D3 Canvas ImageData w/ Constrained Zooming and Marginal Distributions

README.md

Implements constrained zooming of an image constructed from a data-driven ImageData object placed onto an HTML5 Canvas while giving the marginal distributions of the underlying data. Borrows heavily from https://gist.github.com/mbostock/3074470 and https://gist.github.com/tommct/8049508.

heatmap.json

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index.html

<!DOCTYPE html>
<meta charset="utf-8">
<title>Canvas ImageData Zoom w/ Marginals</title>
<style>
body {
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   image-rendering: crisp-edges;
   -ms-interpolation-mode: nearest-neighbor;  /* IE (non-standard property) */
}
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<body>
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var total_width = 500,
    total_height = 500,
    margin = {top: 40, left: 40, bottom: total_height*.8, right: total_width *.8},
    bottompanel_margin = {top: margin.bottom, bottom: total_height-30, left: margin.left, right: margin.right},
    rightpanel_margin = {top: margin.top, left: margin.right, bottom: margin.bottom, right: total_width-30},
    width = margin.right-margin.left,//total_width - margin.left - margin.right,
    height = margin.bottom - margin.top,//total_height - margin.top - margin.bottom,
    bottompanel_height = bottompanel_margin.bottom - bottompanel_margin.top,
    rightpanel_width = rightpanel_margin.right - rightpanel_margin.left;

var xmin = 0;
var xmax = width;
var ymin = 0;
var ymax = height;

var ctx;
var imageObj = new Image();

// The 0.5 offset makes the scale ones-based, making it so that tick marks
// are centered in the pixel.
var x = d3.scale.linear()
        .domain([xmin+.5, xmax+.5])
        .range([0.5, width+.5]);

var y = d3.scale.linear()
        .domain([ymin+.5, ymax+.5])
        .range([0, height]);

var bottompanel_y = d3.scale.linear()
        .domain([ymin+.5, ymax+.5])
        .range([bottompanel_height, 0]);

var rightpanel_x = d3.scale.linear()
        .domain([xmin+.5, xmax+.5])
        .range([0, rightpanel_width]);

var xAxis = d3.svg.axis()
        .scale(x)
        .orient("bottom")
        .tickSize(-height-bottompanel_height); // tickLine == gridline

var yAxis = d3.svg.axis()
        .scale(y)
        .orient("left")
        .tickSize(-width-rightpanel_width); // tickLine == gridline

var bottompanel_xAxis = d3.svg.axis()
        .scale(x)
        .orient("bottom");

var bottompanel_yAxis = d3.svg.axis()
        .scale(bottompanel_y)
        .ticks(3)
        .orient("left");

var rightpanel_xAxis = d3.svg.axis()
        .scale(rightpanel_x)
        .ticks(3)
        .orient("bottom");

var rightpanel_yAxis = d3.svg.axis()
        .scale(y)
        .orient("right");

var zoom = d3.behavior.zoom()
        .x(x)
        .y(y)
        .scaleExtent([1, 100])
        .on("zoom", refresh);

var color = d3.scale.linear()
    .domain([0, .5, 1])
    .range(["#eff3ff", "#6baed6", "#08519c"]);
    
var canvas = d3.select("body").append("canvas")
        .attr("transform", "translate(" + margin.left + "," + margin.top + ")")
        .style("left", margin.left + "px")
        .style("top", margin.top + "px")
        .style("width", width + "px")
        .style("height", height + "px")
        .style("position", "absolute");

var svg = d3.select("body").append("svg")
    .attr("width", total_width)
    .attr("height", total_height)
  .append("g")
    .attr("transform", "translate(" + margin.left + "," + margin.top + ")");

// We make an invisible rectangle to intercept mouse events for zooming.
svg.append("rect")
    .attr("width", width)
    .attr("height", height)
    .style("fill", "000")
    .style("opacity", 1e-6)
    .call(zoom);

svg.append("g")
        .attr("class", "y axis grid")
        .call(yAxis)
        .call(removeZero);

var bottompanel_context = svg.append("g")
        .attr("transform", "translate(0," + (bottompanel_margin.top - margin.top) + ")");

svg.append("defs").append("clipPath")
    .attr("id", "bottomclip")
  .append("rect")
    .attr("width", width)
    .attr("height", bottompanel_height);

bottompanel_context.append("path")
        .attr("clip-path", "url(#bottomclip)");

bottompanel_context.append("g")
        .attr("class", "x axis")
        .attr("transform", "translate(0," + bottompanel_height + ")")
        .call(bottompanel_xAxis)
        .call(removeZero);
bottompanel_context.append("g")
        .attr("class", "x axis grid")
        .attr("transform", "translate(0," + bottompanel_height + ")")
        .call(zoom)
        .call(xAxis)
        .call(removeZero);

bottompanel_context.append("g")
        .attr("class", "y axis")
        .call(bottompanel_yAxis)
        .call(removeZero);

var rightpanel_context = svg.append("g")
        .attr("transform", "translate(" + (rightpanel_margin.left-margin.left) + ",0)");

svg.append("defs").append("clipPath")
    .attr("id", "rightclip")
  .append("rect")
    .attr("width", rightpanel_width)
    .attr("height", height);

rightpanel_context.append("path")
        .attr("clip-path", "url(#rightclip)");

rightpanel_context.append("g")
        .attr("class", "y axis")
        .attr("transform", "translate(" + rightpanel_width + ",0)")
        .call(rightpanel_yAxis)
        .call(removeZero);

rightpanel_context.append("g")
        .attr("class", "x axis")
        .attr("transform", "translate(0," + (rightpanel_margin.bottom-margin.top) + ")")
        .call(rightpanel_xAxis)
        .call(removeZero);

var columnsum_line = d3.svg.line()
        .x(function(d) { return x(d[0]); })
        .y(function(d) { return bottompanel_y(d[1]); });

var rowsum_line = d3.svg.line()
        .y(function(d) { return y(d[0]); })
        .x(function(d) { return rightpanel_x(d[1]); });

var heatmap;

// Keep an eye out for "translateExtent" or "xExtent" methods that may be
// added at some point to bound the limits of zooming and panning. Until then,
// this works.
function refresh() {
    var t = zoom.translate();
    var s = zoom.scale();
    var tx = t[0],
        ty = t[1];
    var xdom = x.domain();
    var reset_s = 0;
    if ((xdom[1] - xdom[0]) >= (xmax - xmin)) {
        zoom.x(x.domain([xmin+.5, xmax+.5]));
        xdom = x.domain();
        reset_s = 1;
    }
    var ydom = y.domain();
    if ((ydom[1] - ydom[0]) >= (ymax - ymin)) {
        zoom.y(y.domain([ymin+.5, ymax+.5]));
        ydom = y.domain();
        reset_s += 1;
    }
    if (reset_s == 2) { // Both axes are full resolution. Reset.
        zoom.scale(1);
        tx = 0;
        ty = 0;
    }
    else {
        if (xdom[0] < xmin + .5) {
            tx = 0;
            x.domain([xmin+.5, xdom[1] - xdom[0] + xmin+.5]);
            xdom = x.domain();
        }
        if (xdom[1] > xmax + .5) {
            xdom[0] -= xdom[1] - xmax;
            tx = -xdom[0]*width/(xmax-xmin)*s;
            x.domain([xdom[0]+.5, xmax+.5]);
        }
        if (ydom[0] < ymin + .5) {
            y.domain([ymin+.5, ydom[1] - ydom[0] + ymin+.5]);
            ydom = y.domain();
            // Image origin = (top,left)
            ty = 0;
            // If image origin = (bottom,left), uncomment next line.
            // ty = -(ymax-ydom[1])*height/(ymax-ymin)*s;
        }
        if (ydom[1] > ymax + .5) {
            ydom[0] -= ydom[1] - ymax;
            ty = -ydom[0]*height/(ymax-ymin)*s;
            // If image origin = (bottom, left), uncomment next line.
            // ty = 0;
            y.domain([ydom[0]+.5, ymax+.5]);
        }
    }
    // Reset (possibly) if hit an edge so that next focus event starts correctly.
    zoom.translate([tx, ty]);

    ctx.drawImage(imageObj, 
        tx*imageObj.width/width, ty*imageObj.height/height,
        imageObj.width*s, imageObj.height*s);
    draw_column_sum();
    draw_row_sum();
    bottompanel_context.selectAll(".x.axis").call(bottompanel_xAxis).call(removeZero);
    bottompanel_context.selectAll(".y.axis").call(bottompanel_yAxis).call(removeZero);
    rightpanel_context.selectAll(".x.axis").call(rightpanel_xAxis).call(removeZero);
    rightpanel_context.selectAll(".y.axis").call(rightpanel_yAxis).call(removeZero);
    svg.selectAll(".x.axis.grid").call(xAxis).call(removeZero);
    svg.selectAll(".y.axis.grid").call(yAxis).call(removeZero);
}

function removeZero(axis) {
    axis.selectAll("g").filter(function(d) { return !d; }).remove();
}

var sum = function(arr) {
    return arr.reduce(function(a, b){ return a + b; }, 0);
};

d3.json("heatmap.json", function(error, json) {
    heatmap = json;
    xmax = heatmap[0].length,
    ymax = heatmap.length;
    x.domain([0+.5, xmax+.5]);
    y.domain([0+.5, ymax+.5]);
    d3.select("canvas")
        .attr("width", xmax)
        .attr("height", ymax)
        .attr("transform", "translate(" + margin.left + "," + margin.top + ")")
        .call(drawImage);

  // Compute the pixel colors; scaled by CSS.
    function drawImage(canvas) {
        ctx = canvas.node().getContext("2d");
        var img = ctx.createImageData(xmax, ymax);
        for (var y = 0, p = -1; y < ymax; ++y) {
            for (var x = 0; x < xmax; ++x) {
                var c = d3.rgb(color(heatmap[y][x]));
                img.data[++p] = c.r;
                img.data[++p] = c.g;
                img.data[++p] = c.b;
                img.data[++p] = 255;
            }
        }
        // Keeping pixels as nearest neighbor (as anti-aliased as we can get
        // without doing more programming) allows us to see how the marginals
        // line up when zooming in a lot.
        ctx.mozImageSmoothingEnabled = false;
        ctx.webkitImageSmoothingEnabled = false;
        ctx.msImageSmoothingEnabled = false;
        ctx.imageSmoothingEnabled = false;
        ctx.putImageData(img, 0, 0);
        imageObj.src = canvas.node().toDataURL();
    }
    draw_column_sum();
    draw_row_sum();
    refresh();
});

var draw_column_sum = function () {
    var cropped = heatmap.slice(Math.floor(y.domain()[0]), Math.ceil(y.domain()[1]));
    cropped = d3.transpose(cropped);
    cropped = cropped.slice(Math.floor(x.domain()[0]), Math.ceil(x.domain()[1]));
    var column_sum = cropped.map(sum);

    bottompanel_y.domain([d3.min(column_sum)*.95, d3.max(column_sum)*1.05]);
    bottompanel_context.select("path")
        .datum(d3.zip(d3.range(
                Math.floor(x.domain()[0])+1, Math.floor(x.domain()[0])+column_sum.length+10),
                column_sum))
        .attr("class", "line")
        .attr("d", columnsum_line);

}

var draw_row_sum = function () {
    var cropped = heatmap.slice(Math.floor(y.domain()[0]), Math.ceil(y.domain()[1]));
    cropped = d3.transpose(cropped);
    cropped = cropped.slice(Math.floor(x.domain()[0]), Math.ceil(x.domain()[1]));
    var row_sum = d3.transpose(cropped).map(sum);

    rightpanel_x.domain([d3.min(row_sum)*.95, d3.max(row_sum)*1.05]);
    rightpanel_context.select("path")
        .datum(d3.zip(d3.range(
                Math.floor(y.domain()[0])+1, Math.floor(y.domain()[0])+row_sum.length+10),
                row_sum))
        .attr("class", "line")
        .attr("d", rowsum_line);

}

</script>

thumbnail.png