我正在尝试使用 Google Chart 创建交互式直方图。 我用于生成直方图的代码可以在 here 中找到。
<html>
<head>
<script type="text/javascript" src="https://www.gstatic.com/charts/loader.js"></script>
<script type="text/javascript">
google.charts.load("current", {packages:["corechart"]});
google.charts.setOnLoadCallback(drawChart);
function drawChart() {
var data = google.visualization.arrayToDataTable([
['pt_network_seg_id','speed'],
['9','32'],
['10','22'],
['13','23'],
['14','18'],
['15','34'],
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]);
var options = {
title: 'Distribution of Bus Speeds on Beer Sheva PT Segments 7-10AM',
hAxis: {title: 'Bus Speeds (kph)',
titleTextStyle: {
italic: false
}},
vAxis: {title: 'PT Segments Count',
titleTextStyle: {
italic: false
}},
legend: { position: 'none' },
histogram: { bucketSize: 5 },
colors:['red','yellow']
};
var chart = new google.visualization.Histogram(document.getElementById('chart_div'));
chart.draw(data, options);
}
</script>
</head>
<body>
<div id="chart_div" style="width: 900px; height: 500px;"></div>
</body>
</html>
在屏幕的另一部分，我有一张 map ，分别显示数据点。 我想使用所选栏的每个数据点的 ID 来过滤 map 。也就是说，如果用户选择直方图中的一个条形，我需要获取该条形图中所有数据点的 ID。
我一直在网上闲逛，但大多数找到了使用 Chart.getSelection() 获取特定项目的解决方案。
我也尝试获取列范围，但得到了 min=0 和 max=999 的不清楚结果。
感谢任何帮助!
最佳答案
对于直方图，getSelection() 仅返回所选条形的索引，
它不返回数据表中的行索引，
就像其他图表一样。
在这种情况下，我们需要使用 --> getChartLayoutInterface()
布局界面是一个我们可以用来查找各种图表元素位置的对象。
首先，我们使用 getSelection() 来确定选择哪个柱和/或系列。
getSelection() 将返回类似于 --> [{"row":3,"column":1}]
其中 row 是选定的栏，column 是数据表列，
column - 1 是系列索引。
接下来我们使用布局界面方法 --> getBoundingBox(id)
其中 id 是图表元素的 ID，对于条形图，它采用以下格式。
bar#series#row -- bar#0#3
因此，getBoundingBox('bar#0#3') 将为我们提供第四个条形的尺寸。
类似 --> {"left":381,"top":60.5,"width":89,"height":103}
然后我们就可以使用布局界面方法 --> getHAxisValue(position)
这将返回给定位置的 x 轴值
通过提供栏的左右坐标，
我们可以确定范围的最小值和最大值
有了范围，我们就可以过滤数据表以确定哪些行组成了条形图。
这是片段...
google.visualization.events.addListener(chart, 'select', function () {
var selection = chart.getSelection();
if (selection.length > 0) {
// get position of selected bar
var chartLayout = chart.getChartLayoutInterface();
var barBounds = chartLayout.getBoundingBox('bar#' + (selection[0].column - 1) + '#' + selection[0].row);
// get rows for selected bar
var rows = data.getFilteredRows([{
column: selection[0].column,
minValue: chartLayout.getHAxisValue(barBounds.left),
maxValue: chartLayout.getHAxisValue(barBounds.left + barBounds.width)
}]);
// create data view for selected rows
var view = new google.visualization.DataView(data);
view.setRows(rows);
// get ids of selected bar
var ids = view.getDistinctValues(0);
console.log(JSON.stringify(ids));
}
});
编辑
以上代码片段中的项目数量已关闭。
而不是使用 minValue 和 maxValue ，
我们需要使用 test 函数。
其中每行的值是...
>= min value of the range
< max value of the range
上面是>= & <=
我们可能还需要在最小值上使用 Math.ceil，
和 Math.floor 的最大值。
以下代码片段似乎与图表同步...
google.visualization.events.addListener(chart, 'select', function () {
var selection = chart.getSelection();
if (selection.length > 0) {
// get position of selected bar
var chartLayout = chart.getChartLayoutInterface();
var barBounds = chartLayout.getBoundingBox('bar#' + (selection[0].column - 1) + '#' + selection[0].row);
// get rows for selected bar
var rows = data.getFilteredRows([{
column: selection[0].column,
test: function (value) {
return ((value >= Math.ceil(chartLayout.getHAxisValue(barBounds.left))) &&
(value < Math.floor(chartLayout.getHAxisValue(barBounds.left + barBounds.width))));
}
}]);
// create data view for selected rows
var view = new google.visualization.DataView(data);
view.setRows(rows);
// get ids of selected bar
var ids = view.getDistinctValues(0);
console.log(ids.length);
}
});
请参阅以下工作示例...
google.charts.load('current', {
packages: ['corechart']
}).then(function () {
var data = google.visualization.arrayToDataTable([
['pt_network_seg_id','speed'],
['9',32],
['10',22],
['13',23],
['14',18],
['15',34],
['17',22],
['18',30],
['19',20],
['20',33],
['21',26],
['22',33],
['23',21],
['24',19],
['25',41],
['26',23],
['27',16],
['28',39],
['29',15],
['30',25],
['31',26],
['32',29],
['40',31],
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var options = {
title: 'Distribution of Bus Speeds on Beer Sheva PT Segments 7-10AM',
hAxis: {
title: 'Bus Speeds (kph)',
titleTextStyle: {
italic: false
}
},
vAxis: {
title: 'PT Segments Count',
titleTextStyle: {
italic: false
}
},
legend: {
position: 'none'
},
histogram: {
bucketSize: 5
},
colors:['red', 'yellow']
};
var chart = new google.visualization.Histogram(document.getElementById('chart_div'));
google.visualization.events.addListener(chart, 'select', function () {
var selection = chart.getSelection();
if (selection.length > 0) {
// get position of selected bar
var chartLayout = chart.getChartLayoutInterface();
var barBounds = chartLayout.getBoundingBox('bar#' + (selection[0].column - 1) + '#' + selection[0].row);
// get rows for selected bar
var rows = data.getFilteredRows([{
column: selection[0].column,
test: function (value) {
return ((value >= Math.ceil(chartLayout.getHAxisValue(barBounds.left))) && (value < Math.floor(chartLayout.getHAxisValue(barBounds.left + barBounds.width))));
}
}]);
// create data view for selected rows
var view = new google.visualization.DataView(data);
view.setRows(rows);
// get ids of selected bar
var ids = view.getDistinctValues(0);
console.log(ids.length);
}
});
chart.draw(data, options);
});<script src="https://www.gstatic.com/charts/loader.js"></script>
<div id="chart_div"></div>关于google-visualization - 获取 Google Charts 直方图条形图或条形图范围的数据项，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/60400939/