原创|使用教程|编辑:郑恭琳|2015-12-03 09:39:10.000|阅读 2373 次
概述: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。
# 慧都年终大促·界面/图表报表/文档/IDE等千款热门软控件火热促销中 >>
相关链接:
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。
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:
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>
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:
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>
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:
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>
购买最新正版授权!""
慧都年终盛典火爆开启,一年仅一次的最强促销,破冰钜惠不容错过!!优惠详情点击查看>>
本站文章除注明转载外,均为本站原创或翻译。欢迎任何形式的转载,但请务必注明出处、不得修改原文相关链接,如果存在内容上的异议请邮件反馈至chenjj@pclwef.cn