Put title above slider in D3 svg element - javascript

Consider the following:
var dataAsCsv = `date,col_1,col_2
11/1/2012,1977652,1802851
12/1/2012,1128739,948687
1/1/2013,1201944,1514667
2/1/2013,1863148,1834006
3/1/2013,1314851,1906060
4/1/2013,1283943,1978702
5/1/2013,1127964,1195606
6/1/2013,1773254,977214
7/1/2013,1929574,1127450
8/1/2013,1980411,1808161
9/1/2013,1405691,1182788
10/1/2013,1336790,937890
11/1/2013,1851053,1358400
12/1/2013,1472623,1214610
1/1/2014,1155116,1757052
2/1/2014,1571611,1935038
3/1/2014,1898348,1320348
4/1/2014,1444838,1934789
5/1/2014,1235087,950194
6/1/2014,1272040,1580656
7/1/2014,980781,1680164
8/1/2014,1391291,1115999
9/1/2014,1211125,1542148
10/1/2014,1020824,1782795
11/1/2014,1685081,926612
12/1/2014,1469254,1767071
1/1/2015,1168523,935897
2/1/2015,1602610,1450541
3/1/2015,1830278,1354876
4/1/2015,1275158,1412555
5/1/2015,1560961,1839718
6/1/2015,949948,1587130
7/1/2015,1413765,1494446
8/1/2015,1166141,1305105
9/1/2015,958975,1202219
10/1/2015,902696,1023987
11/1/2015,961441,1865628
12/1/2015,1363145,1954046
1/1/2016,1862878,1470741
2/1/2016,1723891,1042760
3/1/2016,1906747,1169012
4/1/2016,1963364,1927063
5/1/2016,1899735,1936915
6/1/2016,1300369,1430697
7/1/2016,1777108,1401210
8/1/2016,1597045,1566763
9/1/2016,1558287,1140057
10/1/2016,1965665,1953595
11/1/2016,1800438,937551
12/1/2016,1689152,1221895
1/1/2017,1607824,1963282
2/1/2017,1878431,1415658
3/1/2017,1730296,1947106
4/1/2017,1956756,1696780
5/1/2017,1746673,1662892
6/1/2017,989702,1537646
7/1/2017,1098812,1592064
8/1/2017,1861973,1892987
9/1/2017,1129596,1406514
10/1/2017,1528632,1725020
11/1/2017,925850,1795575`;
var margin = {
top: 50,
right: 20,
bottom: 50,
left: 80
},
width = 1400 - margin.left - margin.right,
height = 700 - 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);
var g = svg.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
// parse the date / time
// look at the .csv in Notepad! DO NOT LOOK AT EXCEL!
var parseDate = d3.timeParse("%m/%d/%Y");
var sessions_desktop_col = "#CE1126",
sessions_mobile_col = "#00B6D0";
var x = d3.scaleTime()
.range([0, width - margin.left - margin.right]);
var y = d3.scaleLinear().range([height, 0]);
var z = d3.scaleOrdinal()
.range([sessions_desktop_col, sessions_mobile_col]); // red and blue
var xMonthAxis = d3.axisBottom(x)
.ticks(d3.timeMonth.every(1))
.tickFormat(d3.timeFormat("%b")); // label every month
var xYearAxis = d3.axisBottom(x)
.ticks(d3.timeYear.every(1))
.tickFormat(d3.timeFormat("%Y")); // label every year
var yAxis = d3.axisLeft(y).tickFormat(d3.format('.2s')).tickSize(-width + margin.left + margin.right);
var formatNum = d3.format(",");
var barPad = 8;
var data = d3.csvParse(dataAsCsv, function(d, i, columns) {
for (i = 1, t = 0; i < columns.length; ++i) t += d[columns[i]] = +d[columns[i]];
d.total = t;
return d;
});
data.forEach(function(d) {
d.date = parseDate(d.date);
});
var keys = data.columns.slice(1);
data.sort(function(a, b) {
return b.date - a.date;
});
x.domain(d3.extent(data, function(d) {
return d.date
}));
var max = x.domain()[1];
var min = x.domain()[0];
var datePlusOneMonth = d3.timeDay.offset(d3.timeMonth.offset(max, 1), -1); // last day of current month: move up one month, back one day
x.domain([min, datePlusOneMonth]);
y.domain([0, d3.max(data, function(d) {
return d.total;
})]).nice();
z.domain(keys);
// x-axis
var monthAxis = g.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xMonthAxis);
var defaultSliderValue = 25;
// calculate offset date based on initial slider value
var offsetDate = defaultSliderValue ? d3.timeDay.offset(d3.timeMonth.offset((new Date(datePlusOneMonth.getFullYear(), datePlusOneMonth.getMonth() - defaultSliderValue)), 1), -1) : min
// set x domain and re-render xAxis
x.domain([offsetDate, datePlusOneMonth]);
g.select('.x.axis').call(xMonthAxis);
var filteredData = data.filter(function(d) {
return d.date >= offsetDate;
});
barWidth = (width - margin.right - margin.left) / (filteredData.length + barPad);
// the bars
g.append("g").classed('bars', true)
.selectAll("g")
.data(d3.stack().keys(keys)(filteredData))
.enter().append("g")
.attr('class', function(d) {
return d.key;
})
.attr("fill", function(d) {
return z(d.key);
})
.selectAll("rect")
.data(function(d) {
return d;
})
.enter()
.append("rect")
.attr("x", function(d) {
return x(d.data.date);
})
.attr("y", function(d) {
return y(d[1]);
})
.attr("height", function(d) {
return y(d[0]) - y(d[1]);
})
.attr("width", barWidth)
.on("mousemove", function(d) {
//Get this bar's x/y values, then augment for the tooltip
var xPosition = parseFloat(d3.mouse(this)[0]) + 88;
var yPosition = parseFloat(d3.mouse(this)[1]) + 50;
var value = d.data[d3.select(this.parentNode).attr('class')]; // differentiating between col1 and col2 values
var totalCount = d.data["total"];
var valuePercent = value / totalCount;
var valueClass = d3.select(this.parentNode).attr('class').replace("col_1", "Column 1").replace("col_2", "Column 2");
//Update the tooltip position and value
d3.select("#tooltip")
.style("left", xPosition + "px")
.style("top", yPosition + "px")
d3.select("#tooltip")
.select("#count")
.text(formatNum(value)); // return the value
d3.select("#tooltip")
.select("#totalCount")
.text(formatNum(totalCount)); // return the value
d3.select("#tooltip")
.select("#percent")
.text((valuePercent * 100).toFixed(1) + "%"); // return the value
d3.select("#tooltip")
.select("#month")
.text(d3.timeFormat("%B %Y")(d.data.date)); // return the value
d3.select("#tooltip")
.select("#sessionLabel")
.text(valueClass); // return the class
//Show the tooltip
d3.select("#tooltip").classed("hidden", false);
})
.on("mouseout", function() {
//Hide the tooltip
d3.select("#tooltip").classed("hidden", true);
});
g.selectAll("bars")
.attr("transform", "translate(0,300)");
const firstDataYear = x.domain()[0];
if (firstDataYear.getMonth() == 11) { // When .getmonth() == 11, this shows two years overlapping with each other, making the label look ugly
const firstDataYearOffset = d3.timeDay.offset(firstDataYear, 1);
var tickValues = x.ticks().filter(function(d) {
return !d.getMonth()
});
if (tickValues.length && firstDataYearOffset.getFullYear() !== tickValues[1].getFullYear()) {
tickValues = [firstDataYearOffset].concat(tickValues);
} else {
tickValues = [firstDataYearOffset];
}
} else {
var tickValues = x.ticks().filter(function(d) {
return !d.getMonth()
});
if (tickValues.length && firstDataYear.getFullYear() !== tickValues[0].getFullYear()) {
tickValues = [firstDataYear].concat(tickValues);
} else {
tickValues = [firstDataYear];
}
}
xYearAxis.tickValues(tickValues);
var yearAxis = g.append("g")
.attr("class", "yearaxis axis")
.attr("transform", "translate(0," + (height + 25) + ")")
.call(xYearAxis);
var valueAxis = g.append("g")
.attr("class", "y axis grid")
.call(yAxis);
monthAxis.selectAll("g").select("text")
.attr("transform", "translate(" + barWidth / 2 + ",0)");
var options = d3.keys(data[0]).filter(function(key) {
return key !== "date";
}).reverse();
var legend = svg.selectAll(".legend")
.data(options.slice().filter(function(type) {
return type != "total"
}))
.enter().append("g")
.attr("class", "legend")
.attr("transform", function(d, i) {
return "translate(0," + i * 20 + ")";
});
legend.append("rect")
.attr("x", width - 18)
.attr("width", 18)
.attr("height", 18)
.attr('class', function(d) {
return d;
})
.style("fill", z)
.on("mouseover", function(d) {
if (d == 'col_2') {
d3.selectAll(".col_2").style("fill", '#008394');
}
if (d == 'col_1') {
d3.selectAll(".col_1").style("fill", '#80061b');
};
})
.on("mouseout", function() {
d3.selectAll(".col_2").style("fill", col_2_col);
d3.selectAll(".col_1").style("fill", col_1_col);
});
function capitalizeFirstLetter(string) {
return string.charAt(0).toUpperCase() + string.slice(1);
}
legend.append("text")
.attr("x", width - 24)
.attr("y", 9)
.attr("dy", ".35em")
.style("text-anchor", "end")
.text(function(d) {
return capitalizeFirstLetter(d.replace("col_1", "Column 1").replace("col_2", "Column 2"));
})
.on("mouseover", function(d) {
if (d == 'col_2') {
d3.selectAll(".col_2").style("fill", '#008394');
}
if (d == 'col_1') {
d3.selectAll(".col_1").style("fill", '#80061b');
};
})
.on("mouseout", function() {
d3.selectAll(".col_2").style("fill", col_2_col);
d3.selectAll(".col_1").style("fill", col_1_col);
});;
// Initialize jQuery slider
$('div#month-slider').slider({
min: 1,
max: 25,
value: defaultSliderValue,
create: function() {
// add value to the handle on slider creation
$(this).find('.ui-slider-handle').html($(this).slider("value"));
},
slide: function(e, ui) {
// change values on slider handle and label based on slider value
$(e.target).find('.ui-slider-handle').html(ui.value);
// calculate offset date based on slider value
var offsetDate = ui.value ? d3.timeDay.offset(d3.timeMonth.offset((new Date(datePlusOneMonth.getFullYear(), datePlusOneMonth.getMonth() - ui.value)), 1), -1) : min
// set x domain and re-render xAxis
x.domain([offsetDate, datePlusOneMonth]);
g.select('.x.axis').call(xMonthAxis);
const firstDataYear = x.domain()[0];
if (firstDataYear.getMonth() == 11) { // When .getmonth() == 11, this shows two years overlapping with each other, making the label look ugly
const firstDataYearOffset = d3.timeDay.offset(firstDataYear, 1);
var tickValues = x.ticks().filter(function(d) {
return !d.getMonth()
});
if (tickValues.length == 2 && firstDataYearOffset.getFullYear() !== tickValues[1].getFullYear()) {
tickValues = [firstDataYearOffset].concat(tickValues);
} else {
tickValues = [firstDataYearOffset];
}
} else {
var tickValues = x.ticks().filter(function(d) {
return !d.getMonth()
});
if (tickValues.length && firstDataYear.getFullYear() !== tickValues[0].getFullYear()) {
tickValues = [firstDataYear].concat(tickValues);
} else {
tickValues = [firstDataYear];
}
}
xYearAxis.tickValues(tickValues);
g.select('.yearaxis.axis').call(xYearAxis);
// calculate filtered data based on new offset date, set y axis domain and re-render y axis
var filteredData = data.filter(function(d) {
return d.date >= offsetDate;
});
y.domain([0, d3.max(filteredData, function(d) {
return d.total;
})]).nice();
g.select('.y.axis').transition().duration(200).call(yAxis);
// re-render the bars based on new filtered data
// the bars
var bars = g.select("g.bars")
.selectAll("g")
.data(d3.stack().keys(keys)(filteredData));
var barRects = bars.enter().append("g").merge(bars)
.attr('class', function(d) {
return d.key;
})
.attr("fill", function(d) {
return z(d.key);
})
.selectAll("rect")
.data(function(d) {
return d;
});
barRects.exit().remove();
barRects.enter()
.append("rect");
barWidth = (width - margin.right - margin.left) / (filteredData.length + barPad);
monthAxis.selectAll("g").select("text")
.attr("transform", "translate(" + barWidth / 2 + ",0)");
g.select("g.bars").selectAll('g rect')
.attr("x", function(d) {
return x(d.data.date);
})
.attr("y", function(d) {
return y(d[1]);
})
.attr("height", function(d) {
return y(d[0]) - y(d[1]);
})
.attr("width", barWidth)
.on("mousemove", function(d) {
//Get this bar's x/y values, then augment for the tooltip
var xPosition = parseFloat(d3.mouse(this)[0]) + 88;
var yPosition = parseFloat(d3.mouse(this)[1]) + 50;
var value = d.data[d3.select(this.parentNode).attr('class')]; // differentiating between col1 and col2 values
var totalCount = d.data["total"];
var valuePercent = value / totalCount;
var valueClass = d3.select(this.parentNode).attr('class').replace("col_1", "Column 1").replace("col_2", "Column 2");
//Update the tooltip position and value
d3.select("#tooltip")
.style("left", xPosition + "px")
.style("top", yPosition + "px")
d3.select("#tooltip")
.select("#count")
.text(formatNum(value)); // return the value
d3.select("#tooltip")
.select("#totalCount")
.text(formatNum(totalCount)); // return the value
d3.select("#tooltip")
.select("#percent")
.text((valuePercent * 100).toFixed(1) + "%"); // return the value
d3.select("#tooltip")
.select("#month")
.text(d3.timeFormat("%B %Y")(d.data.date)); // return the value
d3.select("#tooltip")
.select("#sessionLabel")
.text(valueClass); // return the class
//Show the tooltip
d3.select("#tooltip").classed("hidden", false);
})
.on("mouseout", function() {
//Hide the tooltip
d3.select("#tooltip").classed("hidden", true);
});
}
});
g.append("text")
.attr("class", "title")
.attr("x", (width / 2))
.attr("y", 0 - (margin.top / 2))
.attr("text-anchor", "middle")
.text("Title");
#tooltip {
position: absolute;
width: 290px;
z-index: 2;
height: auto;
padding: 10px;
background-color: white;
-webkit-border-radius: 10px;
-moz-border-radius: 10px;
border-radius: 10px;
-webkit-box-shadow: 4px 4px 10px rgba(0, 0, 0, 0.4);
-moz-box-shadow: 4px 4px 10px rgba(0, 0, 0, 0.4);
box-shadow: 4px 4px 10px rgba(0, 0, 0, 0.4);
pointer-events: none;
}
.legend {
font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
font-size: 60%;
}
#tooltip.hidden {
display: none;
}
#tooltip p {
margin: 0;
font-family: sans-serif;
font-size: 16px;
line-height: 20px;
}
g[class="col_1"] rect:hover {
fill: #80061b;
}
g[class="col_2"] rect:hover {
fill: #008394;
}
div.slider-container {
margin: 20px 20px 20px 80px;
}
div#month-slider {
width: 50%;
margin: 0px 0px 0px 330px;
background: #e3eff4;
}
div#month-slider .ui-slider .ui-slider-handle {
width: 25%;
}
div#month-slider .ui-slider-handle {
text-align: center;
}
.title {
font-size: 30px;
font-weight: bold;
}
.grid line {
stroke: lightgrey;
stroke-opacity: 0.7;
shape-rendering: crispEdges;
}
.grid path {
stroke-width: 0;
pointer-events: none;
}
<link rel="stylesheet" href="//code.jquery.com/ui/1.12.1/themes/base/jquery-ui.css">
<script src="https://code.jquery.com/jquery-3.2.1.min.js"></script>
<script src="https://code.jquery.com/ui/1.12.0/jquery-ui.min.js" integrity="sha256-eGE6blurk5sHj+rmkfsGYeKyZx3M4bG+ZlFyA7Kns7E=" crossorigin="anonymous"></script>
<script src="https://d3js.org/d3.v4.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3-legend/1.7.0/d3-legend.min.js"></script>
<body>
<div id="tooltip" class="hidden">
<p><strong>Month: </strong><span id="month"></span>
<p>
<p><strong><span id="sessionLabel"></span>: </strong><span id="count"></span> (<span id="percent"></span>)</p>
<p><strong>Total: </strong><span id="totalCount"></span></p>
</div>
<div class="slider-container" style='inline-block;'>
<span style='margin-left:6em;display:inline-block;position:relative;top:15px;'><strong>Number of Months Displayed:</strong></span>
<div id="month-slider" style='inline-block;'></div>
</div>
I would like the title to be above the slider in this. My understanding for why this isn't working is because the slider is in a div completely separate from the svg element. The thing that makes the most sense here, then, is to insert the div with class slider-container into the svg element. How can this be done?

Here's your options:
Use a forigenObject svg node to insert your html slider but this is poorly supported under IE.
Remove the title from your svg make it html.
Create an svg slider like here.

Related

Mouse hovering over circle data point using D3.js

I am trying to add a hover effect without success. How to show data when hovering over datapoint?
https://plnkr.co/edit/Va1Dw3hg2D5jPoNGKVWp?p=preview&preview
<!DOCTYPE html>
svg {
font: 12px sans-serif;
text-anchor: middle;
}
rect {
stroke: lightgray;
stoke-width: 1px;
fill: none;
}
.y.axis path {
fill: none;
stroke: none;
}
</style>
d3.csv('data.csv', function (error, rows) {
var data = [];
rows.forEach(function (d) {
var x = d[''];
delete d[''];
for (prop in d) {
var y = prop,
value = d[prop];
data.push({
x: x,
y: y,
value: +value,
});
}
});
var margin = {
top: 25,
right: 80,
bottom: 25,
left: 25,
},
width = 500 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom,
domain = d3
.set(
data.map(function (d) {
return d.x;
})
)
.values(),
num = Math.sqrt(data.length),
color = d3.scale
.linear()
.domain([-1, 0, 1])
.range(['#B22222', '#fff', '#000080']);
var x = d3.scale.ordinal().rangePoints([0, width]).domain(domain),
y = d3.scale.ordinal().rangePoints([0, height]).domain(domain),
xSpace = x.range()[1] - x.range()[0],
ySpace = y.range()[1] - y.range()[0];
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 + ')'
);
var cor = svg
.selectAll('.cor')
.data(data)
.enter()
.append('g')
.attr('class', 'cor')
.attr('transform', function (d) {
return 'translate(' + x(d.x) + ',' + y(d.y) + ')';
});
cor
.append('rect')
.attr('width', xSpace)
.attr('height', ySpace)
.attr('x', -xSpace / 2)
.attr('y', -ySpace / 2);
cor
.filter(function (d) {
var ypos = domain.indexOf(d.y);
var xpos = domain.indexOf(d.x);
for (var i = ypos + 1; i < num; i++) {
if (i === xpos) return false;
}
return true;
})
.append('text')
.attr('y', 5)
.text(function (d) {
if (d.x === d.y) {
return d.x;
} else {
return d.value.toFixed(2);
}
})
.style('fill', function (d) {
if (d.value === 1) {
return '#000';
} else {
return color(d.value);
}
});
cor
.filter(function (d) {
var ypos = domain.indexOf(d.y);
var xpos = domain.indexOf(d.x);
for (var i = ypos + 1; i < num; i++) {
if (i === xpos) return true;
}
return false;
})
.append('circle')
.attr('r', function (d) {
return (width / (num * 2)) * (Math.abs(d.value) + 0.1);
})
.style('fill', function (d) {
if (d.value === 1) {
return '#000';
} else {
return color(d.value);
}
});
var aS = d3.scale
.linear()
.range([-margin.top + 5, height + margin.bottom - 5])
.domain([1, -1]);
var yA = d3.svg.axis().orient('right').scale(aS).tickPadding(7);
var aG = svg
.append('g')
.attr('class', 'y axis')
.call(yA)
.attr(
'transform',
'translate(' + (width + margin.right / 2) + ' ,0)'
);
var iR = d3.range(-1, 1.01, 0.01);
var h = height / iR.length + 3;
iR.forEach(function (d) {
aG.append('rect')
.style('fill', color(d))
.style('stroke-width', 0)
.style('stoke', 'none')
.attr('height', h)
.attr('width', 10)
.attr('x', 0)
.attr('y', aS(d));
});
});
</script>
Create a new div and give it some styles. also set the opacity to 0.
var popupDiv = d3
.select("#root")
.append("div")
.attr("class", "tooltip")
.style("opacity", 0);
Next, you need to add a mouseenter and mouseout to your desired elements
d3.append("div") // Change this to your element(s)
.on("mouseenter", function (d, i) {
popupDiv.transition().duration(200).style("opacity", 0.9);
popupDiv
.html(i.Description) // Example of display a data item description
.style("left", d.pageX + "px") // X offset can be added here
.style("top", d.pageY + "px"); // Y offset can be added here
})
.on("mouseout", function (d, i) {
popupDiv.transition().duration(200).style("opacity", 0);
})
Bear in mind the first parameter d to the mouseenter and mouseout functions is the mouse event itself which is being used to find out the x and y position of the mouse. The second parameter i is the data attached to your element if you wanted to use any of the data for specific descriptions or colours etc.
These are the base styles I used when creating a popup
div.tooltip {
position: absolute;
text-align: center;
width: auto;
height: auto;
max-width: 200px;
padding: 8px;
font: 12px sans-serif;
background: lightsteelblue;
border: 0px;
border-radius: 8px;
pointer-events: none;
z-index: 10;
}

Applying zoom in matrix scatterplot d3.js v4

Here is a plunkr of a matrix scatterplot in d3 V4
http://plnkr.co/edit/7meh4sMhxItcQtCaAtZP?p=preview
(It may take some time to load and display)
I am looking forward to zoom the plot in order to see the cluttered points in a convenient way.
I have used d3.zoom() to rescale the axis but the circles are not being plotted accordingly.
Here is the problem description:
Initially, all the axis are set with different ranges (like top y-axis is having range from 4.5-7.5 , below that y-axis range is from 2.0-4.0 .. )
Now after zooming it, (i.e when scrolling mouse over the circles), all the axis are set in the same ranges that leads to all circles oriented diagonally.
Is there a workaround for that so that we can zoom the axis accordingly and visualize it nicely !!
Thanks. Any help would highly appreciated.
<!DOCTYPE html>
<meta charset="utf-8">
<style>
svg {
font: 10px sans-serif;
padding: 10px;
}
.axis,
.frame {
shape-rendering: crispEdges;
}
.axis line {
stroke: #ddd;
}
.axis path {
display: none;
}
.cell text {
font-weight: bold;
text-transform: capitalize;
}
.frame {
fill: none;
stroke: #aaa;
}
circle {
fill-opacity: .7;
}
circle.hidden {
fill: #ccc !important;
}
.extent {
fill: #000;
fill-opacity: .125;
stroke: #fff;
}
div.tooltip {
position: absolute;
text-align: center;
width: 100px;
height: 80px;
padding: 2px;
font: 12px sans-serif;
background: lightsteelblue;
border: 0px;
border-radius: 8px;
pointer-events: none;
}
</style>
<body>
<script src="https://d3js.org/d3.v4.min.js"></script>
<script>
var tooltipDiv;
d3.helper = {};
var zoomable = true;
var new_xScale;
var new_yScale;
d3.helper.tooltip = function (param1, param2) {
var bodyNode = d3.select('body').node();
function tooltip(selection) {
selection.on('mouseover.tooltip', function (point) {
// Clean up lost tooltips
d3.select('body').selectAll('div.tooltip').remove();
// Append tooltip
tooltipDiv = d3.select('body')
.append('div')
.attr('class', 'tooltip');
var absoluteMousePos = d3.mouse(bodyNode);
//console.log('absoluteMousePos', absoluteMousePos);
tooltipDiv
.style('left', (absoluteMousePos[0] + 10) + 'px')
.style('top', (absoluteMousePos[1] - 30) + 'px');
var line = '';
//var temp_key = d3.keys(point);
var temp_key = [param1, param2];
// _.each(d3.keys(point), function (key, index) {
temp_key.forEach(function (key, index) {
if (index != temp_key.length - 1) {
line += key + ': ' + point[key] + '</br>';
} else {
line += key + ': ' + point[key];
}
});
tooltipDiv.html(line);
})
.on('mousemove.tooltip', function () {
// Move tooltip
var absoluteMousePos = d3.mouse(bodyNode);
tooltipDiv
.style("left", (absoluteMousePos[0] + 10) + 'px')
.style("top", absoluteMousePos[1] < 80 ? absoluteMousePos[1] + 10 :(absoluteMousePos[1] - 70) + 'px');
})
.on('mouseout.tooltip', function () {
// Remove tooltip
tooltipDiv.remove();
});
}
tooltip.attr = function (_x) {
if (!arguments.length) return attrs;
attrs = _x;
return this;
};
tooltip.style = function (_x) {
if (!arguments.length) return styles;
styles = _x;
return this;
};
return tooltip;
};
var width = 500,
size = 150,
padding = 20;
var x = d3.scaleLinear().rangeRound([padding / 2, size - padding / 2]);
var y = d3.scaleLinear().rangeRound([size - padding / 2, padding / 2]);
var xAxis = d3.axisBottom()
.scale(x)
.ticks(7);
var yAxis = d3.axisLeft()
.scale(y)
.ticks(7);
var color = d3.scaleOrdinal(d3.schemeCategory10);
d3.json("flowers.json", function (data) {
var attr2Domain = {},
attrs= ['sepal length', 'sepal width', 'petal length','petal width']
n = attrs.length;
attrs.forEach(function (attr) {
attr2Domain[attr] = d3.extent(data, function (ele) {
return ele[attr];
});
});
xAxis.tickSize(size * n);
yAxis.tickSize(-size * n);
var svg = d3.select("body")
.append("svg")
.attr("width", size * n + padding)
.attr("height", size * n + padding)
.append("g")
.attr("transform", "translate(" + padding + "," + padding / 2 + ")");
svg.selectAll(".x.axis")
.data(attrs)
.enter().append("g")
.attr("class", "x axis")
.attr("transform", function (d, i) {
return "translate(" + (n - i - 1) * size + ",0)";
})
.each(function (d) {
x.domain(attr2Domain[d]);
d3.select(this).call(xAxis);
});
svg.selectAll(".y.axis")
.data(attrs)
.enter().append("g")
.attr("class", "y axis")
.attr("transform", function (d, i) {
return "translate(0," + i * size + ")";
})
.each(function (d) {
y.domain(attr2Domain[d]);
d3.select(this).call(yAxis);
});
var cell = svg.selectAll(".cell")
.data(cross(attrs, attrs))
.enter()
.append("g")
.attr("class", "cell")
.attr("classx", function(d){ return d.x; })
.attr("classy", function(d){ return d.y; })
.attr("transform", function (d) {
return "translate(" + (n - d.i - 1) * size + "," + d.j * size + ")";
});
// Titles for the diagonal.
cell.filter(function (d) {
return d.i === d.j;
})
.append("text")
.attr("x", padding)
.attr("y", padding)
.attr("dy", ".71em")
.style("fill", "black")
.text(function (d) {
return d.x;
});
cell.each(plot);
// plot each cell
function plot(p) {
cell = d3.select(this);
x.domain(attr2Domain[p.x]);
y.domain(attr2Domain[p.y]);
cell.append("rect")
.attr("class", "frame")
.attr("x", padding / 2)
.attr("y", padding / 2)
.attr("width", size - padding)
.style("pointer-events", "none")
.attr("height", size - padding);
var circles = cell.selectAll("circle")
.data(data)
.enter().append("circle")
.attr("cx", function (d) {
return x(d[p.x]);
})
.attr("cy", function (d) {
return y(d[p.y]);
})
.attr("r", 4)
//.style("fill", "green");
.style("fill", function (d) {
return color(d.species);
});
circles.on('mousemove', function(){
var param1 = d3.select(this.parentNode).attr("classx");
var param2 = d3.select(this.parentNode).attr("classy");
circles.call(d3.helper.tooltip(param1, param2));
});
}
//--------------------------------------------- applying zoom----------
applyZoom();
function applyZoom() {
if (zoomable) {
var zoom = d3.zoom()
.on("zoom", zoomed);
svg.call(zoom).on("dblclick.zoom", null);
}
}
function zoomed() {
console.log('zoomed');
new_xScale = d3.event.transform.rescaleX(x);
new_yScale = d3.event.transform.rescaleY(y);
console.log("new_xScale", x);
svg.selectAll(".x.axis")
.each(function (d) {
x.domain(attr2Domain[d]);
d3.select(this).call(xAxis.scale(new_xScale));
});
svg.selectAll(".y.axis")
.each(function (d) {
y.domain(attr2Domain[d]);
d3.select(this).call(yAxis.scale(new_yScale));
});
cell.each(plotly);
}
function plotly(p) {
console.log("plotly", p);
//return x(d[p.x])
svg.selectAll("circle")
.attr("cx", function (d) {
return new_xScale(d[p.x]);
})
.attr("cy", function (d) {
return new_yScale(d[p.y]);
});
}
});
function cross(a, b) {
var c = [], n = a.length, m = b.length, i, j;
for (i = 0; i < n; i++) {
for (j = 0; j < m; j++) {
c.push({x: a[i], i: i, y: b[j], j: j});
}
}
return c;
}
</script>
I think move'new_xScale = d3.event.transform.rescaleX(x)' after 'x.domain(attr2Domain[d])' inside each function should work. The same as y.
Thanks

D3 text not centered on nodes?

I have a jsfiddle with a scatter plot, on which the corresponding text will not align with the dots.
I believe that this chunk should be displaying the names at the same coordinates as the circles:
.attr("x", function(d){return timeScale(d[1]);})
.attr("y", function(d){return rankScale(d[0]);})
This is the same code I used to place the circles.
Do I misunderstand something?
Since you are (for whatever reason) translating the circles, you should apply the same translate to the texts:
textSelection.attr("transform", "translate("+transRight+","+transDown+")")
Alternatively, don't translate the circles.
Here is your updated fiddle: https://jsfiddle.net/yv3ts1fw/
And here a Stack snippet with the same code:
function call() {
$.ajax({
url: "https://raw.githubusercontent.com/FreeCodeCamp/ProjectReferenceData/master/cyclist-data.json",
data: {
format: 'json'
},
complete: function(xhr, textStatus) {
//console.log(xhr.status);
//console.log(textStatus);
},
error: function() {
$('#container').html('<p>An error has occurred</p>');
},
success: (data) => {
pushArray(data);
},
type: 'GET'
});
}
call();
var timeArray = [];
function pushArray(data) {
data = JSON.parse(data);
for (var i = 0; i < data.length; i++) {
var tempArray = [];
tempArray.push(i);
var hms = data[i].Time;
var a = hms.split(':');
var seconds = ((+a[0]) * 60 + (+a[1]));
tempArray.push(seconds);
timeArray.push(tempArray);
}
var w = $(window).width();
var h = $(window).height();
var margin = {
top: h / 5,
left: w / 10
};
h = h * .8;
w = w * .9;
var svgW = w * .8;
var svgH = h * .8;
w = w * .6;
h = h * .6;
var rankScale = d3.scaleLinear()
.domain([1, 35])
.range([0, h]);
var axisRankScale = d3.scaleLinear()
.domain([35, 1])
.range([h, 0]);
var timeScale = d3.scaleLinear()
.domain([2200, 2400])
.range([0, w]);
var xAxis = d3.axisBottom()
.scale(timeScale);
var yAxis = d3.axisLeft()
.scale(axisRankScale);
var toolTip = d3.select("body")
.append("div")
.attr("class", "tooltip")
.style("opacity", 0);
var transDown = 20;
var transRight = 100;
//h = 700;
// h=h*1.2;
//w=w*1.2;
//w= 300;
var theBody = d3.select("#container")
.append("svg")
.attr("height", svgH * 1.4)
.attr("width", w * 1.6)
.attr("transform", "translate(50, 50)")
.append("g")
.attr("transform", "translate(20, 20)");
theBody.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 50)
.attr("x", -(h / 2))
//.attr("dy", "1em")
.style("text-anchor", "middle")
.text("Rank");
theBody.append("text")
.attr("y", h + margin.top)
.attr("x", w / 1.5)
.style("text-anchor", "middle")
.text("Seconds");
theBody.selectAll("foo")
.data(timeArray)
.enter()
.append("text")
.text(function(d) {
var index = d[0];
var _this = data[index];
return _this.Name;
})
.attr("x", function(d) {
return timeScale((d[1]));
})
.attr("y", function(d) {
return rankScale((d[0]));
})
.attr("font-size", "10px")
.attr("transform", "translate(" + (transRight + 16) + "," + transDown + ")");
theBody.selectAll("circle")
.data(timeArray)
.enter()
.append("circle")
.attr("cx", function(d) {
return timeScale(d[1]);
})
.attr("cy", function(d) {
return rankScale((d[0]));
})
.attr("r", 10)
.attr("fill", "green")
.attr("stroke", "black")
.attr("transform", "translate(" + transRight + "," + transDown + ")")
.on("mouseout", function() {
toolTip.style("opacity", 0.0);
})
.on("mouseover", function(d) {
var index = d[0];
var _this = data[index];
var time = _this.Time,
name = _this.Name,
year = _this.Year,
dope = _this.Doping;
if (dope === "") {
dope = "No doping allegations!";
}
toolTip.html(name + "<br>" + year + "<br>" + time + " <br>---<br>" + dope)
.style("opacity", 1)
.style("left", ((d3.event.pageX) + 40) + "px")
.style("top", ((d3.event.pageY) + 0) + "px");
});
}; // end pushArray main
svg {
border: solid;
}
#container {
border: solid green;
width: 100vw;
height: 100vh;
}
div.tooltip {
display: flex;
position: absolute;
justify-content: center;
align-items: center;
text-align: center;
width: 12vw;
height: 25vh;
padding: 2px;
font: 12px sans-serif;
font-weight: bold;
background: rgb(255, 82, 80);
border: 0px;
border-radius: 8px;
pointer-events: none;
opacity: 0;
}
<script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.1/jquery.min.js"></script>
<script src="https://d3js.org/d3.v4.min.js"></script>
<div id="container">
<div>tour de france
<div></div>
PS: in your text selection, don't do theBody.selectAll("text"), because you already have texts in that SVG. Instead of that, select something that doesn't exist, like theBody.selectAll("foo").

Creating horizontal legend with d3.js (v4)

Currently I am working on one of FCC's project and essentially I am done with the overall project.
However, I am hard time making a simple legend, especially when I am using scaleQuantile as my colorScale
Here's my codepen link : http://codepen.io/neotriz/pen/PGOLBb
Essentially I want to create a horizontal legend that outputs all of the colors (inside the array color) and append its text, based on the data.
I could hard-code the text of the legend, but I rather do it in abstract (text is based on the data itself)
If anyone can point me the right direction, I will appreciate it.
let toolTip = d3.select("#canvas")
.append("div")
.classed("toolTip",true)
.style("opacity",0)
const colors = ["#5e4fa2", "#3288bd", "#66c2a5", "#abdda4",
"#e6f598", "#ffffbf", "#fee08b", "#fdae61",
"#f46d43", "#d53e4f", "#9e0142"];
const width = w - (margin.left + margin.right);
const height = h - (margin.top + margin.bottom);
const yOffset = 40;
//lets create new object to add degree key and its value
data = rawData.map( oneData => {
let degree = base + oneData.variance
return Object.assign({}, oneData, {degree: degree})
})
const svg = d3.select("#canvas")
.append("svg")
.attr("id","chart")
.attr("width", w)
.attr("height", h)
const chart = svg.append("g")
.classed("display", true)
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
const yearParser = d3.timeParse("%Y")
const monthParser = d3.timeParse("%m")
const x = d3.scaleTime()
.domain(d3.extent(data,function(d){
let year = yearParser(d.year)
return year
}))
.range([0,width]);
const y = d3.scaleTime()
.domain([monthParser(data[0].month),monthParser(data[11].month)])
.range([0,height-yOffset])
const xAxis = d3.axisBottom(x)
.tickFormat(d3.timeFormat("%Y")).tickSize(9)
const yAxis = d3.axisLeft(y)
.tickFormat(d3.timeFormat("%B")).tickSize(0).tickPadding(6);
const colorScale = d3.scaleQuantile()
.domain(d3.extent(data,function(d){
return d.degree
}))
.range(colors)
function toolTipText(d){
const rawMonth = monthParser(d.month);
const monthFormat = d3.timeFormat("%B");
const month = monthFormat(rawMonth)
let text = '<strong>' + month + " " + d.year + '</strong>'+ '<br>';
text += d.degree.toFixed(3) +' °C'+ '<br>';
text += 'Variance: '+d.variance +' °C'+ '<br>';
return text
}
function drawAxis(params){
//draw xAxis
this.append("g")
.call(params.axis.x)
.classed("x axis", true)
.attr("transform", "translate(0,"+ height +")")
.selectAll("text")
.style("font-size",16)
//draw yAxis
this.append("g")
.call(params.axis.y)
.classed("y axis",true)
.attr("transform","translate(0,0)")
.selectAll("text")
.attr("dy",25)
.style("font-size",14)
//label x axis
this.select(".x.axis")
.append("text")
.classed("x axis-label",true)
.attr("transform","translate(-60,"+ -height/2 +") rotate(-90)")
.style("fill","black")
.text("Months")
this.select(".y.axis")
.append("text")
.classed("y axis-label",true)
.attr("transform","translate("+ width/2 +","+ (height+60) +")")
.style("fill","black")
.text("Years")
}
function plot(params){
if (params.initialize){
drawAxis.call(this,params)
}
//enter()
this.selectAll(".degree")
.data(params.data)
.enter()
.append("rect")
.classed("degree", true)
//update
this.selectAll(".degree")
.transition()
.delay(100)
.attr("x",function(d,i){
let year = yearParser(d.year)
return x(year)
})
this.selectAll(".degree")
.attr("y",function(d,i){
let month = monthParser(d.month)
return y(month)
})
this.selectAll(".degree")
.attr("width", 4)
this.selectAll(".degree")
.attr("height", yOffset)
this.selectAll(".degree")
.style("fill", function(d,i){
return colorScale(d.degree)
})
.on("mouseover",function(d,i){
let text = toolTipText(d)
toolTip.transition()
.style("opacity",.9)
toolTip.html(text)
.style("left", (d3.event.pageX + 15) + "px")
.style("top", (d3.event.pageY - 28) + "px")
d3.select(this)
.style("stroke","gray")
.style("stroke-width", 3)
})
.on("mouseout",function(d,i){
toolTip.transition()
.style("opacity",0)
d3.select(this)
.style("stroke","none")
})
//exit()
this.selectAll(".degree")
.data(params.data)
.exit()
.remove()
}
plot.call(chart,{
base: base,
data: data,
axis: {
x: xAxis,
y: yAxis
},
initialize: true
})
Here's a quick implementation:
function drawLegend(){
var legend = this.select(".x.axis").append("g"),
legW = 40;
legend.selectAll('rect')
.data(colorScale.range())
.enter()
.append('rect')
.attr('width', legW)
.attr('x', function(d,i){
return i * legW;
})
.attr('y', 50)
.attr('height', 20)
.style('fill', function(d){
return d;
});
legend.selectAll('text')
.data(colorScale.quantiles())
.enter()
.append('text')
.attr('x', function(d,i){
return (i + 1) * legW;
})
.attr('y', 80)
.text(function(d,i){
var rv = Math.round(d*10)/10;
if (i === 0) rv = '<' + rv;
else if (i === (colorScale.quantiles().length - 1)) rv = '>' + rv;
return rv;
})
.style('fill', 'black')
.style('stroke', 'none');
}
Full running code:
<html lang="en">
<head>
<meta name="viewport" content="width=device-width, initial-scale=1" />
<meta charset="UTF-8" />
<title>FCC Heat-Map</title>
<style>
body,
html {
text-align: center;
background: #e2e2e2;
}
#canvas {
margin: 65px auto;
width: 1300px;
height: 600;
background: white;
-webkit-box-shadow: 0px 0px 31px -5px rgba(0, 0, 0, 0.5);
-moz-box-shadow: 0px 0px 31px -5px rgba(0, 0, 0, 0.5);
box-shadow: 0px 0px 31px -5px rgba(0, 0, 0, 0.5);
}
#chart {}
.title {
padding-top: 11px;
font-size: 2em;
font-weight: bold;
}
.year {
font-size: 1.7em;
}
.description {
font-size: 0.9em;
margin-bottom: -35px;
}
.axis-label {
font-size: 25px;
}
.toolTip {
color: white;
position: absolute;
text-align: center;
max-width: 250px;
max-height: 98px;
padding: 7px;
font: 15px sans-serif;
background: black;
border: 25px;
border-radius: 12px;
line-height: 18px;
pointer-events: none;
box-shadow: 0px 0px 12px -10px;
}
</style>
</head>
<body>
<div id="canvas"></div>
<script src="//d3js.org/d3.v4.min.js"></script>
<script src="//ajax.googleapis.com/ajax/libs/jquery/3.1.0/jquery.min.js"></script>
<script>
var colorScale = null;
$(document).ready(function() {
const w = 1300;
const h = 600;
const margin = {
top: 50,
bottom: 80,
left: 100,
right: 20
}
function title() {
const mainTitle = document.createElement("div");
mainTitle.innerHTML = "Monthly Global Land-Surface Temperature"
mainTitle.className = "title";
const year = document.createElement("div");
year.innerHTML = "1753 - 2015";
year.className = "year";
const description = document.createElement("div")
description.innerHTML = 'Temperatures are in Celsius and reported as anomalies relative to the Jan 1951-Dec 1980 average.<br>' +
'Estimated Jan 1951-Dec 1980 absolute temperature ℃: 8.66 +/- 0.07';
description.className = "description"
let chart = document.getElementById("canvas")
chart.appendChild(mainTitle)
chart.appendChild(year)
chart.appendChild(description)
}
function render(base, rawData) {
let toolTip = d3.select("#canvas")
.append("div")
.classed("toolTip", true)
.style("opacity", 0)
const colors = ["#5e4fa2", "#3288bd", "#66c2a5", "#abdda4",
"#e6f598", "#ffffbf", "#fee08b", "#fdae61",
"#f46d43", "#d53e4f", "#9e0142"
];
const width = w - (margin.left + margin.right);
const height = h - (margin.top + margin.bottom);
const yOffset = 40;
//lets create new object to add degree key and its value
data = rawData.map(oneData => {
let degree = base + oneData.variance
return Object.assign({}, oneData, {
degree: degree
})
})
const svg = d3.select("#canvas")
.append("svg")
.attr("id", "chart")
.attr("width", w)
.attr("height", h)
const chart = svg.append("g")
.classed("display", true)
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
const yearParser = d3.timeParse("%Y")
const monthParser = d3.timeParse("%m")
const x = d3.scaleTime()
.domain(d3.extent(data, function(d) {
let year = yearParser(d.year)
return year
}))
.range([0, width]);
const y = d3.scaleTime()
.domain([monthParser(data[0].month), monthParser(data[11].month)])
.range([0, height - yOffset])
const xAxis = d3.axisBottom(x)
.tickFormat(d3.timeFormat("%Y")).tickSize(9)
const yAxis = d3.axisLeft(y)
.tickFormat(d3.timeFormat("%B")).tickSize(0).tickPadding(6);
colorScale = d3.scaleQuantile()
.domain(d3.extent(data, function(d) {
return d.degree
}))
.range(colors)
function toolTipText(d) {
const rawMonth = monthParser(d.month);
const monthFormat = d3.timeFormat("%B");
const month = monthFormat(rawMonth)
let text = '<strong>' + month + " " + d.year + '</strong>' + '<br>';
text += d.degree.toFixed(3) + ' °C' + '<br>';
text += 'Variance: ' + d.variance + ' °C' + '<br>';
return text
}
function drawAxis(params) {
//draw xAxis
this.append("g")
.call(params.axis.x)
.classed("x axis", true)
.attr("transform", "translate(0," + height + ")")
.selectAll("text")
.style("font-size", 16)
//draw yAxis
this.append("g")
.call(params.axis.y)
.classed("y axis", true)
.attr("transform", "translate(0,0)")
.selectAll("text")
.attr("dy", 25)
.style("font-size", 14)
//label x axis
this.select(".x.axis")
.append("text")
.classed("x axis-label", true)
.attr("transform", "translate(-60," + -height / 2 + ") rotate(-90)")
.style("fill", "black")
.text("Months")
this.select(".y.axis")
.append("text")
.classed("y axis-label", true)
.attr("transform", "translate(" + width / 2 + "," + (height + 60) + ")")
.style("fill", "black")
.text("Years")
}
function drawLegend(){
var legend = this.select(".x.axis").append("g"),
legW = 40;
legend.selectAll('rect')
.data(colorScale.range())
.enter()
.append('rect')
.attr('width', legW)
.attr('x', function(d,i){
return i * legW;
})
.attr('y', 40)
.attr('height', 20)
.style('fill', function(d){
return d;
});
legend.selectAll('text')
.data(colorScale.quantiles())
.enter()
.append('text')
.attr('x', function(d,i){
return (i + 1) * legW;
})
.attr('y', 70)
.text(function(d,i){
var rv = Math.round(d*10)/10;
if (i === 0) rv = '<' + rv;
else if (i === (colorScale.quantiles().length - 1)) rv = '>' + rv;
return rv;
})
.style('fill', 'black')
.style('stroke', 'none');
}
function plot(params) {
if (params.initialize) {
drawAxis.call(this, params)
}
//enter()
this.selectAll(".degree")
.data(params.data)
.enter()
.append("rect")
.classed("degree", true)
//update
this.selectAll(".degree")
.transition()
.delay(100)
.attr("x", function(d, i) {
let year = yearParser(d.year)
return x(year)
})
this.selectAll(".degree")
.attr("y", function(d, i) {
let month = monthParser(d.month)
return y(month)
})
this.selectAll(".degree")
.attr("width", 4)
this.selectAll(".degree")
.attr("height", yOffset)
this.selectAll(".degree")
.style("fill", function(d, i) {
return colorScale(d.degree)
})
.on("mouseover", function(d, i) {
let text = toolTipText(d)
toolTip.transition()
.style("opacity", .9)
toolTip.html(text)
.style("left", (d3.event.pageX + 15) + "px")
.style("top", (d3.event.pageY - 28) + "px")
d3.select(this)
.style("stroke", "gray")
.style("stroke-width", 3)
})
.on("mouseout", function(d, i) {
toolTip.transition()
.style("opacity", 0)
d3.select(this)
.style("stroke", "none")
})
//exit()
this.selectAll(".degree")
.data(params.data)
.exit()
.remove()
drawLegend.call(this);
}
plot.call(chart, {
base: base,
data: data,
axis: {
x: xAxis,
y: yAxis
},
initialize: true
})
}
const url = 'https://raw.githubusercontent.com/FreeCodeCamp/ProjectReferenceData/master/global-temperature.json';
$.ajax({
type: "GET",
dataType: "json",
url: url,
beforeSend: () => {},
complete: () => {},
success: data => {
title()
const baseTemperature = data.baseTemperature;
const dataAPI = data.monthlyVariance;
render(baseTemperature, dataAPI);
},
fail: () => {
console.log('failure!')
},
error: () => {
let chart = document.getElementById('card');
chart.style.display = "table"
let errorMessage = document.createElement("h1");
errorMessage.innerHTML = "ERROR 404: File Not Found!"
errorMessage.className = "errorMessage";
chart.appendChild(errorMessage)
}
});
});
</script>
</body>
</html>

D3.js Passing CSV through modified Lee Byron's test algorithm generator in stacked-to-grouped bar graph example

i'm using d3.js's stacked-to-grouped bar graph. i've modified the example's randomized data generator. and now it's not reading my csv file properly.
the final graph will have:
x-axis determined by date
y-axis determined by hours* or weeks or months
*my naming convention for hours is "dnh".
code below. thanks for your help!:
var data = [];
var dataByDay = [];
d3.csv('data/friday.csv', function(myData) {
// console.log(myData);
return {
date: myData.date,
dnh: +myData.dnh
};
}, function(myData) {
data = myData;
// console.log(myData[0]);
});
function doBarChart() {
var n = 4, // number of layers
m = 30, // number of samples per layer (m will be equal to my x values (time))
stack = d3.layout.stack(),
layers = stack(d3.range(n).map(function() {
return bumpLayer(m, .1);
})),
yGroupMax = d3.max(layers, function(layer) {
return d3.max(layer, function(d) {
return d.y;
});
}), // algorithm for grouped passing through y data values
yStackMax = d3.max(layers, function(layer) {
return d3.max(layer, function(d) {
return d.y0 + d.y;
});
}); // algorithm for stacked passing through y values
var margin = {
top: 40,
right: 10,
bottom: 20,
left: 10
}, // "canvas" setup
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var x = d3.scale.ordinal() // setup for the rangeBands / rangeBand (fitting values to the canvas width that we have)
.domain(d3.range(m))
.rangeRoundBands([0, width], .08); // check reference on rangeRound behavior
var y = d3.scale.linear() // nb: do not need to change to time scale. unix has already been converted & t = 0 - 29
.domain([0, yStackMax])
.range([height, 0]); // question: what is the 0 value? does it resituate stacks on x = 0?
var color = d3.scale.linear()
.domain([0, n - 1])
.range(["#aad", "#556"]);
var xAxis = d3.svg.axis() // defines x-axis, situates it as the bottom (x) and not left (y)
.scale(x) // passing x values through ordinal scale
.tickSize(0)
.tickPadding(6)
.orient("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 + ")");
var layer = svg.selectAll(".layer") // !!!! layers = ?
.data(layers) // layers passed through database
.enter().append("g") // adding graphic
.attr("class", "layer") // selectAll is being applied here
.style("fill", function(d, i) {
return color(i);
}); // clarify: i = index of data
var rect = layer.selectAll("rect") // rect = actual bars
.data(function(d) {
return d;
})
.enter().append("rect")
.attr("x", function(d) {
return x(d.x);
})
.attr("y", height)
.attr("width", x.rangeBand())
.attr("height", 0);
// -------------------------------------------------------------------------------------- testing tooltip fx
// var tooltip = d3.select('body').append('div')
// .style('position','absolute')
// .style('padding', '0 10px')
// .style('background', 'white')
// .style('opacity', 0)
// ---------------------------------------------------------------------------------------------------------
rect.transition()
.delay(function(d, i) {
return i * 10;
})
.attr("y", function(d) {
return y(d.y0 + d.y);
})
.attr("height", function(d) {
return y(d.y0) - y(d.y0 + d.y);
});
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
d3.selectAll("input").on("change", change);
var timeout = setTimeout(function() {
d3.select("input[value=\"grouped\"]").property("checked", true).each(change);
}, 2000);
function change() {
clearTimeout(timeout);
if (this.value === "grouped") transitionGrouped();
else transitionStacked();
}
// ---------------------------------------------------------------------- transition fx : grouped + stacked
function transitionGrouped() {
y.domain([0, yGroupMax]);
rect.transition()
.duration(500)
.delay(function(d, i) {
return i * 10;
})
.attr("x", function(d, i, j) {
return x(d.x) + x.rangeBand() / n * j;
})
.attr("width", x.rangeBand() / n)
.transition()
.attr("y", function(d) {
return y(d.y);
})
.attr("height", function(d) {
return height - y(d.y);
});
}
function transitionStacked() {
y.domain([0, yStackMax]);
rect.transition()
.duration(500)
.delay(function(d, i) {
return i * 10;
})
.attr("y", function(d) {
return y(d.y0 + d.y);
})
.attr("height", function(d) {
return y(d.y0) - y(d.y0 + d.y);
})
.transition()
.attr("x", function(d) {
return x(d.x);
})
.attr("width", x.rangeBand());
}
// ---------------------------------------------------------------------------------------------------------
// ! testing : on mouseOver function for tooltip !
// tooltip.on('mouseover'), function(d){
// tooltip.transition()
// .style('opacity', .9)
//
// tooltip.html(d)
// .style('left', (d3.event.pageX) + 'px' )
// .style('top', (d3.event.pageY) + 'px')
// }
// ---------------------------------------------------------------------------------------------------------
function bumpLayer(n, o) {
console.log("print o");
var a = [],
i;
for (i = 0; i < n; ++i) a[i] = data[i].date; //o + o * Math.random();
// for (i = 0; i < 5; ++i){
// for (j = 0; j < n; ++j)
// a[j] = .25;
// }
// bump(a);
return a.map(function(d, i) {
return {
x: i,
y: Math.max(0, d)
};
});
}
}
body {
font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
margin: auto;
position: relative;
width: 960px;
}
text {
font: 10px sans-serif;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
form {
position: absolute;
right: 10px;
top: 10px;
}
<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8">
<title>hellotest</title>
<link rel="stylesheet" href="css/style.css">
<form>
<label>
<input type="radio" name="mode" value="grouped">Grouped</label>
<label>
<input type="radio" name="mode" value="stacked">Stacked</label>
</form>
</head>
<body>
<script src="http://d3js.org/d3.v3.min.js" charset="utf-8"></script>
<script src="js/testindex.js"></script>
</body>
</html>
d3.csv is asynchronous. I see that you made data global and associated it to myData, but sometimes the code below it runs before the CSV is loaded. Try to console.log(data) just outside the d3.csv function, to check if data is correctly populated. If not, put all the functions that depend on myData inside the d3.csv function.

Categories