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// Android Chart Examples

SciChart Android ships with ~90 Android Chart Examples which you can browse, play with, view the source-code and even export each SciChart Android Chart Example to a stand-alone Android Studio project. All of this is possible with the new and improved SciChart Android Examples Suite, which ships as part of our Android Charts SDK.

// Android Fan Chart

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.

Android Fan Chart

// Source Code

The full source code for the Android Fan Chart example is included below (Scroll down!).

Did you know you can also view the source code from one of the following sources as well?

  1. Clone the SciChart.Android.Examples from Github.
  2. Or, view source and export each example to an Android Studio project from the Java version of the SciChart Android Examples app.
  3. Also the SciChart Android Trial contains the full source for the examples (link below).

DOWNLOAD THE ANDROID CHART EXAMPLES

Android Fan Chart - View Source Code for this example

The SciChart Examples source code is available on Github and viewable in-app for some platforms

// Kotlin: FanChartFragment.kt

View on Github 
//******************************************************************************
// SCICHART® Copyright SciChart Ltd. 2011-2021. All rights reserved.
//
// Web: http://www.scichart.com
// Support: support@scichart.com
// Sales:   sales@scichart.com
//
// FanChartFragment.kt is part of SCICHART®, High Performance Scientific Charts
// For full terms and conditions of the license, see http://www.scichart.com/scichart-eula/
//
// This source code is protected by international copyright law. Unauthorized
// reproduction, reverse-engineering, or distribution of all or any portion of
// this source code is strictly prohibited.
//
// This source code contains confidential and proprietary trade secrets of
// SciChart Ltd., and should at no time be copied, transferred, sold,
// distributed or made available without express written permission.
//******************************************************************************

package com.scichart.examples.fragments.examples2d.multiChart.kt

import android.view.animation.DecelerateInterpolator
import com.scichart.charting.visuals.SciChartSurface
import com.scichart.core.utility.IterableUtil
import com.scichart.data.model.DoubleRange
import com.scichart.drawing.utility.ColorUtil.Red
import com.scichart.drawing.utility.ColorUtil.Transparent
import com.scichart.examples.data.RandomWalkGenerator
import com.scichart.examples.fragments.base.ExampleSingleChartBaseFragment
import com.scichart.examples.utils.scichartExtensions.*
import java.util.*

class FanChartFragment: ExampleSingleChartBaseFragment() {
    override fun initExample(surface: SciChartSurface) {
        val actualDataSeries = XyDataSeries<Date, Double>()
        val var3DataSeries = XyyDataSeries<Date, Double>()
        val var2DataSeries = XyyDataSeries<Date, Double>()
        val var1DataSeries = XyyDataSeries<Date, Double>()

        val varianceData = getVarianceData()
        for (i in varianceData.indices) {
            val dataPoint = varianceData[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)
        }

        surface.suspendUpdates {
            xAxes { dateAxis { growBy = DoubleRange(0.1, 0.1) } }
            yAxes { numericAxis { growBy = DoubleRange(0.1, 0.1) } }

            renderableSeries {
                fastBandRenderableSeries {
                    dataSeries = var3DataSeries
                    strokeY1Style = SolidPenStyle(Transparent)
                    strokeStyle = SolidPenStyle(Transparent)

                    waveAnimation { interpolator = DecelerateInterpolator() }
                }
                fastBandRenderableSeries {
                    dataSeries = var2DataSeries
                    strokeY1Style = SolidPenStyle(Transparent)
                    strokeStyle = SolidPenStyle(Transparent)

                    waveAnimation { interpolator = DecelerateInterpolator() }
                }
                fastBandRenderableSeries {
                    dataSeries = var1DataSeries
                    strokeY1Style = SolidPenStyle(Transparent)
                    strokeStyle = SolidPenStyle(Transparent)

                    waveAnimation { interpolator = DecelerateInterpolator() }
                }
                fastLineRenderableSeries {
                    dataSeries = actualDataSeries
                    strokeStyle = SolidPenStyle(0xFFe97064)

                    waveAnimation { interpolator = DecelerateInterpolator() }
                }
            }

            chartModifiers { defaultModifiers() }
        }
    }

    // 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 fun getVarianceData(): List<VarPoint> {
        val count = 10
        val dates = IterableUtil.toArray(IterableUtil.range(0, count) { arg ->
            val instance = Calendar.getInstance()
            instance.clear()
            instance[2011, 1] = 1
            instance.add(Calendar.MONTH, arg!!)
            instance.time
        }, Date::class.java)

        val yValues = RandomWalkGenerator().getRandomWalkSeries(count).yValues.itemsArray

        val result: MutableList<VarPoint> = ArrayList()
        for (i in 0 until count) {
            var varMax = Double.NaN
            var var4 = Double.NaN
            var var3 = Double.NaN
            var var2 = Double.NaN
            var var1 = Double.NaN
            var 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(VarPoint(dates[i], yValues[i], var4, var3, var2, var1, varMin, varMax))
        }
        return result
    }

    private class VarPoint(
        val date: Date,
        val actual: Double,
        val var4: Double,
        val var3: Double,
        val var2: Double,
        val var1: Double,
        val varMin: Double,
        val varMax: Double
    )
}

// Java: FanChartFragment.java

View on Github 
//******************************************************************************
// SCICHART® Copyright SciChart Ltd. 2011-2021. All rights reserved.
//
// Web: http://www.scichart.com
// Support: support@scichart.com
// Sales:   sales@scichart.com
//
// FanChartFragment.java is part of SCICHART®, High Performance Scientific Charts
// For full terms and conditions of the license, see http://www.scichart.com/scichart-eula/
//
// This source code is protected by international copyright law. Unauthorized
// reproduction, reverse-engineering, or distribution of all or any portion of
// this source code is strictly prohibited.
//
// This source code contains confidential and proprietary trade secrets of
// SciChart Ltd., and should at no time be copied, transferred, sold,
// distributed or made available without express written permission.
//******************************************************************************

package com.scichart.examples.fragments.examples2d.multiChart;

import android.view.animation.DecelerateInterpolator;

import androidx.annotation.NonNull;

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.IAxis;
import com.scichart.charting.visuals.renderableSeries.FastBandRenderableSeries;
import com.scichart.charting.visuals.renderableSeries.FastLineRenderableSeries;
import com.scichart.core.framework.UpdateSuspender;
import com.scichart.core.utility.IterableUtil;
import com.scichart.drawing.utility.ColorUtil;
import com.scichart.examples.data.RandomWalkGenerator;
import com.scichart.examples.fragments.base.ExampleSingleChartBaseFragment;

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

public class FanChartFragment extends ExampleSingleChartBaseFragment {

    @Override
    protected void initExample(@NonNull SciChartSurface surface) {
        final IAxis xAxis = sciChartBuilder.newDateAxis().withGrowBy(0.1, 0.1).build();
        final IAxis yAxis = sciChartBuilder.newNumericAxis().withGrowBy(0.1, 0.1).build();

        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 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(0xFFe97064, 1f).build();

        UpdateSuspender.using(surface, () -> {
            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());

            sciChartBuilder.newAnimator(lineSeries).withWaveTransformation().withInterpolator(new DecelerateInterpolator()).withDuration(3000).withStartDelay(350).start();
            sciChartBuilder.newAnimator(projectedVar).withWaveTransformation().withInterpolator(new DecelerateInterpolator()).withDuration(3000).withStartDelay(350).start();
            sciChartBuilder.newAnimator(projectedVar2).withWaveTransformation().withInterpolator(new DecelerateInterpolator()).withDuration(3000).withStartDelay(350).start();
            sciChartBuilder.newAnimator(projectedVar3).withWaveTransformation().withInterpolator(new DecelerateInterpolator()).withDuration(3000).withStartDelay(350).start();
        });
    }

    // 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, 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;
        }
    }
}

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