zoom issue in dagre-d3 when use with vuejs2 with watch mode - d3.js

I am using d3-dagre to render the data. Initially i can render the data without any problem. When i try to update the same view in watch mode, it is updating the data but still some error is thrown in the console for "g" attribute transformation. Whenever i try to rewrite the SVG elements i am removing the "g" element inside the "svg" tag. I am trying this in vuejs2 ui library.
watch: {
workflowDetails: function (changes) {
console.log('Update component ==> ' + changes)
this.workflowName = changes.label
this.workflowDetails = changes
this.metricGraph = false
this.drawDAGView()
}
},
mounted () {
this.drawDAGView()
},
methods: {
getJobid: function (nodeId) {
console.log('Function to get graph api' + nodeId)
this.metricGraph = true
},
drawDAGView: function (isUpdate) {
/* eslint-disable */
d3.selectAll('svg > g').remove()
// Create a new directed graph
var g = new dagreD3.graphlib.Graph().setGraph({})
var DagNodes = this.workflowDetails.nodes
var fillColor
// Add states to the graph, set labels, and style
Object.keys(DagNodes).forEach(function(key) {
console.log("Nodes - "+ DagNodes[key].name)
var value = DagNodes[key]
value.label = DagNodes[key].name + " (" + DagNodes[key].exec_time + ")"
value.rx = value.ry = 5
g.setNode(DagNodes[key].name, value)
})
var DagEdges = this.workflowDetails.edges;
// Add states to the graph, set labels, and style
Object.keys(DagEdges).forEach(function(key) {
g.setEdge(DagEdges[key].startEdge, DagEdges[key].endEdge, { label: ""} )
})
// Create the renderer
var render = new dagreD3.render()
// Set up an SVG group so that we can translate the final graph.
var svg = d3.select("svg"),
inner = svg.append("g")
// Set up zoom support
var zoom = d3.behavior.zoom().on("zoom", function() {
inner.attr("transform", "translate(" + d3.event.translate + ")" +
"scale(" + d3.event.scale + ")")
})
svg.call(zoom)
// Simple function to style the tooltip for the given node.
var styleTooltip = function(name, description) {
return "<p class='name'>" + name + "</p><p class='description'>" + description + "</p>"
}
// Run the renderer. This is what draws the final graph.
render(inner, g)
inner.selectAll("g.node")
.attr("title", function(v) {
return styleTooltip(v, "Execution Time: "+g.node(v).label + " <br /> Description: "+g.node(v).label)
})
//.each(function(v) { $(this).tipsy({ gravity: "w", opacity: 1, html: true }) })
var self = this
inner.selectAll("g.node")
.on("click", function(v) {
console.log("Nodes --> "+ v + " -- "+ g.node(v).node_id)
// whatever
//window.location = "../dag/"+g.node(v).job_id
self.nodeId = g.node(v).node_id
console.log("Node id -- "+ self.nodeId)
self.getJobid(self.nodeId)
})
// Center the graph
var initialScale = 1.2
zoom
.translate([(svg.attr("width") - g.graph().width * initialScale) / 50, 20])
.scale(initialScale)
.event(svg)
svg.attr('height', g.graph().height * initialScale + 40)
svg.attr('width', "100%")
}
Error - Due to this below error newly loaded data not able to zoom
Error: <g> attribute transform: Expected number, "translate(NaN,20)

Have you tried removing the svg? After removing the svg you can add the new Graph.

Related

Insert image on top of VueJS Google Charts

I'm trying to adapt the nice solution I found here:
How to place an icon inside Google ColumnChart
to insert images on top of chart bars.
I'm using VueJS to dynamically create my Google charts.
HTML Code :
<GChart type="BarChart" id="villesChart" ref="villesChart" :data="dataprox" :options="optionsprox" :events="eventsprox">
then I populate my chart in my VueJS app:
var result_a = [
[
"Ville",
"Prix au m2",
{ role: "annotation" },
{ role: "style" },
{ role: "code_commune" },
],
];
/*data from sql query*/
for (var ligne in reponse) {
result_a.push([
reponse[ligne].ville,
parseInt(reponse[ligne].prix),
reponse[ligne].prix + " €/m2",
"color: " + couleur,
reponse[ligne].code_commune,
]);
}
The proposed solution to insert icons is the following (extract):
var container = document.getElementById('chart_div');
var containerBounds = container.getBoundingClientRect();
var chart = new google.visualization.ColumnChart(container);
google.visualization.events.addListener(chart, 'ready', function () {
var chartLayout = chart.getChartLayoutInterface();
for (var i = 0; i < data.getNumberOfRows(); i++) {
var barBounds = chartLayout.getBoundingBox('bar#0#' + i);
var path = 'http://findicons.com/files/icons/512/star_wars/32/';
var thumb = container.appendChild(document.createElement('img'));
thumb.src = path + data.getProperty(i, 0, 'thumb');
thumb.style.position = 'absolute';
thumb.style.top = (barBounds.top + containerBounds.top - 40) + 'px';
thumb.style.left = (barBounds.left + containerBounds.left + (barBounds.width / 2) - 16) + 'px';
}
});
chart.draw(data, options);
How do I adapt that code in VueJS context? I don't know how to get the chart element and where I should insert my code (mounted?).
Thanks a lot for your help!
Alex

Why is my pie chart showing incorrect groups when filtered with stacked bar chart in dc.js & crossfilter.js?

When I click on a dc.js stacked bar chart, my pie chart elsewhere on the same page doesn't show the correct groups.
I'm new to dc.js, so I've created a simple dataset to demo features I need: Alice and Bob write articles about fruit, and tag each article with a single tag. I've charted this data as follows:
Line chart showing number of articles per day
Pie chart showing total number of each tag used
Stacked bar chart showing number of tags used by author
The data set is as follows:
rawData = [
{"ID":"00000001","User":"Alice","Date":"20/02/2019","Tag":"apple"},
{"ID":"00000002","User":"Bob","Date":"17/02/2019","Tag":"dragonfruit"},
{"ID":"00000003","User":"Alice","Date":"21/02/2019","Tag":"banana"},
{"ID":"00000004","User":"Alice","Date":"22/02/2019","Tag":"cherry"},
{"ID":"00000005","User":"Bob","Date":"23/02/2019","Tag":"cherry"},
];
Illustrative JSFiddle here: https://jsfiddle.net/hv8sw6km/ and code snippet below:
/* Prepare data */
rawData = [
{"ID":"00000001","User":"Alice","Date":"20/02/2019","Tag":"apple"},
{"ID":"00000002","User":"Bob","Date":"17/02/2019","Tag":"dragonfruit"},
{"ID":"00000003","User":"Alice","Date":"21/02/2019","Tag":"banana"},
{"ID":"00000004","User":"Alice","Date":"22/02/2019","Tag":"cherry"},
{"ID":"00000005","User":"Bob","Date":"23/02/2019","Tag":"cherry"},
];
var data = [];
var parseDate = d3.timeParse("%d/%m/%Y");
rawData.forEach(function(d) {
d.Date = parseDate(d.Date);
data.push(d);
});
var ndx = crossfilter(data);
/* Set up dimensions, groups etc. */
var dateDim = ndx.dimension(function(d) {return d.Date;});
var dateGrp = dateDim.group();
var tagsDim = ndx.dimension(function(d) {return d.Tag;});
var tagsGrp = tagsDim.group();
var authorDim = ndx.dimension(function(d) { return d.User; });
/* Following stacked bar chart example at
https://dc-js.github.io/dc.js/examples/stacked-bar.html
adapted for context. */
var authorGrp = authorDim.group().reduce(
function reduceAdd(p,v) {
p[v.Tag] = (p[v.Tag] || 0) + 1;
p.total += 1;
return p;
},
function reduceRemove(p,v) {
p[v.Tag] = (p[v.Tag] || 0) - 1;
p.total -= 1;
return p;
},
function reduceInit() { return { total: 0 } }
);
var minDate = dateDim.bottom(1)[0].Date;
var maxDate = dateDim.top(1)[0].Date;
var fruitColors = d3
.scaleOrdinal()
.range(["#00CC00","#FFFF33","#CC0000","#CC00CC"])
.domain(["apple","banana","cherry","dragonfruit"]);
/* Create charts */
var articlesByDay = dc.lineChart("#chart-articlesperday");
articlesByDay
.width(500).height(200)
.dimension(dateDim)
.group(dateGrp)
.x(d3.scaleTime().domain([minDate,maxDate]));
var tagsPie = dc.pieChart("#chart-article-tags");
tagsPie
.width(150).height(150)
.dimension(tagsDim)
.group(tagsGrp)
.colors(fruitColors)
.ordering(function (d) { return d.key });
var reviewerOrdering = authorGrp
.all()
// .sort(function (a, b) { return a.value.total - b.value.total })
.map(function (d) { return d.key });
var tagsByAuthor = dc.barChart("#chart-tags-by-reviewer");
tagsByAuthor
.width(600).height(400)
.x(d3.scaleBand().domain(reviewerOrdering))
.xUnits(dc.units.ordinal)
.dimension(authorDim)
.colors(fruitColors)
.elasticY(true)
.title(function (d) { return d.key + ": " + this.layer + ": " + d.value[this.layer] });
function sel_stack(i) {
return function(d) {
return d.value[i];
};
}
var tags = tagsGrp
.all()
.sort(function(a,b) { return b.value - a.value})
.map(function (d) { return d.key });
tagsByAuthor.group(authorGrp, tags[0]);
tagsByAuthor.valueAccessor(sel_stack(tags[0]));
tags.shift(); // drop the first, as already added as .group()
tags.forEach(function (tag) {
tagsByAuthor.stack(authorGrp, tag, sel_stack(tag));
});
dc.renderAll();
<script src="https://d3js.org/d3.v5.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/crossfilter2/1.4.7/crossfilter.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/dc/3.1.1/dc.min.js"></script>
<div id="chart-articlesperday"></div>
<div id="chart-article-tags"></div>
<div id="chart-tags-by-reviewer"></div>
As you can see, Alice has made three articles, each tagged with "apple", "banana" and "cherry" respectively, and her stacked bar chart shows this.
However whenever her column of the bar chart is clicked, the pie chart instead shows her as having 1 "apple" and 2 "cherry".
It took me a very long time even to get to this point, so it may be that there's something fundamental I'm not getting about crossfilter groupings, so any insights, tips or comments are very welcome.
Indeed, this is very weird behavior, and I wouldn't know what to think except that I have faced it a few times before.
If you look at the documentation for group.all(), it warns:
This method is faster than top(Infinity) because the entire group array is returned as-is rather than selecting into a new array and sorting. Do not modify the returned array!
I guess otherwise it might start modifying the wrong bins when aggregating. (Just a guess, I haven't traced through the code.)
You have:
var tags = tagsGrp
.all()
.sort(function(a,b) { return b.value - a.value})
.map(function (d) { return d.key });
Adding .slice(), to copy the array, fixes it:
var tags = tagsGrp
.all().slice()
.sort(function(a,b) { return b.value - a.value})
.map(function (d) { return d.key });
working fork of your fiddle
We actually have an open bug where the library does this itself. Ugh! (Easy enough to fix, but a little work to produce a test case.)

dc.js geoChoroplethChart doesn't display legend

I'm trying to plot a dc choropleth , but somehow the legend is not showing up.
Here is the sample fiddle :
http://jsfiddle.net/susram/9VJHe/56/
usChart
.width(1200)
.height(500)
.dimension(state_dim)
.group(latest_mean_sqft_per_state)
//.colors(d3.scale.quantize().range(["#E2F2FF", "#C4E4FF", "#9ED2FF", "#81C5FF", "#6BBAFF", "#51AEFF", "#36A2FF", "#1E96FF", "#0089FF", "#0061B5"]))
.colors(d3.scale.quantize().range(["#fff7fb","#ece2f0","#d0d1e6","#a6bddb","#67a9cf","#3690c0","#02818a","#016c59","#014636"]))
//.colors(d3.scale.quantize().range(d3.schemeBlues()(9)))
.colorDomain([0, 500])
//.colorAccessor(function (d) { /*console.log(d);*/ return d? usChart.colors(d.avg_psft) : '#ccc'; })
.colorAccessor(function (d) { /*console.log(d);*/ return d.avg_psft; })
.overlayGeoJson(statesJson.features, "state", function (d) {
return d.properties.name;
})
.valueAccessor(function(kv) {
console.log(kv);
return kv.value;
})
.title(function (d) {
return "State: " + d.key + "\nAverage Price per SqFt: " + numberFormat(d.value.avg_psft ? d.value.avg_psft : 0) + "M";
})
.legend(dc.legend().x(1300).y(80).itemHeight(13).gap(5));
Why is the legend showing up as 0x0 ?
I've been trying to get the legend to work with geoChoroplethCharts as well and unfortunately legend support appears to not have been implemented yet in dc. There are a few functions (legendables, legendHighlight, legendReset, legendToggle, ect...) that were defined in the dc base-mixin and would need to be extended before legend support would work.
For an example take a look at the source for pieChart:
https://github.com/dc-js/dc.js/blob/develop/src/pie-chart.js
Versus the soruce for geoChoroplethChart:
https://github.com/dc-js/dc.js/blob/develop/src/geo-choropleth-chart.js
You'll notice at the bottom of the pieChart source that the related legend functions were extended. I belive something similar would need to be done for the geoChoroplethChart source code.
EDIT:
I worked off your jsfiddle and was able to get a bare bones label to display on the geoChoroplethChart: http://jsfiddle.net/Lx3x929v/2/
usChart.legendables = function () {
return usChart.group().all().map(function (d, i) {
var legendable = {name: d.key, data: d.value, others: d.others,
chart: usChart};
legendable.color = usChart.colorCalculator()(d.value);
return legendable;
});
};
Here is my modification —for a continuous map— from #MarcTifrea 's solution and comment.
chart.legendables = function () {
var domain = chart.colorDomain();
return domain.map(function (d, i) {
var legendable = {name: parseFloat((Math.round(domain[i] * 100000) /100000).toPrecision(2)) , chart: chart};
if (i==1) legendable.name += ' unit'; // add the unit only in second(last) legend item
legendable.color = chart.colorCalculator()(domain[i]);
return legendable;
});
};
chart.legend(
dc.legend()
.x(width/4)
.y(height*4/5)
.itemHeight(height/30)
// .itemWidth(width/25)
.gap(5)
// .horizontal(1)
// .autoItemWidth(1)
);

highlight image class on hover imagemap

In addition to this question Highlight text when hover imagemap area and vice versa - using imagemapster I'm searching for a solution to add a class to an image outside the imagemap. The intention is when hovering on a part of the imagemap a line is showing beneath a image above the imagemap. For an example and partly working script (which is based on the question above): http://jsfiddle.net/kyzho2v4/3/
jQuery(document).ready(function ($) {
$('#house').mapster({
mapKey: 'name',
singleSelect: true,
fillOpacity: 0.6,
fillColor: 'FF0000',
//
onMouseover: function (evt) {
var parts = evt.key.split('-');
var part = parts[1];
highlightArea(part);
},
//
onMouseout: function (evt) {
var parts = evt.key.split('-');
var part = parts[1];
highlightAreaX(part);
}
});
//
$('a').hover(function () {
var parts = $(this).closest('div').attr('class').split('-');
var part = parts[2];
highlightArea(part);
});
//
$('a').mouseleave(function () {
var parts = $(this).closest('div').attr('class').split('-');
var part = parts[2];
highlightAreaX(part);
});
});
//
function highlightArea(key) {
$('area[name=part-' + key + ']').mouseenter();
$('a').addClass('line');
$('div.menu-item-' + key + ' a').addClass('line');
}
//
function highlightAreaX(key) {
$('area[name=part-' + key + ']').mouseout();
$('a').removeClass('line');
$('div.menu-item-' + key + ' a').removeClass('line');
}
Posted OP's answer as an answer:
I found a solution, so for those who are searching the same thing: I only added a new css class (line1) and changed the jquery script a little bit: http://jsfiddle.net/88c0odmn/7/
//
function highlightArea(key) {
$('area[name=part-' + key + ']').mouseenter();
$('div.menu-item-' + key + ' a').addClass('line1');
}
//
function highlightAreaX(key) {
$('area[name=part-' + key + ']').mouseout();
$('a').removeClass('line');
$('div.menu-item-' + key + ' a').removeClass('line1');
}

Dynamic filtering with D3

I'm quite new to D3 and coding in general. I'm trying to set up a bar chart which includes/excludes data depending on a checkbox. I have a set of product groups and countries which I want to toggle in/out of the total represented by the bar. The output should be one bar per product.
My full data set has many more products, product groups and countries so it is not viable to create a key-value pair for each potential combination of checkboxes. Instead I would like to create a function that re-evaluates the checkboxes and re-filters the data and updates the rollup when a checkbox is changed.
I'm not sure where this function should sit in my code or what it should look like... This is what I'm working with at the moment:
var data = data.filter(function(d) {
if (document.getElementById("nz_button").checked) {
return d.country == 'NZ'
}
if (document.getElementById("au_button").checked) {
return d.country == 'AU'
}
if (document.getElementById("us_button").checked) {
return d.country == 'US'
}
})
// to see how many distinct groups there are and sum volume
var products = d3.nest()
.key(function(d) {
return d.product
})
.rollup(function(leaves) {
var sum = 0;
leaves.forEach(function(d) {
sum += d.volume;
})
return sum
})
.entries(data);
Full code: http://plnkr.co/edit/qezdwMLt48RPc8KH17hS?p=preview
Maybe I should be working with selections and re-running the nest/rollup when required?
Any help appreciated. Thanks :)
You can move the full code which makes the graph in a new function like this:
function makeDataGraph(data) {//function to make the graph.
//
// FILTER
//
var data = data.filter(function(d) {
if (document.getElementById("au_button").checked) {
return d.country == 'AU'
}
if (document.getElementById("us_button").checked) {
return d.country == 'US'
}
if (document.getElementById("nz_button").checked) {
return d.country == 'NZ'
}
})
// to see how many distinct groups there are and sum volume
var products = d3.nest()
.key(function(d) {
return d.product
})
.rollup(function(leaves) {
var sum = 0;
leaves.forEach(function(d) {
sum += d.volume;
})
return sum
})
.entries(data);
// sorting on descending total
console.log(products);
products.sort(function(a, b) {
return b.values - a.values
})
var max = d3.max(products, function(d) {
return d.values;
});
var xscale = d3.scale.linear()
.domain([0, max])
.range([0, 600])
var svg = d3.select("svg");
//
// Still needs to be cleaned up \/ \/
//
var rects = svg.selectAll("rect.product")
.data(products)
rects.exit().remove();
rects.enter().append("rect").classed("product", true)
rects.attr({
x: 200,
y: function(d, i) {
return 100 + i * 50
},
width: function(d, i) {
return xscale(d.values)
},
height: 50
}).on("click", function(d, i) {
console.log(i, d);
})
var labels = svg.selectAll("text.label")
.data(products)
labels.exit().remove();
labels.enter().append("text").classed("label", true)
labels.attr({
x: 195,
y: function(d, i) {
return 128 + i * 50
},
"text-anchor": "end",
"alignment-baseline": "middle"
}).text(function(d) {
return d.key || "N/A"
})
var volume = svg.selectAll("text.volume")
.data(products);
volume.exit().remove();
volume.enter().append("text").classed("volume", true)
volume.attr({
x: function(d, i) {
return 205 + xscale(d.values)
},
y: function(d, i) {
return 128 + i * 50
},
"text-anchor": "start",
"alignment-baseline": "middle"
}).text(function(d) {
return d.values || "N/A"
})
}
Remember to do rects.exit().remove(); so that when the data is changed on click of the checkbox, rectangles related to old data is removed.
Now you can call this function from the click event and also afterloading the tsv like this:
d3.tsv("data.tsv", function(err, udata) {
var udata = udata.map(process);
console.log("udata", udata);
var data = udata // making new var to preserve unfiltered data
makeDataGraph(data);//call the function to make graph
function handleClick() { // event handler...
makeDataGraph(data)
}
//add listener to all check boxes.
d3.selectAll(".filter_button").on("click", handleClick);
});
working code here

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