我有一个类似下面的JSON数据来构建Google图表中的信息中心。 我想绘制一个月线条图,其中x轴为scan_time(月),y轴为该月的tag_id的计数。 tag_ids可以是重复的。
以JSON输入数据:
[
{
"tag_id":"04:0f",
"scan_time":"2016-09-29 06:47:47",
},
{
"tag_id":"04:0f",
"scan_time":"2016-09-29 14:48:42",
},
{
"tag_id":"99:9n",
"scan_time":"2016-10-29 06:47:47",
},
{
"tag_id":"05:m8",
"scan_time":"2016-11-29 06:48:42",
}
]
类似
Month Count
Sept 2
Oct 1
Nov 1
答案 0 :(得分:2)
将JSON加载到DataTable后,
使用数据操作方法 - > group()
返回聚合的DataTable
请参阅以下工作片段,
group方法将第一列转换为'month'字符串,
并汇总每个'月'的标签ID的数量
google.charts.load('current', {
callback: drawChart,
packages:['table']
});
function drawChart() {
var data = google.visualization.arrayToDataTable([
['date', 'tag_id'],
[new Date('2016-09-29 06:47:47'), '04:0f'],
[new Date('2016-09-29 14:48:42'), '04:0f'],
[new Date('2016-10-29 06:47:47'), '99:9n'],
[new Date('2016-11-29 06:48:42'), '05:m8'],
]);
var formatDate = new google.visualization.DateFormat({pattern: 'MMMM'});
var dataGroup = google.visualization.data.group(
data,
// group by column
[{
column: 0,
label: 'Month',
modifier: function (val) {
return formatDate.formatValue(val);
},
type: 'string'
}],
// agg columns
[{
aggregation: google.visualization.data.count,
column: 1,
label: 'Tag Count',
type: 'number'
}]
);
var table = new google.visualization.Table(document.getElementById('chart_div'));
table.draw(dataGroup);
}
<script src="https://www.gstatic.com/charts/loader.js"></script>
<div id="chart_div"></div>
编辑
使用DataView自定义行排序
var view = new google.visualization.DataView(dataGroup);
view.setRows([2, 1, 0]);
使用view
绘制表格图表和任何其他图表......
以下代码段包含ColumnChart ...
google.charts.load('current', {
callback: drawChart,
packages:['corechart', 'table']
});
function drawChart() {
var data = google.visualization.arrayToDataTable([
['date', 'tag_id'],
[new Date('2016-09-29 06:47:47'), '04:0f'],
[new Date('2016-09-29 14:48:42'), '04:0f'],
[new Date('2016-10-29 06:47:47'), '99:9n'],
[new Date('2016-11-29 06:48:42'), '05:m8'],
]);
var formatDate = new google.visualization.DateFormat({pattern: 'MMMM'});
var dataGroup = google.visualization.data.group(
data,
// group by column
[{
column: 0,
label: 'Month',
modifier: function (val) {
return formatDate.formatValue(val);
},
type: 'string'
}],
// agg columns
[{
aggregation: google.visualization.data.count,
column: 1,
label: 'Tag Count',
type: 'number'
}]
);
var view = new google.visualization.DataView(dataGroup);
view.setRows([2, 1, 0]);
var chart = new google.visualization.ColumnChart(document.getElementById('chart_div'));
chart.draw(view);
var table = new google.visualization.Table(document.getElementById('table_div'));
table.draw(view);
}
<script src="https://www.gstatic.com/charts/loader.js"></script>
<div id="chart_div"></div>
<div id="table_div"></div>
编辑2
使用ChartWrapper,将view
设置为dataTable
属性,例如
var table = new google.visualization.ChartWrapper({
chartType: 'Table',
containerId: 'table_div',
dataTable: view
});
请参阅以下工作代码段...
google.charts.load('current', {
callback: drawChart,
packages:['corechart', 'table']
});
function drawChart() {
var data = google.visualization.arrayToDataTable([
['date', 'tag_id'],
[new Date('2016-09-29 06:47:47'), '04:0f'],
[new Date('2016-09-29 14:48:42'), '04:0f'],
[new Date('2016-10-29 06:47:47'), '99:9n'],
[new Date('2016-11-29 06:48:42'), '05:m8'],
]);
var formatDate = new google.visualization.DateFormat({pattern: 'MMMM'});
var dataGroup = google.visualization.data.group(
data,
// group by column
[{
column: 0,
label: 'Month',
modifier: function (val) {
return formatDate.formatValue(val);
},
type: 'string'
}],
// agg columns
[{
aggregation: google.visualization.data.count,
column: 1,
label: 'Tag Count',
type: 'number'
}]
);
var view = new google.visualization.DataView(dataGroup);
view.setRows([2, 1, 0]);
var chart = new google.visualization.ChartWrapper({
chartType: 'ColumnChart',
containerId: 'chart_div',
dataTable: view
});
chart.draw();
var table = new google.visualization.ChartWrapper({
chartType: 'Table',
containerId: 'table_div',
dataTable: view
});
table.draw();
}
<script src="https://www.gstatic.com/charts/loader.js"></script>
<div id="chart_div"></div>
<div id="table_div"></div>