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我有一個html表單和d3圖表。這個想法是，表單中的每個複選框代表圖上的一個條。每個欄的可見性設置爲隱藏，直到有人從表單中選擇選項，並且圖表功能顯示每個選中的複選框代表的欄。已更新：D3不會在加載時繪製圖表數據
但是，我也希望根據窗體的預先選中的複選框（標記爲加載時選中）預加載一些欄。
問題是，圖表只顯示覆選框已被更改後的欄。
它不會顯示加載時的預選數據。這是儘管有複選框預先選擇和運行完全相同的功能，複選框在更改時調用（它可以在用戶進行更改但未加載時起作用）
爲什麼不顯示酒吧工作的功能負載？爲什麼只有在加載後更改複選框時才能工作？
HTML
<form class="form" action="">
<div class="buildOptions">
<div class="instructions">Select ingredients:</div>
<div class="selection">
<input class="ingredientBox" type="checkbox" name="ingredient" value="bars1" onclick="showBars()" checked="checked"> <span class="ingredientBoxText"style="border-color:#bf812d;">bar 1</span>
</div>
</div>
</form>
JS
var activeData =[];
function showBars(){
// variables //
//Get all lines from chart and place in an array
var bars = []
//Grab all checkbox selections
var selected = document.getElementsByName("ingredient");
//// Reset chart if needed ////
//Empty the activeData variable
activeData=[];
//loop through all hte lines and make them hidden
for (var i=0; i<lines.length; i++){
bars[i].style.visibility="hidden";
}
/// Use input to draw chart ///
//loop through check box values
for (var i=0; i<selected.length; i++) {
//If a checkbox is checked add the value to the activeData array
if (selected[i].checked){
activeData.push(selected[i].value)
//take the name of the active checkbox and edit it to coincide with id of lines
var newId = selected[i].value.replace('1','');
//Use line id to to make appropriate line visible
var activeBar =document.getElementById(newId)
activeBar.style.visibility="visible"
}
}
}
function drawChart(){
var margin = {top: 20, right: 160, bottom: 35, left: 30};
var width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
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 + ")");
/* Data in strings like it would be if imported from a csv */
var data = [
{ year: "2006", redDelicious: "10", mcintosh: "15", oranges: "9", pears: "6" },
{ year: "2007", redDelicious: "12", mcintosh: "18", oranges: "9", pears: "4" },
{ year: "2008", redDelicious: "05", mcintosh: "20", oranges: "8", pears: "2" },
{ year: "2009", redDelicious: "01", mcintosh: "15", oranges: "5", pears: "4" },
{ year: "2010", redDelicious: "02", mcintosh: "10", oranges: "4", pears: "2" },
{ year: "2011", redDelicious: "03", mcintosh: "12", oranges: "6", pears: "3" },
{ year: "2012", redDelicious: "04", mcintosh: "15", oranges: "8", pears: "1" },
{ year: "2013", redDelicious: "06", mcintosh: "11", oranges: "9", pears: "4" },
{ year: "2014", redDelicious: "10", mcintosh: "13", oranges: "9", pears: "5" },
{ year: "2015", redDelicious: "16", mcintosh: "19", oranges: "6", pears: "9" },
{ year: "2016", redDelicious: "19", mcintosh: "17", oranges: "5", pears: "7" },
];
var parse = d3.time.format("%Y").parse;
// Transpose the data into layers
var dataset = d3.layout.stack()(["redDelicious", "mcintosh", "oranges", "pears"].map(function(fruit) {
return data.map(function(d) {
return {x: parse(d.year), y: +d[fruit]};
});
}));
// Set x, y and colors
var x = d3.scale.ordinal()
.domain(dataset[0].map(function(d) { return d.x; }))
.rangeRoundBands([10, width-10], 0.02);
var y = d3.scale.linear()
.domain([0, d3.max(dataset, function(d) { return d3.max(d, function(d) { return d.y0 + d.y; }); })])
.range([height, 0]);
var colors = ["b33040", "#d25c4d", "#f2b447", "#d9d574"];
// Define and draw axes
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
.ticks(5)
.tickSize(-width, 0, 0)
.tickFormat(function(d) { return d });
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom")
.tickFormat(d3.time.format("%Y"));
svg.append("g")
.attr("class", "y axis")
.call(yAxis);
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
// Create groups for each series, rects for each segment
var groups = svg.selectAll("g.cost")
.data(dataset)
.enter().append("g")
.attr("class", "cost")
.style("fill", function(d, i) { return colors[i]; });
var rect = groups.selectAll("rect")
.data(function(d) { return d; })
.enter()
.append("rect")
.attr("x", function(d) { return x(d.x); })
.attr("y", function(d) { return y(d.y0 + d.y); })
.attr("height", function(d) { return y(d.y0) - y(d.y0 + d.y); })
.attr("class", "bars")
//.attr("id", dataset[0][0])
.attr("width", x.rangeBand())
.on("mouseover", function() { tooltip.style("display", null); })
.on("mouseout", function() { tooltip.style("display", "none"); })
.on("mousemove", function(d) {
var xPosition = d3.mouse(this)[0] - 15;
var yPosition = d3.mouse(this)[1] - 25;
tooltip.attr("transform", "translate(" + xPosition + "," + yPosition + ")");
tooltip.select("text").text(d.y);
});
// Draw legend
var legend = svg.selectAll(".legend")
.data(colors)
.enter().append("g")
.attr("class", "legend")
.attr("transform", function(d, i) { return "translate(30," + i * 19 + ")"; });
legend.append("rect")
.attr("x", width - 18)
.attr("width", 18)
.attr("height", 18)
.style("fill", function(d, i) {return colors.slice().reverse()[i];});
legend.append("text")
.attr("x", width + 5)
.attr("y", 9)
.attr("dy", ".35em")
.style("text-anchor", "start")
.text(function(d, i) {
switch (i) {
case 0: return "Anjou pears";
case 1: return "Naval oranges";
case 2: return "McIntosh apples";
case 3: return "Red Delicious apples";
}
});
// Prep the tooltip bits, initial display is hidden
var tooltip = svg.append("g")
.attr("class", "tooltip")
.style("display", "none");
tooltip.append("rect")
.attr("width", 30)
.attr("height", 20)
.attr("fill", "white")
.style("opacity", 0.5);
tooltip.append("text")
.attr("x", 15)
.attr("dy", "1.2em")
.style("text-anchor", "middle")
.attr("font-size", "12px")
.attr("font-weight", "bold");
}
drawChart();
showBars();
CSS
svg {
font: 10px sans-serif;
shape-rendering: crispEdges;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
}
path.domain {
stroke: none;
}
.y .tick line {
stroke: #ddd;
}
.bars{
visibility:hidden;
}