / 2 + ")");
// Prepare graph and load data
var g = svg.selectAll(".arc")
.data(pie(dataset))
.enter().append("g")
.attr("class", "arc");
// Add colors
var path = g.append("path")
.attr("d", arc)
.attr("fill", function (d) { return color(d.data.size);})
// Add labels
var asdfd = g.append("text")
.attr("transform", function(d) { return "translate(" + arc.centroid(d) + ")"; })
.attr("dy", ".35em")
.style("text-anchor", "middle")
.text(function(d) { return d.data.label; });
var oldColor;
// Add hover action
path.on("mouseenter", function(d,i) {
console.log("mousein"+ d.data.label)
var thisPath = d3.select(this);
oldColor = thisPath.attr("fill"); // save old color
thisPath
.attr("fill", "blue")
.attr("cursor", "pointer")
.attr("class", "on");
})
path.on("mouseout", function(d) {
d3.select(this)
.attr("fill", oldColor)
.attr("class", "off");
});
<script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.1/jquery.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.11/d3.min.js"></script>
Result of combination should be like on this picture:
Thank you for yor ideas!
EDIT: I maybe solve this, buth there is some small performace problem, can anyone help me how to finish this, graph is lagging, and I have problem with arrow between nodes. Thnaks for help !
var json = {
"nodes": [{
"id": -1146034065,
"name": "/",
"group": 0
}, {
"id": -990073683,
"name": "/blog/",
"group": 0
}, {
"id": -1724280020,
"name": "/menu/",
"group": 0
}, {
"id": 1176095248,
"name": "/napojovy-listek/",
"group": 0
}, {
"id": -2085082741,
"name": "/fotogalerie/",
"group": 0
}, {
"id": 883542796,
"name": "/rezervace/",
"group": 0
}, {
"id": 369131020,
"name": "/kontakt/",
"group": 0
}, {
"id": -1276353015,
"name": "/en/",
"group": 0
}, {
"id": -1557747058,
"name": "/o-nas/",
"group": 404
}, {
"id": 890427810,
"name": "/en/about-us/",
"group": 0
}, {
"id": -978700858,
"name": "/en/menu-2/",
"group": 0
}, {
"id": 1436673749,
"name": "/en/napojovy-listek/",
"group": 0
}, {
"id": -489730654,
"name": "/en/photograph/",
"group": 0
}, {
"id": -1461616187,
"name": "/en/reservation/",
"group": 0
}, {
"id": 1520755615,
"name": "/en/contact/",
"group": 0
}, {
"id": 37644686,
"name": "/en//kontakt/",
"group": 0
}, {
"id": 1131720527,
"name": "/en//o-nas/",
"group": 404
}],
"links": [{
"source": -990073683,
"target": -1146034065,
"value": 1
}, {
"source": -1724280020,
"target": -1146034065,
"value": 1
}, {
"source": 1176095248,
"target": -1146034065,
"value": 1
}, {
"source": -2085082741,
"target": -1146034065,
"value": 1
}, {
"source": 883542796,
"target": -1146034065,
"value": 1
}, {
"source": 369131020,
"target": -1146034065,
"value": 1
}, {
"source": -1276353015,
"target": -1146034065,
"value": 1
}, {
"source": -1557747058,
"target": -1146034065,
"value": 1
}, {
"source": 890427810,
"target": -990073683,
"value": 1
}, {
"source": -978700858,
"target": -1724280020,
"value": 1
}, {
"source": 1436673749,
"target": 1176095248,
"value": 1
}, {
"source": -489730654,
"target": -2085082741,
"value": 1
}, {
"source": -1461616187,
"target": 883542796,
"value": 1
}, {
"source": 1520755615,
"target": 369131020,
"value": 1
}, {
"source": 37644686,
"target": -1276353015,
"value": 1
}, {
"source": 1131720527,
"target": -1276353015,
"value": 1
}, {
"source": -1146034065,
"target": -1146034065,
"count": 1,
"value": 1
}, {
"source": -1146034065,
"target": -990073683,
"count": 1,
"value": 1
}, {
"source": -1146034065,
"target": -1724280020,
"count": 3,
"value": 1
}, {
"source": -1146034065,
"target": 1176095248,
"count": 3,
"value": 1
}, {
"source": -1146034065,
"target": -2085082741,
"count": 3,
"value": 1
}, {
"source": -1146034065,
"target": 883542796,
"count": 3,
"value": 1
}, {
"source": -1146034065,
"target": 369131020,
"count": 3,
"value": 1
}, {
"source": -1146034065,
"target": -1276353015,
"count": 1,
"value": 1
}, {
"source": -1146034065,
"target": -1557747058,
"count": 2,
"value": 1
}, {
"source": -990073683,
"target": -1146034065,
"count": 1,
"value": 1
}, {
"source": -990073683,
"target": -990073683,
"count": 1,
"value": 1
}, {
"source": -990073683,
"target": -1724280020,
"count": 1,
"value": 1
}, {
"source": -990073683,
"target": 1176095248,
"count": 1,
"value": 1
}, {
"source": -990073683,
"target": -2085082741,
"count": 1,
"value": 1
}, {
"source": -990073683,
"target": 883542796,
"count": 1,
"value": 1
}, {
"source": -990073683,
"target": 369131020,
"count": 1,
"value": 1
}, {
"source": -990073683,
"target": 890427810,
"count": 1,
"value": 1
}, {
"source": -1724280020,
"target": -1146034065,
"count": 1,
"value": 1
}, {
"source": -1724280020,
"target": -990073683,
"count": 1,
"value": 1
}, {
"source": -1724280020,
"target": -1724280020,
"count": 1,
"value": 1
}, {
"source": -1724280020,
"target": 1176095248,
"count": 1,
"value": 1
}, {
"source": -1724280020,
"target": -2085082741,
"count": 1,
"value": 1
}, {
"source": -1724280020,
"target": 883542796,
"count": 1,
"value": 1
}, {
"source": -1724280020,
"target": 369131020,
"count": 1,
"value": 1
}, {
"source": -1724280020,
"target": -978700858,
"count": 1,
"value": 1
}, {
"source": 1176095248,
"target": -1146034065,
"count": 1,
"value": 1
}, {
"source": 1176095248,
"target": -990073683,
"count": 1,
"value": 1
}, {
"source": 1176095248,
"target": -1724280020,
"count": 1,
"value": 1
}, {
"source": 1176095248,
"target": 1176095248,
"count": 1,
"value": 1
}, {
"source": 1176095248,
"target": -2085082741,
"count": 1,
"value": 1
}, {
"source": 1176095248,
"target": 883542796,
"count": 1,
"value": 1
}, {
"source": 1176095248,
"target": 369131020,
"count": 1,
"value": 1
}, {
"source": 1176095248,
"target": 1436673749,
"count": 1,
"value": 1
}, {
"source": -2085082741,
"target": -1146034065,
"count": 1,
"value": 1
}, {
"source": -2085082741,
"target": -990073683,
"count": 1,
"value": 1
}, {
"source": -2085082741,
"target": -1724280020,
"count": 1,
"value": 1
}, {
"source": -2085082741,
"target": 1176095248,
"count": 1,
"value": 1
}, {
"source": -2085082741,
"target": -2085082741,
"count": 1,
"value": 1
}, {
"source": -2085082741,
"target": 883542796,
"count": 1,
"value": 1
}, {
"source": -2085082741,
"target": 369131020,
"count": 1,
"value": 1
}, {
"source": -2085082741,
"target": -489730654,
"count": 1,
"value": 1
}, {
"source": 883542796,
"target": -1146034065,
"count": 1,
"value": 1
}, {
"source": 883542796,
"target": -990073683,
"count": 1,
"value": 1
}, {
"source": 883542796,
"target": -1724280020,
"count": 1,
"value": 1
}, {
"source": 883542796,
"target": 1176095248,
"count": 1,
"value": 1
}, {
"source": 883542796,
"target": -2085082741,
"count": 1,
"value": 1
}, {
"source": 883542796,
"target": 883542796,
"count": 1,
"value": 1
}, {
"source": 883542796,
"target": 369131020,
"count": 1,
"value": 1
}, {
"source": 883542796,
"target": -1461616187,
"count": 1,
"value": 1
}, {
"source": 369131020,
"target": -1146034065,
"count": 1,
"value": 1
}, {
"source": 369131020,
"target": -990073683,
"count": 1,
"value": 1
}, {
"source": 369131020,
"target": -1724280020,
"count": 1,
"value": 1
}, {
"source": 369131020,
"target": 1176095248,
"count": 1,
"value": 1
}, {
"source": 369131020,
"target": -2085082741,
"count": 1,
"value": 1
}
]
}
var width = 960,
height = 700
var svg = d3.select("body").append("svg")
.attr("width", width)
.attr("height", height);
// Per-type markers, as they don't inherit styles.
svg.append("defs").selectAll("marker")
.data(["a"])
.enter().append("marker")
.attr("id", function(d) { return d; })
.attr("viewBox", "0 -5 10 10")
.attr("refX", 15)
.attr("refY", -1.5)
.attr("markerWidth", 6)
.attr("markerHeight", 6)
.attr("orient", "auto")
.append("path")
.attr("d", "M0,-5L10,0L0,5");
var edges = [];
var fill = d3.scale.category10();
json.links.forEach(function (e) {
// Get the source and target nodes
var sourceNode = json.nodes.filter(function (n) {
return n.id === e.source;
})[0],
targetNode = json.nodes.filter(function (n) {
return n.id === e.target;
})[0],
count = e.count;
// Add the edge to the array
edges.push({
source: sourceNode,
target: targetNode,
count: count,
type: "a"
});
});
var force = d3.layout.force()
.gravity(0.01)
.distance(500)
.charge(-300)
.linkDistance(300)
.size([width, height])
.nodes(json.nodes)
.links(edges)
.start();
var link = svg.append("g").selectAll("link")
.data(edges)
.enter().append("path")
.attr("class", "link")
//.attr("marker-end", function(d) { return "url(#" + d.targetNode + ")"; })
.style("stroke-width", function (d) {
return Math.sqrt(d.count * 1, 5);
});
// Přidáme k uzlu kontextové menu a zvýrazníme sousedy
var node = svg.selectAll("node")
.data(json.nodes)
.enter().append("g")
.attr("class", "node")
.style("fill", function (d) {
return fill(d.group);
})
.call(force.drag).on("mouseover", fade(.1)).on("mouseout", fade(1))
.on("click", function (d, i) {
svg.selectAll(".node").style("fill", function (d) { return fill(d.group);});
d3.select(".menu").remove();
var thisNode = d3.select(this);
thisNode.attr('r', 25).style("fill", "lightcoral");
var menuDataSet = [{
size: 2,
label: "Item 1"
}, {
size: 1,
label: "Item 2"
}, {
size: 65,
label: "Item 3"
}, {
size: 45,
label: "Item 4"
}, {
size: 50,
label: "Item 5"
}];
// Barvy menu
var color = d3.scale.category20();
var pie = d3.layout.pie()
.sort(null)
.value(function (d) {
return Object.keys(menuDataSet).length;
}); // zde je nutné zadat celkovou populaci - početz prvků v
// Menu
var widthMenu = 180,
heightMenu = 180,
radiusMenu = Math.min(widthMenu, heightMenu) / 2;
// Arc setting
var arc = d3.svg.arc()
.innerRadius(radiusMenu - 70)
.outerRadius(radiusMenu - 25);
// Graph space
var svgMenu = thisNode.append("svg")
.attr("width", widthMenu)
.attr("height", heightMenu)
.attr("class","menu")
.attr("x", -90)
.attr("y", -90)
.append("g")
.attr("transform", "translate(" + widthMenu / 2 + "," + heightMenu / 2 + ")");
// Prepare graph and load data
var g = svgMenu.selectAll(".arc")
.data(pie(menuDataSet))
.enter().append("g")
.attr("class", "arc");
// Add colors
var path = g.append("path")
.attr("d", arc)
.attr("fill", function (d) {
return color(d.data.size);
})
// Add labels
var asdfd = g.append("text")
.attr("transform", function (d) {
return "translate(" + arc.centroid(d) + ")";
})
.attr("dy", ".35em")
.style("text-anchor", "middle")
.text(function (d) {
return d.data.label;
});
// Add hover action
path.on("mouseenter", function (d, i) {
var thisPath = d3.select(this);
thisPath.attr("fill", "blue")
.attr("cursor", "pointer")
.attr("class", "on");
})
path.on("mouseout", function (d) {
d3.select(this)
.attr("fill", function (d) {
return color(d.data.size);
})
.attr("class", "off");
});
});
/*
node.append("image")
.attr("xlink:href", "https://github.com/favicon.ico")
.attr("x", -8)
.attr("y", -8)
.attr("width", 16)
.attr("height", 16);
*/
node.append("circle").attr("r", 10);
node.append("text")
.attr("dx", 12)
.attr("dy", ".35em")
.text(function (d) {
return d.name
});
// přidá popisky k hranám
var labels = svg.selectAll('text')
.data(edges)
.enter().append('text')
.attr("x", function (d) {
return (d.source.y + d.target.y) / 2;
})
.attr("y", function (d) {
return (d.source.x + d.target.x) / 2;
})
.attr("text-anchor", "middle")
.text(function (d) {
return d.count;
});
force.on("tick", function () {
link.attr("d", function linkArc(d) {
var dx = d.target.x - d.source.x,
dy = d.target.y - d.source.y,
dr = Math.sqrt(dx * dx + dy * dy);
return "M" + d.source.x + "," + d.source.y + "A" + dr + "," + dr + " 0 0,1 " + d.target.x + "," + d.target.y;
}
);
node.attr("transform", function (d) {
return "translate(" + d.x + "," + d.y + ")";
});
labels.attr("x", function (d) {
return (d.source.x + d.target.x + 10) / 2;
})
.attr("y", function (d) {
return (d.source.y + d.target.y + 10) / 2;
})
});
function transform(d) {
return "translate(" + d.x + "," + d.y + ")";
}
var linkedByIndex = {};
edges.forEach(function (d) {
linkedByIndex[d.source.index + "," + d.target.index] = 1;
});
function isConnected(a, b) {
return linkedByIndex[a.index + "," + b.index] || linkedByIndex[b.index + "," + a.index] || a.index == b.index;
}
function fade(opacity) {
return function (d) {
// přidá popisky k hranám
var labels = svg.selectAll('text')
.data(edges)
.enter().append('text')
.attr("x", function (o) {
return (o.source.y + o.target.y) / 2;
})
.attr("y", function (o) {
return (o.source.x + o.target.x) / 2;
})
.attr("text-anchor", "middle")
.text(function (o) {
return o.count;
});
node.style("stroke-opacity", function (o) {
thisOpacity = isConnected(d, o) ? 1 : opacity;
this.setAttribute('fill-opacity', thisOpacity);
return thisOpacity;
});
link.style("stroke-opacity", function (o) {
return o.source === d || o.target === d ? 1 : opacity;
});
};
}
body {
font-family:"Helvetica Neue", Helvetica, Arial, sans-serif;
margin: auto;
position: relative;
width: 960px;
}
.link {
fill: none;
stroke: #666;
stroke-width: 1.5px;
stroke-dasharray: 0,4 1;
}
text {
font: 10px sans-serif;
}
form {
position: absolute;
right: 10px;
top: 10px;
}
<script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.1/jquery.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.11/d3.min.js"></script>
I wish to load a JSON data array from within a file to generate a collapsible tree diagram per the Mike Bostock example here. The example uses a correctly formatted external JSON file and loads it using the d3.json function.
I wish to be able to load a json array from within the file, which is the result of the generation of a multi-level array from a flay array (per the example question here).
A sample file I have stood up on bl.ocks.org / GitHub shows both parts of what I am trying to achieve without the crucial part of taking the multi-level JSON data and joining it to the collapsible tree diagram
In short. I declare the following data inside the file;
var data = [
{ "name" : "ABC", "parent":"DEF", "relation": "ghi", "depth": 1 },
{ "name" : "DEF", "parent":"null", "relation": "null", "depth": 0 },
{ "name" : "new_name", "parent":"ABC", "relation": "rel", "depth": 2 },
{ "name" : "new_name2", "parent":"ABC", "relation": "foo", "depth": 2 },
{ "name" : "Foo", "parent":"DEF", "relation": "rel", "depth": 2 }
];
Which is then run through this portion of code...
var dataMap = data.reduce(function(map, node) {
map[node.name] = node;
return map;
}, {});
// create the tree array
var treeData = [];
data.forEach(function(node) {
// add to parent
var parent = dataMap[node.parent];
if (parent) {
// create child array if it doesn't exist
(parent.children || (parent.children = []))
// add node to child array
.push(node);
} else {
// parent is null or missing
treeData.push(node);
}
});
Which converts the array into multi-level json as follows (it is also pushed to the screen for reference);
[
{
"name": "DEF",
"parent": "null",
"relation": "null",
"depth": 0,
"children": [
{
"name": "ABC",
"parent": "DEF",
"relation": "ghi",
"depth": 1,
"children": [
{
"name": "new_name",
"parent": "ABC",
"relation": "rel",
"depth": 2
},
{
"name": "new_name2",
"parent": "ABC",
"relation": "foo",
"depth": 2
}
]
},
{
"name": "Foo",
"parent": "DEF",
"relation": "rel",
"depth": 2
}
]
}
]
But then I have to load the same data from an external file in order to get it into the collapsible tree diagram. The code that does this is as follows;
d3.json("example.json", function(error, DEF) {
root = DEF;
root.x0 = height / 2;
root.y0 = 0;
function collapse(d) {
if (d.children) {
d._children = d.children;
d._children.forEach(collapse);
d.children = null;
}
}
root.children.forEach(collapse);
update(root);
});
With the diagram looking like this...
I'm pretty sure I've just had some sort of mental block that is doing my head in and that this is a simple answer, but it has defeated me for a few hours now.
How do I pass the correctly formatted JSON data from the formatting portion of the code to the diagram part?
Thanks for your help.
EDIT: I've added a JSFiddle with the suggested edits from Jesus here (http://jsfiddle.net/LGvha/).
You are very close, all you need to do is set the treeData you created as the root of the tree. So instead of loading the JSON data, you would do:
// replace this line
// d3.json("/d/4063550/flare.json", function(error, flare) {
root = treeData[0];
root.x0 = height / 2;
root.y0 = 0;
function collapse(d) {
if (d.children) {
d._children = d.children;
d._children.forEach(collapse);
d.children = null;
}
}
root.children.forEach(collapse);
update(root);
//remove this line
// });
Thanks for the tips/pointers ... I am a total noob in JS and I fail to understand why full code examples are given rather than snippets. In the python community such answers would usually be punished severely.
I do have a full example - I hope this allows someone else to avoid the 2 hours of frustration I have just sloughed my way through.
<!DOCTYPE html>
<meta charset="utf-8">
<style>
.node {
cursor: pointer;
}
.node circle {
fill: #fff;
stroke: steelblue;
stroke-width: 1.5px;
}
.node text {
font: 10px sans-serif;
}
.link {
fill: none;
stroke: #ccc;
stroke-width: 1.5px;
}
</style>
<body>
<script src="//d3js.org/d3.v3.min.js"></script>
<script>
var margin = {top: 20, right: 120, bottom: 20, left: 120},
width = 960 - margin.right - margin.left,
height = 800 - margin.top - margin.bottom;
var i = 0,
duration = 750,
root;
var tree = d3.layout.tree()
.size([height, width]);
var diagonal = d3.svg.diagonal()
.projection(function(d) { return [d.y, d.x]; });
var svg = d3.select("body").append("svg")
.attr("width", width + margin.right + margin.left)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
//MyData
var flareStr='{"name": "flare", "children": [{"name": "analytics", "children": [{"name": "cluster", "children": [{"name": "AgglomerativeCluster", "size": 3938}, {"name": "CommunityStructure", "size": 3812}, {"name": "HierarchicalCluster", "size": 6714}, {"name": "MergeEdge", "size": 743}]}, {"name": "graph", "children": [{"name": "BetweennessCentrality", "size": 3534}, {"name": "LinkDistance", "size": 5731}, {"name": "MaxFlowMinCut", "size": 7840}, {"name": "ShortestPaths", "size": 5914}, {"name": "SpanningTree", "size": 3416}]}, {"name": "optimization", "children": [{"name": "AspectRatioBanker", "size": 7074}]}]}, {"name": "animate", "children": [{"name": "Easing", "size": 17010}, {"name": "FunctionSequence", "size": 5842}, {"name": "interpolate", "children": [{"name": "ArrayInterpolator", "size": 1983}, {"name": "ColorInterpolator", "size": 2047}, {"name": "DateInterpolator", "size": 1375}, {"name": "Interpolator", "size": 8746}, {"name": "MatrixInterpolator", "size": 2202}, {"name": "NumberInterpolator", "size": 1382}, {"name": "ObjectInterpolator", "size": 1629}, {"name": "PointInterpolator", "size": 1675}, {"name": "RectangleInterpolator", "size": 2042}]}, {"name": "ISchedulable", "size": 1041}, {"name": "Parallel", "size": 5176}, {"name": "Pause", "size": 449}, {"name": "Scheduler", "size": 5593}, {"name": "Sequence", "size": 5534}, {"name": "Transition", "size": 9201}, {"name": "Transitioner", "size": 19975}, {"name": "TransitionEvent", "size": 1116}, {"name": "Tween", "size": 6006}]}, {"name": "data", "children": [{"name": "converters", "children": [{"name": "Converters", "size": 721}, {"name": "DelimitedTextConverter", "size": 4294}, {"name": "GraphMLConverter", "size": 9800}, {"name": "IDataConverter", "size": 1314}, {"name": "JSONConverter", "size": 2220}]}, {"name": "DataField", "size": 1759}, {"name": "DataSchema", "size": 2165}, {"name": "DataSet", "size": 586}, {"name": "DataSource", "size": 3331}, {"name": "DataTable", "size": 772}, {"name": "DataUtil", "size": 3322}]}, {"name": "display", "children": [{"name": "DirtySprite", "size": 8833}, {"name": "LineSprite", "size": 1732}, {"name": "RectSprite", "size": 3623}, {"name": "TextSprite", "size": 10066}]}, {"name": "flex", "children": [{"name": "FlareVis", "size": 4116}]}, {"name": "physics", "children": [{"name": "DragForce", "size": 1082}, {"name": "GravityForce", "size": 1336}, {"name": "IForce", "size": 319}, {"name": "NBodyForce", "size": 10498}, {"name": "Particle", "size": 2822}, {"name": "Simulation", "size": 9983}, {"name": "Spring", "size": 2213}, {"name": "SpringForce", "size": 1681}]}, {"name": "query", "children": [{"name": "AggregateExpression", "size": 1616}, {"name": "And", "size": 1027}, {"name": "Arithmetic", "size": 3891}, {"name": "Average", "size": 891}, {"name": "BinaryExpression", "size": 2893}, {"name": "Comparison", "size": 5103}, {"name": "CompositeExpression", "size": 3677}, {"name": "Count", "size": 781}, {"name": "DateUtil", "size": 4141}, {"name": "Distinct", "size": 933}, {"name": "Expression", "size": 5130}, {"name": "ExpressionIterator", "size": 3617}, {"name": "Fn", "size": 3240}, {"name": "If", "size": 2732}, {"name": "IsA", "size": 2039}, {"name": "Literal", "size": 1214}, {"name": "Match", "size": 3748}, {"name": "Maximum", "size": 843}, {"name": "methods", "children": [{"name": "add", "size": 593}, {"name": "and", "size": 330}, {"name": "average", "size": 287}, {"name": "count", "size": 277}, {"name": "distinct", "size": 292}, {"name": "div", "size": 595}, {"name": "eq", "size": 594}, {"name": "fn", "size": 460}, {"name": "gt", "size": 603}, {"name": "gte", "size": 625}, {"name": "iff", "size": 748}, {"name": "isa", "size": 461}, {"name": "lt", "size": 597}, {"name": "lte", "size": 619}, {"name": "max", "size": 283}, {"name": "min", "size": 283}, {"name": "mod", "size": 591}, {"name": "mul", "size": 603}, {"name": "neq", "size": 599}, {"name": "not", "size": 386}, {"name": "or", "size": 323}, {"name": "orderby", "size": 307}, {"name": "range", "size": 772}, {"name": "select", "size": 296}, {"name": "stddev", "size": 363}, {"name": "sub", "size": 600}, {"name": "sum", "size": 280}, {"name": "update", "size": 307}, {"name": "variance", "size": 335}, {"name": "where", "size": 299}, {"name": "xor", "size": 354}, {"name": "_", "size": 264}]}, {"name": "Minimum", "size": 843}, {"name": "Not", "size": 1554}, {"name": "Or", "size": 970}, {"name": "Query", "size": 13896}, {"name": "Range", "size": 1594}, {"name": "StringUtil", "size": 4130}, {"name": "Sum", "size": 791}, {"name": "Variable", "size": 1124}, {"name": "Variance", "size": 1876}, {"name": "Xor", "size": 1101}]}, {"name": "scale", "children": [{"name": "IScaleMap", "size": 2105}, {"name": "LinearScale", "size": 1316}, {"name": "LogScale", "size": 3151}, {"name": "OrdinalScale", "size": 3770}, {"name": "QuantileScale", "size": 2435}, {"name": "QuantitativeScale", "size": 4839}, {"name": "RootScale", "size": 1756}, {"name": "Scale", "size": 4268}, {"name": "ScaleType", "size": 1821}, {"name": "TimeScale", "size": 5833}]}, {"name": "util", "children": [{"name": "Arrays", "size": 8258}, {"name": "Colors", "size": 10001}, {"name": "Dates", "size": 8217}, {"name": "Displays", "size": 12555}, {"name": "Filter", "size": 2324}, {"name": "Geometry", "size": 10993}, {"name": "heap", "children": [{"name": "FibonacciHeap", "size": 9354}, {"name": "HeapNode", "size": 1233}]}, {"name": "IEvaluable", "size": 335}, {"name": "IPredicate", "size": 383}, {"name": "IValueProxy", "size": 874}, {"name": "math", "children": [{"name": "DenseMatrix", "size": 3165}, {"name": "IMatrix", "size": 2815}, {"name": "SparseMatrix", "size": 3366}]}, {"name": "Maths", "size": 17705}, {"name": "Orientation", "size": 1486}, {"name": "palette", "children": [{"name": "ColorPalette", "size": 6367}, {"name": "Palette", "size": 1229}, {"name": "ShapePalette", "size": 2059}, {"name": "SizePalette", "size": 2291}]}, {"name": "Property", "size": 5559}, {"name": "Shapes", "size": 19118}, {"name": "Sort", "size": 6887}, {"name": "Stats", "size": 6557}, {"name": "Strings", "size": 22026}]}, {"name": "vis", "children": [{"name": "axis", "children": [{"name": "Axes", "size": 1302}, {"name": "Axis", "size": 24593}, {"name": "AxisGridLine", "size": 652}, {"name": "AxisLabel", "size": 636}, {"name": "CartesianAxes", "size": 6703}]}, {"name": "controls", "children": [{"name": "AnchorControl", "size": 2138}, {"name": "ClickControl", "size": 3824}, {"name": "Control", "size": 1353}, {"name": "ControlList", "size": 4665}, {"name": "DragControl", "size": 2649}, {"name": "ExpandControl", "size": 2832}, {"name": "HoverControl", "size": 4896}, {"name": "IControl", "size": 763}, {"name": "PanZoomControl", "size": 5222}, {"name": "SelectionControl", "size": 7862}, {"name": "TooltipControl", "size": 8435}]}, {"name": "data", "children": [{"name": "Data", "size": 20544}, {"name": "DataList", "size": 19788}, {"name": "DataSprite", "size": 10349}, {"name": "EdgeSprite", "size": 3301}, {"name": "NodeSprite", "size": 19382}, {"name": "render", "children": [{"name": "ArrowType", "size": 698}, {"name": "EdgeRenderer", "size": 5569}, {"name": "IRenderer", "size": 353}, {"name": "ShapeRenderer", "size": 2247}]}, {"name": "ScaleBinding", "size": 11275}, {"name": "Tree", "size": 7147}, {"name": "TreeBuilder", "size": 9930}]}, {"name": "events", "children": [{"name": "DataEvent", "size": 2313}, {"name": "SelectionEvent", "size": 1880}, {"name": "TooltipEvent", "size": 1701}, {"name": "VisualizationEvent", "size": 1117}]}, {"name": "legend", "children": [{"name": "Legend", "size": 20859}, {"name": "LegendItem", "size": 4614}, {"name": "LegendRange", "size": 10530}]}, {"name": "operator", "children": [{"name": "distortion", "children": [{"name": "BifocalDistortion", "size": 4461}, {"name": "Distortion", "size": 6314}, {"name": "FisheyeDistortion", "size": 3444}]}, {"name": "encoder", "children": [{"name": "ColorEncoder", "size": 3179}, {"name": "Encoder", "size": 4060}, {"name": "PropertyEncoder", "size": 4138}, {"name": "ShapeEncoder", "size": 1690}, {"name": "SizeEncoder", "size": 1830}]}, {"name": "filter", "children": [{"name": "FisheyeTreeFilter", "size": 5219}, {"name": "GraphDistanceFilter", "size": 3165}, {"name": "VisibilityFilter", "size": 3509}]}, {"name": "IOperator", "size": 1286}, {"name": "label", "children": [{"name": "Labeler", "size": 9956}, {"name": "RadialLabeler", "size": 3899}, {"name": "StackedAreaLabeler", "size": 3202}]}, {"name": "layout", "children": [{"name": "AxisLayout", "size": 6725}, {"name": "BundledEdgeRouter", "size": 3727}, {"name": "CircleLayout", "size": 9317}, {"name": "CirclePackingLayout", "size": 12003}, {"name": "DendrogramLayout", "size": 4853}, {"name": "ForceDirectedLayout", "size": 8411}, {"name": "IcicleTreeLayout", "size": 4864}, {"name": "IndentedTreeLayout", "size": 3174}, {"name": "Layout", "size": 7881}, {"name": "NodeLinkTreeLayout", "size": 12870}, {"name": "PieLayout", "size": 2728}, {"name": "RadialTreeLayout", "size": 12348}, {"name": "RandomLayout", "size": 870}, {"name": "StackedAreaLayout", "size": 9121}, {"name": "TreeMapLayout", "size": 9191}]}, {"name": "Operator", "size": 2490}, {"name": "OperatorList", "size": 5248}, {"name": "OperatorSequence", "size": 4190}, {"name": "OperatorSwitch", "size": 2581}, {"name": "SortOperator", "size": 2023}]}, {"name": "Visualization", "size": 16540}]}]}';
console.log(flareStr)
flare=JSON.parse(flareStr);
console.log(flare);
root = flare;
root.x0 = height / 2;
root.y0 = 0;
function parse_data(flare)
{
console.log("in Parse_data")
root = flare;
root.x0 = height / 2;
root.y0 = 0;
function collapse(d) {
console.log("in collapse")
if (d.children) {
d._children = d.children;
d._children.forEach(collapse);
d.children = null;
}
}
root.children.forEach(collapse);
update(root);
}
parse_data(flare);
d3.select(self.frameElement).style("height", "800px");
function update(source) {
// Compute the new tree layout.
var nodes = tree.nodes(root).reverse(),
links = tree.links(nodes);
// Normalize for fixed-depth.
nodes.forEach(function(d) { d.y = d.depth * 180; });
// Update the nodes…
var node = svg.selectAll("g.node")
.data(nodes, function(d) { return d.id || (d.id = ++i); });
// Enter any new nodes at the parent's previous position.
var nodeEnter = node.enter().append("g")
.attr("class", "node")
.attr("transform", function(d) { return "translate(" + source.y0 + "," + source.x0 + ")"; })
.on("click", click);
nodeEnter.append("circle")
.attr("r", 1e-6)
.style("fill", function(d) { return d._children ? "lightsteelblue" : "#fff"; });
nodeEnter.append("text")
.attr("x", function(d) { return d.children || d._children ? -10 : 10; })
.attr("dy", ".35em")
.attr("text-anchor", function(d) { return d.children || d._children ? "end" : "start"; })
.text(function(d) { return d.name; })
.style("fill-opacity", 1e-6);
// Transition nodes to their new position.
var nodeUpdate = node.transition()
.duration(duration)
.attr("transform", function(d) { return "translate(" + d.y + "," + d.x + ")"; });
nodeUpdate.select("circle")
.attr("r", 4.5)
.style("fill", function(d) { return d._children ? "lightsteelblue" : "#fff"; });
nodeUpdate.select("text")
.style("fill-opacity", 1);
// Transition exiting nodes to the parent's new position.
var nodeExit = node.exit().transition()
.duration(duration)
.attr("transform", function(d) { return "translate(" + source.y + "," + source.x + ")"; })
.remove();
nodeExit.select("circle")
.attr("r", 1e-6);
nodeExit.select("text")
.style("fill-opacity", 1e-6);
// Update the links…
var link = svg.selectAll("path.link")
.data(links, function(d) { return d.target.id; });
// Enter any new links at the parent's previous position.
link.enter().insert("path", "g")
.attr("class", "link")
.attr("d", function(d) {
var o = {x: source.x0, y: source.y0};
return diagonal({source: o, target: o});
});
// Transition links to their new position.
link.transition()
.duration(duration)
.attr("d", diagonal);
// Transition exiting nodes to the parent's new position.
link.exit().transition()
.duration(duration)
.attr("d", function(d) {
var o = {x: source.x, y: source.y};
return diagonal({source: o, target: o});
})
.remove();
// Stash the old positions for transition.
nodes.forEach(function(d) {
d.x0 = d.x;
d.y0 = d.y;
});
}
// Toggle children on click.
function click(d) {
if (d.children) {
d._children = d.children;
d.children = null;
} else {
d.children = d._children;
d._children = null;
}
update(d);
}
</script>
I entered the data as a JSON string - To generate this I used Python
import json
with open("flare.json","r") as ifp:
jd=json.load(ifp)
#JD is a python type of dictionary now
type(jd)
#I would like a JSON_STRING However
jstr=json.dumps(jd)
I then extracted the jstr data and put it in a var, which is the line starting var flareStr='{"name": "flare", "children": [{"name":
The console.log(flareStr) allows me to see what is going on into the web-page - go to your web-browser (firefox is my choice) and look at source...
Next I parse the string to make it a proper JSON object...
flare=JSON.parse(flareStr);
And as I am not using the d3.json method, I created my own function (note: I have no idea if a variable is local or global in js... so you may need to clear this up).
The method to parse the data was taken from the original code -
function parse_data(flare)
{
console.log("in Parse_data")
root = flare;
root.x0 = height / 2;
root.y0 = 0;
function collapse(d) {
console.log("in collapse")
if (d.children) {
d._children = d.children;
d._children.forEach(collapse);
d.children = null;
}
}
root.children.forEach(collapse);
update(root);
}
which is then simply called via
parse_data(flare);
I hope this assists someone else.