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FusionCharts中文教程:自定义图表的双Y轴

时间:2015-12-08 02:18:42      阅读:237      评论:0      收藏:0      [点我收藏+]

本篇教程将从字体、背景、边框三个方面来教大家如何自定义FusionCharts双Y轴图表的主次轴标题属性。

< 立即下载体验FusionCharts>

1.配置主次Y轴名称的字体属性

多系列组合2D图表的主次Y轴名称字体设置为斜体效果图如下:

bubuko.com,布布扣

设置双Y轴名称字体所需属性如下表:

属性名称 描述
pYAxisName?(sYAxisName) 用于在多系列图表中设置主(次)Y轴的名称。
pYAxisNameFont?(sYAxisNameFont) 设置主(次)Y轴的字体。
pYAxisNameFontColor?(sYAxisNameFontColor) 设置主(次)Y轴名称的字体颜色。
pYAxisNameFontSize?(sYAxisNameFontSize) 设置主(次)Y轴名称的字体大小。
pYAxisNameFontBold?(sYAxisNameFontBold) 为1时将主(次)Y轴名称设置为加粗;为0时设置为正常。
pYAxisNameFontItalic?(sYAxisNameFontItalic) 为1时将主(次)Y轴名称设置为斜体;为0时设置为正常。

上图的数据结构如下:
JSON:

{
??? "chart": {
??????? "caption": "Revenues and Profits",
??????? "subCaption": "For last year",
??????? "xAxisname": "Month",
??????? "pYAxisName": "Amount (In USD)",
??????? "sYAxisName": "Profit %",
??????? "numberPrefix": "$",
??????? "sNumberSuffix": "%",
??????? "sYAxisMaxValue": "50",
??????? "pYAxisNameFont": "Arial",
??????? "pYAxisNameFontSize": "12",
??????? "pYAxisNameFontColor": "#003366",
??????? "pYAxisNameFontBold": "1",
??????? "pYAxisNameFontItalic": "1",
??????? "pYAxisNameAlpha": "50",
??????? "sYAxisNameFont": "Arial",
??????? "sYAxisNameFontSize": "12",
??????? "sYAxisNameFontColor": "#003366",
??????? "sYAxisNameFontBold": "1",
??????? "sYAxisNameFontItalic": "1",
??????? "sYAxisNameAlpha": "50",
??????? "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": "Revenues",
??????????? "data": [
??????????????? {
??????????????????? "value": "16000"
??????????????? },
??????????????? {
??????????????????? "value": "20000"
??????????????? },
??????????????? {
??????????????????? "value": "18000"
??????????????? },
??????????????? {
??????????????????? "value": "19000"
??????????????? },
??????????????? {
??????????????????? "value": "15000"
??????????????? },
??????????????? {
??????????????????? "value": "21000"
??????????????? },
??????????????? {
??????????????????? "value": "16000"
??????????????? },
??????????????? {
??????????????????? "value": "20000"
??????????????? },
??????????????? {
??????????????????? "value": "17000"
??????????????? },
??????????????? {
??????????????????? "value": "22000"
??????????????? },
??????????????? {
??????????????????? "value": "19000"
??????????????? },
??????????????? {
??????????????????? "value": "23000"
??????????????? }
??????????? ]
??????? },
??????? {
??????????? "seriesName": "Profits",
??????????? "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"
??????????????? }
??????????? ]
??????? },
??????? {
??????????? "seriesName": "Profit %age",
??????????? "parentYAxis": "S",
??????????? "renderAs": "line",
??????????? "showValues": "0",
??????????? "data": [
??????????????? {
??????????????????? "value": "25"
??????????????? },
??????????????? {
??????????????????? "value": "25"
??????????????? },
??????????????? {
??????????????????? "value": "16.66"
??????????????? },
??????????????? {
??????????????????? "value": "21.05"
??????????????? },
??????????????? {
??????????????????? "value": "6.66"
??????????????? },
??????????????? {
??????????????????? "value": "33.33"
??????????????? },
??????????????? {
??????????????????? "value": "6.25"
??????????????? },
??????????????? {
??????????????????? "value": "25"
??????????????? },
??????????????? {
??????????????????? "value": "5.88"
??????????????? },
??????????????? {
??????????????????? "value": "36.36"
??????????????? },
??????????????? {
??????????????????? "value": "10.52"
??????????????? },
??????????????? {
??????????????????? "value": "30.43"
??????????????? }
??????????? ]
??????? }
??? ]
}

XML:

<chart caption="Revenues and Profits" subcaption="For last year" xaxisname="Month" pyaxisname="Amount (In USD)" syaxisname="Profit %" numberprefix="$" snumbersuffix="%" syaxismaxvalue="50" pyaxisnamefont="Arial" pyaxisnamefontsize="12" pyaxisnamefontcolor="#003366" pyaxisnamefontbold="1" pyaxisnamefontitalic="1" pyaxisnamealpha="50" syaxisnamefont="Arial" syaxisnamefontsize="12" syaxisnamefontcolor="#003366" syaxisnamefontbold="1" syaxisnamefontitalic="1" syaxisnamealpha="50" theme="fint">
??? <categories>
??????? < category label="Jan" />
??????? < category label="Feb" />
??????? < category label="Mar" />
??????? < category label="Apr" />
??????? < category label="May" />
??????? < category label="Jun" />
??????? < category label="Jul" />
??????? < category label="Aug" />
??????? < category label="Sep" />
??????? < category label="Oct" />
??????? < category label="Nov" />
??????? < category label="Dec" />
??? </categories>
??? <dataset seriesname="Revenues">
??????? < set value="16000" />
??????? < set value="20000" />
??????? < set value="18000" />
??????? < set value="19000" />
??????? < set value="15000" />
??????? < set value="21000" />
??????? < set value="16000" />
??????? < set value="20000" />
??????? < set value="17000" />
??????? < set value="22000" />
??????? < set value="19000" />
??????? < set value="23000" />
??? </dataset>
??? <dataset seriesname="Profits" renderas="area" showvalues="0">
??????? < set value="4000" />
??????? < set value="5000" />
??????? < set value="3000" />
??????? < set value="4000" />
??????? < set value="1000" />
??????? < set value="7000" />
??????? < set value="1000" />
??????? < set value="4000" />
??????? < set value="1000" />
??????? < set value="8000" />
??????? < set value="2000" />
??????? < set value="7000" />
??? </dataset>
??? <dataset seriesname="Profit %age" parentyaxis="S" renderas="line" showvalues="0">
??????? < set value="25" />
??????? < set value="25" />
??????? < set value="16.66" />
??????? < set value="21.05" />
??????? < set value="6.66" />
??????? < set value="33.33" />
??????? < set value="6.25" />
??????? < set value="25" />
??????? < set value="5.88" />
??????? < set value="36.36" />
??????? < set value="10.52" />
??????? < set value="30.43" />
??? </dataset>
</chart>

2.配置主(次)Y轴名称的背景属性

多系列组合2D图表的主(次)Y轴名称蓝色和半透明背景效果如下:

bubuko.com,布布扣

配置双Y轴名称所需属性如下表:

属性名称 描述
pYAxisNameFontAlpha?(sYAxisNameFontAlpha) 设置主(次)Y轴名称字体的透明度。
pYAxisNameBgColor?(sYAxisNameBgColor) 设置主(次)Y轴名称的字体颜色。
pYAxisNameBgAlpha?(sYAxisNameBgAlpha) 设置主(次)Y轴名称的背景透明度。

上面所示图表的数据结构如下:
JSON:

{
??? "chart": {
??????? "caption": "Revenues and Profits",
??????? "subCaption": "For last year",
??????? "xAxisname": "Month",
??????? "pYAxisName": "Amount (In USD)",
??????? "sYAxisName": "Profit %",
??????? "numberPrefix": "$",
??????? "sNumberSuffix": "%",
??????? "sYAxisMaxValue": "50",
??????? "pYAxisNameFont": "Arial",
??????? "pYAxisNameFontSize": "12",
??????? "pYAxisNameBgColor": "#3399ff",
??????? "pYAxisNameBgAlpha": "20",
??????? "pYAxisNameBorderPadding": "6",
??????? "pYAxisNameFontAlpha": "50",
??????? "sYAxisNameFont": "Arial",
??????? "sYAxisNameFontSize": "12",
??????? "sYAxisNameBgColor": "#3399ff",
??????? "sYAxisNameBgAlpha": "20",
??????? "sYAxisNameBorderPadding": "6",
??????? "sYAxisNameFontAlpha": "50",
??????? "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": "Revenues",
??????????? "data": [
??????????????? {
??????????????????? "value": "16000"
??????????????? },
??????????????? {
??????????????????? "value": "20000"
??????????????? },
??????????????? {
??????????????????? "value": "18000"
??????????????? },
??????????????? {
??????????????????? "value": "19000"
??????????????? },
??????????????? {
??????????????????? "value": "15000"
??????????????? },
??????????????? {
??????????????????? "value": "21000"
??????????????? },
??????????????? {
??????????????????? "value": "16000"
??????????????? },
??????????????? {
??????????????????? "value": "20000"
??????????????? },
??????????????? {
??????????????????? "value": "17000"
??????????????? },
??????????????? {
??????????????????? "value": "22000"
??????????????? },
??????????????? {
??????????????????? "value": "19000"
??????????????? },
??????????????? {
??????????????????? "value": "23000"
??????????????? }
??????????? ]
??????? },
??????? {
??????????? "seriesName": "Profits",
??????????? "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"
??????????????? }
??????????? ]
??????? },
??????? {
??????????? "seriesName": "Profit %age",
??????????? "parentYAxis": "S",
??????????? "renderAs": "line",
??????????? "showValues": "0",
??????????? "data": [
??????????????? {
??????????????????? "value": "25"
??????????????? },
??????????????? {
??????????????????? "value": "25"
??????????????? },
??????????????? {
??????????????????? "value": "16.66"
??????????????? },
??????????????? {
??????????????????? "value": "21.05"
??????????????? },
??????????????? {
??????????????????? "value": "6.66"
??????????????? },
??????????????? {
??????????????????? "value": "33.33"
??????????????? },
??????????????? {
??????????????????? "value": "6.25"
??????????????? },
??????????????? {
??????????????????? "value": "25"
??????????????? },
??????????????? {
??????????????????? "value": "5.88"
??????????????? },
??????????????? {
??????????????????? "value": "36.36"
??????????????? },
??????????????? {
??????????????????? "value": "10.52"
??????????????? },
??????????????? {
??????????????????? "value": "30.43"
??????????????? }
??????????? ]
??????? }
??? ]
}

XML:

<chart caption="Revenues and Profits" subcaption="For last year" xaxisname="Month" pyaxisname="Amount (In USD)" syaxisname="Profit %" numberprefix="$" snumbersuffix="%" syaxismaxvalue="50" pyaxisnamefont="Arial" pyaxisnamefontsize="12" pyaxisnamebgcolor="#3399ff" pyaxisnamebgalpha="20" pyaxisnameborderpadding="6" pyaxisnamefontalpha="50" syaxisnamefont="Arial" syaxisnamefontsize="12" syaxisnamebgcolor="#3399ff" syaxisnamebgalpha="20" syaxisnameborderpadding="6" syaxisnamefontalpha="50" theme="fint">
??? <categories>
??????? < category label="Jan" />
??????? < category label="Feb" />
??????? < category label="Mar" />
??????? < category label="Apr" />
??????? < category label="May" />
??????? < category label="Jun" />
??????? < category label="Jul" />
??????? < category label="Aug" />
??????? < category label="Sep" />
??????? < category label="Oct" />
??????? < category label="Nov" />
??????? < category label="Dec" />
??? </categories>
??? <dataset seriesname="Revenues">
??????? < set value="16000" />
??????? < set value="20000" />
??????? < set value="18000" />
??????? < set value="19000" />
??????? < set value="15000" />
??????? < set value="21000" />
??????? < set value="16000" />
??????? < set value="20000" />
??????? < set value="17000" />
??????? < set value="22000" />
??????? < set value="19000" />
??????? < set value="23000" />
??? </dataset>
??? <dataset seriesname="Profits" renderas="area" showvalues="0">
??????? < set value="4000" />
??????? < set value="5000" />
??????? < set value="3000" />
??????? < set value="4000" />
??????? < set value="1000" />
??????? < set value="7000" />
??????? < set value="1000" />
??????? < set value="4000" />
??????? < set value="1000" />
??????? < set value="8000" />
??????? < set value="2000" />
??????? < set value="7000" />
??? </dataset>
??? <dataset seriesname="Profit %age" parentyaxis="S" renderas="line" showvalues="0">
??????? < set value="25" />
??????? < set value="25" />
??????? < set value="16.66" />
??????? < set value="21.05" />
??????? < set value="6.66" />
??????? < set value="33.33" />
??????? < set value="6.25" />
??????? < set value="25" />
??????? < set value="5.88" />
??????? < set value="36.36" />
??????? < set value="10.52" />
??????? < set value="30.43" />
??? </dataset>
</chart>

3.配置主(次)Y轴名称的边框属性

多系列2D图表的主(次)Y轴名称带有紫色虚线边框的效果如下图所示:

bubuko.com,布布扣

设置主(次)Y轴名称边框所需属性如下表:

属性名称 描述
pYAxisNameBorderColor?(sYAxisNameBorderColor) 设置主(次)y轴名称边框的颜色。
pYAxisNameBorderAlpha?(sYAxisNameBorderAlpha) 设置主(次)y轴名称边框的透明度。
pYAxisNameBorderPadding?(sYAxisNameBorderPadding) 设置主(次)y轴名称边框的填充效果。
pYAxisNameBorderRadius?(sYAxisNameBorderRadius) 设置主(次)y轴名称边框的直径。
pYAxisNameBorderThickness?(sYAxisNameBorderThickness) 设置主(次)y轴名称边框的厚度。
pYAxisNameBorderDashed?(sYAxisNameBorderDashed) 为1时将主(次)Y轴边框设置为虚线;为0时设置为正常。
pYAxisNameBorderDashLen?(sYAxisNameBorderDashLen) 设置主(次)y轴名称虚线边框效果中的短线长度。
pYAxisNameBorderDashGap?(sYAxisNameBorderDashGap) 设置主(次)Y轴名称虚线边框效果中两个短线之间的空白距离。

上面所示图标的数据结构如下:
JSON:

{
??? "chart": {
??????? "caption": "Revenues and Profits",
??????? "subCaption": "For last year",
??????? "xAxisname": "Month",
??????? "pYAxisName": "Amount (In USD)",
??????? "sYAxisName": "Profit %age",
??????? "numberPrefix": "$",
??????? "sNumberSuffix": "%",
??????? "sYAxisMaxValue": "50",
??????? "pYAxisNameBorderColor": "#6666FF",
??????? "pYAxisNameBorderAlpha": "50",
??????? "pYAxisNameBorderPadding": "6",
??????? "pYAxisNameBorderRadius": "0",
??????? "pYAxisNameBorderThickness": "1",
??????? "pYAxisNameBorderDashed": "1",
??????? "pYAxisNameBorderDashLen": "4",
??????? "pYAxisNameBorderDashGap": "2",
??????? "sYAxisNameBorderColor": "#6666FF",
??????? "sYAxisNameBorderAlpha": "50",
??????? "sYAxisNameBorderPadding": "6",
??????? "sYAxisNameBorderRadius": "0",
??????? "sYAxisNameBorderThickness": "1",
??????? "sYAxisNameBorderDashed": "1",
??????? "sYAxisNameBorderDashLen": "4",
??????? "sYAxisNameBorderDashGap": "2",
??????? "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": "Revenues",
??????????? "data": [
??????????????? {
??????????????????? "value": "16000"
??????????????? },
??????????????? {
??????????????????? "value": "20000"
??????????????? },
??????????????? {
??????????????????? "value": "18000"
??????????????? },
??????????????? {
??????????????????? "value": "19000"
??????????????? },
??????????????? {
??????????????????? "value": "15000"
??????????????? },
??????????????? {
??????????????????? "value": "21000"
??????????????? },
??????????????? {
??????????????????? "value": "16000"
??????????????? },
??????????????? {
??????????????????? "value": "20000"
??????????????? },
??????????????? {
??????????????????? "value": "17000"
??????????????? },
??????????????? {
??????????????????? "value": "22000"
??????????????? },
??????????????? {
??????????????????? "value": "19000"
??????????????? },
??????????????? {
??????????????????? "value": "23000"
??????????????? }
??????????? ]
??????? },
??????? {
??????????? "seriesName": "Profits",
??????????? "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"
??????????????? }
??????????? ]
??????? },
??????? {
??????????? "seriesName": "Profit %age",
??????????? "parentYAxis": "S",
??????????? "renderAs": "line",
??????????? "showValues": "0",
??????????? "data": [
??????????????? {
??????????????????? "value": "25"
??????????????? },
??????????????? {
??????????????????? "value": "25"
??????????????? },
??????????????? {
??????????????????? "value": "16.66"
??????????????? },
??????????????? {
??????????????????? "value": "21.05"
??????????????? },
??????????????? {
??????????????????? "value": "6.66"
??????????????? },
??????????????? {
??????????????????? "value": "33.33"
??????????????? },
??????????????? {
??????????????????? "value": "6.25"
??????????????? },
??????????????? {
??????????????????? "value": "25"
??????????????? },
??????????????? {
??????????????????? "value": "5.88"
??????????????? },
??????????????? {
??????????????????? "value": "36.36"
??????????????? },
??????????????? {
??????????????????? "value": "10.52"
??????????????? },
??????????????? {
??????????????????? "value": "30.43"
??????????????? }
??????????? ]
??????? }
??? ]
}

XML:

<chart caption="Revenues and Profits" subcaption="For last year" xaxisname="Month" pyaxisname="Amount (In USD)" syaxisname="Profit %age" numberprefix="$" snumbersuffix="%" syaxismaxvalue="50" pyaxisnamebordercolor="#6666FF" pyaxisnameborderalpha="50" pyaxisnameborderpadding="6" pyaxisnameborderradius="0" pyaxisnameborderthickness="1" pyaxisnameborderdashed="1" pyaxisnameborderdashlen="4" pyaxisnameborderdashgap="2" syaxisnamebordercolor="#6666FF" syaxisnameborderalpha="50" syaxisnameborderpadding="6" syaxisnameborderradius="0" syaxisnameborderthickness="1" syaxisnameborderdashed="1" syaxisnameborderdashlen="4" syaxisnameborderdashgap="2" theme="fint">
??? <categories>
??????? < category label="Jan" />
??????? < category label="Feb" />
??????? < category label="Mar" />
??????? < category label="Apr" />
??????? < category label="May" />
??????? < category label="Jun" />
??????? < category label="Jul" />
??????? < category label="Aug" />
??????? < category label="Sep" />
??????? < category label="Oct" />
??????? < category label="Nov" />
??????? < category label="Dec" />
??? </categories>
??? <dataset seriesname="Revenues">
??????? < set value="16000" />
??????? < set value="20000" />
??????? < set value="18000" />
??????? < set value="19000" />
??????? < set value="15000" />
??????? < set value="21000" />
??????? < set value="16000" />
??????? < set value="20000" />
??????? < set value="17000" />
??????? < set value="22000" />
??????? < set value="19000" />
??????? < set value="23000" />
??? </dataset>
??? <dataset seriesname="Profits" renderas="area" showvalues="0">
??????? < set value="4000" />
??????? < set value="5000" />
??????? < set value="3000" />
??????? < set value="4000" />
??????? < set value="1000" />
??????? < set value="7000" />
??????? < set value="1000" />
??????? < set value="4000" />
??????? < set value="1000" />
??????? < set value="8000" />
??????? < set value="2000" />
??????? < set value="7000" />
??? </dataset>
??? <dataset seriesname="Profit %age" parentyaxis="S" renderas="line" showvalues="0">
??????? < set value="25" />
??????? < set value="25" />
??????? < set value="16.66" />
??????? < set value="21.05" />
??????? < set value="6.66" />
??????? < set value="33.33" />
??????? < set value="6.25" />
??????? < set value="25" />
??????? < set value="5.88" />
??????? < set value="36.36" />
??????? < set value="10.52" />
??????? < set value="30.43" />
??? </dataset>
</chart>

FusionCharts中文教程:自定义图表的双Y轴

原文:http://huang-xiaok.iteye.com/blog/2262341

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