Creating a zoom function in D3 - javascript

I have a function where that when a button is pressed (Several buttons the represent several animal types), that animal types SVG is updated with its corresponding data. I'm trying to replicate this zoom function but am having issues implementing it with my code. There are several SVGs that are used globally like this (one for each animal type):
let x = d3.scaleLinear()
.domain([0, 1000])
.range([ 0, width ]);
var xAxis = d3.axisBottom(x);
svgReptile.append("g")
.attr("transform", "translate(0," + height + ")")
.call(xAxis)
const yAxis = d3.scaleLinear()
.domain([0, 220])
.range([ height, 0])
svgReptile.append("g")
.call(d3.axisLeft(yAxis))
The function below is called when one of the animal buttons is pressed.
function update(animal, whatSVG, xAxis, yAxis, color) {
const points = whatSVG
.selectAll("circle")
.data(data);
points.enter()
.append("circle")
.attr("cx", function(d) {
return xAxis(d.state);
})
.attr("cy", function(d) {
return yAxis(d.percentage);
})
.merge(points)
.attr("r", 3)
.attr("cx", function(d) {
return xAxis(d.decade)
})
.attr("cy", function(d) {
return yAxis(d.count)
})
.style("fill", function (d) { return colour(d.animal) } );
points.exit()
.attr('r', 0)
.remove();
}
Question:
How can I implement a zoom feature that expands the x-axis when zoomed (or anything similar) like the one linked above?

I think you're looking for a 'brush zoom' from the last line of your question.
The following source code if from an example in a d3 graph gallery
The cross hair allows you to select an area to expand. If you follow the link there is a graph above it that is entitled "Zoom with axis" but it doesn't zoom in the way you've described, it just moves the axis, but doesn't enlarge the graph contents with it. Perhaps both will be useful!
Hope this helps
// set the dimensions and margins of the graph
var margin = {top: 10, right: 20, bottom: 20, left: 20},
width = 500 - margin.left - margin.right,
height = 400 - margin.top - margin.bottom;
// append the svg object to the body of the page
var Svg = d3.select("#brushZoom")
.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 + ")");
//Read the data
d3.csv("https://raw.githubusercontent.com/holtzy/D3-graph-gallery/master/DATA/iris.csv", function(data) {
// Add X axis
var x = d3.scaleLinear()
.domain([4, 8])
.range([ 0, width ]);
var xAxis = Svg.append("g")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x));
// Add Y axis
var y = d3.scaleLinear()
.domain([0, 9])
.range([ height, 0]);
Svg.append("g")
.call(d3.axisLeft(y));
// Add a clipPath: everything out of this area won't be drawn.
var clip = Svg.append("defs").append("svg:clipPath")
.attr("id", "clip")
.append("svg:rect")
.attr("width", width )
.attr("height", height )
.attr("x", 0)
.attr("y", 0);
// Color scale: give me a specie name, I return a color
var color = d3.scaleOrdinal()
.domain(["setosa", "versicolor", "virginica" ])
.range([ "#440154ff", "#21908dff", "#fde725ff"])
// Add brushing
var brush = d3.brushX() // Add the brush feature using the d3.brush function
.extent( [ [0,0], [width,height] ] ) // initialise the brush area: start at 0,0 and finishes at width,height: it means I select the whole graph area
.on("end", updateChart) // Each time the brush selection changes, trigger the 'updateChart' function
// Create the scatter variable: where both the circles and the brush take place
var scatter = Svg.append('g')
.attr("clip-path", "url(#clip)")
// Add circles
scatter
.selectAll("circle")
.data(data)
.enter()
.append("circle")
.attr("cx", function (d) { return x(d.Sepal_Length); } )
.attr("cy", function (d) { return y(d.Petal_Length); } )
.attr("r", 8)
.style("fill", function (d) { return color(d.Species) } )
.style("opacity", 0.5)
// Add the brushing
scatter
.append("g")
.attr("class", "brush")
.call(brush);
// A function that set idleTimeOut to null
var idleTimeout
function idled() { idleTimeout = null; }
// A function that update the chart for given boundaries
function updateChart() {
extent = d3.event.selection
// If no selection, back to initial coordinate. Otherwise, update X axis domain
if(!extent){
if (!idleTimeout) return idleTimeout = setTimeout(idled, 350); // This allows to wait a little bit
x.domain([ 4,8])
}else{
x.domain([ x.invert(extent[0]), x.invert(extent[1]) ])
scatter.select(".brush").call(brush.move, null) // This remove the grey brush area as soon as the selection has been done
}
// Update axis and circle position
xAxis.transition().duration(1000).call(d3.axisBottom(x))
scatter
.selectAll("circle")
.transition().duration(1000)
.attr("cx", function (d) { return x(d.Sepal_Length); } )
.attr("cy", function (d) { return y(d.Petal_Length); } )
}
})
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/4.13.0/d3.min.js"></script>
<div id="brushZoom"></div>

Related

How do I draw gridlines in d3.js with zoom and pan

I have been able to make a scatter plot with zoom and pan functionality where the axes scale properly and everything works well. Now I am trying to figure out how to add gridlines, but running into some issues. I have started with only adding x-axis gridlines to figure things out. I have attached a fiddle with a working example to build from.
I commented out the initial gridlines when the graph is generated, because they would remain after zooming causing clutter, and I will add them back later when I get things working. When zooming the gridlines appear to be drawn correctly, but they do not match up with the x-axis labels, and the x-axis labels disappear after zooming or panning.
If you comment out line 163 and uncomment line 164 you can see the basic graph without any gridlines. Clicking the plot button will always generate a new graph. I have left behind some commented out code of different things that I have tried from searching through stackoverflow.
Example is using d3.js - 5.9.2
JSFiddle: https://jsfiddle.net/eysLvqkh/11/
HTML:
<div id="reg_plot"></div>
<button id="b" class="myButton">plot</button>
Javascript:
var theButton = document.getElementById("b");
theButton.onclick = createSvg;
function createSvg() {
// clear old chart when 'plot' is clicked
document.getElementById('reg_plot').innerHTML = ""
// dimensions
var margin = {top: 20, right: 20, bottom: 30, left: 55},
svg_dx = 1200,
svg_dy =600,
chart_dx = svg_dx - margin.right - margin.left,
chart_dy = svg_dy - margin.top - margin.bottom;
// data
var y = d3.randomNormal(400, 100);
var x_jitter = d3.randomUniform(-100, 1400);
var d = d3.range(1000)
.map(function() {
return [x_jitter(), y()];
});
// fill
var colorScale = d3.scaleLinear()
.domain(d3.extent(d, function(d) { return d[1]; }))
.range([0, 1]);
// y position
var yScale = d3.scaleLinear()
.domain(d3.extent(d, function(d) { return d[1]; }))
.range([chart_dy, margin.top]);
// x position
var xScale = d3.scaleLinear()
.domain(d3.extent(d, function(d) { return d[0]; }))
.range([margin.right, chart_dx]);
// y-axis
var yAxis = d3.axisLeft(yScale);
// x-axis
var xAxis = d3.axisBottom(xScale);
// append svg to div element 'reg_plot' and set zoom to our function named 'zoom'
var svg = d3.select("#reg_plot")
.append("svg")
.attr("width", svg_dx)
.attr("height", svg_dy);
svg.call(d3.zoom().on("zoom", zoom));
// clip path - sets boundaries so points will not show outside of the axes when zooming/panning
var clip = svg.append("defs").append("svg:clipPath")
.attr("id", "clip")
.append("svg:rect")
.attr("id", "clip-rect")
.attr("x", "0")
.attr("y", "0")
.attr('width', chart_dx)
.attr('height', chart_dy);
// plot data
var circles = svg.append("g")
.attr("id", "circles")
.attr("transform", "translate(75, 0)")
.attr("clip-path", "url(#clip)")
.selectAll("circle")
.data(d)
.enter()
.append("circle")
.attr("r", 4)
.attr("cx", function(d) { return xScale(d[0]); })
.attr("cy", function(d) { return yScale(d[1]); })
.style("fill", function(d) {
var norm_color = colorScale(d[1]);
return d3.interpolateInferno(norm_color)
});
// add y-axis
var y_axis = svg.append("g")
.attr("id", "y_axis")
.attr("transform", "translate(75,0)")
.call(yAxis).style("font-size", "10px")
// add x-axis
var x_axis = svg.append("g")
.attr("id", "x_axis")
.attr("transform", `translate(${margin.left}, ${svg_dy - margin.bottom - margin.top})`)
.call(xAxis).style("font-size", "10px")
// add x and y grid lines
x_axis.call(xAxis.scale(xScale).ticks(20).tickSize(-chart_dy));
y_axis.call(yAxis.scale(yScale).ticks(20).tickSize(-chart_dx));
function zoom(e) {
// re-scale y axis during zoom
y_axis.transition()
.duration(50)
.call(yAxis.scale(d3.event.transform.rescaleY(yScale)));
// re-scale x axis during zoom
x_axis.transition()
.duration(50)
.call(xAxis.scale(d3.event.transform.rescaleX(xScale)));
// re-draw circles using new scales
var new_xScale = d3.event.transform.rescaleX(xScale);
var new_yScale = d3.event.transform.rescaleY(yScale);
// re-scale axes and gridlines
x_axis.call(xAxis.scale(new_xScale).ticks(20).tickSize(-chart_dy));
y_axis.call(yAxis.scale(new_yScale).ticks(20).tickSize(-chart_dx));
circles.data(d)
.attr('cx', function(d) {return new_xScale(d[0])})
.attr('cy', function(d) {return new_yScale(d[1])});
}
}
For anyone looking, I have solved this problem. I have updated the javascript in the original post, and updated the jsfiddle. If you are copying this code to your local machine where you are using d3.js 7.4.4 or higher then you need to change the lines that say d3.event.transform.... to just e.transform.

scatter plot points don't maintain value when zooming in d3.js

This is my first time using d3.js, so please bear with me. I am implementing this inside of a vue.js file as pure javascript.
I am trying to make a scatter plot with zooming capabilities. So far I have everything nearly working, but when I zoom I notice that the x-axis isn't scaling properly, but the y-axis is working properly. For instance, when looking at the original plot, a point may be at around 625 on the x-axis, but after zooming in the same point will be less than 600. This is not happening with the y-axis - those points scale properly. I am assuming that something is wrong with the scaling of the x-axis in my zoom function, but I just can't figure it out. Please take a look, and let me know if you can see where I went wrong.
Edit: I should mention that this is using d3.js version 7.4.4
<template>
<div id="reg_plot"></div>
</template>
<script>
import * as d3 from 'd3';
export default {
name: 'regCamGraph',
components: {
d3
},
methods: {
createSvg() {
// dimensions
var margin = {top: 20, right: 20, bottom: 30, left: 40},
svg_dx = 1400,
svg_dy =1000,
chart_dx = svg_dx - margin.right - margin.left,
chart_dy = svg_dy - margin.top - margin.bottom;
// data
var y = d3.randomNormal(400, 100);
var x_jitter = d3.randomUniform(-100, 1400);
var d = d3.range(1000)
.map(function() {
return [x_jitter(), y()];
});
// fill
var colorScale = d3.scaleLinear()
.domain(d3.extent(d, function(d) { return d[1]; }))
.range([0, 1]);
// y position
var yScale = d3.scaleLinear()
.domain(d3.extent(d, function(d) { return d[1]; }))
.range([chart_dy, margin.top]);
// x position
var xScale = d3.scaleLinear()
.domain(d3.extent(d, function(d) { return d[0]; }))
.range([margin.right, chart_dx]);
console.log("chart_dy: " + chart_dy);
console.log("margin.top: " + margin.top);
console.log("chart_dx: " + chart_dx);
console.log("margin.right: " + margin.right);
// y-axis
var yAxis = d3.axisLeft(yScale);
// x-axis
var xAxis = d3.axisBottom(xScale);
// zoom
var svg = d3.select("#reg_plot")
.append("svg")
.attr("width", svg_dx)
.attr("height", svg_dy);
svg.call(d3.zoom().on("zoom", zoom)); // ref [1]
// plot data
var circles = svg.append("g")
.attr("id", "circles")
.attr("transform", "translate(200, 0)")
.selectAll("circle")
.data(d)
.enter()
.append("circle")
.attr("r", 4)
.attr("cx", function(d) { return xScale(d[0]); })
.attr("cy", function(d) { return yScale(d[1]); })
.style("fill", function(d) {
var norm_color = colorScale(d[1]);
return d3.interpolateInferno(norm_color)
});
// add y-axis
var y_axis = svg.append("g")
.attr("id", "y_axis")
.attr("transform", "translate(75,0)")
.call(yAxis).style("font-size", "20px")
// add x-axis
var x_axis = svg.append("g")
.attr("id", "x_axis")
.attr("transform", `translate(${margin.left}, ${svg_dy - margin.bottom})`)
.call(xAxis).style("font-size", "20px")
function zoom(e) {
// re-scale y axis during zoom
y_axis.transition()
.duration(50)
.call(yAxis.scale(e.transform.rescaleY(yScale)));
// re-scale x axis during zoom
x_axis.transition()
.duration(50)
.call(xAxis.scale(e.transform.rescaleX(xScale)));
// re-draw circles using new y-axis scale
var new_xScale = e.transform.rescaleX(xScale);
var new_yScale = e.transform.rescaleY(yScale);
console.log(d);
x_axis.call(xAxis.scale(new_xScale));
y_axis.call(yAxis.scale(new_yScale));
circles.data(d)
.attr('cx', function(d) {return new_xScale(d[0])})
.attr('cy', function(d) {return new_yScale(d[1])});
}
}
},
mounted() {
this.createSvg();
}
}
</script>
Interestingly enough, after I set the clip region to prevent showing points outside of the axes the problem seemed to resolve itself. This is how I created the clip path:
// clip path
var clip = svg.append("defs").append("svg:clipPath")
.attr("id", "clip")
.append("svg:rect")
.attr("id", "clip-rect")
.attr("x", "0")
.attr("y", "0")
.attr('width', chart_dx)
.attr('height', chart_dy);
And I then added that attribute to the svg when plotting the data like this:
svg.append("g").attr("clip-path", "url(#clip)")
Updated clip path with plot data section:
// clip path
var clip = svg.append("defs").append("svg:clipPath")
.attr("id", "clip")
.append("svg:rect")
.attr("id", "clip-rect")
.attr("x", "0")
.attr("y", "0")
.attr('width', chart_dx)
.attr('height', chart_dy);
// plot data
var circles = svg.append("g")
.attr("id", "circles")
.attr("transform", "translate(75, 0)")
.attr("clip-path", "url(#clip)") //added here
.selectAll("circle")
.data(d)
.enter()
.append("circle")
.attr("r", 4)
.attr("cx", function(d) { return xScale(d[0]); })
.attr("cy", function(d) { return yScale(d[1]); })
.style("fill", function(d) {
var norm_color = colorScale(d[1]);
return d3.interpolateInferno(norm_color)
});
I ended up resolving this issue. I have updated the original post to show what worked for me.
Basically, after adding the clip region things started to work properly.
// clip path (this is the new clip region that I added. It prevents dots from being drawn outside of the axes.
var clip = svg.append("defs").append("svg:clipPath")
.attr("id", "clip")
.append("svg:rect")
.attr("id", "clip-rect")
.attr("x", "0")
.attr("y", "0")
.attr('width', chart_dx)
.attr('height', chart_dy);
// plot data
var circles = svg.append("g")
.attr("id", "circles")
.attr("transform", "translate(75, 0)")
.attr("clip-path", "url(#clip)") //added clip region to svg here
.selectAll("circle")
.data(d)
.enter()
.append("circle")
.attr("r", 4)
.attr("cx", function(d) { return xScale(d[0]); })
.attr("cy", function(d) { return yScale(d[1]); })
.style("fill", function(d) {
var norm_color = colorScale(d[1]);
return d3.interpolateInferno(norm_color)
});

D3 "pinning" a tick to a bar value in a chart?

I am struggling trying to solve a problem with setting the yAxis tick marks so that I can "pin" a tick to a specific value. Please bear with my explanation, I will likely butcher the d3 terminology...
First, I am using this Grouped bar chart example as my reference, so please refer to that also.
Here is an image that more or less shows what I am trying to accomplish:
I want to make the y scale a percentage, and make "12" (red line) display "100%" (as a label?) and pin that to the value of the gray bar. The other ticks would be labelled as percentages also, with a linear scale (10%, 20%, etc). As the data will change, the y axis values will also change and the "100%" label will need to always align with the data corresponding to the gray bar value.
Think of this as a reference value that I can then compare the other bars to, and those bars can exceed 100%.
I am not sure of this is helpful, but the code that sets the y domain in question is as follows:
y.domain([0, d3.max(data, function(categorie) { return d3.max(categorie.values, function(d) { return d.value; }); })]);
How can I accomplish my goal?
I hope this makes sense.
Thanks!
Currently, the y scale you pass to yAxis maps your data values to svg dimensions.
data -> svg dimensions.
If you notice the yAxis labels its ticks with the actual data values, or the domain of the scale you give it.
So all you need to do is pass it a scale with percentage in its domain that goes to svg dimensions:
percentage -> svg dimensions
Here are two ways you can do that.
1) First convert the data to percentages and then make the scale. Then you use this scale for plotting and passing to the axis.
2) Leave the plotting alone and create a third scale that maps
percentage -> height and just pass this to yAxis. Notice this works because the scales are both linear.
Modifying the example you referenced I used the second method. I pasted the code for completeness and highlighted the part I modified. Note I made the "medium value" (grey bar) in the Student set 100%.
<!DOCTYPE html>
<meta charset="utf-8">
<style>
body {
font: 10px sans-serif;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.x.axis path {
display: none;
}
</style>
<body>
<script src="https://d3js.org/d3.v3.min.js"></script>
<script>
var margin = {top: 20, right: 20, bottom: 30, left: 40},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var x0 = d3.scale.ordinal()
.rangeRoundBands([0, width], .1);
var x1 = d3.scale.ordinal();
var y = d3.scale.linear()
.range([height, 0]);
var xAxis = d3.svg.axis()
.scale(x0)
.tickSize(0)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left");
var color = d3.scale.ordinal()
.range(["#ca0020","#f4a582","#d5d5d5","#92c5de","#0571b0"]);
var svg = d3.select('body').append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
d3.json("data.json", function(error, data) {
var categoriesNames = data.map(function(d) { return d.categorie; });
var rateNames = data[0].values.map(function(d) { return d.rate; });
//=========================================================================
//=========================================================================
// Modified code here
//-------------------------------------------------------------------------
//-------------------------------------------------------------------------
//data -> percent - using the Student value of Medium to set to 100%
let dataToPercent = d3.scale.linear()
.domain( [0, data[0].values.filter( d => d.rate === "Medium" )[0].value] )
.range( [ 0, 100 ] )
// percent -> height
// Third scale just to pass to yAxis
let percentToHeight = d3.scale.linear()
.domain( [0, d3.max(data, function(categorie) {
return d3.max(categorie.values, function(d) {
return dataToPercent( d.value ); //only change is dataToPercent( d.value ) versus original return of d.value
})
})])
.range( [ height, 0] )
// set the yAxis with our new scale - use tickFormat to add percentage sign
yAxis
.scale( percentToHeight )
.tickFormat( d => d + "%" )
//add the red line
svg.append( "line" )
.attr( "x1", 0 )
.attr( "y1", percentToHeight( 100 ))
.attr( "x1", width )
.attr( "y2", percentToHeight( 100 ))
.attr( "stroke", "red" )
.attr( "stroke-width", "2px" )
//===========================================================================
//===========================================================================
// End modified code
//---------------------------------------------------------------------------
//---------------------------------------------------------------------------
x0.domain(categoriesNames);
x1.domain(rateNames).rangeRoundBands([0, x0.rangeBand()]);
y.domain([0, d3.max(data, function(categorie) { return d3.max(categorie.values, function(d) { return d.value; }); })]);
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
svg.append("g")
.attr("class", "y axis")
.style('opacity','0')
.call(yAxis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.style('font-weight','bold')
.text("Value");
svg.select('.y').transition().duration(500).delay(1300).style('opacity','1');
var slice = svg.selectAll(".slice")
.data(data)
.enter().append("g")
.attr("class", "g")
.attr("transform",function(d) { return "translate(" + x0(d.categorie) + ",0)"; });
slice.selectAll("rect")
.data(function(d) { return d.values; })
.enter().append("rect")
.attr("width", x1.rangeBand())
.attr("x", function(d) { return x1(d.rate); })
.style("fill", function(d) { return color(d.rate) })
.attr("y", function(d) { return y(0); })
.attr("height", function(d) { return height - y(0); })
.on("mouseover", function(d) {
d3.select(this).style("fill", d3.rgb(color(d.rate)).darker(2));
})
.on("mouseout", function(d) {
d3.select(this).style("fill", color(d.rate));
});
slice.selectAll("rect")
.transition()
.delay(function (d) {return Math.random()*1000;})
.duration(1000)
.attr("y", function(d) { return y(d.value); })
.attr("height", function(d) { return height - y(d.value); });
//Legend
var legend = svg.selectAll(".legend")
.data(data[0].values.map(function(d) { return d.rate; }).reverse())
.enter().append("g")
.attr("class", "legend")
.attr("transform", function(d,i) { return "translate(0," + i * 20 + ")"; })
.style("opacity","0");
legend.append("rect")
.attr("x", width - 18)
.attr("width", 18)
.attr("height", 18)
.style("fill", function(d) { return color(d); });
legend.append("text")
.attr("x", width - 24)
.attr("y", 9)
.attr("dy", ".35em")
.style("text-anchor", "end")
.text(function(d) {return d; });
legend.transition().duration(500).delay(function(d,i){ return 1300 + 100 * i; }).style("opacity","1");
});
</script>
This sets the 100% to the first grey bar, but you could extend this set each grey bar as 100% for its associated values, and then make the xaxis update on hover or something.
As to the red line, just append it to the svg (or any g element) with d3.append and modify its position as appropriate.

New, larger datasets on line chart do not transition onto SVG, they instantly appear

I am trying to emulate the animated/transitioned line chart shown in this demo (without the dots). I am furthermore trying to use it in a react component where the update method can be called by another component, making the d3 stuff kind of like helper functions and not just run top to bottom as the demo does.
The problem is that when the x-axis (date range) increases, the line/data associated with the newly added dates, do not "animate in": they appear on the chart instantly. This has an effect where the line that is already there animates to its new position, and moves across the newly-appeared line, making an ugly overlap for about half a second.
You can see this if you press the Update button on the CodeSandbox here. It is randomly generated dummy data, so you may have to click it a few times to see the effect.
How can I smoothly apply the transition to the new data?
Relevant D3 code:
import * as d3 from 'd3';
var line;
var svg;
var plotLine;
var xScale, yScale;
var xAxis, yAxis;
var parseTime = d3.timeParse('%d-%b-%y');
var displayDateFormat = '%d-%b-20%y';
function transormData(datum) {
return {
date: parseTime(datum.date),
close: parseInt(datum.close, 10)
};
}
export default function sharedChartFn(firstRun, data) {
data = data.map(transormData);
var margin = {
top: 20,
right: 20,
bottom: 30,
left: 50
},
width = 800 - margin.left - margin.right,
height = 400 - margin.top - margin.bottom;
xScale = d3
.scaleLinear()
.range([0, width])
.domain(
d3.extent(data, function(d) {
return d.date;
})
)
.nice();
yScale = d3
.scaleLinear()
.range([height, 0])
.domain(
d3.extent(data, function(d) {
return d.close;
})
)
.nice();
xAxis = d3.axisBottom(xScale).ticks(12);
yAxis = d3.axisLeft(yScale).ticks((12 * height) / width);
plotLine = d3
.line()
.curve(d3.curveMonotoneX)
.x(function(d) {
return xScale(d.date);
})
.y(function(d) {
return yScale(d.close);
});
svg = d3
.select('#plot')
.append('svg')
.attr('width', width + margin.left + margin.right)
.attr('height', height + margin.top + margin.bottom);
svg
.append('g')
.attr('class', 'x axis ')
.attr('id', 'axis--x')
.attr(
'transform',
'translate(' + margin.left + ',' + (height + margin.top) + ')'
)
.call(xAxis.tickFormat(d3.timeFormat(displayDateFormat)));
svg
.append('g')
.attr('class', 'y axis')
.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')')
.attr('id', 'axis--y')
.call(yAxis);
line = svg
.append('g')
.append('path')
.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')')
.datum(data)
.attr('d', plotLine)
.style('fill', 'none')
.style('stroke', 'brown');
}
function update(newData) {
newData = newData.map(transormData);
console.log('parsed', newData);
debugger;
xScale
.domain(
d3.extent(newData, function(d) {
return d.date;
})
)
.nice();
yScale
.domain(
d3.extent(newData, function(d) {
return d.close;
})
)
.nice();
xAxis = d3.axisBottom(xScale); //.ticks(12);
yAxis = d3.axisLeft(yScale); // .ticks((12 * height) / width);
svg
.select('.x')
.transition()
.duration(750)
.call(xAxis.tickFormat(d3.timeFormat(displayDateFormat)));
svg
.select('.y')
.transition()
.duration(750)
.call(yAxis);
line
.datum(newData)
.transition()
.duration(750)
.attr('d', plotLine)
.style('fill', 'none')
.style('stroke-width', '2px');
}
export { update };
The animation is done on the generated path attributes. If you have more points in the update they are not animated but drawn at the correct location.
Solution: draw the new points on the old xScale/yScale. Now the path has the same amount of numbers. Change the xScale/yScale. Animate the line to these new scales.
function update(newData) {
newData = newData.map(transormData);
line
.datum(newData)
.attr('d', plotLine)
.style('fill', 'none')
.style('stroke-width', '2px');
console.log('parsed', newData);
.....
// change scales
....
line
.transition()
.duration(750)
.attr('d', plotLine);
}

d3.js Multi-series line chart interactive (tsv into literal data)

I have a question. How should I redo this example (http://bl.ocks.org/DStruths/9c042e3a6b66048b5bd4) which uses a .tsv file to instead utilize a script with literal data?
So far I have done the following: http://codepen.io/Balzzac/pen/MJorXw?editors=0010 , but nothing works.
My code:
var dataset = [here is 15000 raws of original data converted into JSON, using http://codebeautify.org/tsv-to-json-converter]
var margin = {top: 20, right: 200, bottom: 100, left: 50},
margin2 = { top: 430, right: 10, bottom: 20, left: 40 },
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom,
height2 = 500 - margin2.top - margin2.bottom;
var parseDate = d3.time.format("%Y%m%d").parse;
var bisectDate = d3.bisector(function(d) { return d.date; }).left;
var xScale = d3.time.scale()
.range([0, width]),
xScale2 = d3.time.scale()
.range([0, width]); // Duplicate xScale for brushing ref later
var yScale = d3.scale.linear()
.range([height, 0]);
// 40 Custom DDV colors
var color = d3.scale.ordinal().range(["#48A36D", "#56AE7C", "#64B98C", "#72C39B", "#80CEAA", "#80CCB3", "#7FC9BD", "#7FC7C6", "#7EC4CF", "#7FBBCF", "#7FB1CF", "#80A8CE", "#809ECE", "#8897CE", "#8F90CD", "#9788CD", "#9E81CC", "#AA81C5", "#B681BE", "#C280B7", "#CE80B0", "#D3779F", "#D76D8F", "#DC647E", "#E05A6D", "#E16167", "#E26962", "#E2705C", "#E37756", "#E38457", "#E39158", "#E29D58", "#E2AA59", "#E0B15B", "#DFB95C", "#DDC05E", "#DBC75F", "#E3CF6D", "#EAD67C", "#F2DE8A"]);
var xAxis = d3.svg.axis()
.scale(xScale)
.orient("bottom"),
xAxis2 = d3.svg.axis() // xAxis for brush slider
.scale(xScale2)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(yScale)
.orient("left");
var line = d3.svg.line()
.interpolate("basis")
.x(function(d) { return xScale(d.date); })
.y(function(d) { return yScale(d.rating); })
.defined(function(d) { return d.rating; }); // Hiding line value defaults of 0 for missing data
var maxY; // Defined later to update yAxis
var svg = d3.select("body").append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom) //height + margin.top + margin.bottom
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
// Create invisible rect for mouse tracking
svg.append("rect")
.attr("width", width)
.attr("height", height)
.attr("x", 0)
.attr("y", 0)
.attr("id", "mouse-tracker")
.style("fill", "white");
//for slider part-----------------------------------------------------------------------------------
var context = svg.append("g") // Brushing context box container
.attr("transform", "translate(" + 0 + "," + 410 + ")")
.attr("class", "context");
//append clip path for lines plotted, hiding those part out of bounds
svg.append("defs")
.append("clipPath")
.attr("id", "clip")
.append("rect")
.attr("width", width)
.attr("height", height);
//end slider part-----------------------------------------------------------------------------------
// d3.tsv("data.tsv", function(error, data)
function render(data){
color.domain(d3.keys(data[0]).filter(function(key) { // Set the domain of the color ordinal scale to be all the csv headers except "date", matching a color to an issue
return key !== "date";
}));
data.forEach(function(d) { // Make every date in the csv data a javascript date object format
d.date = parseDate(d.date);
});
var categories = color.domain().map(function(name) { // Nest the data into an array of objects with new keys
return {
name: name, // "name": the csv headers except date
values: data.map(function(d) { // "values": which has an array of the dates and ratings
return {
date: d.date,
rating: +(d[name]),
};
}),
visible: (name === "Unemployment" ? true : false) // "visible": all false except for economy which is true.
};
});
xScale.domain(d3.extent(data, function(d) { return d.date; })); // extent = highest and lowest points, domain is data, range is bouding box
yScale.domain([0, 100
//d3.max(categories, function(c) { return d3.max(c.values, function(v) { return v.rating; }); })
]);
xScale2.domain(xScale.domain()); // Setting a duplicate xdomain for brushing reference later
//for slider part-----------------------------------------------------------------------------------
var brush = d3.svg.brush()//for slider bar at the bottom
.x(xScale2)
.on("brush", brushed);
context.append("g") // Create brushing xAxis
.attr("class", "x axis1")
.attr("transform", "translate(0," + height2 + ")")
.call(xAxis2);
var contextArea = d3.svg.area() // Set attributes for area chart in brushing context graph
.interpolate("monotone")
.x(function(d) { return xScale2(d.date); }) // x is scaled to xScale2
.y0(height2) // Bottom line begins at height2 (area chart not inverted)
.y1(0); // Top line of area, 0 (area chart not inverted)
//plot the rect as the bar at the bottom
context.append("path") // Path is created using svg.area details
.attr("class", "area")
.attr("d", contextArea(categories[0].values)) // pass first categories data .values to area path generator
.attr("fill", "#F1F1F2");
//append the brush for the selection of subsection
context.append("g")
.attr("class", "x brush")
.call(brush)
.selectAll("rect")
.attr("height", height2) // Make brush rects same height
.attr("fill", "#E6E7E8");
//end slider part-----------------------------------------------------------------------------------
// draw line graph
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("x", -10)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("Issues Rating");
var issue = svg.selectAll(".issue")
.data(categories) // Select nested data and append to new svg group elements
.enter().append("g")
.attr("class", "issue");
issue.append("path")
.attr("class", "line")
.style("pointer-events", "none") // Stop line interferring with cursor
.attr("id", function(d) {
return "line-" + d.name.replace(" ", "").replace("/", ""); // Give line id of line-(insert issue name, with any spaces replaced with no spaces)
})
.attr("d", function(d) {
return d.visible ? line(d.values) : null; // If array key "visible" = true then draw line, if not then don't
})
.attr("clip-path", "url(#clip)")//use clip path to make irrelevant part invisible
.style("stroke", function(d) { return color(d.name); });
// draw legend
var legendSpace = 450 / categories.length; // 450/number of issues (ex. 40)
issue.append("rect")
.attr("width", 10)
.attr("height", 10)
.attr("x", width + (margin.right/3) - 15)
.attr("y", function (d, i) { return (legendSpace)+i*(legendSpace) - 8; }) // spacing
.attr("fill",function(d) {
return d.visible ? color(d.name) : "#F1F1F2"; // If array key "visible" = true then color rect, if not then make it grey
})
.attr("class", "legend-box")
.on("click", function(d){ // On click make d.visible
d.visible = !d.visible; // If array key for this data selection is "visible" = true then make it false, if false then make it true
maxY = findMaxY(categories); // Find max Y rating value categories data with "visible"; true
yScale.domain([0,maxY]); // Redefine yAxis domain based on highest y value of categories data with "visible"; true
svg.select(".y.axis")
.transition()
.call(yAxis);
issue.select("path")
.transition()
.attr("d", function(d){
return d.visible ? line(d.values) : null; // If d.visible is true then draw line for this d selection
})
issue.select("rect")
.transition()
.attr("fill", function(d) {
return d.visible ? color(d.name) : "#F1F1F2";
});
})
.on("mouseover", function(d){
d3.select(this)
.transition()
.attr("fill", function(d) { return color(d.name); });
d3.select("#line-" + d.name.replace(" ", "").replace("/", ""))
.transition()
.style("stroke-width", 2.5);
})
.on("mouseout", function(d){
d3.select(this)
.transition()
.attr("fill", function(d) {
return d.visible ? color(d.name) : "#F1F1F2";});
d3.select("#line-" + d.name.replace(" ", "").replace("/", ""))
.transition()
.style("stroke-width", 1.5);
})
issue.append("text")
.attr("x", width + (margin.right/3))
.attr("y", function (d, i) { return (legendSpace)+i*(legendSpace); }) // (return (11.25/2 =) 5.625) + i * (5.625)
.text(function(d) { return d.name; });
// Hover line
var hoverLineGroup = svg.append("g")
.attr("class", "hover-line");
var hoverLine = hoverLineGroup // Create line with basic attributes
.append("line")
.attr("id", "hover-line")
.attr("x1", 10).attr("x2", 10)
.attr("y1", 0).attr("y2", height + 10)
.style("pointer-events", "none") // Stop line interferring with cursor
.style("opacity", 1e-6); // Set opacity to zero
var hoverDate = hoverLineGroup
.append('text')
.attr("class", "hover-text")
.attr("y", height - (height-40)) // hover date text position
.attr("x", width - 150) // hover date text position
.style("fill", "#E6E7E8");
var columnNames = d3.keys(data[0]) //grab the key values from your first data row
//these are the same as your column names
.slice(1); //remove the first column name (`date`);
var focus = issue.select("g") // create group elements to house tooltip text
.data(columnNames) // bind each column name date to each g element
.enter().append("g") //create one <g> for each columnName
.attr("class", "focus");
focus.append("text") // http://stackoverflow.com/questions/22064083/d3-js-multi-series-chart-with-y-value-tracking
.attr("class", "tooltip")
.attr("x", width + 20) // position tooltips
.attr("y", function (d, i) { return (legendSpace)+i*(legendSpace); }); // (return (11.25/2 =) 5.625) + i * (5.625) // position tooltips
// Add mouseover events for hover line.
d3.select("#mouse-tracker") // select chart plot background rect #mouse-tracker
.on("mousemove", mousemove) // on mousemove activate mousemove function defined below
.on("mouseout", function() {
hoverDate
.text(null) // on mouseout remove text for hover date
d3.select("#hover-line")
.style("opacity", 1e-6); // On mouse out making line invisible
});
function mousemove() {
var mouse_x = d3.mouse(this)[0]; // Finding mouse x position on rect
var graph_x = xScale.invert(mouse_x); //
//var mouse_y = d3.mouse(this)[1]; // Finding mouse y position on rect
//var graph_y = yScale.invert(mouse_y);
//console.log(graph_x);
var format = d3.time.format('%b %Y'); // Format hover date text to show three letter month and full year
hoverDate.text(format(graph_x)); // scale mouse position to xScale date and format it to show month and year
d3.select("#hover-line") // select hover-line and changing attributes to mouse position
.attr("x1", mouse_x)
.attr("x2", mouse_x)
.style("opacity", 1); // Making line visible
// Legend tooltips // http://www.d3noob.org/2014/07/my-favourite-tooltip-method-for-line.html
var x0 = xScale.invert(d3.mouse(this)[0]), /* d3.mouse(this)[0] returns the x position on the screen of the mouse. xScale.invert function is reversing the process that we use to map the domain (date) to range (position on screen). So it takes the position on the screen and converts it into an equivalent date! */
i = bisectDate(data, x0, 1), // use our bisectDate function that we declared earlier to find the index of our data array that is close to the mouse cursor
/*It takes our data array and the date corresponding to the position of or mouse cursor and returns the index number of the data array which has a date that is higher than the cursor position.*/
d0 = data[i - 1],
d1 = data[i],
/*d0 is the combination of date and rating that is in the data array at the index to the left of the cursor and d1 is the combination of date and close that is in the data array at the index to the right of the cursor. In other words we now have two variables that know the value and date above and below the date that corresponds to the position of the cursor.*/
d = x0 - d0.date > d1.date - x0 ? d1 : d0;
/*The final line in this segment declares a new array d that is represents the date and close combination that is closest to the cursor. It is using the magic JavaScript short hand for an if statement that is essentially saying if the distance between the mouse cursor and the date and close combination on the left is greater than the distance between the mouse cursor and the date and close combination on the right then d is an array of the date and close on the right of the cursor (d1). Otherwise d is an array of the date and close on the left of the cursor (d0).*/
//d is now the data row for the date closest to the mouse position
focus.select("text").text(function(columnName){
//because you didn't explictly set any data on the <text>
//elements, each one inherits the data from the focus <g>
return (d[columnName]);
});
};
//for brusher of the slider bar at the bottom
function brushed() {
xScale.domain(brush.empty() ? xScale2.domain() : brush.extent()); // If brush is empty then reset the Xscale domain to default, if not then make it the brush extent
svg.select(".x.axis") // replot xAxis with transition when brush used
.transition()
.call(xAxis);
maxY = findMaxY(categories); // Find max Y rating value categories data with "visible"; true
yScale.domain([0,maxY]); // Redefine yAxis domain based on highest y value of categories data with "visible"; true
svg.select(".y.axis") // Redraw yAxis
.transition()
.call(yAxis);
issue.select("path") // Redraw lines based on brush xAxis scale and domain
.transition()
.attr("d", function(d){
return d.visible ? line(d.values) : null; // If d.visible is true then draw line for this d selection
});
};
}; // End Data callback function
function findMaxY(data){ // Define function "findMaxY"
var maxYValues = data.map(function(d) {
if (d.visible){
return d3.max(d.values, function(value) { // Return max rating value
return value.rating; })
}
});
return d3.max(maxYValues);
}
render(dataset);
date should be a string. Thanks to:
https://github.com/d3/d3/issues/2543

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