我有一个平行坐标可视化，我在下面添加了一个表格，代表了可视化中的所有数据。
我想根据平行坐标可视化的选择来过滤表格。因此，只显示并行坐标可视化中突出显示的数据。
关于如何做到这一点的任何想法？
我已经尝试在画笔部分用红色突出显示表格中的单元格，为标签添加样式，但它似乎不起作用。请参阅以下代码：
// Add and store a brush for each axis.
g.append("g")
.attr("class", "brush")
.each(function(d) {
d3.select(this).call(y[d].brush = d3.svg.brush().y(y[d]).on("brushstart", brushstart).on("brush", brush));
d3.selectAll("td").style('bgcolor', 'red');
})
.selectAll("rect")
.attr("x", -8)
.attr("width", 16);
我试图在画笔功能中添加细胞的高光。在这里，我实现了所有细胞变红，但我不知道如何仅突出显示在选择中选择的细胞。
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";
});
d3.selectAll("td").style('background-color', 'red');
}
请参阅以下代码，您也可以在以下链接中找到该代码GitHub：
<!DOCTYPE html>
<meta charset="utf-8">
<style>
svg {
font: 10px sans-serif;
}
.background path {
fill: none;
stroke: #ddd;
shape-rendering: crispEdges;
}
.foreground path {
fill: none;
stroke: steelblue;
stroke-width: 2;
}
.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, 1px 0 0 #fff, 0 -1px 0 #fff, -1px 0 0 #fff;
cursor: move;
}
.tooltip {
background-color: rgba(220,220,220,0.5);
color: #333;
margin: 10px;
height: 25px;
padding-right: 10px;
padding-left: 10px;
padding-top: 10px;
-webkit-border-radius:10px;
-moz-border-radius:10px;
border-radius:10px;
}
td, th {
padding: 1px 4px;
}
</style>
<body>
<script src="http://d3js.org/d3.v3.min.js"></script>
<script>
// Fuente original: https://bl.ocks.org/jasondavies/1341281
var margin = {
top: 30,
right: 10,
bottom: 10,
left: 10
},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var x = d3.scale.ordinal().rangePoints([0, width], 1),
y = {},
dragging = {};
var line = d3.svg.line(),
axis = d3.svg.axis().orient("left"),
background,
foreground;
var svg = d3.select("body").append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var notas = [
{
"Nombre": "Emily",
"Matematicas": "10",
"Ciencias": "10",
"Historia": "8",
"Geografia": "8",
"Lengua": "10"
},
{
"Nombre": "Cooper",
"Matematicas": "10",
"Ciencias": "7",
"Historia": "2",
"Geografia": "8",
"Lengua": "10"
}];
var tooltip = d3.select("body")
.append("div")
.style("position", "absolute")
.style("z-index", "10")
.style("visibility", "hidden")
.text("a simple tooltip")
.attr("class","tooltip");
// Extract the list of dimensions and create a scale for each.
x.domain(dimensions = d3.keys(notas[0]).filter(function(d) {
return d != "Nombre" && (y[d] = d3.scale.linear()
.domain(d3.extent(notas, function(p) {
return +p[d];
}))
.range([height, 0]));
}));
// Add grey background lines for context.
background = svg.append("g")
.attr("class", "background")
.selectAll("path")
.data(notas)
.enter().append("path")
.attr("d", path);
// Add blue foreground lines for focus.
foreground = svg.append("g")
.attr("class", "foreground")
.selectAll("path")
.data(notas)
.enter().append("path")
.attr("d", path)
.on("mouseover", function(n){
d3.select(this)
.transition().duration(100)
.style({'stroke' : '#F00'});
tooltip.text(n.Nombre);
return tooltip.style("visibility", "visible");
})
.on("mousemove", function(){
return tooltip
.style("top", (event.pageY-10)+"px")
.style("left",(event.pageX+10)+"px");
})
.on("mouseout", function(d){
d3.select(this)
.transition().duration(100)
.style({'stroke': 'steelblue' })
.style({'stroke-width' : '2'});
return tooltip.style("visibility", "hidden");
});
// Add a group element for each dimension.
var g = svg.selectAll(".dimension")
.data(dimensions)
.enter().append("g")
.attr("class", "dimension")
.attr("transform", function(d) {
return "translate(" + x(d) + ")";
})
.call(d3.behavior.drag()
.origin(function(d) {
return {
x: x(d)
};
})
.on("dragstart", function(d) {
dragging[d] = x(d);
background.attr("visibility", "hidden");
})
.on("drag", function(d) {
dragging[d] = Math.min(width, Math.max(0, d3.event.x));
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 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("g")
.attr("class", "axis")
.each(function(d) {
d3.select(this).call(axis.scale(y[d]));
})
.append("text")
.style("text-anchor", "middle")
.attr("y", -9)
.text(function(d) {
return d;
});
// Add and store a brush for each axis.
g.append("g")
.attr("class", "brush")
.each(function(d) {
d3.select(this).call(y[d].brush = d3.svg.brush().y(y[d]).on("brushstart", brushstart).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])];
}));
}
function brushstart() {
d3.event.sourceEvent.stopPropagation();
}
// 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";
});
}
// The table generation function
function tabulate(data, columns) {
var table = d3.select("body").append("table")
.attr("style", "margin-left: 250px"),
thead = table.append("thead"),
tbody = table.append("tbody");
// append the header row
thead.append("tr")
.selectAll("th")
.data(columns)
.enter()
.append("th")
.text(function(column) { return column; });
// create a row for each object in the data
var rows = tbody.selectAll("tr")
.data(notas)
.enter()
.append("tr");
// create a cell in each row for each column
var cells = rows.selectAll("td")
.data(function(row) {
return columns.map(function(column) {
return {column: column, value: row[column]};
});
})
.enter()
.append("td")
.attr("style", "font-family: Courier") // sets the font style
.html(function(d) { return d.value; });
return table;
}
// render the table
var peopleTable = tabulate(notas, ["Nombre", "Matematicas","Ciencias", "Historia","Geografia", "Lengua"]);
</script>
</body>
</html>
我已在JSFiddle中添加了代码，但它没有显示任何内容。我不确定我做错了什么。我不熟悉JSFiddle，所以我可能做错了。
我也试过使用divgrid（DivGrid）并使用以下代码我可以看到当我尝试刷表时如何更新。问题是它没有更新我需要的数据。我只是要显示5条记录。
<script src="divgrid.js"></script>
...
// 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";
});
//d3.selectAll("td").style('background-color', 'red');
var grid = d3.divgrid();
d3.select('body')
.datum(notas.slice(0,5))
.call(grid);
}
我遇到的问题（我认为）是（1）表格的更新并不是真正在正确的位置，因为它只是在开始刷时更新，而不是刷过线条时（2）我需要找到一种从所选行中拾取数据的方法。我已经添加到github中的代码作为参考（GitHub）
有什么想法吗？
由于