Smooth scrolling brush with scaleband like string labels [closed] - d3.js

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The problem: Using scaleband does not pan smoothly using brush.
https://shanegibney.github.io/D3-v4-Bar-chart-Scaleband-with-Brush/
Here is an example of smooth panning with dates on x-axis.
https://shanegibney.github.io/d3-Bar-Chart-Pan-And-Zoom/
But this only works when the x-domain is continuous.
Using a linearscale, I would like to replace the values on the x-axis with the string in data d.name. The issue is that when zooming new ticks are created in between the value. For example the values 1 and 2 when zoomed will produce values and tciks for 1, 1.5, 2 and 2.5 etc. This means that the names do not match up anymore.
This could be solved with two things;
Prevent new ticks appearing when zooming in. I don't know how to do this.
Replace each label on the x-axis ticks with d.name from the data
These are my attempts to do this,
var xAxis = d3.axisBottom(x)
.tickFormat(function(d, i) {
label = data[i].name;
local.set(this, data[i].name);
return "test";
return data[i].name;
return label;
return i;
return d;
});
None of which work.
The Plunker
https://plnkr.co/edit/zbWu6AV8MNO9N8m0byre

Inside the tickFormat function, check if the numeric tick corresponds to any value in the data array. If it does, return the name, otherwise return nothing:
var xAxis = d3.axisBottom(x)
.tickFormat(function(d) {
var found = data.find(function(e){
return e.num === d
});
return found ? found.name : null;
})
Here is the code with that change:
<!DOCTYPE html>
<meta charset="utf-8">
<style type="text/css">
body {
font-family: avenir next, sans-serif;
font-size: 12px;
}
.zoom {
cursor: move;
fill: none;
pointer-events: all;
}
.axis {
stroke-width: 0.5px;
stroke: #888;
font: 10px avenir next, sans-serif;
}
.axis>path {
stroke: #888;
}
</style>
<body>
<div id="totalDistance">
</div>
</body>
<script src="https://d3js.org/d3.v4.min.js"></script>
<script>
/* Adapted from: https://bl.ocks.org/mbostock/34f08d5e11952a80609169b7917d4172 */
var data = [{
"name": "A",
"date": "2016-11-09 11:15",
"num": "1",
"distance": "1900"
},
{
"name": "B",
"date": "2016-11-10 10:40",
"num": "2",
"distance": "1500"
},
{
"name": "C",
"date": "2016-11-11 16:45",
"num": "3",
"distance": "2500"
},
{
"name": "D",
"date": "2016-11-12 12:48",
"num": "4",
"distance": "2300"
},
{
"name": "E",
"date": "2016-11-15 20:00",
"num": "5",
"distance": "2000"
}
];
var margin = {
top: 20,
right: 20,
bottom: 90,
left: 50
},
margin2 = {
top: 230,
right: 20,
bottom: 30,
left: 50
},
width = 960 - margin.left - margin.right,
height = 300 - margin.top - margin.bottom,
height2 = 300 - margin2.top - margin2.bottom;
var parseTime = d3.timeParse("%Y-%m-%d %H:%M");
var local = d3.local();
var x = d3.scaleLinear().range([0, width]),
x2 = d3.scaleLinear().range([0, width]),
y = d3.scaleLinear().range([height, 0]),
y2 = d3.scaleLinear().range([height2, 0]);
// dur = d3.scaleLinear().range([0, 12]);
var tickLabels = ['a', 'b', 'c', 'd'];
var newData = [];
data.forEach(function(e) {
newData.push({
"name": e.name
});
});
//var xAxis = d3.axisBottom(x).tickSize(0);
var xAxis2 = d3.axisBottom(x2).tickSize(0)
.tickFormat(function(d) {
var found = data.find(function(e) {
return e.num === d
});
return found ? found.name : null;
})
yAxis = d3.axisLeft(y).tickSize(0);
var xAxis = d3.axisBottom(x)
.tickFormat(function(d) {
var found = data.find(function(e) {
return e.num === d
});
if (!found) {
d3.select(this.parentNode).select("line").remove()
}
return found ? found.name : null;
})
// var xAxis = d3.axisBottom(x)
// .tickFormat(function(d, i) {
// label = data[i].name;
// local.set(this, data[i].name);
// return "test";
// return data[i].name;
// return label;
// return i;
// return d;
// });
var brush = d3.brushX()
.extent([
[0, 0],
[width, height2]
])
.on("start brush end", brushed);
var zoom = d3.zoom()
.scaleExtent([1, 10])
.translateExtent([
[0, 0],
[width, height]
])
.extent([
[0, 0],
[width, height]
])
.on("zoom", zoomed);
var svg = d3.select("body").append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom);
svg.append("defs").append("clipPath")
.attr("id", "clip")
.append("rect")
.attr("width", width)
.attr("height", height);
var focus = svg.append("g")
.attr("class", "focus")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var context = svg.append("g")
.attr("class", "context")
.attr("transform", "translate(" + margin2.left + "," + margin2.top + ")");
// d3.json("data.json", function(error, data) {
// if (error) throw error;
var parseTime = d3.timeParse("%Y-%m-%d %H:%M");
var mouseoverTime = d3.timeFormat("%a %e %b %Y %H:%M");
var minTime = d3.timeFormat("%b%e, %Y");
var parseDate = d3.timeParse("%b %Y");
data.forEach(function(d) {
d.distance = +d.distance;
d.num = +d.num;
return d;
},
function(error, data) {
if (error) throw error;
});
var total = 0;
data.forEach(function(d) {
total = d.distance + total;
});
var minDate = d3.min(data, function(d) {
return d.num;
});
var xMin = d3.min(data, function(d) {
return d.num;
});
var yMax = Math.max(20, d3.max(data, function(d) {
return d.distance;
}));
x.domain([xMin, d3.max(data, function(d) {
return d.num;
})]);
y.domain([0, yMax]);
x2.domain(x.domain());
y2.domain(y.domain());
var rects = focus.append("g");
rects.attr("clip-path", "url(#clip)");
rects.selectAll("rects")
.data(data)
.enter().append("rect")
.style("fill", function(d) {
return "#8DA5ED";
})
.attr("class", "rects")
.attr("x", function(d) {
return x(d.num);
})
.attr("y", function(d) {
return y(d.distance);
})
.attr("width", function(d) {
return 10;
})
.attr("height", function(d) {
return height - y(d.distance);
});
focus.append("g")
.attr("class", "axis x-axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
focus.append("g")
.attr("class", "axis axis--y")
.call(yAxis);
// Summary Stats
focus.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 0 - margin.left)
.attr("x", 0 - (height / 2))
.attr("dy", "1em")
.style("text-anchor", "middle")
.text("Distance in meters");
svg.append("text")
.attr("transform",
"translate(" + ((width + margin.right + margin.left) / 2) + " ," +
(height + margin.top + margin.bottom) + ")")
.style("text-anchor", "middle")
.text("Date");
svg.append("rect")
.attr("class", "zoom")
.attr("width", width)
.attr("height", height)
.attr("transform", "translate(" + margin.left + "," + margin.top + ")")
.call(zoom);
var rects = context.append("g");
rects.attr("clip-path", "url(#clip)");
rects.selectAll("rects")
.data(data)
.enter().append("rect")
.style("fill", function(d) {
return "#8DA5ED";
})
.attr("class", "rects")
.attr("x", function(d) {
return x2(d.num);
})
.attr("y", function(d) {
return y2(d.distance);
})
.attr("width", function(d) {
return 10;
})
.attr("height", function(d) {
return height2 - y2(d.distance);
});
context.append("g")
.attr("class", "axis x-axis")
.attr("transform", "translate(0," + height2 + ")")
.call(xAxis2);
context.append("g")
.attr("class", "brush")
.call(brush)
.call(brush.move, x.range());
// });
function brushed() {
if (d3.event.sourceEvent && d3.event.sourceEvent.type === "zoom") return; // ignore brush-by-zoom
var s = d3.event.selection || x2.range();
x.domain(s.map(x2.invert, x2));
focus.selectAll(".rects")
.attr("x", function(d) {
return x(d.num);
})
.attr("y", function(d) {
return y(d.distance);
})
.attr("width", function(d) {
return 10;
})
.attr("height", function(d) {
return height - y(d.distance);
});
focus.select(".x-axis").call(xAxis);
svg.select(".zoom").call(zoom.transform, d3.zoomIdentity
.scale(width / (s[1] - s[0]))
.translate(-s[0], 0));
var e = d3.event.selection;
var selectedrects = focus.selectAll('.rects').filter(function() {
var xValue = this.getAttribute('x');
return e[0] <= xValue && xValue <= e[1];
});
}
function zoomed() {
if (d3.event.sourceEvent && d3.event.sourceEvent.type === "brush") return; // ignore zoom-by-brush
var t = d3.event.transform;
x.domain(t.rescaleX(x2).domain());
focus.selectAll(".rects")
.attr("x", function(d) {
return x(d.num);
})
.attr("y", function(d) {
return y(d.distance);
})
.attr("width", function(d) {
return 10;
})
.attr("height", function(d) {
return height - y(d.distance);
});
focus.select(".x-axis").call(xAxis);
context.select(".brush").call(brush.move, x.range().map(t.invertX, t));
}
</script>
PS: this is clearly a XY Problem: disguising a linear scale as an categorical scale, as you're doing here, may not be the correct solution. Instead of that, you should find out how to brush the band scale itself.

Related

d3js animated horizontal chart improvements

I am creating a horizontal animated d3 chart. How do you reverse the x axis and position the bars in a more dynamic way.
Are the bars the correct width or is the xaxis scale correct? Using d3 version 4
//horizontal work in progress
http://jsfiddle.net/ueg3bjf7/
//vertical chart code this is based from
http://jsfiddle.net/myf1zhar/
$(document).ready(function() {
var $this = $(".barchart");
var w = $this.data("width");
var h = $this.data("height");
var data = $this.data("data");
var data = [{
"label": "Apples",
"value": 100
},
{
"label": "Pears",
"value": 120
},
{
"label": "Bananas",
"value": 20
}
];
var configurations = $this.data("configurations");
function colores_google(n) {
var colores_g = ["#f7b363", "#448875", "#2b2d39", "#c12f39", "#f8dd2f", "#1b91dc"];
return colores_g[n % colores_g.length];
}
//asess the margin bottom for the chart based on the max char label
var charLabelCount = [];
data.map(function(d) {
var labelStr = d.label.toString();
charLabelCount.push(labelStr.length);
})
var maxChars = charLabelCount.reduce(function(a, b) {
return Math.max(a, b);
});
var bottomMarg = 60;
if (maxChars > 15) {
bottomMarg = 170;
}
//bottom margin calculation
var margin = {
top: 15,
right: 20,
bottom: bottomMarg,
left: 40
},
width = w - margin.left - margin.right,
height = h - margin.top - margin.bottom;
var x = d3.scaleBand()
.range([0, width]);
var y = d3.scaleLinear()
.range([height, 0]);
var yAxis = d3.axisBottom(y);
var xAxis = d3.axisLeft(x);
var svg = d3.select($this[0])
.append("svg")
.attr("width", w)
.attr("height", h)
.attr("viewBox", "0 0 " + w + " " + h)
.attr("preserveAspectRatio", "xMidYMid meet")
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")")
.attr("class", "barchartg");
function sortBy(array, key) {
var sorted = array.sort(function(a, b) {
return parseFloat(b[key]) - parseFloat(a[key]);
});
return sorted;
}
var sortedMax = 45;
if (configurations) {
if (configurations[0]["maxValue"]) {
sortedMax = configurations[0]["maxValue"] + 5;
}
} else {
sortedMax = sortBy(data, "value")[0]["value"] + 5;
}
x.domain(data.map(function(d) {
return d.label;
}));
y.domain([0, sortedMax]);
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0,25)")
.call(xAxis);
svg.selectAll(".x.axis text")
.attr("transform", "rotate(-60) translate(-5,-5)")
.style("text-anchor", "end");
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("");
svg.selectAll(".bar")
.data(data)
.enter().append("rect")
.attr("class", "bar")
.attr("fill", function(d, i) {
return colores_google(i);
})
.attr("x", function(d) {
return 0;
})
.attr("width", function(d) {
return d.value;
})
.attr("y", function(d, i) {
return 45 + (i * 90);
})
.attr("height", function(d) {
return 50;
});
d3.selectAll("rect").transition()
.duration(500)
.delay(function(d, i) {
return 500 * i;
})
.attr("width", function(d) {
return 0;
})
setTimeout(function() {
d3.selectAll("rect").transition()
.duration(500)
.delay(function(d, i) {
return 600 * (3 - i);
})
.attr("width", function(d) {
return d.value;
})
}, 2000);
});
I will try to answer your questions.
How do you reverse the x axis
You have to change the domain of the axis
y.domain([sortedMax, 0]);
position the bars
You have to translate the axis to the width of your graph
svg.append("g").attr("transform", "translate(0, 300)").attr("class", "y axis")
Are the bars the correct width or is the xaxis scale correct?
You have to use a multiplier to calculate the width of each bar, using the max width of your graph and your max value. I have added the 25 pixels of the translate of the x axis
var mult = (w + 25) / sortedMax;
...
svg.selectAll(".bar")
.data(data)
.enter().append("rect")
.attr("class", "bar")
.attr("fill", function(d, i) {
return colores_google(i);
})
.attr("x", function(d) {
return 0;
})
.attr("width", function(d) {
return d.value * mult;
})
.attr("y", function(d, i) {
return 45 + (i * 90);
})
.attr("height", function(d) {
return 50;
});
...
setTimeout(function() {
d3.selectAll("rect").transition()
.duration(500)
.delay(function(d, i) {
return 600 * (3 - i);
})
.attr("width", function(d) {
return d.value * mult;
})
}, 2000);
You can see the result in this fiddle http://jsfiddle.net/jfLgawue/65/

How to assign id to the bar chart

How can I assign id base on its name?
the link of the screenshot of the console is down below.
Thanks
serie.selectAll("rect")
.data(function(d) { return d; })
.enter().append("rect")
.attr("class","bar")
.attr("x", function(d) { return x(d.data.Company); })
.attr("y", function(d) { return y(d[1]); })
.attr("height", function(d) { return y(d[0]) - y(d[1]); })
.attr("width", x.bandwidth())
.attr("id",function(d,i){
return "id"+ d.name;
})
I discourage assigning ids to every bar as ids need to be unique. Its better to have a class instead. But as requested, I have posted a fiddle below. Hover on the bars to get the id. And you also said you need the id for animating so I've also added some animations when the chart loads (If that's what you meant by animation).
// Setup svg using Bostock's margin convention
var margin = {
top: 20,
right: 160,
bottom: 35,
left: 30
};
var width = 700 - margin.left - margin.right,
height = 300 - margin.top - margin.bottom;
var svg = d3.select("body")
.append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
/* Data in strings like it would be if imported from a csv */
var data = [{
mystate: "Intuit",
name: "Asian",
y0: 53,
y1: 1824,
value: "1771"
}, {
mystate: "Intuit",
name: "Latino",
y0: 2707,
y1: 1231,
value: "1771"
}, {
mystate: "Intuit",
name: "Black_or_African_American",
y0: 2060,
y1: 1824,
value: "1771"
}, {
mystate: "Intuit",
name: "Caucasian",
y0: 355,
y1: 1024,
value: "1771"
}];
// Transpose the data into layers
var dataset = d3.layout.stack()(['y0', 'y1'].map(function(values) {
return data.map(function(d) {
return {
x: d.name,
y: +d[values],
};
});
}));
// Set x, y and colors
var x = d3.scale.ordinal()
.domain(dataset[0].map(function(d) {
return d.x;
}))
.rangeRoundBands([10, width - 10], 0.02);
var y = d3.scale.linear()
.domain([0, d3.max(dataset, function(d) {
return d3.max(d, function(d) {
return d.y0 + d.y;
});
})])
.range([height, 0]);
var colors = ["b33040", "#d25c4d", "#f2b447", "#d9d574"];
// Define and draw axes
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
.ticks(5)
.tickSize(-width, 0, 0)
.tickFormat(function(d) {
return d
});
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
svg.append("g")
.attr("class", "y axis")
.call(yAxis);
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
// Create groups for each series, rects for each segment
var groups = svg.selectAll("g.cost")
.data(dataset)
.enter().append("g")
.attr("class", "cost")
.style("fill", function(d, i) {
return colors[i];
});
var rect = groups.selectAll("rect")
.data(function(d) {
return d;
})
.enter()
.append("rect")
.attr("x", function(d) {
return x(d.x);
})
.attr("y", function(d) {
return height;
})
.attr("height", function(d) {
return 0;
})
.attr("width", x.rangeBand())
.attr('id', function(d) {
return 'id' + d.x;
})
.on("mouseover", function() {
console.log(d3.select(this).attr('id'));
tooltip.style("display", null);
})
.on("mouseout", function() {
tooltip.style("display", "none");
})
.on("mousemove", function(d) {
var xPosition = d3.mouse(this)[0] - 15;
var yPosition = d3.mouse(this)[1] - 25;
tooltip.attr("transform", "translate(" + xPosition + "," + yPosition + ")");
tooltip.select("text").text(d.y);
}).transition().duration(1000)
.delay(function(d, i) {
return i * 300;
})
.attr("height", function(d) {
return y(d.y0) - y(d.y0 + d.y);
}).attr("y", function(d) {
return y(d.y0 + d.y);
});
// Prep the tooltip bits, initial display is hidden
var tooltip = svg.append("g")
.attr("class", "tooltip")
.style("display", "none");
tooltip.append("rect")
.attr("width", 30)
.attr("height", 20)
.attr("fill", "white")
.style("opacity", 0.5);
tooltip.append("text")
.attr("x", 15)
.attr("dy", "1.2em")
.style("text-anchor", "middle")
.attr("font-size", "12px")
.attr("font-weight", "bold");
svg {
font: 10px sans-serif;
shape-rendering: crispEdges;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
}
path.domain {
stroke: none;
}
.y .tick line {
stroke: #ddd;
}
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.3.13/d3.min.js"></script>
Now coming back to your code, when you transform the data by using d3.layout.stack() there is no property called name in your new data (I suppose) and hence your ids are idundefined

d3 using zoom and brush on a bar chart

Hi I am trying to adapt Matthew Izanuk's Unit Bar Chart with Brush and Zoom to a randomly generated bar chart I have already created.
I get an error with the zoom function, on line 261
line 261 is
x.domain(t.rescaleX(x2).domain());
Here is the code and jsFiddle
<!DOCTYPE html>
<body>
<style>
div {
display: inline-block;
vertical-align: top;
}
#bar_chart {
border: 2px solid lightgray;
border-radius: 15px;
}
#json {
max-height: 600px;
width: 200px;
overflow: scroll;
border: 2px solid gray;
border-radius: 15px;
}
.zoom {
cursor: move;
fill: none;
pointer-events: all;
}
</style>
<div id="bar_chart">
</div>
<div id="json"></div>
<script src="https://d3js.org/d3.v4.min.js"></script>
<script>
//************* generate data ************
var data = [];
var space = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz";
var spaceLength = space.length;
makedata();
function makedata() {
var obj = {};
for (var i = 0; i < spaceLength; i++) {
obj = {};
value = Math.floor(Math.random() * 500);
rand = Math.floor(Math.random() * space.length)
name = space.charAt(rand);
obj["name"] = name;
obj["val"] = value;
data.push(obj);
space = space.slice(0, rand) + space.slice(rand + 1, space.length)
}
}
// To display json in html page
document.getElementById("json").innerHTML = "<pre>" + JSON.stringify(data, null, 4) + "</pre>";
var margin = {
top: 50,
right: 20,
bottom: 90,
left: 50
},
margin2 = {
top: 530,
right: 20,
bottom: 30,
left: 50
},
width = 1000 - margin.left - margin.right,
height = 600 - margin.top - margin.bottom,
height2 = 600 - margin2.top - margin2.bottom;
var x = d3.scaleBand()
.domain(data.map(function(d) {
return d.name
}))
.range([0, width]);
var x2 = d3.scaleBand()
.domain(data.map(function(d) {
return d.name
}))
.range([0, width]);
var y = d3.scaleLinear()
.domain([0, d3.max(data, function(d) {
return d.val
})])
.range([height, 0]);
var y2 = d3.scaleLinear()
.domain([0, d3.max(data, function(d) {
return d.val
})])
.range([height2, 0]);
var brush = d3.brushX()
.extent([
[0, 0],
[width, height2]
])
.on("brush", brushed);
var zoom = d3.zoom()
.scaleExtent([1, Infinity])
.translateExtent([
[0, 0],
[width, height]
])
.extent([
[0, 0],
[width, height]
])
.on("zoom", zoomed);
var svg = d3.select("#bar_chart")
// .data(data)
.append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom);
// .append("g")
// .attr("transform", "translate(" + margin.left + "," + margin.top + ")");
svg.append("defs").append("clipPath")
.attr("id", "clip")
.append("rect")
.attr("width", width)
.attr("height", height);
var focus = svg.append("g")
.attr("class", "focus")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var context = svg.append("g")
.attr("class", "context")
.attr("transform", "translate(" + margin2.left + "," + margin2.top + ")");
var g0 = focus.append("g")
.attr("class", "focus")
.attr("transform", "translate(0,0)");
var xAxis = d3.axisBottom(x);
var xAxis2 = d3.axisBottom(x2);
focus.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
// Add the Y Axis
focus.append("g")
.attr("class", "axis")
.call(d3.axisLeft(y)
.ticks(7));
var tooltip = d3.select("#info")
.append("div")
.style("position", "absolute")
.style("z-index", "10")
.style("visibility", "hidden");
svg.append("rect")
.attr("class", "zoom")
.attr("width", width)
.attr("height", height)
.attr("transform", "translate(" + margin.left + "," + margin.top + ")")
.call(zoom);
var focus_group = focus.append("g");
focus_group.attr("clip-path", "url(#clip)");
var rects = focus_group.selectAll('rect')
.data(data);
//********* Bar Chart 1 ****************
var newRects1 = rects.enter();
newRects1.append('rect')
.attr('class', 'bar mainBars')
.attr('x', function(d, i) {
return x(d.name);
})
.attr('y', function(d, i) {
return y(d.val);
})
.attr('height', function(d, i) {
return height - y(d.val)
})
.attr('opacity', 0.85)
.attr('width', 10)
.attr("transform", "translate(" + 4 + ",0)")
.style('fill', 'lightblue')
.style('stroke', 'gray');
var focus_group = context.append("g");
focus_group.attr("clip-path", "url(#clip)");
var brushRects = focus_group.selectAll('rect')
.data(data);
//********* Brush Bar Chart ****************
var brushRects1 = brushRects.enter();
brushRects1.append('rect')
.attr('class', 'bar mainBars')
.attr('x', function(d, i) {
return x2(d.name);
})
.attr('y', function(d, i) {
return y2(d.val);
})
.attr('height', function(d, i) {
return height2 - y2(d.val)
})
.attr('opacity', 0.85)
.attr('width', 10)
.attr("transform", "translate(" + 4 + ",0)")
.style('fill', 'lightblue')
.style('stroke', 'gray');
//append brush xAxis2
context.append("g")
.attr("class", "axis x-axis")
.attr("transform", "translate(0," + height2 + ")")
.call(xAxis2);
context.append("g")
.attr("class", "brush")
.call(brush)
.call(brush.move, x.range());
//create brush function redraw scatterplot with selection
function brushed() {
if (d3.event.sourceEvent && d3.event.sourceEvent.type === "zoom") return; // ignore brush-by-zoom
var s = d3.event.selection || x2.range();
x.domain(s.map(x2.invert, x2));
focus.selectAll(".mainBars")
.attr("x", function(d) {
return x(d.name);
})
.attr("y", function(d) {
return y(d.val);
})
.attr('height', function(d, i) {
return height - y(d.val)
})
.attr('opacity', 0.85)
.attr('width', 10);
focus.select(".x-axis").call(xAxis);
svg.select(".zoom").call(zoom.transform, d3.zoomIdentity
.scale(width / (s[1] - s[0]))
.translate(-s[0], 0));
}
function zoomed() {
if (d3.event.sourceEvent && d3.event.sourceEvent.type === "brush") return; // ignore zoom-by-brush
var t = d3.event.transform;
x.domain(t.rescaleX(x2).domain());
focus.selectAll(".mainBars")
.attr("x", function(d) {
return x(d.name);
})
.attr("y", function(d) {
return y(d.val);
})
.attr('height', function(d, i) {
return height - y(d.val)
})
.attr('opacity', 0.85)
.attr('width', 10);
focus.select(".x-axis").call(xAxis);
context.select(".brush").call(brush.move, x.range().map(t.invertX, t));
}
</script>
Any help would be greatly appreciated,
thanks
As mentioned in the comments, invert only exists for continuous ranges. Your scaleBand is a ordinal scale composed of discreet values. One way I've worked around this is to simply figure which values in my domain fall in the selection:
function brushed() {
if (d3.event.sourceEvent && d3.event.sourceEvent.type === "zoom") return;
// ignore brush-by-zoom
// get bounds of selection
var s = d3.event.selection,
nD = [];
// for each "tick" in our domain is it in selection
x2.domain().forEach((d)=>{
var pos = x2(d) + x2.bandwidth()/2;
if (pos > s[0] && pos < s[1]){
nD.push(d);
}
});
// set new domain
x.domain(nD);
// redraw
focus.selectAll(".mainBars")
// hide bars not in domain
.style("opacity", function(d){
return x.domain().indexOf(d.name) === -1 ? 0 : 100;
})
.attr("x", function(d) {
return x(d.name)+ x.bandwidth()/2 - 5;
})
.attr("y", function(d) {
return y(d.val);
})
.attr('height', function(d, i) {
return height - y(d.val)
})
.attr('opacity', 0.85)
.attr('width', 10);
focus.select(".x.axis").call(xAxis);
svg.select(".zoom").call(zoom.transform, d3.zoomIdentity
.scale(width / (s[1] - s[0]))
.translate(-s[0], 0));
}
Running code:
<!DOCTYPE html>
<head>
<style>
div {
display: inline-block;
vertical-align: top;
}
#bar_chart {
border: 2px solid lightgray;
border-radius: 15px;
}
#json {
max-height: 600px;
width: 200px;
overflow: scroll;
border: 2px solid gray;
border-radius: 15px;
}
.zoom {
cursor: move;
fill: none;
pointer-events: all;
}
</style>
</head>
<body>
<div id="bar_chart">
</div>
<div id="json"></div>
<script src="https://d3js.org/d3.v4.min.js"></script>
<script>
//************* generate data ************
var data = [];
var space = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz";
var spaceLength = space.length;
makedata();
function makedata() {
var obj = {};
for (var i = 0; i < spaceLength; i++) {
obj = {};
value = Math.floor(Math.random() * 500);
rand = Math.floor(Math.random() * space.length)
name = space.charAt(rand);
obj["name"] = name;
obj["val"] = value;
data.push(obj);
space = space.slice(0, rand) + space.slice(rand + 1, space.length)
}
}
// To display json in html page
document.getElementById("json").innerHTML = "<pre>" + JSON.stringify(data, null, 4) + "</pre>";
var margin = {
top: 50,
right: 20,
bottom: 90,
left: 50
},
margin2 = {
top: 530,
right: 20,
bottom: 30,
left: 50
},
width = 1000 - margin.left - margin.right,
height = 600 - margin.top - margin.bottom,
height2 = 600 - margin2.top - margin2.bottom;
var x = d3.scaleBand()
.domain(data.map(function(d) {
return d.name
}))
.range([0, width]);
var x2 = d3.scaleBand()
.domain(data.map(function(d) {
return d.name
}))
.range([0, width]);
var y = d3.scaleLinear()
.domain([0, d3.max(data, function(d) {
return d.val
})])
.range([height, 0]);
var y2 = d3.scaleLinear()
.domain([0, d3.max(data, function(d) {
return d.val
})])
.range([height2, 0]);
var brush = d3.brushX()
.extent([
[0, 0],
[width, height2]
])
.on("brush", brushed);
var zoom = d3.zoom()
.scaleExtent([1, Infinity])
.translateExtent([
[0, 0],
[width, height]
])
.extent([
[0, 0],
[width, height]
])
.on("zoom", zoomed);
var svg = d3.select("#bar_chart")
// .data(data)
.append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom);
// .append("g")
// .attr("transform", "translate(" + margin.left + "," + margin.top + ")");
svg.append("defs").append("clipPath")
.attr("id", "clip")
.append("rect")
.attr("width", width)
.attr("height", height);
var focus = svg.append("g")
.attr("class", "focus")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var context = svg.append("g")
.attr("class", "context")
.attr("transform", "translate(" + margin2.left + "," + margin2.top + ")");
var xAxis = d3.axisBottom(x);
var xAxis2 = d3.axisBottom(x2);
focus.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
// Add the Y Axis
focus.append("g")
.attr("class", "axis")
.call(d3.axisLeft(y)
.ticks(7));
var tooltip = d3.select("#info")
.append("div")
.style("position", "absolute")
.style("z-index", "10")
.style("visibility", "hidden");
svg.append("rect")
.attr("class", "zoom")
.attr("width", width)
.attr("height", height)
.attr("transform", "translate(" + margin.left + "," + margin.top + ")")
.call(zoom);
var focus_group = focus.append("g");
focus_group.attr("clip-path", "url(#clip)");
var rects = focus_group.selectAll('rect')
.data(data);
//********* Bar Chart 1 ****************
var newRects1 = rects.enter();
newRects1.append('rect')
.attr('class', 'bar mainBars')
.attr('x', function(d, i) {
return x(d.name) + x.bandwidth()/2;
})
.attr('y', function(d, i) {
return y(d.val);
})
.attr('height', function(d, i) {
return height - y(d.val)
})
.attr('opacity', 0.85)
.attr('width', 10)
.style('fill', 'lightblue')
.style('stroke', 'gray');
var focus_group = context.append("g");
focus_group.attr("clip-path", "url(#clip)");
var brushRects = focus_group.selectAll('rect')
.data(data);
//********* Brush Bar Chart ****************
var brushRects1 = brushRects.enter();
brushRects1.append('rect')
.attr('class', 'bar mainBars')
.attr('x', function(d, i) {
return x2(d.name);
})
.attr('y', function(d, i) {
return y2(d.val);
})
.attr('height', function(d, i) {
return height2 - y2(d.val)
})
.attr('opacity', 0.85)
.attr('width', 10)
.attr("transform", "translate(" + 4 + ",0)")
.style('fill', 'lightblue')
.style('stroke', 'gray');
//append brush xAxis2
context.append("g")
.attr("class", "axis x-axis")
.attr("transform", "translate(0," + height2 + ")")
.call(xAxis2);
context.append("g")
.attr("class", "brush")
.call(brush)
.call(brush.move, x.range());
//create brush function redraw scatterplot with selection
function brushed() {
if (d3.event.sourceEvent && d3.event.sourceEvent.type === "zoom") return; // ignore brush-by-zoom
// get bounds of selection
var s = d3.event.selection,
nD = [];
x2.domain().forEach((d)=>{
var pos = x2(d) + x2.bandwidth()/2;
if (pos > s[0] && pos < s[1]){
nD.push(d);
}
});
x.domain(nD);
focus.selectAll(".mainBars")
.style("opacity", function(d){
return x.domain().indexOf(d.name) === -1 ? 0 : 100;
})
.attr("x", function(d) {
return x(d.name)+ x.bandwidth()/2 - 5;
})
.attr("y", function(d) {
return y(d.val);
})
.attr('height', function(d, i) {
return height - y(d.val)
})
.attr('opacity', 0.85)
.attr('width', 10);
focus.select(".x.axis").call(xAxis);
svg.select(".zoom").call(zoom.transform, d3.zoomIdentity
.scale(width / (s[1] - s[0]))
.translate(-s[0], 0));
}
function zoomed() {
/*
if (d3.event.sourceEvent && d3.event.sourceEvent.type === "brush") return; // ignore zoom-by-brush
var t = d3.event.transform;
x.domain(t.rescaleX(x2).domain());
focus.selectAll(".mainBars")
.attr("x", function(d) {
return x(d.name) + x.bandwidth()/2;
})
.attr("y", function(d) {
return y(d.val);
})
.attr('height', function(d, i) {
return height - y(d.val)
})
.attr('opacity', 0.85)
.attr('width', 10);
focus.select(".x-axis").call(xAxis);
context.select(".brush").call(brush.move, x.range().map(t.invertX, t));
*/
}
</script>

d3.js parallel coordinate with one different scale

I'm trying to generate a parallel coordinate using d3.js
My problem is that the first scale should display different strings.
with the original code it looks like this:
and with my test it looks like this (no lines):
the error code is:
Error: Invalid value for attribute d="M33,NaNL99,161.37817638266068L165,6.543121881682145L231,16.962488563586458L297,180"
here is my code:
function parallelChart (id, size) {
if(size == 'small') {
var margin = {top: 20, right: 80, bottom: 30, left: 50},
width = 460 - margin.left - margin.right,
height = 230 - margin.top - margin.bottom;
} else {
var margin = {top: 20, right: 80, bottom: 30, left: 50},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
}
var x = d3.scale.ordinal().rangePoints([0, width], 1),
y = {},
dragging = {};
var line = d3.svg.line(),
axis = d3.svg.axis().orient("left"),
background,
foreground;
var svg = d3.select(id).append("svg")
.attr("class", 'center-block')
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
// Original
d3.csv("dataNew.csv", function(error, healthdata) {
x.domain(dimensions = d3.keys(healthdata[0]).filter(function(d) {
return d != "Datum" && (y[d] = d3.scale.linear()
.domain(d3.extent(healthdata, function(p) { return +p[d]; }))
.range([height, 0]));
}));
// this did not work
// d3.csv("dataNew.csv", function(error, healthdata) {
// x.domain(dimensions = d3.keys(healthdata[0]).filter(function(d) {
// if(d == "Datum") {
// return d == "Datum" && ( (y[d] = d3.time.scale()
// .domain(d3.extent(healthdata, function(p) { return +p[d]; }))
// .range([height, 0])));
// }
// return d != "Datum" && ( (y[d] = d3.scale.linear()
// .domain(d3.extent(healthdata, function(p) { return +p[d]; }))
// .range([height, 0])));
// }));
// Add grey background lines for context.
background = svg.append("g")
.attr("class", "background")
.selectAll("path")
.data(healthdata)
.enter().append("path")
.attr("d", path);
// Add blue foreground lines for focus.
foreground = svg.append("g")
.attr("class", "foreground")
.selectAll("path")
.data(healthdata)
.enter().append("path")
.attr("d", path);
// Add a group element for each dimension.
var g = svg.selectAll(".dimension")
.data(dimensions)
.enter().append("g")
.attr("class", "dimension")
.attr("transform", function(d) { return "translate(" + x(d) + ")"; })
.call(d3.behavior.drag()
.origin(function(d) { return {x: x(d)}; })
.on("dragstart", function(d) {
dragging[d] = x(d);
background.attr("visibility", "hidden");
})
.on("drag", function(d) {
dragging[d] = Math.min(width, Math.max(0, d3.event.x));
foreground.attr("d", path);
dimensions.sort(function(a, b) { return position(a) - position(b); });
x.domain(dimensions);
g.attr("transform", function(d) { return "translate(" + position(d) + ")"; })
})
.on("dragend", function(d) {
delete dragging[d];
transition(d3.select(this)).attr("transform", "translate(" + x(d) + ")");
transition(foreground).attr("d", path);
background
.attr("d", path)
.transition()
.delay(500)
.duration(0)
.attr("visibility", null);
}));
// Add an axis and title.
g.append("g")
.attr("class", "axis")
.each(function(d) { d3.select(this).call(axis.scale(y[d])); })
.append("text")
.style("text-anchor", "middle")
.attr("y", -9)
.text(function(d) { return d; });
// Add and store a brush for each axis.
g.append("g")
.attr("class", "brush")
.each(function(d) {
d3.select(this).call(y[d].brush = d3.svg.brush().y(y[d]).on("brushstart", brushstart).on("brush", brush));
})
.selectAll("rect")
.attr("x", -8)
.attr("width", 16);
});
function position(d) {
var v = dragging[d];
return v == null ? x(d) : v;
}
function transition(g) {
return g.transition().duration(500);
}
// Returns the path for a given data point.
function path(d) {
return line(dimensions.map(function(p) { return [position(p), y[p](d[p])]; }));
}
function brushstart() {
d3.event.sourceEvent.stopPropagation();
}
// Handles a brush event, toggling the display of foreground lines.
function brush() {
var actives = dimensions.filter(function(p) { return !y[p].brush.empty(); }),
extents = actives.map(function(p) { return y[p].brush.extent(); });
foreground.style("display", function(d) {
return actives.every(function(p, i) {
return extents[i][0] <= d[p] && d[p] <= extents[i][1];
}) ? null : "none";
});
}
}
Here goes one example where the author manage string and numbers in the same parallel coord:
http://bl.ocks.org/syntagmatic/4020926
Create an array of dimensions that will be further used...
var dimensions = [
{
name: "name",
scale: d3.scale.ordinal().rangePoints([0, height]),
type: "string"
},
{
name: "economy (mpg)",
scale: d3.scale.linear().range([0, height]),
type: "number"
},
...
]
...before load the data, define the domains by mapping your previous dimensions definition...
var x = d3.scale.ordinal()
.domain(dimensions.map(function(d) { return d.name; }))
.rangePoints([0, width]);
...define a variable dimension (pay attention, dimensions != dimension) with the locations of each axis...
var dimension = svg.selectAll(".dimension")
.data(dimensions)
.enter().append("g")
.attr("class", "dimension")
.attr("transform", function(d) { return "translate(" + x(d.name) + ")"; });
...once the data is loaded, execute a for each to define the domain of each dimension...
d3.csv("cars.small.csv", function(data) {
dimensions.forEach(function(dimension) {
dimension.scale.domain(dimension.type === "number"
? d3.extent(data, function(d) { return +d[dimension.name]; })
: data.map(function(d) { return d[dimension.name]; }).sort());
});
...
}
... axis lines and foreground are still loaded in the same way...
svg.append("g")
.attr("class", "background")
.selectAll("path")
.data(data)
.enter().append("path")
.attr("d", draw);
svg.append("g")
.attr("class", "foreground")
.selectAll("path")
.data(data)
.enter().append("path")
.attr("d", draw);
... this code will load the text of each axis, observe that it is now using properties from the dimensions that we defined in the beggining.
dimension.append("g")
.attr("class", "axis")
.each(function(d) { d3.select(this).call(yAxis.scale(d.scale)); })
.append("text")
.attr("class", "title")
.attr("text-anchor", "middle")
.attr("y", -9)
.text(function(d) { return d.name; });
that`s all =).

Stuck with D3 V3 zoom behaviour documentation

I am a newbie with D3 library and I am stuck with zooming on a graph.
I display correctly my data over several graphs. But when I zoom, everything goes wrong. I don't know if I miss something with Domains or Ranges or anything... so I ask.
You can find a demo of my code here: http://pastehtml.com/view/cos13vodt.html
And here is the jsFiddle example: http://jsfiddle.net/84mSQ/
And my JS code is there:
var margin = {top: 30, right: 150, bottom: 30, left: 50},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
//To parse dates as they are into the CSV
var parseDate = d3.time.format("%Y/%m/%d-%H:%M").parse;
var format = d3.time.format("%d/%m/%y-%H:%M");
var x = d3.time.scale()
.range([0, width]);
var y = d3.scale.linear()
.range([height, 0]);
var color = d3.scale.category10();
var xAxis = d3.svg.axis().scale(x)
.orient("bottom");
var yAxis = d3.svg.axis().scale(y)
.orient("left")/*.ticks(30)*/;
var zoom = d3.behavior.zoom()
.x(x)
.scaleExtent([1, 2])
.on("zoom", function(scale, translate){
console.log("fonction zoom");
console.log(scale); console.log(translate);
zoomed(scale, translate);
});
// A line generator.
var line = d3.svg.line()
.interpolate("basis")
.x(function(d) { return x(d.date); })
.y(function(d) { return y(d.value); });
var svg = d3.select("body")
.append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("svg:g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")")
.call(zoom);
svg.append("rect")
.attr("class", "pane")
.attr("width", width)
.attr("height", height);
// Get the data
d3.csv("./enregistrement-subset2.csv", function(data) {
color.domain(d3.keys(data[0])
.filter(function(key) {
return key !== "date" && key !== "ECS - Button A" ;
}));
data.forEach(function(d) {
//Parse the date
d.date = parseDate(d.date);
});
var dataSet = color.domain().map(function(name) {
return {
name: name,
values: data.map(function(d) {
//parses the number by using the '+' operator
if(name == "CO2 chambre"){
return { date: d.date, value: (+d[name])/10};
}
else{
return { date: d.date, value: +d[name]};
}
})
};
});
// Scale the range of the data
x.domain(d3.extent(data, function(d) { return d.date; }));
y.domain([
d3.min(dataSet, function(c) { var mini = d3.min(c.values, function(v) { return v.value; }); return mini; }),
d3.max(dataSet, function(c) { var maxi = d3.max(c.values, function(v) { return v.value; }); return maxi; })
]);
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("Value of");
var valueSet = svg.selectAll(".valueSet")
.data(dataSet)
.enter().append("g")
.attr("class", "valueSet");
valueSet.append("path")
.attr("class", "line")
.attr("d", function(d) { return line(d.values); })
.style("stroke", function(d) { return color(d.name); })
.call(line);
valueSet.append("text")
.datum(function(d) { return {name: d.name, value: d.values[d.values.length - 1]}; })
.attr("transform", function(d) { return "translate(" + x(d.value.date) + "," + y(d.value.value) + ")"; })
.attr("x", 3)
.attr("dy", ".35em")
.text(function(d) { return d.name; });
//zoomed();
});
function zoomed() {
console.log("here", d3.event);
svg.select("g.x.axis").call(xAxis);
svg.select("g.y.axis").call(yAxis);
//svg.selectAll("path.line").call(line);
svg.selectAll("path.line").attr("d", line);
//d3.select("#footer span").text("PĂ©riode de temps: " + x.domain().map(format).join("-"));
}
Can anybody tell me what I did wrong with this code ?
Should I re-design it ?
Are there performances issue to preview if I use a huge amount of data and what should I do then ?
var zoom = d3.behavior.zoom()
.x(x)
**.scaleExtent([1, 2])** <---
.on("zoom", function(scale, translate){
console.log("fonction zoom");
console.log(scale); console.log(translate);
zoomed(scale, translate);
});
take out the .scaleExtent([1, 2]) and check if it is working
should be
var zoom = d3.behavior.zoom()
.x(x)
.on("zoom", function(scale, translate){
console.log("fonction zoom");
console.log(scale); console.log(translate);
zoomed(scale, translate);
});
it is because your x axis is time.

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