I am new to D3.js and I am drawing a bullet chart for a website I am working on. I took the code from here as a starting point:
http://bl.ocks.org/jugglinmike/6004102
I have a chart drawn, and for a basic case, I do not need to worry about switching the data shown. I really need to, however, have the entire chart and all of its elements scale with the window resize.
Right now, I have two files, bullet.js and draw_bullet.js. This is the code for draw_bullet.js:
var margin = {top: 5, right: 40, bottom: 20, left: 120},
width = ($(window).width() * .3) - margin.left - margin.right,
height = 50 - margin.top - margin.bottom;
var chart = d3.bullet()
.width(width)
.height(height);
function fillChart() {
d3.json("/static/response.json", function(error, data) {
var svg = d3.select("#zone1").selectAll("svg")
.data(data)
.enter().append("svg")
.attr("class", "bullet")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")")
.call(chart1);
var title = svg.append("g")
.style("text-anchor", "end")
.attr("transform", "translate(-6," + height / 2 + ")");
title.append("text")
.attr("class", "title")
.text(function(d) { return d.title; });
title.append("text")
.attr("class", "subtitle")
.attr("dy", "1em")
.text(function(d) { return d.subtitle; });
});
}
And my code for bullet.js:
d3.bullet = function() {
var orient = "left", // TODO top & bottom
reverse = false,
duration = 0,
ranges = bulletRanges,
measures = bulletMeasures,
width = parseInt(d3.select("#zone1").style("width"), 10),
height = 30,
tickFormat = null;
// For each small multiple…
function bullet(g) {
g.each(function(d, i) {
var rangez = ranges.call(this, d, i).slice().sort(d3.descending),
measurez = measures.call(this, d, i).slice().sort(d3.descending),
g = d3.select(this);
// Compute the new x-scale.
var x1 = d3.scale.linear()
.domain([0, Math.max(rangez[0], measurez[0])])
.range(reverse ? [width, 0] : [0, width]);
// Retrieve the old x-scale, if this is an update.
var x0 = this.__chart__ || d3.scale.linear()
.domain([0, Infinity])
.range(x1.range());
// Stash the new scale.
this.__chart__ = x1;
// Derive width-scales from the x-scales.
var w0 = bulletWidth(x0),
w1 = bulletWidth(x1);
// Update the range rects.
var range = g.selectAll("rect.range")
.data(rangez);
range.enter().append("rect")
.attr("class", function(d, i) { return "range s" + i; })
.attr("width", w0)
.attr("height", height)
.attr("x", reverse ? x0 : 0)
.transition()
.duration(duration)
.attr("width", w1)
.attr("x", reverse ? x1 : 0);
range.transition()
.duration(duration)
.attr("x", reverse ? x1 : 0)
.attr("width", w1)
.attr("height", height);
// Update the measure rects.
var measure = g.selectAll("rect.measure")
.data(measurez);
measure.enter().append("rect")
.attr("class", function(d, i) { return "measure s" + i; })
.attr("width", w0)
.attr("height", height / 3)
.attr("x", reverse ? x0 : 0)
.attr("y", height / 3)
.transition()
.duration(duration)
.attr("width", w1)
.attr("x", reverse ? x1 : 0);
measure.transition()
.duration(duration)
.attr("width", w1)
.attr("height", height / 3)
.attr("x", reverse ? x1 : 0)
.attr("y", height / 3);
// Compute the tick format.
var format = tickFormat || x1.tickFormat(8);
// Update the tick groups.
var tick = g.selectAll("g.tick")
.data(x1.ticks(8), function(d) {
return this.textContent || format(d);
});
// Initialize the ticks with the old scale, x0.
var tickEnter = tick.enter().append("g")
.attr("class", "tick")
.attr("transform", bulletTranslate(x0))
.style("opacity", 1e-6);
tickEnter.append("line")
.attr("y1", height)
.attr("y2", height * 7 / 6);
tickEnter.append("text")
.attr("text-anchor", "middle")
.attr("dy", "1em")
.attr("y", height * 7 / 6)
.text(format);
// Transition the entering ticks to the new scale, x1.
tickEnter.transition()
.duration(duration)
.attr("transform", bulletTranslate(x1))
.style("opacity", 1);
// Transition the updating ticks to the new scale, x1.
var tickUpdate = tick.transition()
.duration(duration)
.attr("transform", bulletTranslate(x1))
.style("opacity", 1);
tickUpdate.select("line")
.attr("y1", height)
.attr("y2", height * 7 / 6);
tickUpdate.select("text")
.attr("y", height * 7 / 6);
// Transition the exiting ticks to the new scale, x1.
tick.exit().transition()
.duration(duration)
.attr("transform", bulletTranslate(x1))
.style("opacity", 1e-6)
.remove();
});
d3.timer.flush();
}
// left, right, top, bottom
bullet.orient = function(x) {
if (!arguments.length) return orient;
orient = x;
reverse = orient == "right" || orient == "bottom";
return bullet;
};
// ranges (bad, satisfactory, good)
bullet.ranges = function(x) {
if (!arguments.length) return ranges;
ranges = x;
return bullet;
};
// measures (actual, forecast)
bullet.measures = function(x) {
if (!arguments.length) return measures;
measures = x;
return bullet;
};
bullet.width = function(x) {
if (!arguments.length) return width;
width = x;
return bullet;
};
bullet.height = function(x) {
if (!arguments.length) return height;
height = x;
return bullet;
};
bullet.tickFormat = function(x) {
if (!arguments.length) return tickFormat;
tickFormat = x;
return bullet;
};
bullet.duration = function(x) {
if (!arguments.length) return duration;
duration = x;
return bullet;
};
return bullet;
};
function bulletRanges(d) {
return d.ranges;
}
function bulletMeasures(d) {
return d.measures;
}
function bulletTranslate(x) {
return function(d) {
return "translate(" + x(d) + ",0)";
};
}
function bulletWidth(x) {
var x0 = x(0);
return function(d) {
return Math.abs(x(d) - x0);
};
}
})();
I am using jQuery and I know I have to embed a function in $(window).resize(), however I have tried many different things and none of them seem to adjust correctly. I try to set chart.width() to my new value in the function, and later when I call the width of the chart, it shows it as being my new value, but doesn't adjust its view on the screen. Is it necessary to redraw the entire chart and all its elements to resize? And then, also, when I tried to rescale the range for the chart, I found it very difficult to do so because the range variable is embedded in the anonymous function inside of bullet.js. Any help you can provide in pointing me in the right direction would be awesome. I tried using this tutorial, but it didn't seem to apply to my situation too much because they are different types of charts.
http://eyeseast.github.io/visible-data/2013/08/28/responsive-charts-with-d3/
Thanks!
Related
I am trying to get Zoom to work, I am new to D3 and I find it very abstract and not intuitive. I recently finished a beginners course in JavaScript but D3 feels like a completely new language.
I found this topic which might help a bit.
D3 Zooming in graph
I also found the following code that created the graph on the web, the simplest I could find and I don't understand all of it. Now I wanna zoom in and used code that I also found on the web but which has to be adapted. I understood that much that the zoom variable at the top is calling a function called NeuerChart which has the actual zooming behaviour in it. It needs to zoom the graph and the axes when I spin the mousewheel.
In the end I need to implement this into a real problem, thanks. Using D3.v5.
<script>
let zoom = d3.zoom()
.scaleExtent([0.5, 10])
.extent([[0, 0], [width, height]])
.on('zoom', NeuerChart);
// Step 1
let min = 0;
let max = 100;
let x_arr = [];
let y_arr = [];
let s_arr = [];
let z_arr = [];
for (let i = 0; i < 360; i++) {
var r = Math.round(Math.random() * (max - min)) + min;
x_arr[i]= i;
y_arr[i]= r;
z_arr.push([x_arr[i],y_arr[i]]);
}
s_arr = y_arr.sort(function(a, b){return a - b});
let neu_arr = [];
let zz_arr = [];
for (let i = 0; i < 360; i++) {
neu_arr[i]= i;
zz_arr.push([neu_arr[i], s_arr[i]]);
}
console.log(z_arr);
console.log(zz_arr);
var dataset1 = zz_arr;
// Step 3
var svg = d3.select("svg"),
margin = 200,
width = svg.attr("width") - margin, //1700
height = svg.attr("height") - margin //700
// Step 4
var xScale = d3.scaleLinear().domain([0 , 365]).range([0, width]),
yScale = d3.scaleLinear().domain([0, 105]).range([height, 0]);
var g = svg.append("g")
.attr("transform", "translate(" + 100 + "," + 100 + ")");
// Step 5
// Title
svg.append('text')
.attr('x', width/2 + 100)
.attr('y', 100)
.attr('text-anchor', 'middle')
.style('font-family', 'Helvetica')
.style('font-size', 20)
.text('Line Chart');
// X label
svg.append('text')
.attr('x', width/2 + 100)
.attr('y', height - 15 + 150)
.attr('text-anchor', 'middle')
.style('font-family', 'Helvetica')
.style('font-size', 12)
.text('Zeitachse');
// Y label
svg.append('text')
.attr('text-anchor', 'middle')
.attr('transform', 'translate(60,' + 500 + ')rotate(-90)')
.style('font-family', 'Helvetica')
.style('font-size', 12)
.text('Wert');
// Step 6
g.append("g")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(xScale).ticks(7).tickValues([0, 60, 120, 180, 240, 300, 360]));
g.append("g")
.call(d3.axisLeft(yScale));
// Step 7
svg.append('g')
.selectAll("dot")
.data(dataset1)
.enter()
.append("circle")
.attr("cx", function (d) { return xScale(d[0]); } )
.attr("cy", function (d) { return yScale(d[1]); } )
.attr("r", 3)
.attr("transform", "translate(" + 100 + "," + 100 + ")")
.style("fill", "#CC0000");
// Step 8
var line = d3.line()
.x(function(d) { return xScale(d[0]); })
.y(function(d) { return yScale(d[1]); })
.curve(d3.curveMonotoneX)
svg.append("path")
.datum(dataset1)
.attr("class", "line")
.attr("transform", "translate(" + 100 + "," + 100 + ")")
.attr("d", line)
.style("fill", "none")
.style("stroke", "#CC0000")
.style("stroke-width", "2")
svg.append("rect")
.attr("width", width)
.attr("height", height)
.style("fill", "none")
.style("pointer-events", "all")
.attr("transform", "translate(" + 100 + "," + 100 + ")")
.call(zoom);
function NeuerChart () {
// recover the new scale
var newX = d3.event.transform.rescaleX(xScale);
var newY = d3.event.transform.rescaleY(yScale);
// update axes with these new boundaries
xAxis.call(d3.axisBottom(newX))
yAxis.call(d3.axisLeft(newY))
}
</script>
I added the code here in Codepen:
https://codepen.io/Dvdscot/pen/zYjpzVP
This is how it should work:
https://codepen.io/Dvdscot/pen/BaxJdKN
Problem is solved, see the code at Codepen:
`
Reset zoom
`https://codepen.io/Dvdscot/pen/zYjpzVP
I try to do a beeswarm plot with different radius; inspired by this code
The issue I have, is that my point are offset regarding my x axis:
The point on the left should be at 31.7%. I don't understand why, so I would appreciate if you could guide me. This could be improved by changing the domain of x scale, but this can't match the exact value; same issue if I remove the d3.forceCollide()
Thank you,
Data are available here.
Here is my code:
$(document).ready(function () {
function tp(d) {
return d.properties.tp60;
}
function pop_mun(d) {
return d.properties.pop_mun;
}
var margin = {top: 20, right: 20, bottom: 20, left: 40},
width = 1280 - margin.right - margin.left,
height = 300 - margin.top - margin.bottom;
var svg = d3.select("body")
.append("svg")
.attr("viewBox", `0 0 ${width} ${height}`)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var z = d3.scaleThreshold()
.domain([.2, .3, .4, .5, .6, .7])
.range(["#35ff00", "#f1a340", "#fee0b6",
"#ff0000", "#998ec3", "#542788"]);
var loading = svg.append("text")
.attr("x", (width) / 2)
.attr("y", (height) / 2)
// .attr("dy", ".35em")
.style("text-anchor", "middle")
.text("Simulating. One moment please…");
var formatPercent = d3.format(".0%"),
formatNumber = d3.format(".0f");
d3.json('static/data/qp_full.json').then(function (data) {
features = data.features
//1 create scales
var x = d3.scaleLinear()
.domain([0, d3.max(features, tp)/100])
.range([0, width - margin.right])
var y = d3.scaleLinear().domain([0, 0.1]).range([margin.left, width - margin.right])
var r = d3.scaleSqrt().domain([0, d3.max(features, pop_mun)])
.range([0, 25]);
//2 create axis
var xAxis = d3.axisBottom(x).ticks(20)
.tickFormat(formatPercent);
svg.append("g")
.attr("class", "x axis")
.call(xAxis);
var nodes = features.map(function (node, index) {
return {
radius: r(node.properties.pop_mun),
color: '#ff7f0e',
x: x(node.properties.tp60 / 100),
y: height + Math.random(),
pop_mun: node.properties.pop_mun,
tp60: node.properties.tp60
};
});
function tick() {
for (i = 0; i < nodes.length; i++) {
var node = nodes[i];
node.cx = node.x;
node.cy = node.y;
}
}
setTimeout(renderGraph, 10);
function renderGraph() {
// Run the layout a fixed number of times.
// The ideal number of times scales with graph complexity.
// Of course, don't run too long—you'll hang the page!
const NUM_ITERATIONS = 1000;
var force = d3.forceSimulation(nodes)
.force('charge', d3.forceManyBody().strength(-3))
.force('center', d3.forceCenter(width / 2, height/2))
.force('x', d3.forceX(d => d.x))
.force('y', d3.forceY(d => d.y))
.force('collide', d3.forceCollide().radius(d => d.radius))
.on("tick", tick)
.stop();
force.tick(NUM_ITERATIONS);
force.stop();
svg.selectAll("circle")
.data(nodes)
.enter()
.append("circle")
.attr("cx", d => d.x)
.attr("cy", d => d.y)
.attr("r", d => d.radius)
.style("fill", d => z(d.tp60/100))
.on("mouseover", function (d, i) {
d3.select(this).style('fill', "orange")
console.log(i.tp60,i)
svg.append("text")
.attr("id", "t")
.attr("x", function () {
return d.x - 50;
})
.attr("y", function () {
return d.y - 50;
})
.text(function () {
return [x.invert(i.x), i.tp60]; // Value of the text
})
})
.on("mouseout", function (d, i) {
d3.select("#t").remove(); // Remove text location
console.log(i)
d3.select(this).style('fill', z(i.tp60/100));
});
loading.remove();
}
})
})
I want to create a visual whereby a swarm contains one big circle and a bunch of satellite circles clinging around it. For a simple demonstration, I have prepared a small version of the data set; each item in the array should have one big circle and then however many smaller circles clinging to it:
var data = [
{'wfoe':'wfoe1','products':d3.range(20)},
{'wfoe':'wfoe2','products':d3.range(40)},
{'wfoe':'wfoe3','products':d3.range(10)}
];
Here is a snippet of my progress:
var margins = {
top: 100,
bottom: 300,
left: 100,
right: 100
};
var height = 250;
var width = 900;
var totalWidth = width + margins.left + margins.right;
var totalHeight = height + margins.top + margins.bottom;
var svg = d3.select('body')
.append('svg')
.attr('width', totalWidth)
.attr('height', totalHeight);
var graphGroup = svg.append('g')
.attr('transform', "translate(" + margins.left + "," + margins.top + ")");
var data = [
{'wfoe':'wfoe1','products':d3.range(20)},
{'wfoe':'wfoe2','products':d3.range(40)},
{'wfoe':'wfoe3','products':d3.range(10)}
];
var columns = 4;
var spacing = 250;
var vSpacing = 250;
var fmcG = graphGroup.selectAll('.fmc')
.data(data)
.enter()
.append('g')
.attr('class', 'fmc')
.attr('id', (d, i) => 'fmc' + i)
.attr('transform', (d, k) => {
var horSpace = (k % columns) * spacing;
var vertSpace = ~~((k / columns)) * vSpacing;
return "translate(" + horSpace + "," + vertSpace + ")";
});
var xScale = d3.scalePoint()
.range([0, width])
.domain([0, 100]);
var rScale = d3.scaleThreshold()
.range([50,5])
.domain([0,1]);
data.forEach(function(d, i) {
d.x = (i % columns) * spacing;
d.y = ~~((i / columns)) * vSpacing;
});
var simulation = d3.forceSimulation(data)
.force("x", d3.forceX(function(d,i) {
return (i % columns) * spacing;
}).strength(0.1))
.force("y", d3.forceY(function(d,i) {
return ~~((i / columns)) * vSpacing;
}).strength(0.01))
.force("collide", d3.forceCollide(function(d,i) { return rScale(i)}))
.stop();
simulation.tick(75);
fmcG.selectAll(null)
.data(data)
.enter()
.append("circle")
.attr("r", function(d,i) {
return rScale(i)
})
.attr("cx", function(d) {
return d.x;
})
.attr("cy", function(d) {
return d.y;
})
.style('fill',"#003366");
<script src="https://d3js.org/d3.v5.min.js"></script>
I want to quickly point out that the big circle doesn't represent any data point (they are just going to house a name / logo). I just thought that including it in the simulation data would be the easiest way to introduce the needed force logic for the swarm circles. I thought that an elegant solution would be to use a threshold scale and let the first (i=0) datum always be the biggest circle. Here is what I mean:
var rScale = d3.scaleThreshold()
.range([0, 1])
.domain([50, 5]);
fmcG.selectAll(null)
.data(data)
.enter()
.append("circle")
.attr("r", function(d,i) {
return rScale(i)
})
.attr("cx", function(d) {
return d.x;
})
.attr("cy", function(d) {
return d.y;
})
.style('fill',"#003366");
The result I mentioned above (three big circles with little circles all around them) was not achieved, and in fact very few circles were appended and the variable radius component didn't seem to be working as I thought it would. (also no errors displayed in the log).
Question
How can I iteratively create swarms that start with one big circle and append subsequent smaller circles around the initial big circle, as applicable to the sample data set?
You could use a force simulation, like below, only this gives non-deterministic results. However, it's really good when you want to gradually add more nodes. In the below solution, I gave all related nodes a link to the center node, but didn't draw it. This made it possible for linked nodes to attract heavily.
On the other hand, you could also use a bubble chart if you want D3 to find the optimal packing solution for you, without the force working on them. Only downside is you'd have to call the packing function with all nodes every time, and the other nodes might shift because of the new one.
var margins = {
top: 100,
bottom: 300,
left: 100,
right: 100
};
var height = 250;
var width = 900;
var totalWidth = width + margins.left + margins.right;
var totalHeight = height + margins.top + margins.bottom;
var svg = d3.select('body')
.append('svg')
.attr('width', totalWidth)
.attr('height', totalHeight);
var graphGroup = svg.append('g')
.attr('transform', "translate(" + margins.left + "," + margins.top + ")");
var data = [{
'wfoe': 'wfoe1',
'products': d3.range(20).map(function(v) {
return v.toString() + '_wfoe1';
})
},
{
'wfoe': 'wfoe2',
'products': d3.range(40).map(function(v) {
return v.toString() + '_wfoe2';
})
},
{
'wfoe': 'wfoe3',
'products': d3.range(10).map(function(v) {
return v.toString() + '_wfoe3';
})
}
];
var columns = 4;
var spacing = 250;
var vSpacing = 250;
function dataToNodesAndLinks(d) {
// Create one giant array of points and
// one link between each wfoe and each product
var nodes = [{
id: d.wfoe,
center: true
}];
var links = [];
d.products.forEach(function(p) {
nodes.push({
id: p,
center: false
});
links.push({
source: d.wfoe,
target: p
});
});
return {
nodes: nodes,
links: links
};
}
var fmcG = graphGroup.selectAll('.fmc')
.data(data.map(function(d, i) {
return dataToNodesAndLinks(d, i);
}))
.enter()
.append('g')
.attr('class', 'fmc')
.attr('id', (d, i) => 'fmc' + i)
.attr('transform', (d, k) => {
var horSpace = (k % columns) * spacing;
var vertSpace = ~~((k / columns)) * vSpacing;
return "translate(" + horSpace + "," + vertSpace + ")";
});
var xScale = d3.scalePoint()
.range([0, width])
.domain([0, 100]);
var rScale = d3.scaleThreshold()
.range([50, 5])
.domain([0, 1]);
fmcG.selectAll("circle")
.data(function(d) {
return d.nodes;
})
.enter()
.append("circle")
.attr("id", function(d) {
return d.id;
})
.attr("r", function(d, i) {
return d.center ? rScale(i) * 5 : rScale(i);
})
.style('fill', function(d) { return d.center ? "darkred" : "#003366"; })
fmcG
.each(function(d, i) {
d3.forceSimulation(d.nodes)
.force("collision", d3.forceCollide(function(d) {
return d.center ? rScale(i) * 5 : rScale(i);
}))
.force("center", d3.forceCenter(0, 0))
.force("link", d3
.forceLink(d.links)
.id(function(d) {
return d.id;
})
.distance(0)
.strength(2))
.on('tick', ticked);
});
function ticked() {
fmcG.selectAll("circle")
.attr("transform", function(d) {
return "translate(" + d.x + "," + d.y + ")";
});
}
<script src="https://d3js.org/d3.v5.js"></script>
I'm probably doing something wrong but the following fiddle is displaying some really strange behavior:
https://jsfiddle.net/pkerpedjiev/42w01t3e/8/
Before I explain it, here's the code:
function skiAreaElevationsPlot() {
var width = 550;
var height = 400;
var margin = {
'top': 30,
'left': 30,
'bottom': 30,
'right': 40
};
function chart(selection) {
selection.each(function(data) {
// Select the svg element, if it exists.
var svg = d3.select(this).selectAll("svg").data([data]);
// Otherwise, create the skeletal chart.
var gEnter = svg.enter().append("svg").append("g");
svg.attr('width', width)
.attr('height', height);
var zoom = d3.behavior.zoom()
.on("zoom", draw);
data = Object.keys(data).map(function(key) {
return data[key];
}).sort(function(a, b) {
return b.max_elev - a.max_elev;
});
svg.insert("rect", "g")
.attr("class", "pane")
.attr("width", width)
.attr("height", height)
.attr('pointer-events', 'all')
.call(zoom);
var yScale = d3.scale.linear()
.domain([0, d3.max(data.map(function(d) {
return d.max_elev;
}))])
.range([height - margin.top - margin.bottom, 0]);
var xScale = d3.scale.linear()
.domain([0, data.length])
.range([0, width - margin.left - margin.right]);
var widthScale = d3.scale.linear()
.domain(d3.extent(data.map(function(d) {
return d.area;
})))
.range([10, 30]);
zoom.x(xScale).scaleExtent([1, data.length / 30]);
var gMain = gEnter.append('g')
.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')');
gMain.append("clipPath")
.attr("id", "clip")
.append("rect")
.attr("x", 0)
.attr("y", 0)
.attr("width", width - margin.left - margin.right)
.attr("height", height - margin.top - margin.bottom);
function skiAreaMouseover(d) {
gMain.select('#n-' + d.uid)
.attr('visibility', 'visible');
}
function skiAreaMouseout(d) {
gMain.select('#n-' + d.uid)
.attr('visibility', 'visible');
}
// the rectangle showing each rect
gMain.selectAll('.resort-rect')
.data(data)
.enter()
.append('rect')
.classed('resort-rect', true)
.attr("clip-path", "url(#clip)")
.attr('id', function(d) {
return 'n-' + d.uid;
})
.on('mouseover', skiAreaMouseover)
.on('mouseout', skiAreaMouseout);
var gYAxis = svg.append("g")
.attr("class", "y axis")
.attr("transform", "translate(" + (width - margin.right) + "," + margin.top + ")");
var yAxis = d3.svg.axis()
.scale(yScale)
.orient("right")
.tickSize(-(width - margin.left - margin.right))
.tickPadding(6);
gYAxis.call(yAxis);
draw();
function draw() {
function scaledX(d, i) {
console.log('xd', d);
return xScale(i);
}
function rectWidth(d, i) {
return widthScale(d.area);
}
gMain.selectAll('.resort-rect')
.attr('x', scaledX)
.attr('y', function(d) {
console.log('d', d);
return yScale(d.max_elev);
})
.attr('width', 20)
.attr('height', function(d) {
console.log('d:', d)
return yScale(d.min_elev) - yScale(d.max_elev);
})
.classed('resort-rect', true);
}
});
}
chart.width = function(_) {
if (!arguments.length) return width;
width = _;
return chart;
};
chart.height = function(_) {
if (!arguments.length) return height;
height = _;
return chart;
};
return chart;
}
var elevationsPlot = skiAreaElevationsPlot()
.width(550)
.height(300);
data = [{
"min_elev": 46,
"max_elev": 54,
"uid": "9809641c-ab03-4dec-8d51-d387c7e4f114",
"num_lifts": 1,
"area": "0.00"
}, {
"min_elev": 1354,
"max_elev": 1475,
"uid": "93eb6ade-8d78-4923-9806-c8522578843f",
"num_lifts": 1,
"area": "0.00"
}, {
"min_elev": 2067,
"max_elev": 2067,
"uid": "214fdca9-ae62-473b-b463-0ba3c5755476",
"num_lifts": 1,
"area": "0.00"
}];
d3.select('#ski-area-elevations')
.datum(data)
.call(elevationsPlot)
So, when the page is first loaded, a rectangle will be visible in the middle. If you try scrolling on the graph, the console.log statements in the draw function will produce output. Notice that the xd: and d: statements all consist of just one object from the data set.
Now, if you mouseover the rectangle and try zooming again (using the scroll wheel). A bunch of NaN errors will be displayed. Now some of the d: and xd: statements will now print lists of objects.
Why is this happening? The underlying bound data never changed.
What puzzles me is that if these statements:
gMain.select('#n-' + d.uid)
Are changed to:
gMain.selectAll('#n-' + d.uid)
The fiddle behaves properly. Why does this make a difference? Is this a bug, or am I missing something?
For googleability, here's the error I get:
Error: Invalid value for <rect> attribute y="NaN"
The simple solution is to replace gMain.select/gMain.selectAll in the mouse event routines with d3.select(this)
The complicated solution seems to be that a single select binds a parents data to whatever is selected if you're acting on an existing selection. gMain is an existing selection and has the 3 data values as an array bound to it - console.log (gMain.datum()) to see - so when you do a gMain.select("#oneoftherects") you replace the single object in #oneoftherects with that array, thus knackering the x,y,width,height etc routines that expect one object. (Using d3.select doesn't do the same as d3 isn't a selection)
http://bost.ocks.org/mike/selection/#non-grouping
I think this should be fairly simple, but I'm new to D3 and don't know where to start. I'd like to set a minumum height to the bars in my bargraph so that even bars with a value of 0 are still visible.
I'd also like this to be accurately represented by the Y axis (ideally by adding a buffer between the X axis and the start of 0 on the Y axis).
Is there a simple way to do this with a dynamic bar graph? The range on the Y axis could range from having a max of 2 to a max of 50,000, but I still want every bar to have height of some sort.
I apologize for the length of this:
link: function(scope, iElement, iAttrs) {
var scope = scope;
var chart = '';
var margin = {top: 20, right: 100, bottom: 30, left: 40},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
scope.postdetails = false;
var x = d3.scale.ordinal()
.rangeRoundBands([0, width], .1);
var y = d3.scale.linear()
.range([height, 0]);
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
.ticks(5, "");
var abbrevNum = function (d) {
var prefix = d3.formatPrefix(d);
return d3.round(prefix.scale(d),1) + prefix.symbol;
};
var initChart = function(){
$('.main-report-chart').remove();
x = null;
y = null;
x = d3.scale.ordinal()
.rangeRoundBands([0, width], .1);
y = d3.scale.linear()
.range([height, 0]);
yAxis = d3.svg.axis()
.tickFormat(function(d) { return abbrevNum(d); })
.scale(y)
.orient("left")
.ticks(5, "");
chart = d3.select(iElement[0]).append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.attr('class','main-report-chart')
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
};
var getMean = function(data){
var meanData = d3.mean(data,function(d){return eval('d.'+scope.metric)});
var meanArray = [];
meanArray.push(meanData);
return meanArray;
};
var watchCount = 0;
var svg='';
var newData = {}
scope.$watch('reportData', function(newVals, oldVals) {
if(newVals === oldVals && newVals !== undefined){
watchCount++;
initChart();
newData = newVals;
return scope.render(newVals);
}
if(watchCount==2){
if(newVals){
initChart();
newData = newVals;
return scope.render(newVals);
}
} else{
if(newVals){
initChart();
newData = newVals;
return scope.render(newVals);
}
}
}, true);
var tempValues = {};
scope.$watch('metric', function(newVals, oldVals) {
if(newVals){
if(scope.reportData){
// where redraw happens:
return scope.render(newData);
}
}
}, false);
scope.render = function(data){
if (scope.metric !== "") {
x.domain(data.map(function(d) { return d.id; }));
y.domain([0, d3.max(data, function(d) { return eval('d.' + scope.metric); })]);
chart.select(".x.axis").remove();
chart
.append("g")
.append("line")
.attr('x1',0)
.attr('x2',width)
.attr('y1',height )
.attr('y2',height)
.attr('stroke-width','2')
.attr("class", "domain");
chart.select(".y.axis").remove();
chart.append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", -40)
.attr('class','label')
.attr("x", -height)
.attr("dy", ".71em")
.style("text-anchor", "begin")
.text(scope.label);
var bar = chart.selectAll(".bar")
.data(data, function(d) { return d.id; });
// new data:
bar.enter()
.append("g")
.attr("class", "bar-container")
.append("rect")
.attr("class", "bar")
.attr('fill','#4EC7BD')
.attr("x", function(d) { return x(d.id); })
.attr("y", function(d) { return y(eval('d.'+scope.metric)); })
.attr("height", function(d) { return height - y(eval('d.'+scope.metric)); })
.attr("width", x.rangeBand())
.on('click', function(d){
scope.showDetails(d, eval('d.'+scope.metric))
});
bar.exit().remove();
bar
.transition()
.duration(750)
.attr("y", function(d) { return y(eval('d.'+scope.metric)); })
.attr("height", function(d) { return height - y(eval('d.'+scope.metric)); });
var labeltip = chart.selectAll('.tip')
.data(data, function(d) { return d.id; });
var meanData = getMean(data);
var average = chart.selectAll(".average")
.data(meanData);
average.enter()
.append("line")
.attr("class", "average")
.attr('stroke-width','2')
.attr('stroke','#3D3F49')
.attr('x1',0)
.attr('x2',width)
.attr('y1',y(meanData))
.attr('y2',y(meanData));
average.exit().remove();
average.transition()
.duration(750)
.attr('y1',y(meanData))
.attr('y2',y(meanData));
var avgbox = chart.selectAll(".avg-box")
.data(meanData);
avgbox.enter().append("rect")
.attr('class','avg-box')
.attr('width',75)
.attr('height',20)
.attr('fill','#3D3F49')
.attr('x',width )
.attr('rx',5)
.attr('y',y(meanData)-10);
var avgtext = chart.selectAll(".avg-text")
.data(meanData);
avgtext.enter().append('text')
.text('AVG '+ abbrevNum(Math.round(meanData)))
.attr('x',width +8)
.attr('class','avg-text')
.attr('y',y(meanData+15))
.attr('fill','white');
avgbox.exit().remove();
avgbox.transition()
.duration(750)
.attr('y',y(meanData)-10);
avgtext.exit().remove();
avgtext.transition()
.duration(750)
.text('AVG '+ abbrevNum(Math.round(meanData)))
.attr('y',y(meanData)+4);
}
};
}
I'd set the y-axis minimum to a negative number that is 2% of your maximum y value:
var maximumY = d3.max(data, function(d) {
return d.frequency;
});
y.domain([-(maximumY * .02), maximumY]);
Here's a quick example built off the classic d3 bar chart example. I think it produces a nice effect:
Hey at this scenario i have added minimum function to get minimum value represented number as 10% of chart bar.
// you must take the maximum number in you chart to be compared after
var max = d3.max(data, function (d) { return Math.max(d.Open, d.Closed); });
// on d3 where you draw the bar chart use the function
.attr("y", function (d) {
var barY = getMinimumValueChartBar(d.Open, max);
return y(barY);
})
.attr("height", function (d) {
var barY = getMinimumValueChartBar(d.Open, max);
return height - y(barY);
})
// this method compute if the value need to get the minimum value 10% or its zero
function getMinimumValueChartBar(val, max) {
if (val > 0 && max * 0.1 > val) {
val = max * 0.1;
}
return val;
}
Hope it will help anyone..