JasperReport：

Question

我完成了所有Reportstuff的工作，生成了PDF，并将其重定向为servlet响应。

报告打开，并且我通过的数据在那里（使用文本字段测试过...数据在那里）。当我尝试在折线图中显示数据时，它仅显示一个数据点。我已将图表按“天”数据分组，因为我希望每天都有一个新图表（这也可以工作，因为testdata中31天有31张图表。

加上我要显示的多行内容受“类型”数据的约束。所以我想在每张图上显示四行：数据本身（类型= 1），最小值（类型= 2），平均值（类型= 3）和最大值（类型= 3）。但这根本行不通...我的错误在哪里？

代码如下：

JasperReport：

    <?xml version="1.0" encoding="UTF-8"?>
<!-- Created with Jaspersoft Studio version 6.6.0.final using JasperReports Library version 6.6.0  -->
<jasperReport xmlns="http://jasperreports.sourceforge.net/jasperreports" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://jasperreports.sourceforge.net/jasperreports http://jasperreports.sourceforge.net/xsd/jasperreport.xsd" name="jasper_report_template" pageWidth="595" pageHeight="842" whenNoDataType="NoPages" columnWidth="515" leftMargin="40" rightMargin="40" topMargin="50" bottomMargin="50" uuid="c5395651-075a-4d6a-a971-d283cab77f63">
    <parameter name="ReportTitle" class="java.lang.String"/>
    <parameter name="Author" class="java.lang.String"/>
    <queryString>
        <![CDATA[]]>
    </queryString>
    <field name="day" class="java.lang.Integer">
        <fieldDescription><![CDATA[day]]></fieldDescription>
    </field>
    <field name="type" class="java.lang.Integer">
        <fieldDescription><![CDATA[type]]></fieldDescription>
    </field>
    <field name="time" class="java.lang.String">
        <fieldDescription><![CDATA[time]]></fieldDescription>
    </field>
    <field name="kwh" class="java.lang.Double">
        <fieldDescription><![CDATA[kwh]]></fieldDescription>
    </field>
    <sortField name="day"/>
    <sortField name="type"/>
    <group name="DayGroup" minHeightToStartNewPage="60">
        <groupExpression><![CDATA[$F{day}]]></groupExpression>
        <groupHeader>
            <band height="210" splitType="Stretch">
                <lineChart>
                    <chart evaluationTime="Group" evaluationGroup="DayGroup">
                        <reportElement x="-20" y="10" width="560" height="200" uuid="9abe6b47-1c6f-4bd0-a684-abf9e91b4adc"/>
                        <chartTitle/>
                        <chartSubtitle/>
                        <chartLegend/>
                    </chart>
                    <categoryDataset>
                        <dataset resetType="Group" resetGroup="DayGroup" incrementType="Group" incrementGroup="DayGroup"/>
                        <categorySeries>
                            <seriesExpression><![CDATA[$F{type}]]></seriesExpression>
                            <categoryExpression><![CDATA[$F{time}]]></categoryExpression>
                            <valueExpression><![CDATA[$F{kwh}]]></valueExpression>
                        </categorySeries>
                    </categoryDataset>
                    <linePlot>
                        <plot/>
                        <categoryAxisFormat>
                            <axisFormat labelColor="#000000" tickLabelColor="#000000" axisLineColor="#000000"/>
                        </categoryAxisFormat>
                        <valueAxisFormat>
                            <axisFormat labelColor="#000000" tickLabelColor="#000000" axisLineColor="#000000"/>
                        </valueAxisFormat>
                    </linePlot>
                </lineChart>
            </band>
        </groupHeader>
    </group>
</jasperReport>

Servlet：

JRBeanCollectionDataSource jrbcds = new JRBeanCollectionDataSource(BasicDataHandler.getInstance().getThatBeanList());

            String path = getServletContext().getRealPath("/reports/");
            JasperReport jasReport = JasperCompileManager.compileReport(path+ "/template_all_month_line_graph.jrxml");
            JasperPrint jasPrint; 
            jasPrint = JasperFillManager.fillReport(jasReport, null, jrbcds);
            ServletOutputStream sos = response.getOutputStream();
            response.setContentType("application/pdf");
            JasperExportManager.exportReportToPdfStream(jasPrint, sos);

BasicDataHandler：

package sc2pdf.datahandlers;

import java.util.ArrayList;
import java.util.Calendar;
import java.util.Collection;
import java.util.HashMap;
import java.util.Iterator;
import java.util.List;
import java.util.Map;

import net.sf.jasperreports.engine.data.JRBeanCollectionDataSource;
import sc2pdf.datasets.DailyDataSet;
import sc2pdf.javabeans.DataObject;

public class BasicDataHandler {

    private static BasicDataHandler myself=null;
    private Map<Integer, DailyDataSet> data = null;
    private Map<Integer, DailyDataSet> min_data = null;
    private Map<Integer, DailyDataSet> avg_data = null;
    private Map<Integer, DailyDataSet> max_data = null;


    public BasicDataHandler() {

        data = new HashMap<Integer, DailyDataSet>();        //holds all the real data values; key: DAY_OF_MONTH; value DailyDataSet for every day of month
        min_data = new HashMap<Integer, DailyDataSet>();    //holds all the min data values; key: DAY_OF_WEEK; value DailyDataSet for every day of week
        avg_data = new HashMap<Integer, DailyDataSet>();    //holds all the average data values; key: DAY_OF_WEEK; value DailyDataSet for every day of week
        max_data = new HashMap<Integer, DailyDataSet>();    //holds all the max data values; key: DAY_OF_WEEK; value DailyDataSet for every day of week

    }

    public static BasicDataHandler getInstance() {

        if (myself == null) {
                myself = new BasicDataHandler();
        }
        return myself;
    }

    private void registerDailyDataSet(DailyDataSet ds) {

        Calendar c = Calendar.getInstance();
        c.setTime(ds.getDay());
        Integer tmp = new Integer(c.get(Calendar.DAY_OF_MONTH));

        data.put(tmp, ds);

    }

    private void registerCalcValueMinDailyDataSet(DailyDataSet ds) {

        Calendar c = Calendar.getInstance();
        c.setTime(ds.getDay());
        Integer tmp = new Integer(c.get(Calendar.DAY_OF_WEEK));

        min_data.put(tmp, ds);

    }

    private void registerCalcValueAvgDailyDataSet(DailyDataSet ds) {

        Calendar c = Calendar.getInstance();
        c.setTime(ds.getDay());
        Integer tmp = new Integer(c.get(Calendar.DAY_OF_WEEK));

        avg_data.put(tmp, ds);

    }

    private void registerCalcValueMaxDailyDataSet(DailyDataSet ds) {

        Calendar c = Calendar.getInstance();
        c.setTime(ds.getDay());
        Integer tmp = new Integer(c.get(Calendar.DAY_OF_WEEK));

        max_data.put(tmp, ds);

    }


    public void registerDataObject(DataObject dob) {

        Calendar c = Calendar.getInstance();
        c.setTime(dob.getTimeAsDate());
        Integer key = c.get(Calendar.DAY_OF_MONTH);
        DailyDataSet ds = data.get(key);
        if(ds == null) {
            registerDailyDataSet(new DailyDataSet(dob.getTimeAsDate()));
            ds = data.get(key);
        }
        ds.addDataObject(dob);

        Integer keyCalcValues = c.get(Calendar.DAY_OF_WEEK);

        ds = min_data.get(keyCalcValues);

        DataObject t;

        if(ds == null) {
            registerCalcValueMinDailyDataSet(new DailyDataSet(dob.getTimeAsDate()));
            ds = min_data.get(keyCalcValues);
            ds.addDataObject(new DataObject(dob.getTimeAsDate(),dob.getKwh(),DataObject.TYPE_MIN));
        }else{
             t = ds.getDataObjectByWeekday(dob.getTimeAsDate());
            if(t==null) {
                t=new DataObject(dob.getTimeAsDate(),dob.getKwh(),DataObject.TYPE_MIN);
                ds.addDataObject(t);
            }
            if(t.getKwh()>dob.getKwh())
                t.setKwh(dob.getKwh());
        }

        ds = avg_data.get(keyCalcValues);

        if(ds == null) {
            registerCalcValueAvgDailyDataSet(new DailyDataSet(dob.getTimeAsDate()));
            ds = avg_data.get(keyCalcValues);
            ds.addDataObject(new DataObject(dob.getTimeAsDate(),dob.getKwh(),DataObject.TYPE_AVG));
        }else{
            t = ds.getDataObjectByWeekday(dob.getTimeAsDate());
            if(t==null) {
                t=new DataObject(dob.getTimeAsDate(),dob.getKwh(),DataObject.TYPE_AVG);
                ds.addDataObject(t);
            }
            if(t.getKwh()>dob.getKwh())
                t.setKwh(dob.getKwh());
        }

        ds = max_data.get(keyCalcValues);

        if(ds == null) {
            registerCalcValueMaxDailyDataSet(new DailyDataSet(dob.getTimeAsDate()));
            ds = max_data.get(keyCalcValues);
            ds.addDataObject(new DataObject(dob.getTimeAsDate(),dob.getKwh(),DataObject.TYPE_MAX));
        }else{
            t = ds.getDataObjectByWeekday(dob.getTimeAsDate());
            if(t==null) {
                t=new DataObject(dob.getTimeAsDate(),dob.getKwh(),DataObject.TYPE_MAX);
                ds.addDataObject(t);
            }
            if(t.getKwh()<dob.getKwh())
                t.setKwh(dob.getKwh());
        }

    }

    public List<DataObject> getThatBeanList() {

        List<DataObject> rl = new ArrayList<DataObject>();

        Iterator<Integer> iter = data.keySet().iterator();

        Calendar c = Calendar.getInstance();

        while (iter.hasNext()) {

            Integer keyToDo = iter.next();

            DailyDataSet dds = data.get(keyToDo);

            rl.addAll(dds.getData());

            c.setTime(dds.getDay());

            Integer dayKey = c.get(Calendar.DAY_OF_WEEK);

            DailyDataSet dsmin = min_data.get(dayKey);

            rl.addAll(dsmin.getData());

            DailyDataSet dsavg = avg_data.get(dayKey);

            rl.addAll(dsavg.getData());

            DailyDataSet dsmax = max_data.get(dayKey);

            rl.addAll(dsmax.getData());

        }

        return rl;
    }
}

DailyDataSet：

package sc2pdf.datasets;

import java.util.ArrayList;
import java.util.Calendar;
import java.util.Collection;
import java.util.Date;
import java.util.Iterator;

import sc2pdf.javabeans.DataObject;

public class DailyDataSet {

    private Date day;
    private Collection<DataObject> data;

    public DailyDataSet() {

        this(new Date());

    }

    public DailyDataSet(Date d) {

        this.day=d;
        this.data = new ArrayList<DataObject>();

    }

    public void addDataObject(Date d, double k) {

        this.data.add(new DataObject(d,k));

    }

    public void addDataObject(DataObject d) {

        this.data.add(d);

    }

    public Date getDay() {
        return day;
    }

    public Collection<DataObject> getData(){
        return data;
    }

    public DataObject getDataObject(Date toSearch) {

        Iterator<DataObject> iter = data.iterator();
        Calendar c = Calendar.getInstance();
        c.setTime(toSearch);
        while (iter.hasNext()) {

            DataObject dob = iter.next();
            Calendar c2 = Calendar.getInstance();
            c2.setTime(dob.getTimeAsDate());
            if(c.equals(c2)) {
                return dob;
            }
        }
        return null;

    }

    public DataObject getDataObjectByWeekday(Date toSearch) {

        Iterator<DataObject> iter = data.iterator();
        Calendar c = Calendar.getInstance();
        c.setTime(toSearch);
        while (iter.hasNext()) {

            DataObject dob = iter.next();
            Calendar c2 = Calendar.getInstance();
            c2.setTime(dob.getTimeAsDate());
            if(c.get(Calendar.DAY_OF_WEEK) == c2.get(Calendar.DAY_OF_WEEK)) {
                if(c.get(Calendar.HOUR_OF_DAY) == c2.get(Calendar.HOUR_OF_DAY)) {
                    if(c.get(Calendar.MINUTE) == c2.get(Calendar.MINUTE)) {
                        return dob;
                    }
                }
            }
        }
        return null;

    }
}

DataObject：

package sc2pdf.javabeans;

import java.util.Calendar;
import java.util.Date;

public class DataObject {

    private Date timeAsDate;
    private Integer day;
    private String timeAsString;
    private double kwh;
    private Integer type;

    public static final Integer TYPE_DATA = 1;
    public static final Integer TYPE_MIN = 2;
    public static final Integer TYPE_AVG = 3;
    public static final Integer TYPE_MAX = 4;

    /**
     * Constructor
     */
    public DataObject() {
        this(new Date(),0);
    }

    public DataObject(int day, int month, int year, int hour, int minute, double k) {

        this(day,month,year,hour,minute,k,TYPE_DATA);

    }
    public DataObject(int day, int month, int year, int hour, int minute, double k, Integer typ) {

        Calendar c = Calendar.getInstance();
        c.set(year,month,day,hour,minute);

        this.day=new Integer(c.get(Calendar.DAY_OF_MONTH));
        this.timeAsDate=c.getTime();
        this.kwh=k;
        this.type=typ;

        generateTimeAsString();
    }

    public DataObject(Date t, double p) {
        this(t,p,TYPE_DATA);
    }

    public DataObject(Date t, double p, Integer ty) {

        this.timeAsDate=t;
        this.kwh=p;
        this.type=ty;

        Calendar c = Calendar.getInstance();
        c.setTime(t);

        this.day=new Integer(c.get(Calendar.DAY_OF_MONTH));

        generateTimeAsString();

    }

    public void generateTimeAsString() {

        Calendar c = Calendar.getInstance();
        c.setTime(timeAsDate);
        timeAsString = c.get(Calendar.HOUR_OF_DAY) +
                        ":"+
                        c.get(Calendar.MINUTE);

    }

    public String getTime() {
        return timeAsString != null?timeAsString:"WRONG STRING";
    }

    public void setTime(String s) {
        this.timeAsString = s;
    }

    public Integer getDay() {
        return day;
    }

    public void setDay(Integer day) {
        this.day = day;
    }

    public double getKwh() {
        return kwh;
    }

    public void setKwh(double kwh) {
        this.kwh = kwh;
    }

    public Date getTimeAsDate() {
        return timeAsDate;
    }

    public Integer getType() {
        return type;
    }

    public void setType(Integer type) {
        this.type = type;
    }

    public String toString() {

        return (type.equals(DataObject.TYPE_DATA)?"DATA: ":(type.equals(DataObject.TYPE_MIN)?" MIN: ":(type.equals(DataObject.TYPE_AVG)?" AVG: ":" MAX: ")))+this.timeAsDate.toString()+": "+this.kwh;

    }

}

传递到报表的数据（格式：[type == 1？“ DATA：”：type == 2？“ MIN：”：type == 3？“ AVG：”：“ MAX：” ] + Date + kWh

DATA: Tue Jan 01 00:00:07 CET 2019: 2.501
DATA: Tue Jan 01 00:15:07 CET 2019: 2.679
DATA: Tue Jan 01 00:30:07 CET 2019: 2.93
DATA: Tue Jan 01 00:45:07 CET 2019: 2.363
DATA: Tue Jan 01 01:00:07 CET 2019: 2.589
DATA: Tue Jan 01 01:15:07 CET 2019: 2.423
DATA: Tue Jan 01 01:30:07 CET 2019: 2.531
DATA: Tue Jan 01 01:45:07 CET 2019: 2.976
DATA: Tue Jan 01 02:00:07 CET 2019: 2.369
DATA: Tue Jan 01 02:15:07 CET 2019: 2.636
DATA: Tue Jan 01 02:30:07 CET 2019: 2.391
DATA: Tue Jan 01 02:45:07 CET 2019: 2.667
DATA: Tue Jan 01 03:00:07 CET 2019: 2.88
DATA: Tue Jan 01 03:15:07 CET 2019: 2.378
DATA: Tue Jan 01 03:30:07 CET 2019: 2.723
DATA: Tue Jan 01 03:45:07 CET 2019: 2.511
DATA: Tue Jan 01 04:00:07 CET 2019: 2.789
DATA: Tue Jan 01 04:15:07 CET 2019: 2.867
DATA: Tue Jan 01 04:30:07 CET 2019: 3.101
DATA: Tue Jan 01 04:45:07 CET 2019: 3.321
DATA: Tue Jan 01 05:00:07 CET 2019: 2.438
DATA: Tue Jan 01 05:15:07 CET 2019: 2.616
DATA: Tue Jan 01 05:30:07 CET 2019: 3.146
DATA: Tue Jan 01 05:45:07 CET 2019: 5.882
DATA: Tue Jan 01 06:00:07 CET 2019: 4.814
DATA: Tue Jan 01 06:15:07 CET 2019: 4.593
DATA: Tue Jan 01 06:30:07 CET 2019: 5.078
DATA: Tue Jan 01 06:45:07 CET 2019: 5.69
DATA: Tue Jan 01 07:00:07 CET 2019: 9.734
DATA: Tue Jan 01 07:15:07 CET 2019: 12.63
DATA: Tue Jan 01 07:30:07 CET 2019: 14.304
DATA: Tue Jan 01 07:45:07 CET 2019: 14.52
DATA: Tue Jan 01 08:00:07 CET 2019: 14.988
DATA: Tue Jan 01 08:15:07 CET 2019: 14.984
DATA: Tue Jan 01 08:30:07 CET 2019: 14.748
DATA: Tue Jan 01 08:45:07 CET 2019: 13.859
DATA: Tue Jan 01 09:00:07 CET 2019: 12.038
DATA: Tue Jan 01 09:15:07 CET 2019: 15.084
DATA: Tue Jan 01 09:30:07 CET 2019: 14.787
DATA: Tue Jan 01 09:45:07 CET 2019: 15.069
DATA: Tue Jan 01 10:00:07 CET 2019: 15.764
DATA: Tue Jan 01 10:15:07 CET 2019: 16.71
DATA: Tue Jan 01 10:30:07 CET 2019: 15.549
DATA: Tue Jan 01 10:45:07 CET 2019: 14.21
DATA: Tue Jan 01 11:00:07 CET 2019: 14.073
DATA: Tue Jan 01 11:15:07 CET 2019: 12.233
DATA: Tue Jan 01 11:30:07 CET 2019: 13.17
DATA: Tue Jan 01 11:45:07 CET 2019: 11.973
DATA: Tue Jan 01 12:00:07 CET 2019: 11.982
DATA: Tue Jan 01 12:15:07 CET 2019: 10.907
DATA: Tue Jan 01 12:30:07 CET 2019: 8.087
DATA: Tue Jan 01 12:45:07 CET 2019: 4.575
DATA: Tue Jan 01 13:00:07 CET 2019: 2.96
DATA: Tue Jan 01 13:15:07 CET 2019: 1.884
DATA: Tue Jan 01 13:30:07 CET 2019: 0.995
DATA: Tue Jan 01 13:45:07 CET 2019: 2.691
DATA: Tue Jan 01 14:00:07 CET 2019: 1.826
DATA: Tue Jan 01 14:15:07 CET 2019: 2.487
DATA: Tue Jan 01 14:30:07 CET 2019: 2.984
DATA: Tue Jan 01 14:45:07 CET 2019: 2.808
DATA: Tue Jan 01 15:00:07 CET 2019: 3.539
DATA: Tue Jan 01 15:15:07 CET 2019: 2.49
DATA: Tue Jan 01 15:30:07 CET 2019: 3.473
DATA: Tue Jan 01 15:45:07 CET 2019: 6.41
DATA: Tue Jan 01 16:00:07 CET 2019: 6.977
DATA: Tue Jan 01 16:15:07 CET 2019: 6.854
DATA: Tue Jan 01 16:30:07 CET 2019: 12.807
DATA: Tue Jan 01 16:45:07 CET 2019: 10.83
DATA: Tue Jan 01 17:00:07 CET 2019: 8.435
DATA: Tue Jan 01 17:15:07 CET 2019: 8.633
DATA: Tue Jan 01 17:30:07 CET 2019: 4.887
DATA: Tue Jan 01 17:45:07 CET 2019: 3.594
DATA: Tue Jan 01 18:00:07 CET 2019: 3.36
DATA: Tue Jan 01 18:15:07 CET 2019: 4.145
DATA: Tue Jan 01 18:30:07 CET 2019: 9.11
DATA: Tue Jan 01 18:45:07 CET 2019: 8.714
DATA: Tue Jan 01 19:00:07 CET 2019: 7.982
DATA: Tue Jan 01 19:15:07 CET 2019: 6.545
DATA: Tue Jan 01 19:30:07 CET 2019: 6.764
DATA: Tue Jan 01 19:45:07 CET 2019: 7.394
DATA: Tue Jan 01 20:00:07 CET 2019: 9.887
DATA: Tue Jan 01 20:15:07 CET 2019: 7.292
DATA: Tue Jan 01 20:30:07 CET 2019: 5.972
DATA: Tue Jan 01 20:45:07 CET 2019: 6.924
DATA: Tue Jan 01 21:00:07 CET 2019: 6.426
DATA: Tue Jan 01 21:15:07 CET 2019: 5.675
DATA: Tue Jan 01 21:30:07 CET 2019: 5.973
DATA: Tue Jan 01 21:45:07 CET 2019: 5.936
DATA: Tue Jan 01 22:00:07 CET 2019: 6.06
DATA: Tue Jan 01 22:15:07 CET 2019: 5.646
DATA: Tue Jan 01 22:30:07 CET 2019: 4.484
DATA: Tue Jan 01 22:45:07 CET 2019: 2.481
DATA: Tue Jan 01 23:00:07 CET 2019: 2.49
DATA: Tue Jan 01 23:15:07 CET 2019: 2.423
DATA: Tue Jan 01 23:30:07 CET 2019: 2.49
DATA: Tue Jan 01 23:45:07 CET 2019: 2.955
 MIN: Tue Jan 01 00:00:07 CET 2019: 2.154
 MIN: Tue Jan 01 00:15:07 CET 2019: 2.093
 MIN: Tue Jan 01 00:30:07 CET 2019: 2.052
 MIN: Tue Jan 01 00:45:07 CET 2019: 2.126
 MIN: Tue Jan 01 01:00:07 CET 2019: 2.139
 MIN: Tue Jan 01 01:15:07 CET 2019: 2.171
 MIN: Tue Jan 01 01:30:07 CET 2019: 2.162
 MIN: Tue Jan 01 01:45:07 CET 2019: 2.178
 MIN: Tue Jan 01 02:00:07 CET 2019: 2.049
 MIN: Tue Jan 01 02:15:07 CET 2019: 2.033
 MIN: Tue Jan 01 02:30:07 CET 2019: 2.034
 MIN: Tue Jan 01 02:45:07 CET 2019: 2.129
 MIN: Tue Jan 01 03:00:07 CET 2019: 2.159
 MIN: Tue Jan 01 03:15:07 CET 2019: 2.165
 MIN: Tue Jan 01 03:30:07 CET 2019: 2.001
 MIN: Tue Jan 01 03:45:07 CET 2019: 2.006
 MIN: Tue Jan 01 04:00:07 CET 2019: 2.313
 MIN: Tue Jan 01 04:15:07 CET 2019: 1.992
 MIN: Tue Jan 01 04:30:07 CET 2019: 2.082
 MIN: Tue Jan 01 04:45:07 CET 2019: 1.982
 MIN: Tue Jan 01 05:00:07 CET 2019: 2.217
 MIN: Tue Jan 01 05:15:07 CET 2019: 2.088
 MIN: Tue Jan 01 05:30:07 CET 2019: 2.09
 MIN: Tue Jan 01 05:45:07 CET 2019: 1.923
 MIN: Tue Jan 01 06:00:07 CET 2019: 1.928
 MIN: Tue Jan 01 06:15:07 CET 2019: 2.337
 MIN: Tue Jan 01 06:30:07 CET 2019: 2.333
 MIN: Tue Jan 01 06:45:07 CET 2019: 2.397
 MIN: Tue Jan 01 07:00:07 CET 2019: 2.135
 MIN: Tue Jan 01 07:15:07 CET 2019: 2.45
 MIN: Tue Jan 01 07:30:07 CET 2019: 2.288
 MIN: Tue Jan 01 07:45:07 CET 2019: 2.405
 MIN: Tue Jan 01 08:00:07 CET 2019: 2.093
 MIN: Tue Jan 01 08:15:07 CET 2019: 2.403
 MIN: Tue Jan 01 08:30:07 CET 2019: 3.309
 MIN: Tue Jan 01 08:45:07 CET 2019: 2.904

和我的输出中的屏幕截图：

my pdf looks like this atm...

虚拟cvs（以'|'分隔）值集：

day|type|time|kwh
1|1|00:15|0.9
1|1|00:30|1.2
1|2|00:15|0.8
1|2|00:30|1
1|3|00:15|0.8
1|3|00:30|1.1
1|4|00:15|1
1|4|00:30|1.5
2|1|00:15|0.7
2|1|00:30|1
2|2|00:15|0.6
2|2|00:30|0.9
2|3|00:15|0.7
2|3|00:30|1
2|4|00:15|0.8
2|4|00:30|1.1

预期结果（红线是类型'1'的数据，绿色是'2'的数据，蓝色是'3'的数据，黄色是'4'的数据；应该有尽可能多的图表不同的日子（可以通过分组解决，但已经有效）：

expected chart

为什么在LineChart中仅显示一个数据？

JasperReport：

Servlet：

BasicDataHandler：

DailyDataSet：

DataObject：

传递到报表的数据（格式：[type == 1？“ DATA：”：type == 2？“ MIN：”：type == 3？“ AVG：”：“ MAX：” ] + Date + kWh

和我的输出中的屏幕截图：

虚拟cvs（以'|'分隔）值集：

预期结果（红线是类型'1'的数据，绿色是'2'的数据，蓝色是'3'的数据，黄色是'4'的数据；应该有尽可能多的图表不同的日子（可以通过分组解决，但已经有效）：

0 个答案: