问题
i am stuck in range filter for google charts for stack columns graph just i want to display data with some range..can you find what is a problem with category filter?
how can i display filter by date range?
is there any other option to filter by product name also?
thank you so much in advance ................
google.charts.load('current', {
packages: ['corechart','controls']
}).then(function () {
// save charts for redraw
var charts = {};
var options = {
isStacked :'true',
Column: {
chartArea: {
height: '100%',
width: '100%',
top: 60,
left: 64,
right: 32,
bottom: 48,
},
hAxis: {
format: 'ddd'
},
height: '100%',
legend: {
position: 'top'
},
width: '100%'
},
Pie: {
height: '100%',
width: '100%'
}
};
var formatDate = new google.visualization.DateFormat({
pattern: 'MMM yyyy'
});
var controlCat = new google.visualization.ControlWrapper({
controlType: 'CategoryFilter',
containerId: 'category_div',
options: {
filterColumnIndex: 0
}
});
var controlStr = new google.visualization.ControlWrapper({
controlType: 'StringFilter',
containerId: 'string_div',
options: {
matchType: 'any',
filterColumnIndex: 0
}
});
// get data
var jsonData = [{"name":"p1","data":[["2017/01/01",1.539011],["2017/01/02",4.22612],["2017/01/03",9.685247],["2017/01/04",8.535989],["2017/01/14",18.260888],["2017/01/15",57.279945],["2017/01/16",61.24776],["2017/01/17",65.12251399999998],["2017/01/18",69.15200200000001],["2017/01/19",73.13965199999997],["2017/01/20",77.10624],["2017/01/21",81.127521],["2017/01/22",85.04579900000002],["2017/01/23",89.003693],["2017/01/24",92.817327],["2017/01/25",64.12351600000001],["2017/02/04",4.734462000000001],["2017/02/05",17.073667999999998],["2017/02/06",21.047981999999998],["2017/02/07",16.340846]]},{"name":"p2","data":[["2017/01/01",3.4],["2017/01/02",8.8],["2017/01/03",19.4],["2017/01/04",16.9],["2017/01/14",33.8],["2017/01/15",106.19999999999999],["2017/01/16",113.4],["2017/01/17",120.6],["2017/01/18",127.79999999999998],["2017/01/19",135.0],["2017/01/20",142.20000000000002],["2017/01/21",149.5],["2017/01/22",156.6],["2017/01/23",163.79999999999998],["2017/01/24",170.70000000000002],["2017/01/25",118.0],["2017/02/04",9.3],["2017/02/05",32.7],["2017/02/06",39.900000000000006],["2017/02/07",30.6],["2017/04/14",16.6]]},{"name":"p3","data":[["2017/01/01",0.090284],["2017/01/02",0.18148],["2017/01/03",0.36250400000000005],["2017/01/04",0.3223319999999999],["2017/01/14",0.629936],["2017/01/15",1.9858830000000007],["2017/01/16",2.117427],["2017/01/17",2.248054],["2017/01/18",2.3795070000000007],["2017/01/19",2.510548],["2017/01/20",2.6411759999999997],["2017/01/21",2.806806],["2017/01/22",2.9025950000000007],["2017/01/23",3.0344140000000004],["2017/01/24",3.156505],["2017/01/25",2.18585],["2017/02/04",0.200327],["2017/02/05",0.700937],["2017/02/06",0.8522410000000002],["2017/02/07",0.651459]]}];
loadData(jsonData, '0', 'Column');
var jsonData2 = [{"name":"p1","data":[["2017/01/01",1.539011],["2017/01/02",4.22612],["2017/01/03",9.685247],["2017/01/04",8.535989],["2017/01/14",18.260888],["2017/01/15",57.279945],["2017/01/16",61.24776],["2017/01/17",65.12251399999998],["2017/01/18",69.15200200000001],["2017/01/19",73.13965199999997],["2017/01/20",77.10624],["2017/01/21",81.127521],["2017/01/22",85.04579900000002],["2017/01/23",89.003693],["2017/01/24",92.817327],["2017/01/25",64.12351600000001],["2017/02/04",4.734462000000001],["2017/02/05",17.073667999999998],["2017/02/06",21.047981999999998],["2017/02/07",16.340846]]},{"name":"p2","data":[["2017/01/01",3.4],["2017/01/02",8.8],["2017/01/03",19.4],["2017/01/04",16.9],["2017/01/14",33.8],["2017/01/15",106.19999999999999],["2017/01/16",113.4],["2017/01/17",120.6],["2017/01/18",127.79999999999998],["2017/01/19",135.0],["2017/01/20",142.20000000000002],["2017/01/21",149.5],["2017/01/22",156.6],["2017/01/23",163.79999999999998],["2017/01/24",170.70000000000002],["2017/01/25",118.0],["2017/02/04",9.3],["2017/02/05",32.7],["2017/02/06",39.900000000000006],["2017/02/07",30.6],["2017/04/14",16.6]]},{"name":"p3","data":[["2017/01/01",0.090284],["2017/01/02",0.18148],["2017/01/03",0.36250400000000005],["2017/01/04",0.3223319999999999],["2017/01/14",0.629936],["2017/01/15",1.9858830000000007],["2017/01/16",2.117427],["2017/01/17",2.248054],["2017/01/18",2.3795070000000007],["2017/01/19",2.510548],["2017/01/20",2.6411759999999997],["2017/01/21",2.806806],["2017/01/22",2.9025950000000007],["2017/01/23",3.0344140000000004],["2017/01/24",3.156505],["2017/01/25",2.18585],["2017/02/04",0.200327],["2017/02/05",0.700937],["2017/02/06",0.8522410000000002],["2017/02/07",0.651459]]}];
loadData(jsonData2, '1', 'Column');
// load json data
function loadData(jsonData, id, chartType) {
// create data table
var dataTable = new google.visualization.DataTable();
switch (chartType) {
case 'Column':
// add date column
dataTable.addColumn('date', 'Date');
var aggColumns = [];
var viewColumns = [0, {
calc: function (dt, row) {
return formatDate.formatValue(dt.getValue(row, 0));
},
label: dataTable.getColumnLabel(0),
type: 'string'
}];
$.each(jsonData, function(productIndex, product) {
// add product column
var colIndex = dataTable.addColumn('number', product.name);
viewColumns.push(colIndex);
aggColumns.push({
aggregation: google.visualization.data.sum,
column: colIndex+1,
label: dataTable.getColumnLabel(colIndex),
type: dataTable.getColumnType(colIndex)
});
// add product data
$.each(product.data, function(dataIndex, data) {
var rowIndex = dataTable.addRow();
var rowDate = new Date(data[0]);
dataTable.setValue(rowIndex, 0, new Date(rowDate.getFullYear(), rowDate.getMonth(), 1));
dataTable.setValue(rowIndex, colIndex, data[1]);
});
});
var dataView = new google.visualization.DataView(dataTable);
dataView.setColumns(viewColumns);
var groupData = google.visualization.data.group(
dataView,
[0, 1],
aggColumns
);
var dataView = new google.visualization.DataView(groupData);
dataView.hideColumns([0]);
dataTable = dataView;
break;
}
// draw chart
$(window).resize(function () {
drawChart(id, chartType, dataTable);
});
drawChart(id, chartType, dataTable);
}
// draw chart
function drawChart(id, chartType, dataTable) {
if (!charts.hasOwnProperty(id)) {
charts[id] = new google.visualization.ChartWrapper({
chartType: 'ColumnChart',
containerId: 'chart-' + id,
options: {
isStacked: true
}
});
}
var dash = new google.visualization.Dashboard(document.getElementById('dashboard'));
dash.bind([controlCat, controlStr], charts[id]);
dash.draw(dataTable);
}
});
.control {
display: inline-block;
}
<script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.1/jquery.min.js"></script>
<script src="https://www.gstatic.com/charts/loader.js"></script>
<div id="dashboard">
<div class="control" id="string_div"></div>
<div class="control" id="category_div"></div>
<div class="chart" id="chart-0"></div>
</div>
<div id="dashboard">
<div class="control" id="string_div"></div>
<div class="control" id="category_div"></div>
<div class="chart" id="chart-1"></div>
</div>
回答1:
the controls were out of scope, couldn't be reached by drawChart
just needed to move them out of loadData
,
see following working snippet...
google.charts.load('current', {
packages: ['corechart','controls']
}).then(function () {
// save charts for redraw
var charts = {};
var options = {
isStacked :'true',
Column: {
chartArea: {
height: '100%',
width: '100%',
top: 60,
left: 64,
right: 32,
bottom: 48,
},
hAxis: {
format: 'ddd'
},
height: '100%',
legend: {
position: 'top'
},
width: '100%'
},
Pie: {
height: '100%',
width: '100%'
}
};
var formatDate = new google.visualization.DateFormat({
pattern: 'MMM yyyy'
});
var controlCat = new google.visualization.ControlWrapper({
controlType: 'CategoryFilter',
containerId: 'category_div',
options: {
filterColumnIndex: 0
}
});
var controlStr = new google.visualization.ControlWrapper({
controlType: 'StringFilter',
containerId: 'string_div',
options: {
matchType: 'any',
filterColumnIndex: 0
}
});
// get data
var jsonData = [{"name":"p1","data":[["2017/01/01",1.539011],["2017/01/02",4.22612],["2017/01/03",9.685247],["2017/01/04",8.535989],["2017/01/14",18.260888],["2017/01/15",57.279945],["2017/01/16",61.24776],["2017/01/17",65.12251399999998],["2017/01/18",69.15200200000001],["2017/01/19",73.13965199999997],["2017/01/20",77.10624],["2017/01/21",81.127521],["2017/01/22",85.04579900000002],["2017/01/23",89.003693],["2017/01/24",92.817327],["2017/01/25",64.12351600000001],["2017/02/04",4.734462000000001],["2017/02/05",17.073667999999998],["2017/02/06",21.047981999999998],["2017/02/07",16.340846]]},{"name":"p2","data":[["2017/01/01",3.4],["2017/01/02",8.8],["2017/01/03",19.4],["2017/01/04",16.9],["2017/01/14",33.8],["2017/01/15",106.19999999999999],["2017/01/16",113.4],["2017/01/17",120.6],["2017/01/18",127.79999999999998],["2017/01/19",135.0],["2017/01/20",142.20000000000002],["2017/01/21",149.5],["2017/01/22",156.6],["2017/01/23",163.79999999999998],["2017/01/24",170.70000000000002],["2017/01/25",118.0],["2017/02/04",9.3],["2017/02/05",32.7],["2017/02/06",39.900000000000006],["2017/02/07",30.6],["2017/04/14",16.6]]},{"name":"p3","data":[["2017/01/01",0.090284],["2017/01/02",0.18148],["2017/01/03",0.36250400000000005],["2017/01/04",0.3223319999999999],["2017/01/14",0.629936],["2017/01/15",1.9858830000000007],["2017/01/16",2.117427],["2017/01/17",2.248054],["2017/01/18",2.3795070000000007],["2017/01/19",2.510548],["2017/01/20",2.6411759999999997],["2017/01/21",2.806806],["2017/01/22",2.9025950000000007],["2017/01/23",3.0344140000000004],["2017/01/24",3.156505],["2017/01/25",2.18585],["2017/02/04",0.200327],["2017/02/05",0.700937],["2017/02/06",0.8522410000000002],["2017/02/07",0.651459]]}];
loadData(jsonData, '0', 'Column');
// load json data
function loadData(jsonData, id, chartType) {
// create data table
var dataTable = new google.visualization.DataTable();
switch (chartType) {
case 'Column':
// add date column
dataTable.addColumn('date', 'Date');
var aggColumns = [];
var viewColumns = [0, {
calc: function (dt, row) {
return formatDate.formatValue(dt.getValue(row, 0));
},
label: dataTable.getColumnLabel(0),
type: 'string'
}];
$.each(jsonData, function(productIndex, product) {
// add product column
var colIndex = dataTable.addColumn('number', product.name);
viewColumns.push(colIndex);
aggColumns.push({
aggregation: google.visualization.data.sum,
column: colIndex+1,
label: dataTable.getColumnLabel(colIndex),
type: dataTable.getColumnType(colIndex)
});
// add product data
$.each(product.data, function(dataIndex, data) {
var rowIndex = dataTable.addRow();
var rowDate = new Date(data[0]);
dataTable.setValue(rowIndex, 0, new Date(rowDate.getFullYear(), rowDate.getMonth(), 1));
dataTable.setValue(rowIndex, colIndex, data[1]);
});
});
var dataView = new google.visualization.DataView(dataTable);
dataView.setColumns(viewColumns);
var groupData = google.visualization.data.group(
dataView,
[0, 1],
aggColumns
);
var dataView = new google.visualization.DataView(groupData);
dataView.hideColumns([0]);
dataTable = dataView;
break;
}
// draw chart
$(window).resize(function () {
drawChart(id, chartType, dataTable);
});
drawChart(id, chartType, dataTable);
}
// draw chart
function drawChart(id, chartType, dataTable) {
if (!charts.hasOwnProperty(id)) {
charts[id] = new google.visualization.ChartWrapper({
chartType: 'ColumnChart',
containerId: 'chart-' + id,
options: {
isStacked: true
}
});
}
var dash = new google.visualization.Dashboard(document.getElementById('dashboard'));
dash.bind([controlCat, controlStr], charts[id]);
dash.draw(dataTable);
}
});
.control {
display: inline-block;
}
<script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.1/jquery.min.js"></script>
<script src="https://www.gstatic.com/charts/loader.js"></script>
<div id="dashboard">
<div class="control" id="string_div"></div>
<div class="control" id="category_div"></div>
<div class="chart" id="chart-0"></div>
</div>
来源:https://stackoverflow.com/questions/50221655/string-filter-and-control-filter-data-more-than-one-google-charts