Demonstrates how to use multiple FastBandRenderableSeries to simulate a Fan Chart. The FastBandRenderableSeries requires an XyyDataSeries, which has X,Y0,Y1 points, to display a solid band between high and low Y-value.

Tip!

In this example, we overlay several Band-Series with varying opacity to simulate a Fan-chart.

// example_single_chart_fragment.xml

<?xml version="1.0" encoding="utf-8"?><!--*************************************************************************-->
<!-- SCICHART® Copyright SciChart Ltd. 2011-2016. All rights reserved. -->
<!--   -->
<!-- Web: http://www.scichart.com -->
<!-- Support: support@scichart.com -->
<!-- Sales:   sales@scichart.com -->
<!--  -->
<!-- example_single_chart_fragment.xml is part of the SCICHART® Examples. Permission is hereby granted -->
<!-- to modify, create derivative works, distribute and publish any part of this source -->
<!-- code whether for commercial, private or personal use. -->
<!--  -->
<!-- The SCICHART® examples are distributed in the hope that they will be useful, but -->
<!-- without any warranty. It is provided "AS IS" without warranty of any kind, either -->
<!-- expressed or implied. -->
<!--*************************************************************************-->

<LinearLayout xmlns:android="http://schemas.android.com/apk/res/android"
    android:layout_width="match_parent"
    android:layout_height="match_parent"
    android:orientation="vertical">

    <com.scichart.charting.visuals.SciChartSurface
        android:id="@+id/chart"
        android:layout_width="fill_parent"
        android:layout_height="fill_parent" />

</LinearLayout>

// FanChartFragment.java

//******************************************************************************
// SCICHART® Copyright SciChart Ltd. 2011-2017. All rights reserved.
//
// Web: http://www.scichart.com
// Support: support@scichart.com
// Sales:   sales@scichart.com
//
// FanChartFragment.java is part of the SCICHART® Examples. Permission is hereby granted
// to modify, create derivative works, distribute and publish any part of this source
// code whether for commercial, private or personal use.
//
// The SCICHART® examples are distributed in the hope that they will be useful, but
// without any warranty. It is provided "AS IS" without warranty of any kind, either
// expressed or implied.
//******************************************************************************

package com.scichart.examples.fragments;

import com.scichart.charting.model.dataSeries.XyDataSeries;
import com.scichart.charting.model.dataSeries.XyyDataSeries;
import com.scichart.charting.visuals.SciChartSurface;
import com.scichart.charting.visuals.axes.DateAxis;
import com.scichart.charting.visuals.axes.NumericAxis;
import com.scichart.charting.visuals.renderableSeries.FastBandRenderableSeries;
import com.scichart.charting.visuals.renderableSeries.FastLineRenderableSeries;
import com.scichart.core.common.Func1;
import com.scichart.core.framework.UpdateSuspender;
import com.scichart.core.utility.IterableUtil;
import com.scichart.drawing.utility.ColorUtil;
import com.scichart.examples.R;
import com.scichart.examples.data.RandomWalkGenerator;
import com.scichart.examples.fragments.base.ExampleBaseFragment;

import java.util.ArrayList;
import java.util.Calendar;
import java.util.Collections;
import java.util.Date;
import java.util.List;

import butterknife.Bind;

public class FanChartFragment extends ExampleBaseFragment {

    @Bind(R.id.chart)
    SciChartSurface surface;

    @Override
    protected int getLayoutId() {
        return R.layout.example_single_chart_fragment;
    }

    @Override
    protected void initExample() {
        final XyDataSeries<Date, Double> actualDataSeries = sciChartBuilder.newXyDataSeries(Date.class, Double.class).build();
        final XyyDataSeries<Date, Double> var3DataSeries = sciChartBuilder.newXyyDataSeries(Date.class, Double.class).build();
        final XyyDataSeries<Date, Double> var2DataSeries = sciChartBuilder.newXyyDataSeries(Date.class, Double.class).build();
        final XyyDataSeries<Date, Double> var1DataSeries = sciChartBuilder.newXyyDataSeries(Date.class, Double.class).build();

        final List<VarPoint> varianceData = getVarianceData();
        for (int i = 0; i < varianceData.size(); i++) {
            final VarPoint dataPoint = varianceData.get(i);

            actualDataSeries.append(dataPoint.date, dataPoint.actual);
            var3DataSeries.append(dataPoint.date, dataPoint.varMin, dataPoint.varMax);
            var2DataSeries.append(dataPoint.date, dataPoint.var1, dataPoint.var4);
            var1DataSeries.append(dataPoint.date, dataPoint.var2, dataPoint.var3);
        }

        final DateAxis xAxis = sciChartBuilder.newDateAxis().withGrowBy(0.1, 0.1).build();
        final NumericAxis yAxis = sciChartBuilder.newNumericAxis().withGrowBy(0.1, 0.1).build();

        final FastBandRenderableSeries projectedVar3 = sciChartBuilder.newBandSeries().withDataSeries(var3DataSeries).withStrokeY1Style(ColorUtil.Transparent).withStrokeStyle(ColorUtil.Transparent).build();
        final FastBandRenderableSeries projectedVar2 = sciChartBuilder.newBandSeries().withDataSeries(var2DataSeries).withStrokeY1Style(ColorUtil.Transparent).withStrokeStyle(ColorUtil.Transparent).build();
        final FastBandRenderableSeries projectedVar = sciChartBuilder.newBandSeries().withDataSeries(var1DataSeries).withStrokeY1Style(ColorUtil.Transparent).withStrokeStyle(ColorUtil.Transparent).build();
        final FastLineRenderableSeries lineSeries = sciChartBuilder.newLineSeries().withDataSeries(actualDataSeries).withStrokeStyle(ColorUtil.Red, 1f).build();

        UpdateSuspender.using(surface, new Runnable() {
            @Override
            public void run() {
                Collections.addAll(surface.getXAxes(), xAxis);
                Collections.addAll(surface.getYAxes(), yAxis);
                Collections.addAll(surface.getRenderableSeries(), projectedVar3, projectedVar2, projectedVar, lineSeries);
                Collections.addAll(surface.getChartModifiers(), sciChartBuilder.newModifierGroupWithDefaultModifiers().build());
            }
        });
    }

    // Create a table of Variance data. Each row in the table consists of
    //
    //  DateTime, Actual (Y-Value), Projected Min, Variance 1, 2, 3, 4 and Projected Maximum
    //
    //        DateTime    Actual 	Min     Var1	Var2	Var3	Var4	Max
    //        Jan-11	  y0	    -	    -	    -	    -	    -	    -
    //        Feb-11	  y1	    -	    -	    -	    -	    -	    -
    //        Mar-11	  y2	    -	    -	    -	    -	    -	    -
    //        Apr-11	  y3	    -	    -	    -	    -	    -	    -
    //        May-11	  y4	    -	    -	    -	    -	    -	    -
    //        Jun-11	  y5        min0  var1_0  var2_0  var3_0  var4_0  max_0
    //        Jul-11	  y6        min1  var1_1  var2_1  var3_1  var4_1  max_1
    //        Aug-11	  y7        min2  var1_2  var2_2  var3_2  var4_2  max_2
    //        Dec-11	  y8        min3  var1_3  var2_3  var3_3  var4_3  max_3
    //        Jan-12      y9        min4  var1_4  var2_4  var3_4  var4_4  max_4

    private static List<VarPoint> getVarianceData() {
        final int count = 10;

        final Date[] dates = IterableUtil.toArray(IterableUtil.range(0, count, new Func1<Integer, Date>() {
            @Override
            public Date func(Integer arg) {
                final Calendar instance = Calendar.getInstance();

                instance.clear();
                instance.set(2011, 1, 1);
                instance.add(Calendar.MONTH, arg);

                return instance.getTime();
            }
        }), Date.class);

        final double[] yValues = new RandomWalkGenerator().getRandomWalkSeries(count).yValues.getItemsArray();

        final List<VarPoint> result = new ArrayList<>();

        for (int i = 0; i < count; i++) {
            double varMax = Double.NaN;
            double var4 = Double.NaN;
            double var3 = Double.NaN;
            double var2 = Double.NaN;
            double var1 = Double.NaN;
            double varMin = Double.NaN;

            if (i > 4) {
                varMax = yValues[i] + (i - 5) * 0.3;
                var4 = yValues[i] + (i - 5) * 0.2;
                var3 = yValues[i] + (i - 5) * 0.1;
                var2 = yValues[i] - (i - 5) * 0.1;
                var1 = yValues[i] - (i - 5) * 0.2;
                varMin = yValues[i] - (i - 5) * 0.3;
            }

            result.add(new VarPoint(dates[i], yValues[i], var4, var3, var2, var1, varMin, varMax));
        }

        return result;
    }

    private static class VarPoint {
        public final Date date;
        public final double actual;
        public final double varMax;
        public final double var4;
        public final double var3;
        public final double var2;
        public final double var1;
        public final double varMin;

        public VarPoint(Date date, double actual, double var4, double var3, double var2, double var1, double varMin, double varMax) {
            this.date = date;
            this.actual = actual;
            this.var4 = var4;
            this.var3 = var3;
            this.var2 = var2;
            this.var1 = var1;
            this.varMin = varMin;
            this.varMax = varMax;
        }
    }
}

< BACK TO ALL ANDROID CHART CHART EXAMPLES