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FusionCharts在Java中的基本使用

2014-11-17 00:01 375 查看
fusionCharts

一、介绍
FusionCharts是一个基于XML和Flash的图表组件,其中FusionCharts Free是免费的,其功能也十分强大、美观。
在线Demo:http://www.fusioncharts.com/free/demos/Blueprint/
其可以用在PHP、JSP、ASP等等。

二、常见的图表类型
1.Area图
2.Bar图
3.Column图
4.Line图
5.Pie图
6.Stacked图
7.Combine图

三、数据源
其数据源形式为XML的形式,XML形式分为单序列和多序列XML,以及其他的格式。

四、简单使用
目录结构:
test.html
data.xml
FusionCharts
|----------Charts
| |--------------- many charts *.swf
|----------JSClass
| |--------------- FusionCharts.js

test.html代码:

[java] view plaincopy

<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd">

<html>

<head>

<meta http-equiv="Content-Type" content="text/html; charset=GBK">

<mce:script language="JavaScript" src="FusionCharts/JSClass/FusionCharts.js" mce_src="FusionCharts/JSClass/FusionCharts.js"></mce:script>

<title>图</title>

</head>

<body>

<table align='center' border="1">

<caption>图</caption>

<tr>

<td>

<div id='Pie' align="center">

<script type="text/javascript">

var chart =

new FusionCharts('FusionCharts/Charts/FCF_Pie2D.swf', "ChartId", "400", "300");

chart.setDataURL("data.xml");

chart.render('Pie');

</script>

</div>

</td>

</tr>

</table>

</body>

</html>

要注意添加以下几行代码,并注意其中的路径:
(1)导入JS: <script language="JavaScript" src='FusionCharts/JSClass/FusionCharts.js '></script>
(2)图表显示的地方:<div id='Pie' align="center">......</div>
(3)脚本:用于设置显示什么图、图的数据等
<script type="text/javascript">

var chart =

new FusionCharts('FusionCharts/Charts/FCF_Pie2D.swf ', "ChartId", "400", "300");

chart.setDataURL("data.xml");

chart.render('Pie ');

</script>
其中,chart.render("Pie")中的Pie是你要显示图的div的id

data.xml

[xhtml] view plaincopy

<graph baseFont='SunSim' baseFontSize='12' caption='分析' subcaption='' yAxisMinValue='51650.1' yAxisMaxValue='71118.3' xaxisname='日期' yaxisname='数量' hovercapbg='FFECAA' hovercapborder='F47E00' formatNumberScale='0' decimalPrecision='0' showvalues='1' numdivlines='10' numVdivlines='0' shownames='1' rotateNames='1'>

<set name='2009-10-04' value='57653' color='AFD8F8'/>

<set name='2009-10-05' value='57389' color='F6BD0F'/>

<set name='2009-10-06' value='59256' color='8BBA00'/>

<set name='2009-10-07' value='62762' color='FF8E46'/>

<set name='2009-10-08' value='63287' color='008E8E'/>

<set name='2009-10-09' value='60109' color='D64646'/>

<set name='2009-10-10' value='64653' color='8E468E'/>

<set name='2009-10-11' value='61687' color='588526'/>

</graph>

显示效果如下:



也可以不用单独的文件存储xml,可以利用setDataXML方法,如下:

[c-sharp] view plaincopy

<script type="text/javascript">

var chart =

new FusionCharts('FusionCharts/Charts/FCF_Pie2D.swf', "ChartId", "400", "300");

chart.setDataXML("<graph baseFont='SunSim' baseFontSize='12' caption='分析' subcaption='' yAxisMinValue='51650.1' yAxisMaxValue='71118.3' xaxisname='日期' yaxisname='数量' hovercapbg='FFECAA' hovercapborder='F47E00' formatNumberScale='0' decimalPrecision='0' showvalues='1' numdivlines='10' numVdivlines='0' shownames='1' rotateNames='1'><set name='2009-10-04' value='57653' color='AFD8F8'/><set name='2009-10-05' value='57389' color='F6BD0F'/><set name='2009-10-06' value='59256' color='8BBA00'/><set name='2009-10-07' value='62762' color='FF8E46'/><set name='2009-10-08' value='63287' color='008E8E'/><set name='2009-10-09' value='60109' color='D64646'/><set name='2009-10-10' value='64653' color='8E468E'/><set name='2009-10-11' value='61687' color='588526'/></graph>");

chart.render('Pie');

<script>

五、单序列XML形式
举例:

[xhtml] view plaincopy

<graph baseFont='SunSim' baseFontSize='12' caption='分析' subcaption='' yAxisMinValue='51650.1' yAxisMaxValue='71118.3' xaxisname='日期' yaxisname='数量' hovercapbg='FFECAA' hovercapborder='F47E00' formatNumberScale='0' decimalPrecision='0' showvalues='1' numdivlines='10' numVdivlines='0' shownames='1' rotateNames='1'>

<set name='2009-10-04' value='57653' color='AFD8F8'/>

<set name='2009-10-05' value='57389' color='F6BD0F'/>

<set name='2009-10-06' value='59256' color='8BBA00'/>

<set name='2009-10-07' value='62762' color='FF8E46'/>

<set name='2009-10-08' value='63287' color='008E8E'/>

<set name='2009-10-09' value='60109' color='D64646'/>

<set name='2009-10-10' value='64653' color='8E468E'/>

<set name='2009-10-11' value='61687' color='588526'/>

</graph>

<graph>标签的一些属性:
baseFont: 图表的字体
baseFontSize: 图表的字号
caption: 标题
subcaption: 子标题
yAxisMinValue: y轴的最小值
yAxisMaxValue: y轴的最大值
hovercapbg: 当鼠标悬停时显示的背景色
hovercapborder: 当鼠标悬停时边框色
formatNumber(0/1):是否用逗号分隔(1--用逗号分隔,0--不用)
formatNumberScale(0/1): 是否添加K、M到数字(1--添加,0--不添加)
decimalPrecision: 小数的位数
showValues(0/1): 是否显示数值
numdivlines: 水平网格线的条数
numVdivlines: 垂直网络线显示的条数
showNames(0/1): 是否显示x轴的每个数据的名称
rotateNames(0/1): 是否旋转x轴的每个数据的名称
rotateYAxisName(0/1):是否显示y轴的名称
showAlternateHGridColor(0/1): 是否显示交替的网格颜色

<set>标签:
name: x轴的每个数据的名称
value: 值

有几种图可以使用单序列的XML格式的数据
(1)Pie图
FCF_Pie2D.swf FCF_Pie3D.swf





(2)Area图
FCF_Area2D.swf



(3)Bar图
FCF_Bar2D.swf



(4)Column图
FCF_Column2D.swf FCF_Column3D.swf





(5)Line图
FCF_Line.swf



(6)Doughnut图
FCF_Doughnut2D.swf



六、多序列XML形式
举例:

[c-sharp] view plaincopy

<graph baseFont='SunSim' baseFontSize='12' caption='分析' subcaption='' yAxisMinValue='0' yAxisMaxValue='100' xaxisname='地区

' yaxisname='数量' hovercapbg='FFECAA' hovercapborder='F47E00' formatNumberScale='0' decimalPrecision='0' showvalues='1'

numdivlines='10' numVdivlines='0' shownames='1' rotateNames='1' >

<categories font='Arial' fontSize='11' fontColor='000000'>

<category name='N. America' hoverText='North America'/>

<category name='Asia' />

<category name='Europe' />

<category name='Australia' />

<category name='Africa' />

</categories>

<dataset seriesname='Rice' color='FDC12E' alpha='100'>

<set value='30' />

<set value='26' />

<set value='29' />

<set value='31' />

<set value='34' />

</dataset>

<dataset seriesname='Wheat' color='56B9F9' showValues='1' alpha='100'>

<set value='67' />

<set value='98' />

<set value='79' />

<set value='73' />

<set value='80' />

</dataset>

<dataset seriesname='Grain' color='C9198D' showValues='1' alpha='100'>

<set value='27' />

<set value='25' />

<set value='28' />

<set value='26' />

<set value='10' />

</dataset>

</graph>

<graph>基本上同单序列XML形式
<categroies>指明x轴有几个种类
<categroy>对应一个种类
name:种类名
<dataset>指明一个序列集,序列集中值的个数同category的种类数
seriesname:序列的名称
<set>:序列的一个值

有几种图可以使用多序列的XML格式的数据
(1)Area图
FCF_MSArea2D.swf



(2)Bar图
FCF_MSBar2D.swf



(3)Column图
FCF_MSColumn2D.swf FCF_MSColumn3D.swf





(4)Line图
FCF_MSLine.swf



(5)Stacked图
FCF_StackedArea2D.swf



FCF_StackedBar2D.swf



FCF_StackedColumn2D.swf FCF_StackedColumn3D.swf





七、产生上述XML的类

[java] view plaincopy

public class FusionChartsXMLGenerator {

public static final int BOOLEAN_TRUE = 0;

public static final int BOOLEAN_FALSE = 1;

private static Logger LOGGER = LoggerFactory.getLogger(FusionChartsXMLGenerator.class);

private static FusionChartsXMLGenerator singleton = new FusionChartsXMLGenerator();

public static FusionChartsXMLGenerator getInstance() {

return singleton;

}

private FusionChartsXMLGenerator() {}

private String[] colors = {"AFD8F8", "F6BD0F", "8BBA00", "FF8E46", "008E8E",

"D64646", "8E468E", "588526", "B3AA00", "008ED6", "9D080D", "A186BE"};

/**

* data形式为:

* "" category1,category2,category3...-------->这是第一行

* type1 value1,value2,value3,...

* type2 value1,value2,value3,...

* ......

*/

public String getMultiDSXML(List<List<String>> data,

String caption, String subCaption,

String xAxisName, String yAxisName,

int showNames,int showValues,

int decimalPrecision, int rotateNames) {

double max = -Double.MAX_VALUE, min = Double.MAX_VALUE;

for (int i = 1; i < data.size(); i++) {

List row = (List)data.get(i);

for (int j = 1; j < row.size(); j++) {

String val = (String)row.get(j);

if (val != null && val.length() > 0) {

double v = Double.parseDouble(val);

if (v > max) {

max = v;

}

if (v < min) {

min = v;

}

}

}

}

if (max == -Double.MAX_VALUE) {

max = 0;

}

if (min == Double.MAX_VALUE) {

min = 0;

}

if (min == max && min == 0) {

min = 0;

max = 100;

}

max = Math.abs(max / 10) + max;

min = min - Math.abs(min / 10);

int valCnt = ((List)data.get(0)).size() - 1;

if (valCnt > 30) {

showNames = 0;

showValues = 0;

}

StringBuffer strXml = new StringBuffer();

strXml.append("<graph baseFont='SunSim' baseFontSize='12' caption='" +

caption +"' subcaption='" + subCaption + "' " +

"yAxisMinValue='" + min + "' yAxisMaxValue='" + max + "' " +

"xAxisName='" + xAxisName + "' yAxisName='" + yAxisName + "' hovercapbg='FFECAA' " +

"hovercapborder='F47E00' formatNumberScale='0' decimalPrecision='" + decimalPrecision + "' " +

"showValues='" + showValues + "' numdivlines='10' numVdivlines='0' " +

"showNames='" + showNames + "' rotateNames='" + rotateNames + "' " +

"rotateYAxisName='0' showAlternateHGridColor='1'>");

strXml.append("<categories>");

List headerRow = (List)data.get(0);

for (int i = 1; i < headerRow.size(); i++) {

strXml.append("<category name='" + headerRow.get(i) + "'/>");

}

strXml.append("</categories>");

for (int i = 1; i < data.size(); i++) {

List row = (List)data.get(i);

String name = (String)row.get(0);

String color = colors[(i - 1) % 12];

strXml.append("<dataset seriesName='" + name +"' " +

"color='" + color + "' anchorBorderColor='" + color + "' " +

"anchorBgColor='" + color + "'>");

for (int j = 1; j < row.size(); j++) {

strXml.append("<set value='" + (String)row.get(j) +"'/>");

}

strXml.append("</dataset>");

}

strXml.append("</graph>");

String str = strXml.toString();

LOGGER.info("=============/n" + str + "/n==============/n");

return str;

}

/**

* 数据格式为:

* name value

* name value

* ......

*/

public String getSingleDSXML(List<List<String>> data,

String caption, String subCaption,

String xAxisName, String yAxisName,

int showNames,int showValues,

int decimalPrecision, int rotateNames) {

double max = -Double.MAX_VALUE, min = Double.MAX_VALUE;

for (int i = 0; i < data.size(); i++) {

List<String> row = data.get(i);

double value = Double.parseDouble(row.get(1));

if (value > max) {

max = value;

}

if (value < min) {

min = value;

}

}

if (max == -Double.MAX_VALUE) {

max = 0;

}

if (min == Double.MAX_VALUE) {

min = 0;

}

if (min == max && min == 0) {

min = 0;

max = 100;

}

max = Math.abs(max / 10) + max;

min = min - Math.abs(min / 10);

int valCnt = data.size() - 1;

if (valCnt > 30) {

showNames = 0;

showValues = 0;

}

StringBuffer strXml = new StringBuffer();

strXml.append("<graph baseFont='SunSim' baseFontSize='12' caption='" +

caption +"' subcaption='" + subCaption + "' " +

"yAxisMinValue='" + min + "' yAxisMaxValue='" + max + "' " +

"xAxisName='" + xAxisName + "' yAxisName='" + yAxisName + "' hovercapbg='FFECAA' " +

"hovercapborder='F47E00' formatNumberScale='0' decimalPrecision='" + decimalPrecision + "' " +

"showValues='" + showValues + "' numdivlines='10' numVdivlines='0' " +

"showNames='" + showNames + "' rotateNames='" + rotateNames + "' " +

"rotateYAxisName='0' showAlternateHGridColor='1'>");

for (int i = 0; i < data.size(); i++) {

List<String> row = data.get(i);

String label = row.get(0);

String value = row.get(1);

String color = colors[i % 12];

strXml.append("<set name='" + label + "' value='" + value + "' color='" + color + "'/>");

}

strXml.append("</graph>");

String str = strXml.toString();

LOGGER.info("=============/n" + str + "/n==============/n");

return str;

}

}

八、其他图

(1)漏斗图

FCF_Funnel.swf

XML:

===================================

<graph numberPrefix='$'>

<set name='Jan' value='17400' color='0099FF' />

<set name='Feb' value='19800' color='FF66CC' />

<set name='Mar' value='21800' color='996600' />

<set name='Apr' value='23800' color='669966' />

<set name='May' value='29600' color='7C7CB4' />

<set name='Jun' value='27600' color='FF9933' />

<set name='Jul' value='31800' color='CCCC00' />

<set name='Aug' value='39700' color='9900FF' />

<set name='Sep' value='37800' color='999999' />

<set name='Oct' value='21900' color='99FFCC' />

<set name='Nov' value='32900' color='CCCCFF' />

<set name='Dec' value='39800' color='669900' />

</graph>

===================================



(2)线柱组合图

FCF_MSColumn2DLineDY.swf FCF_MSColumn3DLineDY.swf

XML:

===================================

<graph PYAxisName='Amount' SYAxisName='Quantity' shownames='1' showvalues='0' showLegend='1' rotateNames='0' formatNumberScale='1' decimalPrecision='2' limitsDecimalPrecision='2' divLineDecimalPrecision='3' formatNumber='1' >

<categories>

<category name='Ernst...' hoverText='Ernst Handel'/>

<category name='QUICK...' hoverText='QUICK-Stop'/>

<category name='Save-...' hoverText='Save-a-lot Markets'/>

<category name='Hanar...' hoverText='Hanari Carnes'/>

</categories>

<dataset seriesname='Amount' showValues='1' color='AFD8F8' parentYAxis='P' numberPrefix='$'>

<set value='41210.65' />

<set value='37217.32' />

<set value='36310.11' />

<set value='23821.2' />

</dataset>

<dataset seriesname='Discount' showValues='0' color='FDC12E' parentYAxis='P' numberPrefix='$'>

<set value='1202.27254486084' />

<set value='2736.60256195068' />

<set value='5047.74497413635' />

<set value='337.672510147095' />

</dataset>

<dataset seriesname='Quantity' showValues='0' color='FF8000' anchorBorderColor='FF8000' parentYAxis='S' lineThickness='9'>

<set value='1756' />

<set value='1096' />

<set value='1817' />

<set value='478' />

</dataset>

</graph>

========================================





(3)K线图

FCF_Candlestick.swf

XML:

========================================

<graph caption='3 Months - As on 04/02/04' yAxisMinValue='24' yAxisMaxValue='29' canvasBorderColor='DAE1E8' canvasBgColor='FFFFFF' bgColor='EEF2FB' numDivLines='9' divLineColor='DAE1E8' decimalPrecision='2' numberPrefix='$' showNames='1' bearBorderColor='E33C3C'
bearFillColor='FFFF00' bullBorderColor='1F3165' baseFontColor='444C60' hoverCapBorderColor='DAE1E8' hoverCapBgColor='FFFFFF' rotateNames='0'>

<categories font='' fontSize='10' fontColor='' verticalLineColor='' verticalLineThickness='2'>

<category Name='2004' xIndex='1' showLine='0'/>

<category Name='Feb' xIndex='31' showLine='1'/>

<category Name='March' xIndex='59' showLine='1'/>

</categories>

<data>

<set open='24.6' high='25.24' low='24.58' close='25.19' />

<set open='24.36' high='24.58' low='24.18' close='24.41' />

<set open='24.63' high='24.66' low='24.11' close='24.15' />

<set open='24.53' high='24.84' low='24.01' close='24.5' />

<set open='24.84' high='24.94' low='24.56' close='24.63' />

<set open='24.96' high='25.03' low='24.58' close='24.89' />

<set open='25.25' high='25.46' low='25.11' close='25.13' />

<set open='25.27' high='25.37' low='25.0999' close='25.18' />

<set open='25.33' high='25.43' low='25.06' close='25.16' />

<set open='25.38' high='25.51' low='25.23' close='25.38' />

<set open='25.2' high='25.78' low='25.07' close='25.09' />

<set open='25.66' high='25.8' low='25.35' close='25.37' />

<set open='25.77' high='25.97' low='25.54' close='25.72' />

<set open='26.31' high='26.35' low='25.81' close='25.83' />

<set open='26.23' high='26.6' low='26.2' close='26.35' />

<set open='26.37' high='26.42' low='26.21' close='26.37' />

<set open='26.35' high='26.55' low='26.22' close='26.37' />

<set open='26.63' high='26.69' low='26.35' close='26.39' />

<set open='26.65' high='26.72' low='26.5' close='26.7' />

<set open='26.48' high='26.62' low='26.35' close='26.53' />

<set open='26.63' high='26.65' low='26.41' close='26.5' />

<set open='26.89' high='26.99' low='26.61' close='26.7' />

<set open='26.6' high='26.95' low='26.55' close='26.88' />

<set open='26.75' high='26.76' low='26.4799' close='26.61' />

<set open='26.65' high='26.795' low='26.5' close='26.57' />

<set open='26.9' high='26.98' low='26.43' close='26.46' />

<set open='26.92' high='27.11' low='26.74' close='26.77' />

<set open='26.7' high='27.1' low='26.59' close='26.99' />

<set open='26.98' high='27.06' low='26.5' close='26.59' />

<set open='27.09' high='27.15' low='26.93' close='26.95' />

<set open='26.95' high='27.23' low='26.85' close='27.15' />

<set open='26.86' high='27.15' low='26.82' close='27.02' />

<set open='27.18' high='27.229' low='26.85' close='26.9' />

<set open='27' high='27.19' low='26.93' close='27.08' />

<set open='27.06' high='27.17' low='26.83' close='26.96' />

<set open='27.15' high='27.43' low='27.01' close='27.01' />

<set open='27.42' high='27.55' low='27.18' close='27.29' />

<set open='27.63' high='27.8' low='27.24' close='27.4' />

<set open='27.85' high='27.9' low='27.55' close='27.65' />

<set open='27.78' high='27.95' low='27.57' close='27.91' />

<set open='28.28' high='28.44' low='27.47' close='27.71' />

<set open='28.6' high='28.72' low='28.22' close='28.25' />

<set open='28.49' high='28.83' low='28.32' close='28.8' />

<set open='28.27' high='28.76' low='28.22' close='28.48' />

<set open='28.37' high='28.44' low='27.94' close='28.01' />

<set open='28.13' high='28.3' low='27.85' close='28.3' />

<set open='27.99' high='28.2' low='27.93' close='28.1' />

<set open='27.74' high='27.88' low='27.53' close='27.81' />

<set open='27.55' high='27.72' low='27.42' close='27.54' />

<set open='27.51' high='27.73' low='27.47' close='27.7' />

<set open='27.54' high='27.64' low='27.26' close='27.43' />

<set open='27.67' high='27.73' low='27.35' close='27.57' />

<set open='28.03' high='28.061' low='27.59' close='27.66' />

<set open='28.39' high='28.48' low='28' close='28.16' />

<set open='28.17' high='28.31' low='28.01' close='28.21' />

<set open='28.19' high='28.28' low='28.07' close='28.24' />

<set open='27.73' high='28.18' low='27.72' close='28.14' />

<set open='27.58' high='27.77' low='27.33' close='27.45' />

<set open='27.42' high='27.55' low='27.23' close='27.37' />

<set open='27.41' high='27.55' low='27.4' close='27.52' />

<set open='27.21' high='27.53' low='27.16' close='27.46' />

<set open='27.05' high='27.25' low='27' close='27.21' />

</data>

</graph>

================================================

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