Dojo Chart之常用统计图

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很多做web的都知道,在很多web系统中会涉及到一些统计图,例如饼状图,柱状图、趋势图、以及叠加图等。提到这儿,做web的都很熟悉的,jquery的highcharts就能搞定所有的涉及到统计图的功能,highcharts我自己也在经常用,但是呢,用过arcgis for javascript的同志们深深地知道,arcgis的那一套选择的是dojo,并不能很好的与jquery结合使用,所以,还得回归到dojo上面去。dojo的统计功能,也很强大的,前两篇博文对dojo的统计图做了一定的说明,就算入个门,在本节,重点讲述在地图中常见的统计图的实现方式。


dojo的统计图表在dojox/charting下面。


1、柱状图

在dojo中实现柱状图有两种,一种是横着的,为Bars,一种是竖着的,为Columns,其分别位于dojox/charting/plot2d/Bars和dojox/charting/plot2d/Columns下面。其实现方式为:

    <script>
        require([
            "dojox/charting/Chart2D","dojox/charting/plot2d/ClusteredBars","dojox/charting/plot2d/ClusteredColumns","dojox/charting/plot2d/Bars","dojox/charting/plot2d/Columns","dojox/charting/axis2d/Default","dojo/domReady!"
        ],function(
            Chart2D
        ){
            var chartData = [14000,9200,11811,12000,8662,8668];
            var chart = new Chart2D("barchart");
            chart.addPlot("default",{
                type: type,//Bars或者Colums
                gap: 8
            });
            var  xStr = ["周一","周二","周三","周四","周五","周六","周日"];
            // Add axes
            var myLabelFunc = function(text,value,precision){
                return xStr[text-1];
            };
            chart.addAxis("x",{ labelFunc: myLabelFunc });
            chart.addAxis("y",{ vertical:true,fixLower: "major",fixUpper: "major" });
            chart.addSeries("usa",chartData);
            chart.render();
        });
    </script>
上述代码实现的结果为:


Bars


Columns


Bars和Columns实现的只是这种只有一个series的,如果图表中有多个series,我们得用ClusteredBars和ClusteredColumns,聚类柱状图,该类柱状图分别位于dojox/charting/plot2d/ClusteredBars和dojox/charting/plot2d/ClusteredColumns下面。其实现方式与上述柱状图的实现方式类似,如下:

    <script>
        require([
            "dojox/charting/Chart2D",function(
            Chart2D
        ){
            var chartData1 = [14000,8668];
            var chartData2 = [2000,4440,4000,5987,4567,5677,5678];
            var chart = new Chart2D("barchart");
            chart.addPlot("default",gap: 8
            });
            var  xStr = ["周一",fixUpper: "major" });
            chart.addSeries("Series1",chartData1);
            chart.addSeries("Series2",chartData2);
            chart.render();
        });
    </script>

上述代码实现的效果如下:


聚类Bars


聚类Colums

2、饼状图

相对于柱状图,饼状图是比较简单的,位于dojox/charting/plot2d/Pie下面,实现方式如下:

    <script type="text/javascript">
        require([
            "dojox/charting/Chart2D","dojox/charting/plot2d/Pie","dojox/charting/themes/PlotKit/blue",function(
                Chart2D,Pie,theme
                ){
            var chartData=[
                {y: 10,text: "服装",color: "powderblue",stroke: "black",tooltip:"服装:" + 10+ "(" + 6 + "%)"},{ y: 20,text: "电器",color: "cadetblue",tooltip: "电器: " + 20 + " (" + 13 + "%)" },{ y: 30,text: "百货",color: "cornflowerblue",tooltip: "百货: " + 30 + " (" + 20 + "%)" },{ y: 40,text: "建材",color: "lightsteelblue",tooltip: "建材: " + 40 + " (" + 26 + "%)" },{ y: 50,text: "其他",color: "dodgerblue",tooltip: "其他:" + 50 + " (" + 33 + "%)"}
            ];

            var chart1 = new dojox.charting.Chart2D("test1",{
                title: "销售比例图",titlePos: "top",titleGap: 25,titleFont: "normal normal normal 10pt Arial",titleFontColor: "orange"
            });
            chart1.setTheme(dojox.charting.themes.PlotKit.blue);
            chart1.addPlot("default",{
                type: "Pie",font: "normal normal bold 12pt Tahoma",fontColor: "white",labelOffset: 40
            });
            chart1.addSeries("Series A",chartData);
            chart1.render();
        });
    </script>
上述代码的实现效果为:


饼状图


3、线状图

相对来说,线状图的实现也比较简单,位于dojox/charting/plot2d/Lines下面,实现代码如下:

    <script type="text/javascript">
        require([
            "dojox/charting/Chart2D","dojox/charting/plot2d/Lines","dojox/charting/plot2d/StackedAreas","dojox/charting/action2d/Highlight","dojox/charting/action2d/Tooltip","dojox/charting/action2d/MoveSlice","dojox/charting/widget/Legend",Lines,StackedAreas,theme,Highlight,Tooltip,MoveSlice,Legend
             )
        {
            var chartData = [14000,8662];
            var chartData1 = [20000,13000,5000,6000,7008,8000];
            var chart1 = new dojox.charting.Chart2D("chart");
            chart1.setTheme(dojox.charting.themes.PlotKit.blue);
            chart1.addPlot("default",{
                type: "Lines",markers:true,tension:"S"
            });

            var  xStr = ["周一","周日"];
            var myLabelFunc = function(text,precision){
                return xStr[text-1];
            };
            chart1.addAxis("x",{ labelFunc: myLabelFunc });
            chart1.addAxis("y",fixUpper: "major" });
            chart1.addSeries("china",chartData,{stroke: {color: "#5782AE"},fill: "#5782AE"});
            chart1.addSeries("usa",chartData1,{stroke: {color: "#000066"},fill: "#000066"});
            chart1.render();
        });
    </script>
代码,线状图的实现方式和柱状图一样,注意,线状图在addPlot的时候,里面有一个参数markers,这个参数设置的是数据点是否显示显示效果如下:


显示数据点


不显示数据点

4、区域图

区域图也是一个比较常见的统计图之一,位于dojox/charting/plot2d/Areas下面,其实现代码如下:

    <script type="text/javascript">
        require([
            "dojox/charting/Chart2D","dojox/charting/plot2d/Areas",Areas,{
                type: "Areas",fill: "#5782AE"});
            chart1.render();
        });
    </script>


5、堆积图

堆积图在dojo里面可以实现很多种类型的,分别为堆积图、堆积区域图、堆积柱状图、堆积线状图。堆积图的实现与各相对应图差不多,下面以堆积柱状图为例,看看堆积图的实现方式:

    <script type="text/javascript">
        require(["dojox/charting/Chart","dojox/charting/plot2d/StackedColumns","dojox/charting/themes/Wetland",function(Chart,Default,StackedColumns,Wetland){
            var chart = new Chart("chart");
            chart.addPlot("default",{
                        type: "StackedColumns",gap: 8
                    }
            );
            chart.addAxis("x",{fixLower: "major",fixUpper: "major"});
            chart.addAxis("y",{vertical: true,fixUpper: "major",min: 0});
            chart.setTheme(Wetland);
            chart.addSeries("Series A",[1,2,0.5,1.5,1,2.8,0.4]);
            chart.addSeries("Series B",[2.6,1.8,1.4,0.7,2]);
            chart.addSeries("Series C",[6.3,3,4.4,2.7,2]);
            chart.render();
        });
    </script>
实现的效果如下:


堆积柱状图

此外,dojo还有别的统计图,在此就不在作介绍,后面还会继续介绍,还望后面继续关注。

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