我在网上发现这个代码基本上可以完成我正在寻找的所有内容，除非他们不像我一样使用MySQL数据库中的数据。这是他们的代码：
{
"chart": {
"caption": "Inventory by Product Categories",
"bgcolor": "FFFFFF",
"plotgradientcolor": "",
"showalternatehgridcolor": "0",
"showplotborder": "0",
"divlinecolor": "CCCCCC",
"showvalues": "0",
"showcanvasborder": "0",
"pyaxisname": "Cost of Inventory",
"syaxisname": "Units in Inventory",
"numberprefix": "$",
"labeldisplay": "STAGGER",
"slantlabels": "1",
"canvasborderalpha": "0",
"legendshadow": "0",
"legendborderalpha": "0",
"showborder": "0"
},
"categories": [
{
"category": [
{
"label": "Seafood",
"labelPadding": 0
},
{
"label": "Beverages",
"labelPadding": 12
},
{
"label": "Condiments",
"labelPadding": 0
},
{
"label": "Dairy Products",
"labelPadding": 12
},
{
"label": "Confections",
"labelPadding": 0
},
{
"label": "Meat/Poultry",
"labelPadding": 12
},
{
"label": "Grains/Cereals",
"labelPadding": 0
},
{
"label": "Produce",
"labelPadding": 12
}
]
}
],
"dataset": [
{
"seriesname": "Cost of Inventory",
"color": "008ee4",
"data": [
{
"value": "13510"
},
{
"value": "12480"
},
{
"value": "12024"
},
{
"value": "11271"
},
{
"value": "10392"
},
{
"value": "5729"
},
{
"value": "5594"
},
{
"value": "3549"
}
]
},
{
"seriesname": "Quantity",
"parentyaxis": "S",
"renderas": "Line",
"color": "f8bd19",
"data": [
{
"value": "701"
},
{
"value": "559"
},
{
"value": "507"
},
{
"value": "393"
},
{
"value": "386"
},
{
"value": "165"
},
{
"value": "258"
},
{
"value": "100"
}
]
}
]
}
这是有道理的，但它改变了这个JSON代码以接受来自数据库的数据而不是硬编码这对我来说很难。
以下是我的代码的相关部分：
<?php
$strQuery2 = "SELECT ScrapDate, SUM(Quantity) AS Quantity FROM Scrap WHERE Department = 'WE' GROUP BY ScrapDate ORDER BY ScrapDate";
// Execute the query, or else return the error message.
$result2 = $dbhandle->query($strQuery2) or exit("Error code ({$dbhandle->errno}): {$dbhandle->error}");
// If the query returns a valid response, prepare the JSON string
if ($result2) {
// The `$arrData` array holds the chart attributes and data
$arrData2 = array(
"chart" => array(
"caption" => "WE Last Week Scrap Quantity",
"paletteColors" => "#0075c2",
"bgColor" => "#ffffff",
"borderAlpha"=> "20",
"canvasBorderAlpha"=> "0",
"usePlotGradientColor"=> "0",
"plotBorderAlpha"=> "10",
"showXAxisLine"=> "1",
"xAxisLineColor" => "#999999",
"showValues"=> "0",
"divlineColor" => "#999999",
"divLineIsDashed" => "1",
"showAlternateHGridColor" => "0",
"xAxisName"=> "Day",
"yAxisName"=> "Quantity"
)
);
$arrData2["data"] = array();
// Push the data into the array
while($row2 = mysqli_fetch_array($result2)) {
array_push($arrData2["data"], array(
"label" => $row2["ScrapDate"],
"value" => $row2["Quantity"],
// "link" => "deptDrillDown.php?Department=".$row["Department"]
)
);
}
$jsonEncodedData2 = json_encode($arrData2);
$columnChart2 = new FusionCharts("column2D", "chart2" , 600, 300, "chart-2", "json", $jsonEncodedData2);
// Render the chart
$columnChart->render();
$columnChart2->render();
// Close the database connection
$dbhandle->close();
}
?>
截至目前，我可以从MySQL数据库中获取数据，并将其轻松地放入图表中。现在我想再添加1个数据集，我该怎么做？
答案 0 :(得分：0)
要动态更新图表，请遵循methods非常有用：
- getJSONData：以JSON格式获取图表数据。
- setJSONData：以JSON数据格式设置图表数据
示例实现显示在下面的代码段中。该图表最初呈现为默认的column2d图表。单击Add Area按钮后，区域数据集将以可视方式更新。同样，单击Add Line按钮添加行数据集。 Reset按钮仅恢复原始列的可视化。
var visitChart,
areaBtn = document.getElementById('area'),
lineBtn = document.getElementById('line'),
resetBtn = document.getElementById('reset');
FusionCharts.ready(function() {
visitChart = new FusionCharts({
type: 'mscombi2d',
renderAt: 'chart-container',
width: '500',
height: '300',
dataFormat: 'json',
dataSource: {
"chart": {
"caption": "Actual Revenues, Targeted Revenues & Profits",
"subcaption": "Last year",
"xaxisname": "Month",
"yaxisname": "Amount (In USD)",
"numberprefix": "$",
"theme": "fint"
},
"categories": [{
"category": [{
"label": "Jan"
}, {
"label": "Feb"
}, {
"label": "Mar"
}, {
"label": "Apr"
}, {
"label": "May"
}, {
"label": "Jun"
}, {
"label": "Jul"
}, {
"label": "Aug"
}, {
"label": "Sep"
}, {
"label": "Oct"
}, {
"label": "Nov"
}, {
"label": "Dec"
}]
}],
"dataset": [{
"seriesname": "Actual Revenue",
"data": [{
"value": "16000"
}, {
"value": "20000"
}, {
"value": "18000"
}, {
"value": "19000"
}, {
"value": "15000"
}, {
"value": "21000"
}, {
"value": "16000"
}, {
"value": "20000"
}, {
"value": "17000"
}, {
"value": "25000"
}, {
"value": "19000"
}, {
"value": "23000"
}]
}]
}
}).render();
});
areaBtn.addEventListener('click', function() {
var dataset,
json = visitChart.getJSONData();
if (!(dataset = json.dataset)) {
dataset = json.dataset = [];
}
dataset.push({
"seriesname": "Profit",
"renderas": "area",
"showvalues": "0",
"data": [{
"value": "4000"
}, {
"value": "5000"
}, {
"value": "3000"
}, {
"value": "4000"
}, {
"value": "1000"
}, {
"value": "7000"
}, {
"value": "1000"
}, {
"value": "4000"
}, {
"value": "1000"
}, {
"value": "8000"
}, {
"value": "2000"
}, {
"value": "7000"
}]
});
visitChart.setJSONData(json);
areaBtn.disabled = true;
});
lineBtn.addEventListener('click', function() {
var dataset,
json = visitChart.getJSONData();
if (!(dataset = json.dataset)) {
dataset = json.dataset = [];
}
dataset.push({
"seriesname": "Projected Revenue",
"renderas": "line",
"showvalues": "0",
"data": [{
"value": "15000"
}, {
"value": "16000"
}, {
"value": "17000"
}, {
"value": "18000"
}, {
"value": "19000"
}, {
"value": "19000"
}, {
"value": "19000"
}, {
"value": "19000"
}, {
"value": "20000"
}, {
"value": "21000"
}, {
"value": "22000"
}, {
"value": "23000"
}]
});
visitChart.setJSONData(json);
lineBtn.disabled = true;
});
resetBtn.addEventListener('click', function() {
var dataset,
len,
json = visitChart.getJSONData();
if (!(dataset = json.dataset)) {
dataset = json.dataset = [];
}
if ((len = dataset.length) > 1) {
dataset.splice(1, len - 1);
}
visitChart.setJSONData(json);
areaBtn.disabled = false;
lineBtn.disabled = false;
});<script src="http://static.fusioncharts.com/code/latest/fusioncharts.js"></script>
<script src="http://static.fusioncharts.com/code/latest/themes/fusioncharts.theme.fint.js"></script>
<button id='area'>Add Area</button>
<button id='line'>Add Line</button>
<button id='reset'>Reset</button>
<span id="chart-container">FusionCharts XT will load here!</span>
可以以与上述类似的方式从数据库中获取附加的数据。