我无法理解为什么这样的基本条形图会离开页面。轴限制似乎只取最小值。这是一个显示我的问题的小提示,代码也粘贴在下面。
http://jsfiddle.net/brennekamp/32hcs0pu/13/
var cityData = [{
"x": 1,
"y": "-0.8000000000",
"label": "Pre-1990"
}, {
"x": 2,
"y": "-1.5000000000",
"label": "1990-2015"
}];
var regionData = [{
"x": 5,
"y": "-1.7000000000",
"label": "Pre-1990"
}, {
"x": 6,
"y": "-1.7000000000",
"label": "1990-2015"
}];
var colorScale = new Plottable.Scales.Color();
var yScale = new Plottable.Scales.Linear();
var yAxis = new Plottable.Axes.Numeric(yScale, "left");
var title = new Plottable.Components.TitleLabel("Title");
var xScale_city = new Plottable.Scales.Category().domain(["Pre-1990", "1990-2015"]);
var xAxis_city = new Plottable.Axes.Category(xScale_city, "bottom");
var plot_city = new Plottable.Plots.Bar()
.labelsEnabled(true)
.animated(true)
.addDataset(new Plottable.Dataset(cityData))
.x(function(d) {
return d.label;
}, xScale_city)
.y(function(d) {
return d.y;
}, yScale)
.attr("fill", function(d) {
return d.x % 2 == 1 ? "#0000FF" : "#FF0000";
}, colorScale);
var label_city = new Plottable.Components.AxisLabel("City", 0);
var xScale_region = new Plottable.Scales.Category().domain(["Pre-1990", "1990-2015"]);
var xAxis_region = new Plottable.Axes.Category(xScale_region, "bottom");
var plot_region = new Plottable.Plots.Bar()
.labelsEnabled(true)
.animated(true)
.addDataset(new Plottable.Dataset(regionData))
.x(function(d) {
return d.label;
}, xScale_region)
.y(function(d) {
return d.y;
}, yScale)
.attr("fill", function(d) {
return d.x % 2 == 1 ? "#0000FF" : "#FF0000";
}, colorScale);
var label_region = new Plottable.Components.AxisLabel("Region", 0);
console.log(JSON.stringify(cityData));
console.log(JSON.stringify(regionData));
var chart = new Plottable.Components.Table([
[title],
[yAxis, plot_city, plot_region],
[null, xAxis_city, xAxis_region],
[null, label_city, label_region]
]);
chart.renderTo("svg");
答案 0 :(得分:1)
您的y值必须是数字,而不是字符串。
var cityData = [{
"x": 1,
"y": -0.8000000000,
"label": "Pre-1990"
}, {
"x": 2,
"y": -1.5000000000,
"label": "1990-2015"
}];
var regionData = [{
"x": 5,
"y": -1.7000000000,
"label": "Pre-1990"
}, {
"x": 6,
"y": -1.7000000000,
"label": "1990-2015"
}];
var colorScale = new Plottable.Scales.Color();
var yScale = new Plottable.Scales.Linear();
var yAxis = new Plottable.Axes.Numeric(yScale, "left");
var title = new Plottable.Components.TitleLabel("Title");
var xScale_city = new Plottable.Scales.Category().domain(["Pre-1990", "1990-2015"]);
var xAxis_city = new Plottable.Axes.Category(xScale_city, "bottom");
var plot_city = new Plottable.Plots.Bar()
.labelsEnabled(true)
.animated(true)
.addDataset(new Plottable.Dataset(cityData))
.x(function(d) {
return d.label;
}, xScale_city)
.y(function(d) {
return d.y;
}, yScale)
.attr("fill", function(d) {
return d.x % 2 == 1 ? "#0000FF" : "#FF0000";
}, colorScale);
var label_city = new Plottable.Components.AxisLabel("City", 0);
var xScale_region = new Plottable.Scales.Category().domain(["Pre-1990", "1990-2015"]);
var xAxis_region = new Plottable.Axes.Category(xScale_region, "bottom");
var plot_region = new Plottable.Plots.Bar()
.labelsEnabled(true)
.animated(true)
.addDataset(new Plottable.Dataset(regionData))
.x(function(d) {
return d.label;
}, xScale_region)
.y(function(d) {
return d.y;
}, yScale)
.attr("fill", function(d) {
return d.x % 2 == 1 ? "#0000FF" : "#FF0000";
}, colorScale);
var label_region = new Plottable.Components.AxisLabel("Region", 0);
console.log(JSON.stringify(cityData));
console.log(JSON.stringify(regionData));
var chart = new Plottable.Components.Table([
[title],
[yAxis, plot_city, plot_region],
[null, xAxis_city, xAxis_region],
[null, label_city, label_region]
]);
chart.renderTo("svg");

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