Scatter with image tooltip

index.js

var d3 = require('d3');
require('d3-multiaxis-zoom')(d3);
var inherits = require('inherits');
var utils = require('lightning-client-utils');
var _ = require('lodash');
var colorbrewer = require('colorbrewer');
var TooltipPlugin = require('d3-tip');
TooltipPlugin(d3);



var CustomScatter = function(selector, data, images, opts) {
    var margin = {
        top: 0,
        right: 0,
        bottom: 20,
        left: 45
    };

    var defaults = {
        tooltips: true
    };

    opts = _.defaults(opts || {}, defaults);

    this.opts = opts

    this.data = this._formatData(data)

    if(_.has(this.data, 'xaxis')) {
        margin.bottom = 57;
    }
    if(_.has(this.data, 'yaxis')) {
        margin.left = 70;
    }

    this.width = (opts.width || $(selector).width()) - margin.left - margin.right;
    this.height = Math.min(($(selector).height() || Infinity), (opts.height || (this.width * 0.6))) - margin.top - margin.bottom;

    this.selector = selector;
    this.defaultFill = '#deebfa'
    this.defaultStroke = '#68a1e5'
    this.defaultSize = 8
    this.defaultAlpha = 0.9
    this.margin = margin
    this._init();

};

inherits(CustomScatter, require('events').EventEmitter);


CustomScatter.prototype._init = function() {

    var tip;
    if(this.opts.tooltips) {
        var format = d3.format('.02f');
        tip = d3.tip()
            .attr('class', 'd3-tip')
            .html(function(d) {
                return '<img src="' + d.t + '"/><br>Label : ' + d.l ;
            });
    }


    var data = this.data
    var height = this.height
    var width = this.width
    var opts = this.opts
    var selector = this.selector
    var margin = this.margin
    var self = this

    var points = data.points

    var xDomain = d3.extent(points, function(d) {
            return d.x;
        });
    var yDomain = d3.extent(points, function(d) {
            return d.y;
        });

    var sizeMax = d3.max(points, function(d) {
            return d.s;
        });

    if (sizeMax) {
        var padding = sizeMax / 2
    } else {
        var padding = self.defaultSize / 2
    }

    var xRange = xDomain[1] - xDomain[0]
    var yRange = yDomain[1] - yDomain[0]

    this.x = d3.scale.linear()
        .domain([xDomain[0] - xRange * 0.1, xDomain[1] + xRange * 0.1])
        .range([0 + padding, width - padding]);

    this.y = d3.scale.linear()
        .domain([yDomain[0] - yRange * 0.1, yDomain[1] + yRange * 0.1])
        .range([height - padding , 0 + padding]);

    var zoom = d3.behavior.zoom()
        .x(this.x)
        .y(this.y)
        .on('zoom', zoomed);

    var svg = d3.select(selector)
        .append('svg')
        .attr('class', 'scatter-plot')
        .attr('width', width + margin.left + margin.right)
        .attr('height', height + margin.top + margin.bottom)
        .append('svg:g')
        .attr('transform', 'translate(' + margin.left + ',' + margin.top + ')')
        .call(zoom);

    if(this.opts.tooltips) {
        svg.call(tip);
    }

    svg.append('rect')
        .attr('width', width)
        .attr('height', height)
        .attr('class', 'plot');

    var makeXAxis = function () {
        return d3.svg.axis()
            .scale(self.x)
            .orient('bottom')
            .ticks(5);
    };

    var makeYAxis = function () {
        return d3.svg.axis()
            .scale(self.y)
            .orient('left')
            .ticks(5);
    };

    this.xAxis = d3.svg.axis()
        .scale(self.x)
        .orient('bottom')
        .ticks(5);

    svg.append('g')
        .attr('class', 'x axis')
        .attr('transform', 'translate(0, ' + height + ')')
        .call(self.xAxis);

    this.yAxis = d3.svg.axis()
        .scale(self.y)
        .orient('left')
        .ticks(5);

    svg.append('g')
        .attr('class', 'y axis')
        .call(self.yAxis);

    svg.append('g')
        .attr('class', 'x grid')
        .attr('transform', 'translate(0,' + height + ')')
        .call(makeXAxis()
                .tickSize(-height, 0, 0)
                .tickFormat(''));

    svg.append('g')
        .attr('class', 'y grid')
        .call(makeYAxis()
                .tickSize(-width, 0, 0)
                .tickFormat(''));


    var clipId = utils.getUniqueId();
    svg.append('svg:clipPath')
        .attr('id', clipId)
        .append('svg:rect')
        .attr('x', 0)
        .attr('y', 0)
        .attr('width', width)
        .attr('height', height);

    var chartBody = svg.append('g')
        .attr('clip-path', 'url(#' + clipId + ')');



    function darken(d, i) {
        if(self.opts.tooltips) {
            tip.show(d, i);
        }
        var point = d3.select(this)
        var newcolor = d3.hsl(point.style('fill')).darker(0.5)
        point.style('fill', d3.rgb(newcolor))
        self.emit('hover', d);
        console.log('in: ' + i);
    }

    function brighten(d, i) {
        if(self.opts.tooltips) {
            tip.hide(d, i);
        }
        var point = d3.select(this)
        var newcolor = d3.hsl(point.style('fill')).brighter(0.5)
        point.style('fill', d3.rgb(newcolor))
        console.log('out: ' + i);
    }

    chartBody.selectAll('.dot')
        .data(points)
      .enter().append('circle')
        .attr('class', 'dot')
        .attr('r', function(d) { return (d.s ? d.s: self.defaultSize)})
        .attr('transform', function(d) {
            return 'translate(' + self.x(d.x) + ',' + self.y(d.y) + ')';
        })
        .style('fill',function(d) { return (d.c ? d.c : self.defaultFill);})
        .style('stroke',function(d) { return (d.c ? d.c.darker(0.75) : self.defaultStroke);})
        .style('fill-opacity',function(d) { return (d.a ? d.a : self.defaultAlpha);})
        .style('stroke-opacity',function(d) { return (d.a ? d.a : self.defaultAlpha);})
        .on('mouseover', darken)
        .on('mouseout', brighten);

    function zoomed() {
        svg.select('.x.axis').call(self.xAxis);
        svg.select('.y.axis').call(self.yAxis);
        svg.select('.x.grid')
            .call(makeXAxis()
                .tickSize(-height, 0, 0)
                .tickFormat(''));
        svg.select('.y.grid')
            .call(makeYAxis()
                    .tickSize(-width, 0, 0)
                    .tickFormat(''));

        svg.selectAll('circle')
            .attr('transform', function(d) {
                return 'translate(' + self.x(d.x) + ',' + self.y(d.y) + ')';
            });
    }

    if(_.has(this.data, 'xaxis')) {
        var txt = this.data.xaxis;
        if(_.isArray(txt)) {
            txt = txt[0];
        }
        svg.append("text")
            .attr("class", "x label")
            .attr("text-anchor", "middle")
            .attr("x", width / 2)
            .attr("y", height + margin.bottom - 5)
            .text(txt);
    }
    if(_.has(this.data, 'yaxis')) {
        var txt = this.data.yaxis;
        if(_.isArray(txt)) {
            txt = txt[0];
        }

        svg.append("text")
            .attr("class", "y label")
            .attr("text-anchor", "middle")
            .attr("transform", "rotate(-90)")
            .attr("x", - height / 2)
            .attr("y", -50)
            .text(txt);
    }

    this.brighten = brighten;
    this.darken = darken;
    this.svg = svg;
    this.points = points;

}

CustomScatter.prototype._formatData = function(data) {

    retColor = utils.getColorFromData(data);
    retSize = data.size || [];
    retAlpha = data.alpha || [];

    var labels = data.label || [];
    var thumbnails = data.thumbnails || []
    console.log(thumbnails);

    var colorScale = d3.scale.category20c();
    data.points = data.points.map(function(d, i) {
        d.x = d[0];
        d.y = d[1];
        d.i = i;
        d.l = labels[i];
        d.c = d3.rgb(colorScale(d.l));
        d.t = thumbnails.length > 1 ? thumbnails[i] : null
        d.s = retSize.length > 1 ? retSize[i] : retSize[0];
        d.a = retAlpha.length > 1 ? retAlpha[i] : retAlpha[0];
        return d;
    })

    console.log(data.points);

    return data;

};


module.exports = CustomScatter;

sample-data.json

[
  {
    "name": "sample",
    "data": {
      "points": [[0,0],[10,10], [-10, 10], [-10, -10]],
      "label": [1,2,3,4],
      "thumbnails": [
        "data:image/jpeg;base64,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",
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",
        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",
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"
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]