我希望能够在点击图例中的相关键时显示/隐藏线图上的线条，这可能吗？
答案 0 :(得分：3)
要隐藏GWT Visualization LineChart上的显示行，请按以下步骤操作： -
1.基于现有的DataTable对象创建DataView对象：
DataTable dataTable = DataTable.create();
DataView dataView = DataView.create(dataTable);
2.隐藏要隐藏在DataView中的曲线/线的列：
dataView.hideColumns(new int[]{<id_of_the_column>});
3.根据DataView再次绘制整个图表：
chart.draw(dataView, getOptions());
请注意，这里有一个警告，第3步是一个代价高昂的步骤，对我们来说它需要大约20-30秒。用于绘制新图表。但是如果数据不大，那么它应该可以在你的环境中进行管理。
注意：您必须使用复选框制作自己的图例，并在用户选中/取消选中复选框时执行上述操作。
答案 1 :(得分：2)
如果您不需要包含缩放和动画，那么一个选项就是使用lineWidth和areaOpacity值隐藏数据;
<head>
<script type='text/javascript' src='https://www.google.com/jsapi'></script>
<script>
function updateTable() {
// quick data - cleaned up for this example real data sources
data = new Array();
data[0] = new Array();
data[0][0] = "Day";
data[0][1] = "Metric 1";
data[0][2] = "Metric 2";
data[0][3] = "Metric 3";
data[1] = new Array();
data[1][0] = 1;
data[1][1] = 200;
data[1][2] = 50;
data[1][3] = 400;
data[2] = new Array();
data[2][0] = 2;
data[2][1] = 440;
data[2][2] = 140;
data[2][3] = 40;
data[3] = new Array();
data[3][0] = 3;
data[3][1] = 300;
data[3][2] = 500;
data[3][3] = 600;
var gdata = google.visualization.arrayToDataTable(data);
var options = {
// title: 'kala',
hAxis: {title: 'Days', titleTextStyle: {color: '#333'}}
,vAxis: {minValue: 0}
,height: 300
,width: 600
,chartArea: {left: 60}
,lineWidth: 2
,series: {0:{color: 'black', areaOpacity: 0.3, lineWidth: 2}
,1:{color: 'red', areaOpacity: 0.3, lineWidth: 2}
,2:{color: 'purple', areaOpacity: 0.3, lineWidth: 2}}
};
var chart = new google.visualization.AreaChart(document.getElementById('my_chart'));
chart.draw(gdata, options);
google.visualization.events.addListener(chart,
'select',
(function (x) { return function () { AreaSelectHander(chart, gdata, options)}})(1));
}
function AreaSelectHander(chart, gdata, options) {
// when ever clicked we enter here
// more code needed to inspect what actually was clicked, now assuming people
// play nicely and click only lables...
var selection = chart.getSelection();
var view = new google.visualization.DataView(gdata);
console.log(options);
// click and data index are one off
i = selection[0].column - 1;
// just simple reverse
if (options.series[i].lineWidth == 0) {
options.series[i].lineWidth = 2;
options.series[i].areaOpacity = 0.3;
}
else {
options.series[i].lineWidth = 0;
options.series[i].areaOpacity = 0.0;
}
chart.draw(gdata, options);
}
</script>
<script type='text/javascript'>
google.load('visualization', '1', {packages:['table', 'corechart']});
google.setOnLoadCallback(updateTable);
</script>
</head>
<body>
<div id='my_chart'></div>
</body>
答案 2 :(得分：0)
以下代码显示护目镜折线图，并具有通过单击图例标签隐藏/显示图形线的功能。 #graph_sales_data是显示图表的div的id，sales_data_graph是包含记录的变量。
function drawChart() {
if (sales_data_graph.length > 1)
{
$('#graph_sales_data').show();
var data = new google.visualization.arrayToDataTable(sales_data_graph);
// Instantiate and draw our chart, passing in some options.
var chart = new google.visualization.ChartWrapper({
chartType: 'LineChart',
containerId: 'graph_sales_data',
dataTable: data,
colors: ['#ea6f09', '#fb250d', '#0ac9c6', '#2680be', '#575bee', '#6bd962', '#ff0000', '#000000'],
options: {
width: 1200,
height: 500,
fontSize: 10,
pointSize: 10
}
});
// create columns array
var columns = [0];
/* the series map is an array of data series
* "column" is the index of the data column to use for the series
* "roleColumns" is an array of column indices corresponding to columns with roles that are associated with this data series
* "display" is a boolean, set to true to make the series visible on the initial draw
*/
var seriesMap = [{
column: 1,
roleColumns: [1],
display: true
}, {
column: 2,
roleColumns: [2],
display: true
}, {
column: 3,
roleColumns: [3],
display: true
}, {
column: 4,
roleColumns: [4],
display: true
}, {
column: 5,
roleColumns: [5],
display: true
}, {
column: 6,
roleColumns: [6],
display: true
}, {
column: 7,
roleColumns: [7],
display: true
}, {
column: 8,
roleColumns: [8],
display: true
}];
var columnsMap = {};
var series = [];
for (var i = 0; i < seriesMap.length; i++) {
var col = seriesMap[i].column;
columnsMap[col] = i;
// set the default series option
series[i] = {};
if (seriesMap[i].display) {
// if the column is the domain column or in the default list, display the series
columns.push(col);
}
else {
// otherwise, hide it
columns.push({
label: data.getColumnLabel(col),
type: data.getColumnType(col),
sourceColumn: col,
calc: function() {
return null;
}
});
// backup the default color (if set)
if (typeof(series[i].color) !== 'undefined') {
series[i].backupColor = series[i].color;
}
series[i].color = '#CCCCCC';
}
for (var j = 0; j < seriesMap[i].roleColumns.length; j++) {
//columns.push(seriesMap[i].roleColumns[j]);
}
}
chart.setOption('series', series);
function showHideSeries() {
var sel = chart.getChart().getSelection();
// if selection length is 0, we deselected an element
if (sel.length > 0) {
// if row is undefined, we clicked on the legend
if (sel[0].row == null) {
var col = sel[0].column;
if (typeof(columns[col]) == 'number') {
var src = columns[col];
// hide the data series
columns[col] = {
label: data.getColumnLabel(src),
type: data.getColumnType(src),
sourceColumn: src,
calc: function() {
return null;
}
};
// grey out the legend entry
series[columnsMap[src]].color = '#CCCCCC';
}
else {
var src = columns[col].sourceColumn;
// show the data series
columns[col] = src;
series[columnsMap[src]].color = null;
}
var view = chart.getView() || {};
view.columns = columns;
chart.setView(view);
chart.draw();
}
}
}
google.visualization.events.addListener(chart, 'select', showHideSeries);
// create a view with the default columns
var view = {
columns: columns
};
chart.draw();
}
else
{
$('#graph_sales_data').hide();
}
}