Here is my issue: I have a map SVG and a bar Graph SVG. I want to create a coordinated selection. For instance, the user highlights a bar in the graph and the country on the map corresponding to that data is also highlighted and Vice Versa.
Right now I can highlight any country on the map and the proper corresponding bar will also highlight. However, the same does not work for the bars. When I highlight a bar, a random country is highlighted and after that the country names, as displayed in a tooltip, are all jumbled and wrong.
Here is the map -> bar graph highlight:
...
map.selectAll("countries")
.data(b.features)
.enter()
.append("path")
.attr("d", path)
//.style("stroke", "black")
.on("mouseover", function(d) {
activeDistrict = d.properties.ADMIN,
chart.selectAll("rect")
.each(function(d) {
if(d){
if (d.Country == activeDistrict){
console.log("confirmed" + d.Country)
d3.select(this).style("stroke", "blue").style("stroke-width", "3");
}
}
})
...
Here is the bar graph -> map highlight. This is the function I cannot get to behave properly.
var bars = chart.selectAll(".bars")
.data(data)
.enter()
.append("rect")
.on("mouseover", function(d) {
activeDistrict = d.Country,
//console.log(activeDistrict),
map.selectAll("path")
.data(b.features)
.each(function(d) {
if (d){
//console.log("activeDistrict = " + activeDistrict)
if (d.properties.ADMIN == activeDistrict){
d3.select(this).style("stroke", "blue").style("stroke-width", "3");
console.log(d.properties.ADMIN + "=" + activeDistrict)
}
}
});
And here is my entire JS:
<script>
window.onload = setMap();
function setMap(){
d3.csv("/data/blah.csv").then(function(data) {
//console.log(data);
d3.json("/data/blah.topojson").then(function(data2) {
//console.log(data2);
//Code with data here
var width = window.innerWidth * 0.5, // 960
height = 460;
var activeDistrict;
//chart vars
var chartWidth = window.innerWidth * 0.425,
chartHeight = 473,
leftPadding = 25,
rightPadding = 2,
topBottomPadding = 5,
chartInnerWidth = chartWidth - leftPadding - rightPadding,
chartInnerHeight = chartHeight - topBottomPadding * 2,
translate = "translate(" + leftPadding + "," + topBottomPadding + ")";
var yScale = d3.scaleLinear()
.range([0, chartHeight])
.domain([0, 2000]);
//create new svg container for the map
var map = d3.select("body")
.append("svg")
.attr("class", "map")
.attr("width", width)
.attr("height", height);
//create new svg container for the chart
var chart = d3.select("body")
.append("svg")
.attr("width", chartWidth)
.attr("height", chartHeight)
.attr("class", "chart");
//create Albers equal area conic projection centered on France
var projection = d3.geoNaturalEarth1()
.center([0, 0])
.rotate([-2, 0, 0])
//.parallels([43, 62])
.scale(175)
.translate([width / 2, height / 2]);
var path = d3.geoPath()
.projection(projection);
//translate TopoJSON
d3.selectAll(".boundary")
.style("stroke-width", 1 / 1);
var b = topojson.feature(data2, data2.objects.ne_10m_admin_0_countries);
//console.log(b)
//console.log(b.features[1].properties.ADMIN) //country name
var graticule = d3.geoGraticule();
var attrArray = ["blah blah blah"];
function joinData(b, data){
//loop through csv to assign each set of csv attribute values to geojson region
for (var i=0; i<data.length; i++){
var csvRegion = data[i]; //the current region
var csvKey = data[i].Country; //the CSV primary key
//console.log(data[i].Country)
//loop through geojson regions to find correct region
for (var a=0; a<b.features.length; a++){
var geojsonProps = b.features[a].properties; //gj props
var geojsonKey = geojsonProps.ADMIN; //the geojson primary key
//where primary keys match, transfer csv data to geojson properties object
if (geojsonKey == csvKey){
//assign all attributes and values
attrArray.forEach(function(attr){
var val = parseFloat(csvRegion[attr]); //get csv attribute value
geojsonProps[attr] = val; //assign attribute and value to geojson properties
});
};
};
};
return b;
};
joinData(b,data);
var tooltip = d3.select("body").append("div")
.attr("class", "tooltip")
.style("opacity", 0);
//Dynamically Call the current food variable to change the map
var currentFood = "Beef2";
var valArray = [];
data.forEach(function(element) {
valArray.push(parseInt(element[currentFood]));
});
var currentMax = Math.max.apply(null, valArray.filter(function(n) { return !isNaN(n); }));
console.log("Current Max Value is " + currentMax + " for " + currentFood)
var color = d3.scaleQuantile()
.domain(d3.range(0, (currentMax + 10)))
.range(d3.schemeReds[7]);
function drawMap(currentMax){
d3.selectAll("path").remove();
// Going to need to do this dynamically
// Set to ckmeans
var color = d3.scaleQuantile()
.domain(d3.range(0, currentMax))
.range(d3.schemeReds[7]);
//console.log(b[1].Beef1)
map.append("path")
.datum(graticule)
.attr("class", "graticule")
.attr("d", path);
map.append("path")
.datum(graticule.outline)
.attr("class", "graticule outline")
.attr("d", path);
console.log(map.selectAll("path").size())
map.selectAll("countries")
.data(b.features)
.enter()
.append("path")
.attr("d", path)
//.style("stroke", "black")
.on("mouseover", function(d) {
activeDistrict = d.properties.ADMIN,
chart.selectAll("rect")
.each(function(d) {
if(d){
//console.log("activeDistrict = " + activeDistrict)
if (d.Country == activeDistrict){
console.log("confirmed" + d.Country)
d3.select(this).style("stroke", "blue").style("stroke-width", "3");
}
}
})
tooltip.transition() //(this.parentNode.appendChild(this))
.duration(200)
.style("opacity", .9)
.style("stroke-opacity", 1.0);
tooltip.html(d.properties.ADMIN + "<br/>" + d.properties[currentFood] + "(kg/CO2/Person/Year)")
.style("left", (d3.event.pageX) + "px")
.style("top", (d3.event.pageY - 28) + "px");
})
.on("mouseout", function(d) {
activeDistrict = d.properties.ADMIN,
chart.selectAll("rect")
.each(function(d) {
if (d){
//console.log("activeDistrict = " + activeDistrict)
if (d.Country == activeDistrict){
d3.select(this).style("stroke", "none").style("stroke-width", "0");
}
}
})
tooltip.transition()
.duration(500)
.style("opacity", 0)
.style("stroke-opacity", 0);
})
.style("fill", function(d) { return color(d.properties[currentFood]) });
};
drawMap(currentMax);
console.log("sum", d3.sum(valArray))
//console.log(map.selectAll("path")._groups[0][200].__data__.properties.ADMIN)
function setChart(data, data2, currentMax, valArray){
d3.selectAll("rect").remove();
d3.selectAll("text").remove();
var color = d3.scaleQuantile()
.domain(d3.range(0, (currentMax + 10)))
.range(d3.schemeReds[7]);
var chartBackground = chart.append("rect2")
.attr("class", "chartBackground")
.attr("width", chartInnerWidth)
.attr("height", chartInnerHeight)
.attr("transform", translate);
var yScale = d3.scaleLinear()
.range([0, chartHeight])
.domain([0, (currentMax+10)]);
var chartTitle = chart.append("text")
.attr("x", 20)
.attr("y", 40)
.attr("class", "chartTitle")
.text(currentFood.slice(0, -1));
var chartSub = chart.append("text")
.attr("x", 20)
.attr("y", 90)
.attr("class", "chartSub")
.text((d3.sum(valArray)*76) + " Billion World Total");
// Place Axis at some point
var bars = chart.selectAll(".bars")
.data(data)
.enter()
.append("rect")
.on("mouseover", function(d) {
activeDistrict = d.Country,
//console.log(activeDistrict),
map.selectAll("path")
.data(b.features)
.each(function(d) {
if (d){
//console.log("activeDistrict = " + activeDistrict)
if (d.properties.ADMIN == activeDistrict){
d3.select(this).style("stroke", "blue").style("stroke-width", "3");
console.log(d.properties.ADMIN + "=" + activeDistrict)
}
}
});
tooltip.transition() //(this.parentNode.appendChild(this))
.duration(200)
.style("opacity", .9)
.style("stroke-opacity", 1.0);
tooltip.html(d.Country + "<br/>" + d[currentFood] + "(kg/CO2/Person/Year)")
.style("left", (d3.event.pageX) + "px")
.style("top", (d3.event.pageY - 28) + "px");
})
.on("mouseout", function(d) {
map.selectAll("path")
.data(b.features)
.each(function(d) {
if (d){
//console.log("activeDistrict = " + activeDistrict)
if (d.properties.ADMIN == activeDistrict){
d3.select(this).style("stroke", "none").style("stroke-width", "0");
console.log(d.properties.ADMIN + "=" + activeDistrict)
}
}
});
tooltip.transition()
.duration(500)
.style("opacity", 0)
.style("stroke-opacity", 0);
})
.sort(function(a, b){
return a[currentFood]-b[currentFood]
})
.transition() //add animation
.delay(function(d, i){
return i * 5
})
.duration(1)
.attr("class", function(d){
return "bars" + d.Country;
})
.attr("width", chartWidth / data.length - 1)
.attr("x", function(d, i){
return i * (chartWidth / data.length);
})
.attr("height", function(d){
return yScale(parseFloat(d[currentFood]));
})
.attr("y", function(d){
return chartHeight - yScale(parseFloat(d[currentFood]));
})
.style("fill", function(d){ return color(d[currentFood]); });
};
setChart(data, data2, currentMax, valArray);
function createDropdown(data){
//add select element
var dropdown = d3.select("body")
.append("select")
.attr("class", "dropdown")
.on("change", function(){
changeAttribute(this.value, data)
});
//add initial option
var titleOption = dropdown.append("option")
.attr("class", "titleOption")
.attr("disabled", "true")
.text("Select Attribute");
//add attribute name options
var attrOptions = dropdown.selectAll("attrOptions")
.data(attrArray)
.enter()
.append("option")
.attr("value", function(d){ return d })
.text(function(d){ return d });
};
createDropdown(data);
function changeAttribute(attribute, data){
//change the expressed attribute
currentFood = attribute;
var valArray = [];
data.forEach(function(element) {
valArray.push(parseInt(element[currentFood]));
});
var currentMax = Math.max.apply(null, valArray.filter(function(n) { return !isNaN(n); }));
console.log("Current Max Value is " + currentMax + " for " + currentFood)
// Set a dynamic color range
var color = d3.scaleQuantile()
.domain(d3.range(0, currentMax))
.range(d3.schemeReds[7]);
//recolor enumeration units
drawMap(currentMax);
//reset chart bars
setChart(data, data2, currentMax, valArray);
};
}); //csv
}); //json
}; // end of setmap
When drawing countries initially you use:
map.selectAll("countries")
.data(b.features)
.enter()
.append("path")
As there are no elements with the tag countries on your page, the initial selection is empty, and .enter().append("path") creates a path for each item in your data array.
But when you do a mouseover on the bars you re-assign the data with a selectAll().data() sequence, but you do it a bit differently:
map.selectAll("path")
.data(b.features)
...
There are paths in your map that aren't countries: the graticule and the outline. Now we've selected all the paths and assigned new data to them. Since the first two items in the selection are the graticule and the outline they now have the data of the first two items in the data array. All the countries will have bound data of a country that is two away from them in the data array. This is why the wrong data will be highlighted when mouseovering the bars and afterwards why the country tooltips are wrong.
It is not clear why you update the data (I don't see it changing), you could append the countries as so:
var countries = map.selectAll("countries")
.data(b.features)
.enter()
.append("path")
... continue as before
or
map.selectAll("countries")
.data(b.features)
.enter()
.append("path")
.attr("class","country")
... continue as before
And then in the mouseover function of the bars use:
countries.each(....
or
map.selectAll(".country").each(...
Either way still lets you update the data with .data() if needed.
I'll note that the each method isn't necessary, but may be preferable in some situations, by the looks of it you could use:
var bars = chart.selectAll(".bars")
.data(data)
.enter()
.append("rect")
.on("mouseover", function(d) {
activeDistrict = d.Country,
map.selectAll(".country")
.data(b.features)
.style("stroke", function(d) {
if (d.properties.ADMIN == activeDistrict) return "blue"; else return color(d.properties[currentFood])
})
.style("stroke-width", function(d) {
if (d.properties.ADMIN == activeDistrict) return "3" else return 0;
});
})
...
You might try the following to be a bit more consistent in what you create and what you select.
The map:
select by class because you have more path in the svg
add a class to the bar to highlight instead of setting a style
map.selectAll(".countries")
.data(b.features)
.enter()
.append("path")
.attr("class", "countries")
.attr("d", path)
//.style("stroke", "black")
.on("mouseover", function(d) {
activeDistrict = d.properties.ADMIN,
chart.selectAll(".bars")
.classed("highlight", function(d) {
return d && d.Country === activeDistrict;
});
tooltip.transition() //(this.parentNode.appendChild(this))
.duration(200)
.style("opacity", .9)
.style("stroke-opacity", 1.0);
tooltip.html(d.properties.ADMIN + "<br/>" + d.properties[currentFood] + "(kg/CO2/Person/Year)")
.style("left", (d3.event.pageX) + "px")
.style("top", (d3.event.pageY - 28) + "px");
})
.on("mouseout", function(d) {
activeDistrict = d.properties.ADMIN,
chart.selectAll(".bars")
.classed("highlight", false);
tooltip.transition()
.duration(500)
.style("opacity", 0)
.style("stroke-opacity", 0);
})
.style("fill", function(d) { return color(d.properties[currentFood]) });
};
Drawing of the bars
fix the class, add a space between the bars and country
do not bind new data to the map paths on mouse over and mouse out
select map paths by class not by type
add a class to the map path to highlight instead of setting a style
var bars = chart.selectAll(".bars")
.data(data)
.enter()
.append("rect")
.on("mouseover", function(d) {
activeDistrict = d.Country;
//console.log(activeDistrict),
map.selectAll(".countries")
.classed("highlight", function(d) {
return d && d.properties.ADMIN === activeDistrict;
});
tooltip.transition() //(this.parentNode.appendChild(this))
.duration(200)
.style("opacity", .9)
.style("stroke-opacity", 1.0);
tooltip.html(d.Country + "<br/>" + d[currentFood] + "(kg/CO2/Person/Year)")
.style("left", (d3.event.pageX) + "px")
.style("top", (d3.event.pageY - 28) + "px");
})
.on("mouseout", function(d) {
map.selectAll(".countries")
.classed("highlight", false);
tooltip.transition()
.duration(500)
.style("opacity", 0)
.style("stroke-opacity", 0);
})
.sort(function(a, b){
return a[currentFood]-b[currentFood]
})
.transition() //add animation
.delay(function(d, i){
return i * 5
})
.duration(1)
.attr("class", function(d){
return "bars " + d.Country;
})
.attr("width", chartWidth / data.length - 1)
.attr("x", function(d, i){
return i * (chartWidth / data.length);
})
.attr("height", function(d){
return yScale(parseFloat(d[currentFood]));
})
.attr("y", function(d){
return chartHeight - yScale(parseFloat(d[currentFood]));
})
.style("fill", function(d){ return color(d[currentFood]); });
Related
I've got a line chart that needs circles on every other point for column A and C (not for column B). I've struggled to figure out how to do it. This is my line chart without the circles:
date,A=count,A=rank,B=count,B=rank,C=count,C=rank
2016-11-01,60588,213,51915,46,41200,10
2016-12-01,73344,216,58536,47,41230,10
2017-01-01,64164,219,53203,50,51220,12
2017-02-01,85295,224,34047,52,61000,15
2017-03-01,86089,226,44636,54,71200,16
2017-04-01,96871,230,55281,55,71000,10
2017-05-01,97622,234,85879,55,67900,10
I've tried dozens of solutions and I'm very stuck! Here is one of the things I've tried:
linesAndDots.selectAll("line-circle")
.data(data)
.enter().append("circle")
.attr("class", "data-circle")
.attr("r", 5)
.attr("cx", function(d) { return xScale(d.date); })
.attr("cy", function(d) { return yScale(d.measurement); });
But that is giving back NaN for the cx and cy values.
My full code looks like this:
<!DOCTYPE html>
<meta charset="utf-8">
<head>
<style>
path.line-0 {
fill: none;
stroke: #1F77B4;
}
path.line-1 {
fill: none;
stroke: #FF7F0E;
}
</style>
</head>
<!-- Body tag is where we will append our SVG and SVG objects-->
<body>
</body>
<!-- Load in the d3 library -->
<script src="lib/d3.v5.min.js"></script>
<div id="svgdiv"></div>
<script>
//------------------------1. PREPARATION------------------------//
//-----------------------------SVG------------------------------//
var columns=['A=count','B=count'];
var columnsB=['A=rank','B=rank'];
var width = 960;
var height = 500;
var margin = 5;
var padding = 5;
var adj = 75;
// we are appending SVG first
var svg = d3.select("body").append("svg")
.attr("preserveAspectRatio", "xMinYMin meet")
.attr("viewBox", "-"
+ adj + " -"
+ adj + " "
+ (width + adj *3) + " "
+ (height + adj*3))
.style("padding", padding)
.style("margin", margin)
.classed("svg-content", true);
//-----------------------------DATA-----------------------------//
var timeConv = d3.timeParse("%Y-%m-%d");
var formatTime = d3.timeFormat("%b %y")
var dataset = d3.csv("toShare.csv");
dataset.then(function(data) {
console.log(data.columns.slice(1))
var slices = columns.map(function(id) {
return {
id: id,
values: data.map(function(d){
return {
date: timeConv(d.date),
measurement: +d[id]
};
})
};
})
//----------------------------SCALES----------------------------//
var xScale = d3.scaleTime().range([0,width]);
var yScale = d3.scaleLinear().rangeRound([height, 0]);
xScale.domain(d3.extent(data, function(d){
return timeConv(d.date)}));
yScale.domain([(0), d3.max(slices, function(c) {
return d3.max(c.values, function(d) {
return d.measurement + 4; });
})
]);
//-----------------------------AXES-----------------------------//
var yaxis = d3.axisLeft()
.ticks(9)
.scale(yScale);
var xaxis = d3.axisBottom()
.ticks(7)
.scale(xScale);
//----------------------------LINES-----------------------------//
var line = d3.line()
.x(function(d) { return xScale(d.date); })
.y(function(d) { return yScale(d.measurement); });
let id = 0;
var ids = function () {
return "line-"+id++;
}
//-------------------------2. DRAWING---------------------------//
//-----------------------------AXES-----------------------------//
svg.append("g")
.attr("class", "axis")
.attr("transform", "translate(0," + height + ")")
.call(xaxis)
.append("text")
.attr("transform",
"translate(" + (width/2) + " ," +
50 + ")")
.style("text-anchor", "middle")
.text("Month");
svg.append("g")
.attr("class", "axis")
.call(yaxis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 0 - adj)
.attr("x",0 - (height / 2))
.attr("dy", "1em")
.style("text-anchor", "middle")
.text("Running Total");
//----------------------------LINES-----------------------------//
var linesAndDots = svg.selectAll("lines")
.data(slices)
.enter()
.append("g");
linesAndDots.append("path")
.attr("class", ids)
.attr("d", function(d) { return line(d.values); });
linesAndDots.selectAll("line-circle")
.data(data)
.enter().append("circle")
.attr("class", "data-circle")
.attr("r", 5)
.attr("cx", function(d) {
console.log("id", id)
return 5; })
.attr("cy", function(d) { return 40; });
//Add the label on the right
linesAndDots.append("text")
.attr("class", ids)
.datum(function(d) {
return {
id: d.id,
value: d.values[d.values.length - 1]}; })
.attr("transform", function(d) {
return "translate(" + (xScale(d.value.date) + 10)
+ "," + (yScale(d.value.measurement) + 5 ) + ")"; })
.attr("x", 5)
.text(function(d) { return d.id.replace("=count", ""); });
});
</script>
</body>
Thanks for the help!
The problem can be inspected by seeing what d really is in the cx and cy function.
cx's problem: you didnt parse the date string into a Date object like you did for the slices data; cy's problem: the data item has no measurement key.
You have used both data and slices. To make the code more consistent, I fix the code of circle drawing using slices too.
linesAndDots
.selectAll(".data-circle")
.data(d=>d.values) // `d` now is the one of the two entries of `slices`,
//and we want to use the `values` array of each entry.
.enter()
.append("circle")
.attr("class", "data-circle")
.attr("r", 5)
.attr("cx", function(d) {
return xScale(d.date);
})
.attr("cy", function(d) {
return yScale(d.measurement)
});
A demo here
I adapted a multi-line chart which has a legend and axis and displays correctly on the bl.ocks.org site (http://bl.ocks.org/Matthew-Weber/5645518). The legend reorganizes itself when you select a different type from the drop down field. On my adaptation when the legend reorganizes itself the items start to overlap each other when some types are selected. Also the axes draw on top of each other. The original code uses tipsy but I have not checked it.
// original author's code http://bl.ocks.org/Matthew-Weber/5645518;
//set the margins
var margin = {
top: 50,
right: 160,
bottom: 80,
left: 50
},
width = 900 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
//set dek and head to be as wide as SVG
d3.select('#dek')
.style('width', width + 'px');
d3.select('#headline')
.style('width', width + 'px');
//write out your source text here
var sourcetext = "xxx";
// set the type of number here, n is a number with a comma, .2% will get you a percent, .2f will get you 2 decimal points
var NumbType = d3.format(",");
// color array
var bluescale4 = ["red", "blue", "green", "orange", "purple"];
//color function pulls from array of colors stored in color.js
var color = d3.scale.ordinal().range(bluescale4);
//defines a function to be used to append the title to the tooltip.
var maketip = function(d) {
var tip = '<p class="tip3">' + d.name + '<p class="tip1">' + NumbType(d.value) + '</p> <p class="tip3">' + formatDate(d.date) + '</p>';
return tip;
}
//define your year format here, first for the x scale, then if the date is displayed in tooltips
var parseDate = d3.time.format("%Y-%m-%d").parse;
var formatDate = d3.time.format("%b %d, '%y");
//create an SVG
var svg = d3.select("#graphic").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 + ")");
//make a rectangle so there is something to click on
svg.append("svg:rect")
.attr("width", width)
.attr("height", height)
.attr("class", "plot"); //#fff
// force data to update when menu is changed
var menu = d3.select("#menu select")
.on("change", change);
//suck in the data, store it in a value called formatted, run the redraw function
d3.csv("/sites/default/d3_files/d3-provinces/statistics-april-15-2.csv", function(data) {
formatted = data;
redraw();
});
d3.select(window)
.on("keydown", function() {
altKey = d3.event.altKey;
})
.on("keyup", function() {
altKey = false;
});
var altKey;
// set terms of transition that will take place
// when a new type (Death etc.)indicator is chosen
function change() {
d3.transition()
.duration(altKey ? 7500 : 1500)
.each(redraw);
} // end change
// REDRAW all the meat goes in the redraw function
function redraw() {
// create data nests based on type indicator (series)
var nested = d3.nest()
.key(function(d) {
return d.type;
})
.map(formatted)
// get value from menu selection
// the option values are set in HTML and correspond
//to the [type] value we used to nest the data
var series = menu.property("value");
// only retrieve data from the selected series, using the nest we just created
var data = nested[series];
// for object constancy we will need to set "keys", one for each type of data (column name) exclude all others.
color.domain(d3.keys(data[0]).filter(function(key) {
return (key !== "date" && key !== "type");
}));
var linedata = color.domain().map(function(name) {
return {
name: name,
values: data.map(function(d) {
return {
name: name,
date: parseDate(d.date),
value: parseFloat(d[name], 10)
};
})
};
});
//make an empty variable to stash the last values into so we can sort the legend // do we need to sort it?
var lastvalues = [];
//setup the x and y scales
var x = d3.time.scale()
.domain([
d3.min(linedata, function(c) {
return d3.min(c.values, function(v) {
return v.date;
});
}),
d3.max(linedata, function(c) {
return d3.max(c.values, function(v) {
return v.date;
});
})
])
.range([0, width]);
var y = d3.scale.linear()
.domain([
d3.min(linedata, function(c) {
return d3.min(c.values, function(v) {
return v.value;
});
}),
d3.max(linedata, function(c) {
return d3.max(c.values, function(v) {
return v.value;
});
})
])
.range([height, 0]);
//will draw the line
var line = d3.svg.line()
.x(function(d) {
return x(d.date);
})
.y(function(d) {
return y(d.value);
});
//create and draw the x axis - need to clear the existing axis
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom")
.tickPadding(8)
.ticks(10);
//create and draw the y axis
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
.tickSize(0 - width)
.tickPadding(8);
svg.append("svg:g")
.attr("class", "x axis");
svg.append("svg:g")
.attr("class", "y axis")
.attr("transform", "translate(" + (0) + ",0)")
.call(yAxis);
//bind the data
var thegraph = svg.selectAll(".thegraph")
.data(linedata)
//append a g tag for each line and set of tooltip circles and give it a unique ID based on the column name of the data
var thegraphEnter = thegraph.enter().append("g")
.attr("class", "thegraph")
.attr('id', function(d) {
return d.name + "-line";
})
.style("stroke-width", 2.5)
.on("mouseover", function(d) {
d3.select(this) //on mouseover of each line, give it a nice thick stroke // works
.style("stroke-width", '6px');
var selectthegraphs = $('.thegraph').not(this); //select all the rest of the lines, except the one you are hovering on and drop their opacity
d3.selectAll(selectthegraphs)
.style("opacity", 0.2);
var getname = document.getElementById(d.name); //use get element cause the ID names have spaces in them - not working
var selectlegend = $('.legend').not(getname); //grab all the legend items that match the line you are on, except the one you are hovering on
d3.selectAll(selectlegend) // drop opacity on other legend names
.style("opacity", .2);
d3.select(getname)
.attr("class", "legend-select"); //change the class on the legend name that corresponds to hovered line to be bolder
}) // end of mouseover
.on("mouseout", function(d) { //undo everything on the mouseout
d3.select(this)
.style("stroke-width", '2.5px');
var selectthegraphs = $('.thegraph').not(this);
d3.selectAll(selectthegraphs)
.style("opacity", 1);
var getname = document.getElementById(d.name);
var getname2 = $('.legend[fakeclass="fakelegend"]')
var selectlegend = $('.legend').not(getname2).not(getname);
d3.selectAll(selectlegend)
.style("opacity", 1);
d3.select(getname)
.attr("class", "legend");
});
//actually append the line to the graph
thegraphEnter.append("path")
.attr("class", "line")
.style("stroke", function(d) {
return color(d.name);
})
.attr("d", function(d) {
return line(d.values[0]);
})
.transition()
.duration(2000)
.attrTween('d', function(d) {
var interpolate = d3.scale.quantile()
.domain([0, 1])
.range(d3.range(1, d.values.length + 1));
return function(t) {
return line(d.values.slice(0, interpolate(t)));
};
});
//then append some 'nearly' invisible circles at each data point
thegraph.selectAll("circle")
.data(function(d) {
return (d.values);
})
.enter()
.append("circle")
.attr("class", "tipcircle")
.attr("cx", function(d, i) {
return x(d.date)
})
.attr("cy", function(d, i) {
return y(d.value)
})
.attr("r", 3) // was 12
.style('opacity', .2)
.attr("title", maketip);
//append the legend
var legend = svg.selectAll('.legend')
.data(linedata);
var legendEnter = legend
.enter()
.append('g')
.attr('class', 'legend')
.attr('id', function(d) {
return d.name;
})
.on('click', function(d) { //onclick function to toggle off the lines
if ($(this).css("opacity") == 1) {
//uses the opacity of the item clicked on to determine whether to turn the line on or off
var elemented = document.getElementById(this.id + "-line"); //grab the line that has the same ID as this point along w/ "-line"
//use get element cause ID has spaces
d3.select(elemented)
.transition()
.duration(1000)
.style("opacity", 0)
.style("display", 'none');
d3.select(this)
.attr('fakeclass', 'fakelegend')
.transition()
.duration(1000)
.style("opacity", .2);
} else {
var elemented = document.getElementById(this.id + "-line");
d3.select(elemented)
.style("display", "block")
.transition()
.duration(1000)
.style("opacity", 1);
d3.select(this)
.attr('fakeclass', 'legend')
.transition()
.duration(1000)
.style("opacity", 1);
}
});
//create a scale to pass the legend items through // this is broken for some types
var legendscale = d3.scale.ordinal()
.domain(lastvalues)
.range([0, 30, 60, 90, 120, 150, 180, 210]);
//actually add the circles to the created legend container
legendEnter.append('circle')
.attr('cx', width + 20) // cx=width+50 made circle overlap text
.attr('cy', function(d) {
var newScale = (legendscale(d.values[d.values.length - 1].value) + 20);
return newScale;
})
.attr('r', 7)
.style('fill', function(d) {
return color(d.name);
});
//add the legend text
legendEnter.append('text')
.attr('x', width + 35) // is this an issue?
.attr('y', function(d) {
return legendscale(d.values[d.values.length - 1].value);
})
.text(function(d) {
return d.name;
});
// set variable for updating visualization
var thegraphUpdate = d3.transition(thegraph);
// change values of path and then the circles to those of the new series
thegraphUpdate.select("path")
.attr("d", function(d, i) {
lastvalues[i] = d.values[d.values.length - 1].value;
lastvalues.sort(function(a, b) {
return b - a
});
legendscale.domain(lastvalues);
return line(d.values);
// }
});
thegraphUpdate.selectAll("circle")
.attr("title", maketip) // displays HTML but not circle
.attr("cy", function(d, i) {
return y(d.value)
})
.attr("cx", function(d, i) {
return x(d.date)
});
// and now for legend items
var legendUpdate = d3.transition(legend);
legendUpdate.select("circle")
.attr('cy', function(d, i) {
return legendscale(d.values[d.values.length - 1].value);
});
legendUpdate.select("text")
.attr('y', function(d) {
return legendscale(d.values[d.values.length - 1].value);
});
d3.transition(svg).select(".x.axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
//make my tooltips work
$('circle').tipsy({
opacity: .9,
gravity: 'n',
html: true
});
//end of the redraw function
}
svg.append("svg:text")
.attr("text-anchor", "start")
.attr("x", 0 - margin.left)
.attr("y", height + margin.bottom - 10)
.text(sourcetext)
.attr("class", "source");
My adapted code (including a lot of console.log messages) is in jsfiddle https://jsfiddle.net/pwarwick43/13fpn567/2/
I am beginning to think the problem might be with the version of d3 or jquery. Anyone got suggestions about this?
I have created a force directed graph using d3.js. When new nodes are inserted to the graph, the graph starts moving on the white area as shown in this image. I would like to pinpoint the nodes (incoming and "old) dynamically in order to avoid problems of "cutting" some nodes of the viewBox, as shown in the image attached.
Any help?
My code so far is:
var w = 550;//1200,
h = 400;//750;
var zoom = d3.behavior.zoom()
.scaleExtent([0.1, 10])
.on("zoom", zoomed);
function zoomed() {
container.attr("transform", "translate(" + d3.event.translate + ")scale(" + d3.event.scale + ")");
}
var testnode=[];
var color = d3.scale.category20();
var scale = 1200;
var vis = d3.select("#force")
.append("svg")
.attr("width", w) //w
.attr("height", h) //h
.attr("id", "svg")
.attr("group", "svg")
.attr("pointer-events", "all")
.attr("viewBox", "0 0 " + w + " " + h)
.call(zoom)
.attr("perserveAspectRatio", "xMinYMid meet")
.append('svg:g');
var force = d3.layout.force();
var nodes = force.nodes(),
links = force.links();
var update = function () {
var packetsReceivedArray = []
var div = d3.select("body").append("div")
.attr("class", "tooltip")
.style("opacity", 1e-6);
var link = vis.selectAll("line")
.data(links, function (d) {
return d.source.id + "-" + d.target.id;
});
var scale = d3.scale.linear()
.domain(d3.extent(links, function(d, i) {
return d.value;
}))
.range([1, 5]);
var scaleNode = d3.scale.linear()
.domain(d3.extent(nodes, function(d, i) {
return d.packetsReceived;
}))
.range([4, 16]);
link.enter().append("line")
.attr("id", function (d) {
return d.source.id + "-" + d.target.id;
})
.style("stroke-width", function(d) {
return scale(d.value) + "px";
})
.attr("class", "link");
link.append("title")
.text(function (d) {
return d.value;
});
link.exit().remove();
var node = vis.selectAll("g.node")
.data(nodes, function (d) {
return d.id;
});
var nodeEnter = node.enter().append("g")
.attr("class", "node")
.call(force.drag);
nodeEnter.append("svg:circle")
.attr("x", 10)
.attr("y", ".31em")
.attr("class", "nodeStrokeClass")
.attr("data-legend",function(d) {
if(d.group == 0){
return 'Basic Node'
}
return 'Other nodes'
});
nodeEnter.append("svg:text")
.attr("class", "textClass")
.attr("x", 14)
.attr("y", ".31em")
legend = vis.append("g")
.attr("class","legend")
.attr("transform","translate(900,30)")
.style("font-size","14px")
.call(d3.legend)
node.exit().remove();
force.on("tick", function () {
node.attr("transform", function (d) {
return "translate(" + d.x + "," + d.y + ")";
});
link.attr("x1", function (d) {
return d.source.x;
})
.attr("y1", function (d) {
return d.source.y;
})
.attr("x2", function (d) {
return d.target.x;
})
.attr("y2", function (d) {
return d.target.y;
});
});
force
.gravity(.1)
.charge(-300)
.friction(0.15)
.linkDistance(60)
.size([w - 150, h - 150])
.start();
};
I'm able to generate the following graph using D3 areas:
I want to create the following animation. When the webpage loads, you see the first figure. Then, each of the areas morphs into a bar. Finally, I would like to allow users to toggle between the two figures by clicking "B" or "D".
I was able to add the buttons and the corresponding bars to my figure, but I'm having troubles figuring out how to do the animation. This is the code that I have right now:
HTMLWidgets.widget({
name: 'IMposterior',
type: 'output',
factory: function(el, width, height) {
// TODO: define shared variables for this instance
return {
renderValue: function(opts) {
console.log("threshold: ", opts.threshold);
console.log("bars: ", opts.bars);
var margin = {left:50,right:50,top:40,bottom:125};
xMax = d3.max(opts.data, function(d) { return d.x ; });
yMax = d3.max(opts.data, function(d) { return d.y ; });
xMin = d3.min(opts.data, function(d) { return d.x ; });
yMin = d3.min(opts.data, function(d) { return d.y ; });
var y = d3.scaleLinear()
.domain([0,yMax])
.range([height-margin.bottom,0]);
var x = d3.scaleLinear()
.domain([xMin,xMax])
.range([0,width]);
var yAxis = d3.axisLeft(y);
var xAxis = d3.axisBottom(x);
var area = d3.area()
.x(function(d){ return x(d.x) ;})
.y0(height-margin.bottom)
.y1(function(d){ return y(d.y); });
var svg = d3.select(el).append('svg').attr("height","100%").attr("width","100%");
var chartGroup = svg.append("g").attr("transform","translate("+margin.left+","+margin.top+")");
chartGroup.append("path")
.attr("d", area(opts.data.filter(function(d){ return d.x< -opts.MME ;})))
.style("fill", opts.colors[0]);
if(opts.MME !==0){
chartGroup.append("path")
.attr("d", area(opts.data.filter(function(d){ return (d.x < opts.MME & d.x > -opts.MME) ;})))
.style("fill", opts.colors[1]);
}
chartGroup.append("path")
.attr("d", area(opts.data.filter(function(d){ return d.x > opts.MME ;})))
.style("fill", opts.colors[2]);
chartGroup.append("g")
.attr("class","axis x")
.attr("transform","translate(0,"+(height-margin.bottom)+")")
.call(xAxis);
var tooltip = d3.tip()
.attr('class', 'd3-tip chart-data-tip')
.offset([30, 0])
.direction('s')
.html(function(d, i) {
return "<strong>" + d + "</strong> <span style='color:" + "white" + "'>"+ "</span>";
});
svg.call(tooltip);
chartGroup.selectAll("path").data(opts.text).on('mouseover', tooltip.show).on('mouseout', tooltip.hide);
// Bars
var yBar = d3.scaleLinear()
.domain([0,1])
.range([height-margin.bottom,0]);
var xBar = d3.scaleBand()
.domain(opts.bars.map(function(d) { return d.x; }))
.rangeRound([0, width]).padding(0.1);
var yAxisBar = d3.axisLeft(yBar);
var xAxisBar = d3.axisBottom(xBar);
var g = svg.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
g.append("g")
.attr("class", "axis axis--x")
.attr("transform","translate(0,"+(height-margin.bottom)+")")
.call(d3.axisBottom(xBar));
g.append("g")
.attr("class", "axis axis--y")
.call(d3.axisLeft(yBar).ticks(10, "%"))
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", "0.71em")
.attr("text-anchor", "end")
.text("Probability");
g.selectAll(".bar")
.data(opts.bars)
.enter().append("rect")
.attr("class", "bar")
.attr("x", function(d) { return xBar(d.x); })
.attr("y", function(d) { return yBar(d.y); })
.attr("width", xBar.bandwidth())
.style("fill", function(d) { return d.color; })
.attr("height", function(d) { return height - margin.bottom - yBar(d.y); });
// Add buttons
//container for all buttons
var allButtons= svg.append("g")
.attr("id","allButtons");
//fontawesome button labels
var labels= ["B", "D"];
//colors for different button states
var defaultColor= "#E0E0E0";
var hoverColor= "#808080";
var pressedColor= "#000000";
//groups for each button (which will hold a rect and text)
var buttonGroups= allButtons.selectAll("g.button")
.data(labels)
.enter()
.append("g")
.attr("class","button")
.style("cursor","pointer")
.on("click",function(d,i) {
updateButtonColors(d3.select(this), d3.select(this.parentNode));
d3.select("#numberToggle").text(i+1);
})
.on("mouseover", function() {
if (d3.select(this).select("rect").attr("fill") != pressedColor) {
d3.select(this)
.select("rect")
.attr("fill",hoverColor);
}
})
.on("mouseout", function() {
if (d3.select(this).select("rect").attr("fill") != pressedColor) {
d3.select(this)
.select("rect")
.attr("fill",defaultColor);
}
});
var bWidth= 40; //button width
var bHeight= 25; //button height
var bSpace= 10; //space between buttons
var x0= 20; //x offset
var y0= 10; //y offset
//adding a rect to each toggle button group
//rx and ry give the rect rounded corner
buttonGroups.append("rect")
.attr("class","buttonRect")
.attr("width",bWidth)
.attr("height",bHeight)
.attr("x",function(d,i) {return x0+(bWidth+bSpace)*i;})
.attr("y",y0)
.attr("rx",5) //rx and ry give the buttons rounded corners
.attr("ry",5)
.attr("fill",defaultColor);
//adding text to each toggle button group, centered
//within the toggle button rect
buttonGroups.append("text")
.attr("class","buttonText")
.attr("x",function(d,i) {
return x0 + (bWidth+bSpace)*i + bWidth/2;
})
.attr("y",y0+bHeight/2)
.attr("text-anchor","middle")
.attr("dominant-baseline","central")
.attr("fill","white")
.text(function(d) {return d;});
function updateButtonColors(button, parent) {
parent.selectAll("rect")
.attr("fill",defaultColor);
button.select("rect")
.attr("fill",pressedColor);
}
},
resize: function(width, height) {
// TODO: code to re-render the widget with a new size
}
};
}
});
And this is the figure that that code produces:
This does the trick:
HTMLWidgets.widget({
name: 'IMPosterior',
type: 'output',
factory: function(el, width, height) {
// TODO: define shared variables for this instance
return {
renderValue: function(opts) {
//transition
var transDuration = 1000;
var dataDiscrete = opts.bars.map((b, i) => {
b.y = Number(b.y);
b.desc = opts.text[i];
return b;
});
var distParams = {
min: d3.min(opts.data, d => d.x),
max: d3.max(opts.data, d => d.x)
};
distParams.cuts = [-opts.MME, opts.MME, distParams.max];
opts.data = opts.data.sort((a,b) => a.x - b.x);
var dataContinuousGroups = [];
distParams.cuts.forEach((c, i) => {
let data = opts.data.filter(d => {
if (i === 0) {
return d.x < c;
} else if (i === distParams.cuts.length - 1) {
return d.x > distParams.cuts[i - 1];
} else {
return d.x < c && d.x > distParams.cuts[i - 1];
}
});
data.unshift({x:data[0].x, y:0});
data.push({x:data[data.length - 1].x, y:0});
dataContinuousGroups.push({
color: opts.colors[i],
data: data
});
});
var margin = {
top: 50,
right: 20,
bottom: 80,
left: 70
},
dims = {
width: width - margin.left - margin.right,
height: height - margin.top - margin.bottom
};
var xContinuous = d3.scaleLinear()
.domain([distParams.min - 1, distParams.max + 1])
.range([0, dims.width]);
var xDiscrete = d3.scaleBand()
.domain(dataDiscrete.map(function(d) { return d.x; }))
.rangeRound([0, dims.width]).padding(0.1);
var y = d3.scaleLinear()
.domain([0, 1])
.range([dims.height, 0]);
var svg = d3.select(el).append("svg")
.attr("width", dims.width + margin.left + margin.right)
.attr("height", dims.height + margin.top + margin.bottom);
var g = svg
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var xAxis = d3.axisBottom()
.scale(xDiscrete);
var yAxis = d3.axisLeft()
.scale(y)
.ticks(10)
.tickFormat(d3.format(".0%"));
var yLabel = g.append("text")
.attr("class", "y-axis-label")
.attr("transform", "rotate(-90)")
.attr("y", -52)
.attr("x", -160)
.attr("dy", ".71em")
.style("text-anchor", "end")
.style("font-size", 14 + "px")
.text("Probability");
g.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + dims.height + ")")
.call(xAxis);
g.append("g")
.attr("class", "y axis")
.call(yAxis);
var areas = g.selectAll(".area")
.data(dataDiscrete)
.enter().append("path")
.attr("class", "area")
.style("fill", function(d) { return d.color; })
.attr("d", function(d, i) {
let numPts = dataContinuousGroups[i].data.length - 2;
var path = d3.path()
path.moveTo(xDiscrete(d.x), y(0));
for (j=0; j<numPts; j++) {
path.lineTo(xDiscrete(d.x) + j*xDiscrete.bandwidth()/(numPts-1), y(d.y))
}
path.lineTo(xDiscrete(d.x) + xDiscrete.bandwidth(), y(0));
return path.toString();
});
var tooltip = d3.tip()
.attr('class', 'd3-tip chart-data-tip')
.offset([30, 0])
.direction('s')
.html(function(d, i) {
return "<span>" + dataDiscrete[i].desc + "</span>";
});
g.call(tooltip);
areas
.on('mouseover', tooltip.show)
.on('mouseout', tooltip.hide);
var thresholdLine = g.append("line")
.attr("stroke", "black")
.style("stroke-width", "1.5px")
.style("stroke-dasharray", "5,5")
.style("opacity", 1)
.attr("x1", 0)
.attr("y1", y(opts.threshold))
.attr("x2", dims.width)
.attr("y2", y(opts.threshold));
var updateXAxis = function(type, duration) {
if (type === "continuous") {
xAxis.scale(xContinuous);
} else {
xAxis.scale(xDiscrete);
}
d3.select(".x").transition().duration(duration).call(xAxis);
};
var updateYAxis = function(data, duration) {
var extent = d3.extent(data, function(d) {
return d.y;
});
extent[0] = 0;
extent[1] = extent[1] + 0.2*(extent[1] - extent[0]);
y.domain(extent);
d3.select(".y").transition().duration(duration).call(yAxis);
};
var toggle = function(to, duration) {
if (to === "distribution") {
updateYAxis(dataContinuousGroups[0].data.concat(dataContinuousGroups[1].data).concat(dataContinuousGroups[2].data), 0);
updateXAxis("continuous", duration);
areas
.data(dataContinuousGroups)
.transition()
.duration(duration)
.attr("d", function(d) {
var gen = d3.line()
.x(function(p) {
return xContinuous(p.x);
})
.y(function(p) {
return y(p.y);
});
return gen(d.data);
});
thresholdLine
.style("opacity", 0);
g.select(".y.axis")
.style("opacity", 0);
g.select(".y-axis-label")
.style("opacity", 0);
} else {
y.domain([0, 1]);
d3.select(".y").transition().duration(duration).call(yAxis);
updateXAxis("discrete", duration);
areas
.data(dataDiscrete)
.transition()
.duration(duration)
.attr("d", function(d, i) {
let numPts = dataContinuousGroups[i].data.length - 2;
var path = d3.path()
path.moveTo(xDiscrete(d.x), y(0));
for (j=0; j<numPts; j++) {
path.lineTo(xDiscrete(d.x) + j*xDiscrete.bandwidth()/(numPts-1), y(d.y))
}
path.lineTo(xDiscrete(d.x) + xDiscrete.bandwidth(), y(0));
return path.toString();
});
thresholdLine
.transition()
.duration(0)
.delay(duration)
.style("opacity", 1)
.attr("y1", y(opts.threshold))
.attr("y2", y(opts.threshold));
g.select(".y.axis")
.transition()
.duration(0)
.delay(duration)
.style("opacity", 1);
g.select(".y-axis-label")
.transition()
.duration(0)
.delay(duration)
.style("opacity", 1);
}
};
// Add buttons
//container for all buttons
var allButtons = svg.append("g")
.attr("id", "allButtons");
//fontawesome button labels
var labels = ["B", "D"];
//colors for different button states
var defaultColor = "#E0E0E0";
var hoverColor = "#808080";
var pressedColor = "#000000";
//groups for each button (which will hold a rect and text)
var buttonGroups = allButtons.selectAll("g.button")
.data(labels)
.enter()
.append("g")
.attr("class", "button")
.style("cursor", "pointer")
.on("click", function(d, i) {
updateButtonColors(d3.select(this), d3.select(this.parentNode));
d3.select("#numberToggle").text(i + 1);
if (d === "D") {
toggle("distribution", transDuration);
} else {
toggle("discrete", transDuration);
}
})
.on("mouseover", function() {
if (d3.select(this).select("rect").attr("fill") != pressedColor) {
d3.select(this)
.select("rect")
.attr("fill", hoverColor);
}
})
.on("mouseout", function() {
if (d3.select(this).select("rect").attr("fill") != pressedColor) {
d3.select(this)
.select("rect")
.attr("fill", defaultColor);
}
});
var bWidth = 40; //button width
var bHeight = 25; //button height
var bSpace = 10; //space between buttons
var x0 = 20; //x offset
var y0 = 10; //y offset
//adding a rect to each toggle button group
//rx and ry give the rect rounded corner
buttonGroups.append("rect")
.attr("class", "buttonRect")
.attr("width", bWidth)
.attr("height", bHeight)
.attr("x", function(d, i) {
return x0 + (bWidth + bSpace) * i;
})
.attr("y", y0)
.attr("rx", 5) //rx and ry give the buttons rounded corners
.attr("ry", 5)
.attr("fill", defaultColor);
//adding text to each toggle button group, centered
//within the toggle button rect
buttonGroups.append("text")
.attr("class", "buttonText")
.attr("x", function(d, i) {
return x0 + (bWidth + bSpace) * i + bWidth / 2;
})
.attr("y", y0 + bHeight / 2)
.attr("text-anchor", "middle")
.attr("dominant-baseline", "central")
.attr("fill", "white")
.text(function(d) {
return d;
});
function updateButtonColors(button, parent) {
parent.selectAll("rect")
.attr("fill", defaultColor);
button.select("rect")
.attr("fill", pressedColor);
}
toggle("distribution", 0);
setTimeout(() => {
toggle("discrete", transDuration);
}, 1000);
},
resize: function(width, height) {
// TODO: code to re-render the widget with a new size
}
};
}
});
I'm plotting a graph with this code (based on this example):
var colorrange = [];
function chart(data, desc_colors)
{
strokecolor = "#045A8D";
var mapPlotHeight = parseInt(d3.select("#map").style("height"));
var mapPlotHeight = parseInt(d3.select("#map").style("height"));
var sidebarWidth = parseInt(d3.select("#sidebar").style("width"));
var streamPlotMargin = {top: 20, right: 30, bottom: 30, left: 30};
var streamPlotWidth = document.body.clientWidth - streamPlotMargin.left - streamPlotMargin.right - sidebarWidth;
var streamPlotHeight = 200 - streamPlotMargin.top - streamPlotMargin.bottom;
var colorrange = [];
for (key in desc_colors)
{
colorrange.push(desc_colors[key]);
}
var tooltip = d3.select("body")
.append("div")
.attr("class", "remove")
.style("position", "absolute")
.style("z-index", "20")
.style("visibility", "hidden")
.style("top", mapPlotHeight + 50 + streamPlotMargin.top + "px") // 50 of nav top
.style("left", sidebarWidth + 80 + "px");
var x = d3.scale.linear()
.range([0, streamPlotWidth]);
var y = d3.scale.linear()
.range([streamPlotHeight-10, 0]);
var z = d3.scale.ordinal()
.range(colorrange);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom")
.ticks(24);
var yAxis = d3.svg.axis()
.scale(y);
var yAxisr = d3.svg.axis()
.scale(y);
var stack = d3.layout.stack()
.offset("silhouette")
.values(function(d) { return d.values; })
.x(function(d) { return d.hour; })
.y(function(d) { return d.value; });
// Group by key
var nest = d3.nest()
.key(function(d) { return d.key; })
var area = d3.svg.area()
.interpolate("cardinal")
.x(function(d) { return x(d.hour); })
.y0(function(d) { return y(d.y0); })
.y1(function(d) { return y(d.y0 + d.y); });
var svg = d3.select(".chart").attr("align","center")
.append("svg")
.attr("width", streamPlotWidth + streamPlotMargin.right + streamPlotMargin.left)
.attr("height", streamPlotHeight + streamPlotMargin.top + streamPlotMargin.bottom)
.append("g")
.attr("transform", "translate(" + streamPlotMargin.left + "," + streamPlotMargin.top + ")");
data.forEach(function(d) {
d.hour = d.hour;
d.value = +d.value;
});
var layers = stack(nest.entries(data));
x.domain(d3.extent(data, function(d) { return d.hour; }));
y.domain([0, d3.max(data, function(d) { return d.y0 + d.y; })]);
svg.selectAll(".layer")
.data(layers)
.enter().append("path")
.attr("class", "layer")
.attr("d", function(d) { return area(d.values); })
.style("fill", function(d, i) { return z(i); });
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + streamPlotHeight + ")")
.call(xAxis);
svg.append("g")
.attr("class", "y axis")
.call(yAxis.orient("left"));
svg.selectAll(".layer")
.attr("opacity", 1)
.on("mouseover", function(d, i) {
svg.selectAll(".layer").transition()
.duration(250)
.attr("opacity", function(d, j) {
return j != i ? 0.6 : 1;
})})
.on("mousemove", function(d, i) {
mousex = d3.mouse(this);
mousex = mousex[0];
var invertedx = x.invert(mousex);
console.log(invertedx);
pro = d.values[Math.round(invertedx)].value;
console.log(pro);
d3.select(this)
.classed("hover", true)
.attr("stroke", strokecolor)
.attr("stroke-width", "0.5px"),
tooltip.html( "<p>" + d.key + "<br>" + pro + "</p>" ).style("visibility", "visible");
})
.on("mouseout", function(d, i) {
svg.selectAll(".layer")
.transition()
.duration(250)
.attr("opacity", "1");
d3.select(this)
.classed("hover", false)
.attr("stroke-width", "0px"), tooltip.html( "<p>" + d.key + "<br>" + pro + "</p>" ).style("visibility", "hidden");
})
var vertical = d3.select(".chart")
.append("div")
.attr("class", "remove")
.style("position", "absolute")
.style("z-index", "19")
.style("width", "1px")
.style("height", "200px")
.style("top", mapPlotHeight + streamPlotMargin.bottom)
.style("bottom", "0px")
.style("left", "0px")
.style("background", "#fff");
d3.select(".chart")
.on("mousemove", function(){
mousex = d3.mouse(this);
mousex = mousex[0] + 5;
vertical.style("left", mousex + "px" )})
.on("mouseover", function(){
mousex = d3.mouse(this);
mousex = mousex[0] + 5;
vertical.style("left", mousex + "px")});
}
That results in something similar to this:
http://bl.ocks.org/WillTurman/raw/4631136/
However, I would like to update this chart based on a query.
I found these to examples:
http://bl.ocks.org/d3noob/7030f35b72de721622b8
http://bl.ocks.org/mbostock/4060954
But I don't know how to apply then to my code. I would like to do something different then having a function just for update a chart. I would like to, inside the chart() function, be able to check if a chart already exists. If so, I would just update it (data, x, y), using a transition.
I would like to do something different then having a function just for update a chart. I would like to, inside the chart() function, be able to check if a chart already exists.
If you want to check if a chart already exists, you can first assign an id to that chart, and then check if something with that id already exists when you need to decide if you should update the chart or otherwise.
Something like this
var svg = d3.select(".chart").attr("align","center")
.append("svg")
.attr("id", "svg-elem")
Then, use something along these lines to decide what to call next.
if(!d3.select("#svg-elem").node()){
// chart doesn't yet exist.
// call chart initilization code?
} else {
// call chart update code
}