我想让用户过滤图表上显示的结果。 Google API提供了按行强制过滤的CategoryFilter。这是我的代码完全正常
<html>
<head>
<!--Load the Ajax API-->
<script type="text/javascript" src="https://www.google.com/jsapi"></script>
<script type="text/javascript" src="http://ajax.googleapis.com/ajax/libs/jquery/1.8.2/jquery.min.js"></script>
<script type="text/javascript">
// Load the Visualization API and the piechart package.
google.load('visualization', '1', {'packages':['controls']});
// Set a callback to run when the Google Visualization API is loaded.
google.setOnLoadCallback(drawChart);
function drawChart() {
// Create our data table out of JSON data loaded from server.
var data = new google.visualization.DataTable(<?=$jsonTable?>);
var countryPicker = new google.visualization.ControlWrapper({
controlType: 'CategoryFilter',
containerId: 'negeri',
dataTable: data,
options: {
filterColumnLabel: 'Negeri',
ui: {
labelStacking: 'vertical',
allowTyping: false,
allowMultiple: true
}
},
// Define an initial state, i.e. a set of metrics to be initially selected.
state: {'selectedValues': ['Kedah', 'Johor']}
});
var chart = new google.visualization.ChartWrapper({
chartType: 'ColumnChart',
containerId: 'chart_div',
options: {
title: 'Statistik Negeri vs. Kategori Sukan',
width: 1000,
height: 1000,
hAxis: {title: 'Negeri', titleTextStyle: {color: 'blue'}},
vAxis: {title: 'Jumlah Kategori', titleTextStyle: {color: 'blue'}}
}
});
// Create the dashboard.
new google.visualization.Dashboard(document.getElementById('dashboard')).
// Configure the controls so that:
// - the 'Country' selection drives the 'Region' one,
// - the 'Region' selection drives the 'City' one,
// - and finally the 'City' output drives the chart
bind(countryPicker, chart).
// Draw the dashboard
draw(data);
}
</script>
</head>
<body>
<div id="dashboard">
<div id="negeri"></div>
<div id="chart_div"></div>
</div>
</body>
</html>
但是在我的数据表中,我还想按列过滤。这两种类型的过滤应该一起工作。 (依赖;通过bind()函数)。我已经提到了@asgallant http://jsfiddle.net/asgallant/WaUu2/,这就是我想要结合的功能。
我怎么可能把它们组合起来?我尝试将@asgallant的setChartView()与google的仪表板()结合使用,但它不起作用。
<html>
<head>
<!--Load the Ajax API-->
<script type="text/javascript" src="https://www.google.com/jsapi"></script>
<script type="text/javascript" src="http://ajax.googleapis.com/ajax/libs/jquery/1.8.2/jquery.min.js"></script>
<script type="text/javascript">
// Load the Visualization API and the piechart package.
google.load('visualization', '1', {'packages':['controls']});
// Set a callback to run when the Google Visualization API is loaded.
google.setOnLoadCallback(drawChart);
function drawChart() {
// Create our data table out of JSON data loaded from server.
var data = new google.visualization.DataTable(<?=$jsonTable?>);
var columnsTable = new google.visualization.DataTable();
columnsTable.addColumn('number', 'colIndex');
columnsTable.addColumn('string', 'colLabel');
var initState= {selectedValues: []};
// put the columns into this data table (skip column 0)
for (var i = 1; i < data.getNumberOfColumns(); i++) {
columnsTable.addRow([i, data.getColumnLabel(i)]);
// you can comment out this next line if you want to have a default selection other than the whole list
initState.selectedValues.push(data.getColumnLabel(i));
}
var countryPicker = new google.visualization.ControlWrapper({
controlType: 'CategoryFilter',
containerId: 'negeri',
dataTable: data,
options: {
filterColumnLabel: 'Negeri',
ui: {
labelStacking: 'vertical',
allowTyping: false,
allowMultiple: true
}
},
// Define an initial state, i.e. a set of metrics to be initially selected.
state: {'selectedValues': ['Kedah', 'Johor']}
});
var columnFilter = new google.visualization.ControlWrapper({
controlType: 'CategoryFilter',
containerId: 'colFilter_div',
dataTable: columnsTable,
options: {
filterColumnLabel: 'colLabel',
ui: {
label: 'Kategori Sukan',
allowTyping: false,
allowMultiple: true,
allowNone: false,
selectedValuesLayout: 'belowStacked'
}
},
state: initState
});
var chart = new google.visualization.ChartWrapper({
chartType: 'ColumnChart',
containerId: 'chart_div',
options: {
title: 'Statistik Negeri vs. Kategori Sukan',
width: 1000,
height: 1000,
hAxis: {title: 'Negeri', titleTextStyle: {color: 'blue'}},
vAxis: {title: 'Jumlah Kategori', titleTextStyle: {color: 'blue'}}
}
});
// Create the dashboard.
new google.visualization.Dashboard(document.getElementById('dashboard')).
// Configure the controls so that:
// - the 'Country' selection drives the 'Region' one,
// - the 'Region' selection drives the 'City' one,
// - and finally the 'City' output drives the chart
bind(countryPicker, columnFilter).
bind(columnFilter, chart).
// Draw the dashboard
draw(data);
}
</script>
</head>
<body>
<div id="dashboard">
<div id="negeri"></div>
<div id="chart_div"></div>
</div>
</body>
</html>
答案 0 :(得分:3)
您希望将countryPicker
过滤器正常绑定到图表,但不要将columnFilter
控件绑定到任何内容 - setChartView
函数会处理columnFilter
的所有内容。您需要调整其他几行以使其与仪表板一起使用,但没有什么重要的。这应该是它的样子:
function drawChart() {
// Create our data table out of JSON data loaded from server.
var data = new google.visualization.DataTable(<?=$jsonTable?>);
var columnsTable = new google.visualization.DataTable();
columnsTable.addColumn('number', 'colIndex');
columnsTable.addColumn('string', 'colLabel');
var initState= {selectedValues: []};
// put the columns into this data table (skip column 0)
for (var i = 1; i < data.getNumberOfColumns(); i++) {
columnsTable.addRow([i, data.getColumnLabel(i)]);
// you can comment out this next line if you want to have a default selection other than the whole list
initState.selectedValues.push(data.getColumnLabel(i));
}
var countryPicker = new google.visualization.ControlWrapper({
controlType: 'CategoryFilter',
containerId: 'negeri',
dataTable: data,
options: {
filterColumnLabel: 'Negeri',
ui: {
labelStacking: 'vertical',
allowTyping: false,
allowMultiple: true
}
},
// Define an initial state, i.e. a set of metrics to be initially selected.
state: {'selectedValues': ['Kedah', 'Johor']}
});
var columnFilter = new google.visualization.ControlWrapper({
controlType: 'CategoryFilter',
containerId: 'colFilter_div',
dataTable: columnsTable,
options: {
filterColumnLabel: 'colLabel',
ui: {
label: 'Kategori Sukan',
allowTyping: false,
allowMultiple: true,
allowNone: false,
selectedValuesLayout: 'belowStacked'
}
},
state: initState
});
var chart = new google.visualization.ChartWrapper({
chartType: 'ColumnChart',
containerId: 'chart_div',
options: {
title: 'Statistik Negeri vs. Kategori Sukan',
width: 1000,
height: 1000,
hAxis: {title: 'Negeri', titleTextStyle: {color: 'blue'}},
vAxis: {title: 'Jumlah Kategori', titleTextStyle: {color: 'blue'}}
}
});
// Create the dashboard.
var dashboard = new google.visualization.Dashboard(document.getElementById('dashboard')).
bind(countryPicker, chart);
function setChartView () {
var state = columnFilter.getState();
var row;
var view = {
columns: [0]
};
for (var i = 0; i < state.selectedValues.length; i++) {
row = columnsTable.getFilteredRows([{column: 1, value: state.selectedValues[i]}])[0];
view.columns.push(columnsTable.getValue(row, 0));
}
// sort the indices into their original order
view.columns.sort(function (a, b) {
return (a - b);
});
chart.setView(view);
chart.draw();
}
google.visualization.events.addListener(columnFilter, 'statechange', setChartView);
var runOnce = google.visualization.events.addListener(dashboard, 'ready', function () {
google.visualization.events.removeListener(runOnce);
setChartView();
});
columnFilter.draw();
dashboard.draw(data);
}
google.load('visualization', '1', {packages:['corechart'], callback: drawChart});