我正在尝试借助getColumnRange()获得Dataview的最小值和最大值。不幸的是,我得到的价值不是我期望的。有人可以建议我如何获得正确的值吗?我期望的最大值为331M(条形图上的最高条形),但我得到了850万。我试图通过console.log()更好地理解DataView对象,但是这并没有帮助我(第65-71行)
https://jsfiddle.net/zhp5rny6/3/
var data = new google.visualization.DataTable({
cols: [
{id:"","label":"Products","pattern":"","type":"string"},
{id:"","label":"Manila","pattern":"","type":"number"},
{id:"","label":"Bangkok","pattern":"","type":"number"},
{id:"","label":"New York","pattern":"","type":"number"},
{id:"","label":"Sydney","pattern":"","type":"number"}],
rows:[
{c:[{v:"Glasses"},{v:-1270.7287},{v:-4486.0961},{v:-1019.4662},{v:3763827.8335}]},
{c:[{v:"Joysticks"},{v:145543.985},{v:2108039.5802},{v:266392.5277},{v:6006566.18690001}]},
{c:[{v:"Laptops"},{v:1723781.2686},{v:4435404.56789999},{v:7060065.3164},{v:17514581.1763}]},
{c:[{v:"PS4"},{v:78002243.0557997},{v:47591320.6768999},{v:43832560.9528002},{v:161580254.021496}]},
{c:[{v:"XBOX One"},{v:10507117.0145001},{v:8059953.41120002},{v:14103816.4604002},{v:34676509.4036004}]},
{c:[{v:"Smartphones"},{v:2373067.7893},{v:-53954.2187},{v:30783391.8722},{v:37288122.5537999}]},
{c:[{v:"Chairs"},{v:86583.2876},{v:71082.0195},{v:79813.2918},{v:22959813.0499999}]},
{c:[{v:"CPU"},{v:12479599.4709999},{v:22650137.9890997},{v:17562381.7794999},{v:25589299.8099997}]},
{c:[{v:"RAM"},{v:null},{v:-59.1},{v:282.7517},{v:1461239.6186}]},
{c:[{v:"Table"},{v:-566.5377},{v:-217.3444},{v:-865.114},{v:356870.886599999}]},
{c:[{v:"Water"},{v:870883.521900001},{v:1128581.9856},{v:1177332.008},{v:3922057.50240001}]}]
});
var formatter = new google.visualization.NumberFormat({
pattern: 'short'
});
for (var i = 1; i < data.getNumberOfColumns(); i++) {
formatter.format(data, i);
}
var view = getDataView(data);
function getDataView(dataTable) {
var dataView;
var viewColumns = [];
for (var i = 0; i < dataTable.getNumberOfColumns(); i++) {
addViewColumn(i);
}
function addViewColumn(index) {
viewColumns.push(index);
if(index == (dataTable.getNumberOfColumns() - 1)) {
viewColumns.push({
calc: function (dt, row) {
for(var e = 0; e < dt.getNumberOfRows(); e++) {
var value = 0;
for(var u = 1; u < dt.getNumberOfColumns(); u++) {
value += dt.getValue(row, u);
}
return formatter.formatValue(value).toString();
}
},
type: 'string',
role: 'annotation',
});
}
}
dataView = new google.visualization.DataView(dataTable);
dataView.setColumns(viewColumns);
for(var z = 0; z < dataView.getNumberOfColumns(); z++) {
console.log(JSON.stringify(dataView.getColumnRange(z)));
}
console.log(JSON.stringify(dataView.getViewColumns()));
console.log(JSON.stringify(viewColumns));
return dataView;
}
答案 0 :(得分:1)
获得"8.5M"
而不是"331M"
的原因是因为列类型= 'string'
按字母顺序,"8.5M"
大于"331M"
要解决此问题,请使用列类型为'number'
。
构建数据视图注释列时,
并返回具有值(v:
)和格式化值(f:
)的对象。
viewColumns.push({
calc: function (dt, row) {
for(var e = 0; e < dt.getNumberOfRows(); e++) {
var value = 0;
for(var u = 1; u < dt.getNumberOfColumns(); u++) {
value += dt.getValue(row, u);
}
return { // <-- return object here
v: value,
f: formatter.formatValue(value)
};
}
},
type: 'number', // <-- change to number
role: 'annotation',
});
请参阅以下工作片段...
google.charts.load("44", {packages:['corechart']});
google.charts.setOnLoadCallback(drawChart);
function drawChart() {
var data = new google.visualization.DataTable({
cols: [
{id:"","label":"Products","pattern":"","type":"string"},
{id:"","label":"Manila","pattern":"","type":"number"},
{id:"","label":"Bangkok","pattern":"","type":"number"},
{id:"","label":"New York","pattern":"","type":"number"},
{id:"","label":"Sydney","pattern":"","type":"number"}],
rows:[
{c:[{v:"Glasses"},{v:-1270.7287},{v:-4486.0961},{v:-1019.4662},{v:3763827.8335}]},
{c:[{v:"Joysticks"},{v:145543.985},{v:2108039.5802},{v:266392.5277},{v:6006566.18690001}]},
{c:[{v:"Laptops"},{v:1723781.2686},{v:4435404.56789999},{v:7060065.3164},{v:17514581.1763}]},
{c:[{v:"PS4"},{v:78002243.0557997},{v:47591320.6768999},{v:43832560.9528002},{v:161580254.021496}]},
{c:[{v:"XBOX One"},{v:10507117.0145001},{v:8059953.41120002},{v:14103816.4604002},{v:34676509.4036004}]},
{c:[{v:"Smartphones"},{v:2373067.7893},{v:-53954.2187},{v:30783391.8722},{v:37288122.5537999}]},
{c:[{v:"Chairs"},{v:86583.2876},{v:71082.0195},{v:79813.2918},{v:22959813.0499999}]},
{c:[{v:"CPU"},{v:12479599.4709999},{v:22650137.9890997},{v:17562381.7794999},{v:25589299.8099997}]},
{c:[{v:"RAM"},{v:null},{v:-59.1},{v:282.7517},{v:1461239.6186}]},
{c:[{v:"Table"},{v:-566.5377},{v:-217.3444},{v:-865.114},{v:356870.886599999}]},
{c:[{v:"Water"},{v:870883.521900001},{v:1128581.9856},{v:1177332.008},{v:3922057.50240001}]}]
});
var formatter = new google.visualization.NumberFormat({
pattern: 'short'
});
for (var i = 1; i < data.getNumberOfColumns(); i++) {
formatter.format(data, i);
}
var view = getDataView(data);
function getDataView(dataTable) {
var dataView;
var viewColumns = [];
for (var i = 0; i < dataTable.getNumberOfColumns(); i++) {
addViewColumn(i);
}
function addViewColumn(index) {
viewColumns.push(index);
if(index == (dataTable.getNumberOfColumns() - 1)) {
viewColumns.push({
calc: function (dt, row) {
for(var e = 0; e < dt.getNumberOfRows(); e++) {
var value = 0;
for(var u = 1; u < dt.getNumberOfColumns(); u++) {
value += dt.getValue(row, u);
}
return {
v: value,
f: formatter.formatValue(value)
};
}
},
type: 'number',
role: 'annotation',
});
}
}
dataView = new google.visualization.DataView(dataTable);
dataView.setColumns(viewColumns);
for(var z = 0; z < dataView.getNumberOfColumns(); z++) {
console.log(JSON.stringify(dataView.getColumnRange(z)));
}
console.log(JSON.stringify(dataView.getViewColumns()));
console.log(JSON.stringify(viewColumns));
return dataView;
}
var options = {
annotations: {
alwaysOutside: true,
textStyle: {
fontSize: 10
}
},
height: 400,
isStacked: true
};
var chart = new google.visualization.ColumnChart(document.getElementById("columnchart_values"));
chart.draw(view, options);
}
<script src="https://www.gstatic.com/charts/loader.js"></script>
<div id="columnchart_values"></div>