我是使用js和d3的新生。如何缩放散点图矩阵图?
我做了什么
我不确定这是否是正式的方式。 另一方面,我想放大此图表,但我不知道该怎么做。
据我了解
d3.event.transform.rescaleX/rescaleY
来重新缩放轴,这似乎可行,但是我该如何在画布上进行操作,如何获取有效点以重绘? viewBox="0 0 ' + width * scalar + ' ' + height
缩放后的大型svg,还有其他方法可以显示大尺寸的图像吗?< / strong>
draw_spm = function(data) {
var width = 700, traits = d3.keys(data[0]),
domain = {}, n = traits.length,
pointRadius = 1;
var size = width / n,
padding = size / 10;
var x = d3.scaleLinear().range([padding / 2, size - padding / 2]),
y = d3.scaleLinear().range([size - padding / 2, padding / 2]);
var x_axis = d3.axisBottom().scale(x).ticks(6),
y_axis = d3.axisLeft().scale(y).ticks(6);
traits.forEach(function(t) {
domain[t] = d3.extent(data, function(d) { return d[t]; });
});
x_axis.tickSize(size * n);
y_axis.tickSize(-size * n);
var zoom = d3.zoom()
.on('zoom', zoomed);
var svg = d3.select('#spm-svg')
.attr('class', 'plot svg-scatterplot')
.attr('width', size * n + 4*padding)
.attr('height', size * n + 4*padding)
.append('g')
.attr('transform', 'translate('+4*padding+','+padding/2+')');
var x_axis_svg = svg.selectAll('.x.axis')
.data(traits)
.enter().append('g')
.attr('class', 'x axis')
.attr('transform', function(d, i) { return 'translate('+size*i+',0)'; })
.each(function(d) { x.domain(domain[d]); d3.select(this).call(x_axis); });
var y_axis_svg = svg.selectAll('.y.axis')
.data(traits)
.enter().append('g')
.attr('class', 'y axis')
.attr('transform', function(d, i) { return 'translate(0,'+size*i+')'; })
.each(function(d) { y.domain(domain[d]); d3.select(this).call(y_axis); });
var canvas = d3.select('#spm-canvas')
.attr('width', size*n+4*padding)
.attr('height', size*n+4*padding)
.style('transform', 'translate('+4*padding+','+padding/2+')');
var ctx = canvas.node().getContext('2d');
ctx.fillStyle = 'steelblue';
var cell = svg.selectAll('.cell')
.data(cross(traits, traits))
.enter().append('g')
.attr('class', 'cell')
.attr('transform', function(d) {
return 'translate(' + d.i*size + ',' + d.j*size + ')';
})
.each(draw);
canvas.call(zoom).on('dblclick.zoom', null);
function draw(p) {
var cell = d3.select(this);
ctx.resetTransform();
ctx.transform(1, 0, 0, 1, p.i*size+4*padding, p.j*size+padding/2);
x.domain(domain[p.x]);
y.domain(domain[p.y]);
function draw_point(d) {
ctx.beginPath();
ctx.arc(x(d[p.x]), y(d[p.y]), pointRadius, 0, 2*Math.PI);
ctx.closePath();
ctx.fill();
ctx.stroke();
}
cell.append('rect')
.attr('class', 'frame')
.attr('x', padding / 2)
.attr('y', padding / 2)
.attr('width', size - padding)
.attr('height', size - padding);
data.forEach(function(d) {
draw_point(d);
});
}
function zoomed() {
// how to do this?
};
function cross(a, b) {
var c = [], n = a.length, m = b.length, i, j;
for (i = -1; ++i < n;)
for (j = -1; ++j < m;)
c.push({x: a[i], i: i, y: b[j], j: j});
return c;
}
};
cols = ['x0','x1','x2','x3','x4'];
function _data() {
var d = {};
for (var i = 0; i < cols.length; i++) {
d[cols[i]] = Math.floor(Math.random() * 10000);
}
return d;
}
var data = [];
for (var i = 0; i < 1000; i++) {
data[i] = _data();
}
draw_spm(data);
.svg-scatterplot .axis,.frame {shape-rendering:crispEdges;}
.svg-scatterplot .axis line {stroke:#ddd;}
.svg-scatterplot .axis path {display:none;}
.svg-scatterplot .cell text {font-weight:bold;text-transform: capitalize;fill: black;}
.svg-scatterplot .frame {fill:none;stroke:#aaa;}
.svg-scatterplot circle {fill-opacity:.7;}
.svg-scatterplot circle.hidden {fill:#ccc !important;}
.svg-scatterplot .extent {fill:#000;fill-opacity:.125;stroke:#fff;}
.plot {position: absolute;}
#spm-canvas {z-index: 2;}
#spm-svg {z-index: 1;}
<script src="https://d3js.org/d3.v4.min.js"></script>
<svg id="spm-svg" class="plot"></svg>
<canvas id="spm-canvas" class="plot"></canvas>
感谢您的帮助