Javascript D3：加载多个CSV文件，并使用平行坐标将其可视化
我有4个csv文件（比如4个类），每个都有100x200个元素（100个案例，200个特征）。 我需要使用平行坐标来可视化其中的一些功能（功能1、功能2、…、功能8；因此每个csv文件都有100x8）。要识别这些类，我需要使用4种不同的颜色 我已经有了平行坐标，可以在一个csv文件中可视化数据（100x10）。代码如下：Javascript D3：加载多个CSV文件，并使用平行坐标将其可视化,javascript,csv,d3.js,parallel-coordinates,Javascript,Csv,D3.js,Parallel Coordinates,我有4个csv文件（比如4个类），每个都有100x200个元素（100个案例，200个特征）。 我需要使用平行坐标来可视化其中的一些功能（功能1、功能2、…、功能8；因此每个csv文件都有100x8）。要识别这些类，我需要使用4种不同的颜色 我已经有了平行坐标，可以在一个csv文件中可视化数据（100x10）。代码如下： <style type="text/css"> svg { font: 10px sans-serif; }
<style type="text/css">
svg {
font: 10px sans-serif;
}
.background path {
fill: none;
stroke: #ccc;
stroke-opacity: .1;
shape-rendering: crispEdges;
}
.foreground path {
fill: none;
stroke: steelblue;
stroke-opacity: .7;
}
.brush .extent {
fill-opacity: .3;
stroke: #fff;
shape-rendering: crispEdges;
}
.axis line, .axis path {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.axis text {
text-shadow: 0 1px 0 #fff;
cursor: move;
}
</style>
</head>
<body>
<script type="text/javascript">
var m = [30, 10, 10, 10],
w = 1300 - m[1] - m[3],
h = 500 - m[0] - m[2];
var x = d3.scale.ordinal().rangePoints([0, w], 1),
y = {},
dragging = {};
var line = d3.svg.line(),
axis = d3.svg.axis().orient("left"),
background,
foreground;
var svg = d3.select("body").append("svg:svg")
.attr("width", w + m[1] + m[3])
.attr("height", h + m[0] + m[2])
.append("svg:g")
.attr("transform", "translate(" + m[3] + "," + m[0] + ")");
d3.csv("myData.csv")
.row(function(d) {
return {
// Features that are needed to be visualize
feature1 : d.feature1,
feature2 : d.feature2,
feature3 : d.feature3,
feature4 : d.feature4,
feature5 : d.feature5,
feature6 : d.feature6,
feature7 : d.feature7,
feature8 : d.feature8
};
})
.get(function(e, data) {
x.domain(
dimensions = d3.keys(data[0])
.filter(function(d) {
return d != "source" &&
(y[d] = d3.scale.linear()
.domain(d3.extent(data, function(p) { return +p[d]; }))
.range([h, 0]));
}
));
// Add grey background lines for context.
background = svg.append("svg:g")
.attr("class", "background")
.selectAll("path")
.data(data)
.enter().append("svg:path")
.attr("d", path);
// Add blue foreground lines for focus.
foreground = svg.append("svg:g")
.attr("class", "foreground")
.selectAll("path")
.data(data)
.enter().append("svg:path")
.attr("d", path);
// Add a group element for each dimension.
var g = svg.selectAll(".dimension")
.data(dimensions)
.enter().append("svg:g")
.attr("class", "dimension")
.attr("transform", function(d) { return "translate(" + x(d) + ")"; })
.call(d3.behavior.drag()
.on("dragstart", function(d) {
dragging[d] = this.__origin__ = x(d);
background.attr("visibility", "hidden");
})
.on("drag", function(d) {
dragging[d] = Math.min(w, Math.max(0, this.__origin__ += d3.event.dx));
foreground.attr("d", path);
dimensions.sort(function(a, b) { return position(a) - position(b); });
x.domain(dimensions);
g.attr("transform", function(d) { return "translate(" + position(d) + ")"; })
})
.on("dragend", function(d) {
delete this.__origin__;
delete dragging[d];
transition(d3.select(this)).attr("transform", "translate(" + x(d) + ")");
transition(foreground)
.attr("d", path);
background
.attr("d", path)
.transition()
.delay(500)
.duration(0)
.attr("visibility", null);
}));
// Add an axis and title.
g.append("svg:g")
.attr("class", "axis")
.each(function(d) { d3.select(this).call(axis.scale(y[d])); })
.append("svg:text")
.attr("text-anchor", "middle")
.attr("y", -9)
.text(String);
// Add and store a brush for each axis.
g.append("svg:g")
.attr("class", "brush")
.each(function(d) { d3.select(this).call(y[d].brush = d3.svg.brush().y(y[d]).on("brush", brush)); })
.selectAll("rect")
.attr("x", -8)
.attr("width", 16);
});
function position(d) {
var v = dragging[d];
return v == null ? x(d) : v;
}
function transition(g) {
return g.transition().duration(500);
}
// Returns the path for a given data point.
function path(d) {
return line(dimensions.map(function(p) { return [position(p), y[p](d[p])]; }));
}
// Handles a brush event, toggling the display of foreground lines.
function brush() {
var actives = dimensions.filter(function(p) { return !y[p].brush.empty(); }),
extents = actives.map(function(p) { return y[p].brush.extent(); });
foreground.style("display", function(d) {
return actives.every(function(p, i) {
return extents[i][0] <= d[p] && d[p] <= extents[i][1];
}) ? null : "none";
});
}
</script>
</body>
其次，我应该如何为它们所属的csv文件的行着色？要异步加载多个文件，可以使用队列库，例如 然后，加载文件后，可以在单个重叠的
gvar q = queue(), // create the queue
dataSources = [ // your data sources
'dataSource1.csv',
'dataSource2.csv',
...
],
colorScale = d3.scale.category20(); // categorical color scale bundled with d3
// Returns a different color for elements based on their index in the data:
function colorByIndex(d, i) {
return colorScale(i);
}
// Go through each data source and add it to the queue:
dataSources.forEach(function (source) {
q.defer(function (callback) {
d3.csv(source, callback);
});
});
// Wait for all requests to be completed:
q.awaitAll(function (error, results) {
// TODO: check for errors!
// Select and create groups of elements that are to be colored differently:
d3.selectAll('.group').data(results) // array of arrays
.append('g')
.style('color', colorByIndex) // this applies color to the entire group
.selectAll('???') // whatever you render, paths perhaps
.data(function (d) { return d; })
...
// at this point the d variable is an array of data
// straight from each of your csv files, you can
// proceed rendering as you usually do and there's
// no longer need to apply any colors
});
结果['dataSource1.csv', 'a1', 'b1', 'c1', ...],
['dataSource1.csv', 'a2', 'b2', 'c2', ...],
['dataSource2.csv', 'a3', 'b3', 'c3', ...],
...
然后根据指示器的值应用颜色。谢谢您的回答。我正在尝试将您的代码放入我的代码中。我应该在哪里选择我感兴趣的功能？我应该把这个代码放在“.row（function（d）{return{//需要可视化功能1:d.feature1、功能2:d.feature2、功能3:d.feature3、功能4:d.feature4、功能5:d.feature5、功能6:d.feature6、功能7、功能8:d.feature8}}）”而不是“return d；”在您的代码中？@sara_123您可以直接从
.data（函数（d）{return d；}）return d；['dataSource1.csv', 'a1', 'b1', 'c1', ...],
['dataSource1.csv', 'a2', 'b2', 'c2', ...],
['dataSource2.csv', 'a3', 'b3', 'c3', ...],
...