com.aspose.words
Class ChartSeriesCollection

java.lang.Object
    extended by com.aspose.words.ChartSeriesCollection
All Implemented Interfaces:
java.lang.Iterable

public class ChartSeriesCollection 
extends java.lang.Object

Represents collection of a ChartSeries.

Example:

Shows how to work with a chart's data collection.
Document doc = new Document();
DocumentBuilder builder = new DocumentBuilder(doc);

// Use a document builder to insert a bar chart
Shape chartShape = builder.insertChart(ChartType.COLUMN, 400.0, 300.0);
Chart chart = chartShape.getChart();

// All charts come with demo data
// This column chart currently has 3 series with 4 categories, which means 4 clusters, 3 columns in each
ChartSeriesCollection chartData = chart.getSeries();
Assert.assertEquals(chartData.getCount(), 3);

// Iterate through the series with an enumerator and print their names
Iterator<ChartSeries> enumerator = chart.getSeries().iterator();

// And use it to go over all the data labels in one series and change their separator
while (enumerator.hasNext()) {
    System.out.println(enumerator.next().getName());
}


// We can add new data by adding a new series to the collection, with categories and data
// We will match the existing category/series names in the demo data and add a 4th column to each column cluster
String[] categories = {"Category 1", "Category 2", "Category 3", "Category 4"};
chart.getSeries().add("Series 4", categories, new double[]{4.4, 7.0, 3.5, 2.1});

Assert.assertEquals(chartData.getCount(), 4);
Assert.assertEquals(chartData.get(3).getName(), "Series 4");

// We can remove series by index
chartData.removeAt(2);

Assert.assertEquals(chartData.getCount(), 3);
Assert.assertEquals(chartData.get(2).getName(), "Series 4");

// We can also remove out all the series
// This leaves us with an empty graph and is a convenient way of wiping out demo data
chartData.clear();

Assert.assertEquals(0, chartData.getCount());

Property Getters/Setters Summary
intgetCount()
           Returns the number of ChartSeries in this collection.
ChartSeriesget(int index)
           Returns a ChartSeries at the specified index.
 
Method Summary
ChartSeriesadd(java.lang.String seriesName, double[] xValues, double[] yValues)
           Adds new ChartSeries to this collection. Use this method to add series to any type of Scatter charts.
ChartSeriesadd(java.lang.String seriesName, double[] xValues, double[] yValues, double[] bubbleSizes)
           Adds new ChartSeries to this collection. Use this method to add series to any type of Bubble charts.
ChartSeriesadd(java.lang.String seriesName, java.lang.String[] categories, double[] values)
           Adds new ChartSeries to this collection. Use this method to add series to any type of Bar, Column, Line and Surface charts.
ChartSeriesadd(java.lang.String seriesName, java.util.Date[] dates, double[] values)
           Adds new ChartSeries to this collection. Use this method to add series to any type of Area, Radar and Stock charts.
voidclear()
           Removes all ChartSeries from this collection.
java.util.Iterator<ChartSeries>iterator()
           Returns an enumerator object.
voidremoveAt(int index)
           Removes a ChartSeries at the specified index.
 

Property Getters/Setters Detail

getCount

public int getCount()
Returns the number of ChartSeries in this collection.

Example:

Shows how to work with a chart's data collection.
Document doc = new Document();
DocumentBuilder builder = new DocumentBuilder(doc);

// Use a document builder to insert a bar chart
Shape chartShape = builder.insertChart(ChartType.COLUMN, 400.0, 300.0);
Chart chart = chartShape.getChart();

// All charts come with demo data
// This column chart currently has 3 series with 4 categories, which means 4 clusters, 3 columns in each
ChartSeriesCollection chartData = chart.getSeries();
Assert.assertEquals(chartData.getCount(), 3);

// Iterate through the series with an enumerator and print their names
Iterator<ChartSeries> enumerator = chart.getSeries().iterator();

// And use it to go over all the data labels in one series and change their separator
while (enumerator.hasNext()) {
    System.out.println(enumerator.next().getName());
}


// We can add new data by adding a new series to the collection, with categories and data
// We will match the existing category/series names in the demo data and add a 4th column to each column cluster
String[] categories = {"Category 1", "Category 2", "Category 3", "Category 4"};
chart.getSeries().add("Series 4", categories, new double[]{4.4, 7.0, 3.5, 2.1});

Assert.assertEquals(chartData.getCount(), 4);
Assert.assertEquals(chartData.get(3).getName(), "Series 4");

// We can remove series by index
chartData.removeAt(2);

Assert.assertEquals(chartData.getCount(), 3);
Assert.assertEquals(chartData.get(2).getName(), "Series 4");

// We can also remove out all the series
// This leaves us with an empty graph and is a convenient way of wiping out demo data
chartData.clear();

Assert.assertEquals(0, chartData.getCount());

get

public ChartSeries get(int index)
Returns a ChartSeries at the specified index.

The index is zero-based.

Negative indexes are allowed and indicate access from the back of the collection. For example -1 means the last item, -2 means the second before last and so on.

If index is greater than or equal to the number of items in the list, this returns a null reference.

If index is negative and its absolute value is greater than the number of items in the list, this returns a null reference.

Parameters:
index - An index into the collection.

Example:

Shows how to work with a chart's data collection.
Document doc = new Document();
DocumentBuilder builder = new DocumentBuilder(doc);

// Use a document builder to insert a bar chart
Shape chartShape = builder.insertChart(ChartType.COLUMN, 400.0, 300.0);
Chart chart = chartShape.getChart();

// All charts come with demo data
// This column chart currently has 3 series with 4 categories, which means 4 clusters, 3 columns in each
ChartSeriesCollection chartData = chart.getSeries();
Assert.assertEquals(chartData.getCount(), 3);

// Iterate through the series with an enumerator and print their names
Iterator<ChartSeries> enumerator = chart.getSeries().iterator();

// And use it to go over all the data labels in one series and change their separator
while (enumerator.hasNext()) {
    System.out.println(enumerator.next().getName());
}


// We can add new data by adding a new series to the collection, with categories and data
// We will match the existing category/series names in the demo data and add a 4th column to each column cluster
String[] categories = {"Category 1", "Category 2", "Category 3", "Category 4"};
chart.getSeries().add("Series 4", categories, new double[]{4.4, 7.0, 3.5, 2.1});

Assert.assertEquals(chartData.getCount(), 4);
Assert.assertEquals(chartData.get(3).getName(), "Series 4");

// We can remove series by index
chartData.removeAt(2);

Assert.assertEquals(chartData.getCount(), 3);
Assert.assertEquals(chartData.get(2).getName(), "Series 4");

// We can also remove out all the series
// This leaves us with an empty graph and is a convenient way of wiping out demo data
chartData.clear();

Assert.assertEquals(0, chartData.getCount());

Method Detail

add

public ChartSeries add(java.lang.String seriesName, double[] xValues, double[] yValues)
Adds new ChartSeries to this collection. Use this method to add series to any type of Scatter charts.
Returns:
Recently added ChartSeries object.

Example:

Shows an appropriate graph type for each chart series.
public void chartSeriesCollection() throws Exception {
    Document doc = new Document();
    DocumentBuilder builder = new DocumentBuilder(doc);

    // There are 4 ways of populating a chart's series collection
    // 1: Each series has a string array of categories, each with a corresponding data value
    // Some of the other possible applications are bar, column, line and surface charts
    Chart chart = appendChart(builder, ChartType.COLUMN, 300.0, 300.0);

    // Create and name 3 categories with a string array
    String[] categories = {"Category 1", "Category 2", "Category 3"};

    // Create 2 series of data, each with one point for every category
    // This will generate a column graph with 3 clusters of 2 bars
    chart.getSeries().add("Series 1", categories, new double[]{76.6, 82.1, 91.6});
    chart.getSeries().add("Series 2", categories, new double[]{64.2, 79.5, 94.0});

    // Categories are distributed along the X-axis while values are distributed along the Y-axis
    Assert.assertEquals(chart.getAxisX().getType(), ChartAxisType.CATEGORY);
    Assert.assertEquals(chart.getAxisY().getType(), ChartAxisType.VALUE);

    // 2: Each series will have a collection of dates with a corresponding value for each date
    // Area, radar and stock charts are some of the appropriate chart types for this
    chart = appendChart(builder, ChartType.AREA, 300.0, 300.0);

    // Create a collection of dates to serve as categories
    Date[] dates = {DocumentHelper.createDate(2014, 3, 31),
            DocumentHelper.createDate(2017, 1, 23),
            DocumentHelper.createDate(2017, 6, 18),
            DocumentHelper.createDate(2019, 11, 22),
            DocumentHelper.createDate(2020, 9, 7)
    };

    // Add one series with one point for each date
    // Our sporadic dates will be distributed along the X-axis in a linear fashion 
    chart.getSeries().add("Series 1", dates, new double[]{15.8, 21.5, 22.9, 28.7, 33.1});

    // 3: Each series will take two data arrays
    // Appropriate for scatter plots
    chart = appendChart(builder, ChartType.SCATTER, 300.0, 300.0);

    // In each series, the first array contains the X-coordinates and the second contains respective Y-coordinates of points
    chart.getSeries().add("Series 1", new double[]{3.1, 3.5, 6.3, 4.1, 2.2, 8.3, 1.2, 3.6}, new double[]{3.1, 6.3, 4.6, 0.9, 8.5, 4.2, 2.3, 9.9});
    chart.getSeries().add("Series 2", new double[]{2.6, 7.3, 4.5, 6.6, 2.1, 9.3, 0.7, 3.3}, new double[]{7.1, 6.6, 3.5, 7.8, 7.7, 9.5, 1.3, 4.6});

    // Both axes are value axes in this case
    Assert.assertEquals(chart.getAxisX().getType(), ChartAxisType.VALUE);
    Assert.assertEquals(chart.getAxisY().getType(), ChartAxisType.VALUE);

    // 4: Each series will be built from three data arrays, used for bubble charts
    chart = appendChart(builder, ChartType.BUBBLE, 300.0, 300.0);

    // The first two arrays contain X/Y coordinates like above and the third determines the thickness of each point
    chart.getSeries().add("Series 1", new double[]{1.1, 5.0, 9.8}, new double[]{1.2, 4.9, 9.9}, new double[]{2.0, 4.0, 8.0});

    doc.save(getArtifactsDir() + "Charts.ChartSeriesCollection.docx");
}

/// <summary>
/// Get the DocumentBuilder to insert a chart of a specified ChartType, width and height and clean out its default data
/// </summary>
private Chart appendChart(DocumentBuilder builder, /*ChartType*/int chartType, double width, double height) throws Exception {
    Shape chartShape = builder.insertChart(chartType, width, height);
    Chart chart = chartShape.getChart();
    chart.getSeries().clear();

    Assert.assertEquals(chart.getSeries().getCount(), 0);

    return chart;
}

add

public ChartSeries add(java.lang.String seriesName, double[] xValues, double[] yValues, double[] bubbleSizes)
Adds new ChartSeries to this collection. Use this method to add series to any type of Bubble charts.
Returns:
Recently added ChartSeries object.

Example:

Shows an appropriate graph type for each chart series.
public void chartSeriesCollection() throws Exception {
    Document doc = new Document();
    DocumentBuilder builder = new DocumentBuilder(doc);

    // There are 4 ways of populating a chart's series collection
    // 1: Each series has a string array of categories, each with a corresponding data value
    // Some of the other possible applications are bar, column, line and surface charts
    Chart chart = appendChart(builder, ChartType.COLUMN, 300.0, 300.0);

    // Create and name 3 categories with a string array
    String[] categories = {"Category 1", "Category 2", "Category 3"};

    // Create 2 series of data, each with one point for every category
    // This will generate a column graph with 3 clusters of 2 bars
    chart.getSeries().add("Series 1", categories, new double[]{76.6, 82.1, 91.6});
    chart.getSeries().add("Series 2", categories, new double[]{64.2, 79.5, 94.0});

    // Categories are distributed along the X-axis while values are distributed along the Y-axis
    Assert.assertEquals(chart.getAxisX().getType(), ChartAxisType.CATEGORY);
    Assert.assertEquals(chart.getAxisY().getType(), ChartAxisType.VALUE);

    // 2: Each series will have a collection of dates with a corresponding value for each date
    // Area, radar and stock charts are some of the appropriate chart types for this
    chart = appendChart(builder, ChartType.AREA, 300.0, 300.0);

    // Create a collection of dates to serve as categories
    Date[] dates = {DocumentHelper.createDate(2014, 3, 31),
            DocumentHelper.createDate(2017, 1, 23),
            DocumentHelper.createDate(2017, 6, 18),
            DocumentHelper.createDate(2019, 11, 22),
            DocumentHelper.createDate(2020, 9, 7)
    };

    // Add one series with one point for each date
    // Our sporadic dates will be distributed along the X-axis in a linear fashion 
    chart.getSeries().add("Series 1", dates, new double[]{15.8, 21.5, 22.9, 28.7, 33.1});

    // 3: Each series will take two data arrays
    // Appropriate for scatter plots
    chart = appendChart(builder, ChartType.SCATTER, 300.0, 300.0);

    // In each series, the first array contains the X-coordinates and the second contains respective Y-coordinates of points
    chart.getSeries().add("Series 1", new double[]{3.1, 3.5, 6.3, 4.1, 2.2, 8.3, 1.2, 3.6}, new double[]{3.1, 6.3, 4.6, 0.9, 8.5, 4.2, 2.3, 9.9});
    chart.getSeries().add("Series 2", new double[]{2.6, 7.3, 4.5, 6.6, 2.1, 9.3, 0.7, 3.3}, new double[]{7.1, 6.6, 3.5, 7.8, 7.7, 9.5, 1.3, 4.6});

    // Both axes are value axes in this case
    Assert.assertEquals(chart.getAxisX().getType(), ChartAxisType.VALUE);
    Assert.assertEquals(chart.getAxisY().getType(), ChartAxisType.VALUE);

    // 4: Each series will be built from three data arrays, used for bubble charts
    chart = appendChart(builder, ChartType.BUBBLE, 300.0, 300.0);

    // The first two arrays contain X/Y coordinates like above and the third determines the thickness of each point
    chart.getSeries().add("Series 1", new double[]{1.1, 5.0, 9.8}, new double[]{1.2, 4.9, 9.9}, new double[]{2.0, 4.0, 8.0});

    doc.save(getArtifactsDir() + "Charts.ChartSeriesCollection.docx");
}

/// <summary>
/// Get the DocumentBuilder to insert a chart of a specified ChartType, width and height and clean out its default data
/// </summary>
private Chart appendChart(DocumentBuilder builder, /*ChartType*/int chartType, double width, double height) throws Exception {
    Shape chartShape = builder.insertChart(chartType, width, height);
    Chart chart = chartShape.getChart();
    chart.getSeries().clear();

    Assert.assertEquals(chart.getSeries().getCount(), 0);

    return chart;
}

add

public ChartSeries add(java.lang.String seriesName, java.lang.String[] categories, double[] values)
Adds new ChartSeries to this collection. Use this method to add series to any type of Bar, Column, Line and Surface charts.
Returns:
Recently added ChartSeries object.

Example:

Shows an appropriate graph type for each chart series.
public void chartSeriesCollection() throws Exception {
    Document doc = new Document();
    DocumentBuilder builder = new DocumentBuilder(doc);

    // There are 4 ways of populating a chart's series collection
    // 1: Each series has a string array of categories, each with a corresponding data value
    // Some of the other possible applications are bar, column, line and surface charts
    Chart chart = appendChart(builder, ChartType.COLUMN, 300.0, 300.0);

    // Create and name 3 categories with a string array
    String[] categories = {"Category 1", "Category 2", "Category 3"};

    // Create 2 series of data, each with one point for every category
    // This will generate a column graph with 3 clusters of 2 bars
    chart.getSeries().add("Series 1", categories, new double[]{76.6, 82.1, 91.6});
    chart.getSeries().add("Series 2", categories, new double[]{64.2, 79.5, 94.0});

    // Categories are distributed along the X-axis while values are distributed along the Y-axis
    Assert.assertEquals(chart.getAxisX().getType(), ChartAxisType.CATEGORY);
    Assert.assertEquals(chart.getAxisY().getType(), ChartAxisType.VALUE);

    // 2: Each series will have a collection of dates with a corresponding value for each date
    // Area, radar and stock charts are some of the appropriate chart types for this
    chart = appendChart(builder, ChartType.AREA, 300.0, 300.0);

    // Create a collection of dates to serve as categories
    Date[] dates = {DocumentHelper.createDate(2014, 3, 31),
            DocumentHelper.createDate(2017, 1, 23),
            DocumentHelper.createDate(2017, 6, 18),
            DocumentHelper.createDate(2019, 11, 22),
            DocumentHelper.createDate(2020, 9, 7)
    };

    // Add one series with one point for each date
    // Our sporadic dates will be distributed along the X-axis in a linear fashion 
    chart.getSeries().add("Series 1", dates, new double[]{15.8, 21.5, 22.9, 28.7, 33.1});

    // 3: Each series will take two data arrays
    // Appropriate for scatter plots
    chart = appendChart(builder, ChartType.SCATTER, 300.0, 300.0);

    // In each series, the first array contains the X-coordinates and the second contains respective Y-coordinates of points
    chart.getSeries().add("Series 1", new double[]{3.1, 3.5, 6.3, 4.1, 2.2, 8.3, 1.2, 3.6}, new double[]{3.1, 6.3, 4.6, 0.9, 8.5, 4.2, 2.3, 9.9});
    chart.getSeries().add("Series 2", new double[]{2.6, 7.3, 4.5, 6.6, 2.1, 9.3, 0.7, 3.3}, new double[]{7.1, 6.6, 3.5, 7.8, 7.7, 9.5, 1.3, 4.6});

    // Both axes are value axes in this case
    Assert.assertEquals(chart.getAxisX().getType(), ChartAxisType.VALUE);
    Assert.assertEquals(chart.getAxisY().getType(), ChartAxisType.VALUE);

    // 4: Each series will be built from three data arrays, used for bubble charts
    chart = appendChart(builder, ChartType.BUBBLE, 300.0, 300.0);

    // The first two arrays contain X/Y coordinates like above and the third determines the thickness of each point
    chart.getSeries().add("Series 1", new double[]{1.1, 5.0, 9.8}, new double[]{1.2, 4.9, 9.9}, new double[]{2.0, 4.0, 8.0});

    doc.save(getArtifactsDir() + "Charts.ChartSeriesCollection.docx");
}

/// <summary>
/// Get the DocumentBuilder to insert a chart of a specified ChartType, width and height and clean out its default data
/// </summary>
private Chart appendChart(DocumentBuilder builder, /*ChartType*/int chartType, double width, double height) throws Exception {
    Shape chartShape = builder.insertChart(chartType, width, height);
    Chart chart = chartShape.getChart();
    chart.getSeries().clear();

    Assert.assertEquals(chart.getSeries().getCount(), 0);

    return chart;
}

add

public ChartSeries add(java.lang.String seriesName, java.util.Date[] dates, double[] values)
Adds new ChartSeries to this collection. Use this method to add series to any type of Area, Radar and Stock charts.

Example:

Shows an appropriate graph type for each chart series.
public void chartSeriesCollection() throws Exception {
    Document doc = new Document();
    DocumentBuilder builder = new DocumentBuilder(doc);

    // There are 4 ways of populating a chart's series collection
    // 1: Each series has a string array of categories, each with a corresponding data value
    // Some of the other possible applications are bar, column, line and surface charts
    Chart chart = appendChart(builder, ChartType.COLUMN, 300.0, 300.0);

    // Create and name 3 categories with a string array
    String[] categories = {"Category 1", "Category 2", "Category 3"};

    // Create 2 series of data, each with one point for every category
    // This will generate a column graph with 3 clusters of 2 bars
    chart.getSeries().add("Series 1", categories, new double[]{76.6, 82.1, 91.6});
    chart.getSeries().add("Series 2", categories, new double[]{64.2, 79.5, 94.0});

    // Categories are distributed along the X-axis while values are distributed along the Y-axis
    Assert.assertEquals(chart.getAxisX().getType(), ChartAxisType.CATEGORY);
    Assert.assertEquals(chart.getAxisY().getType(), ChartAxisType.VALUE);

    // 2: Each series will have a collection of dates with a corresponding value for each date
    // Area, radar and stock charts are some of the appropriate chart types for this
    chart = appendChart(builder, ChartType.AREA, 300.0, 300.0);

    // Create a collection of dates to serve as categories
    Date[] dates = {DocumentHelper.createDate(2014, 3, 31),
            DocumentHelper.createDate(2017, 1, 23),
            DocumentHelper.createDate(2017, 6, 18),
            DocumentHelper.createDate(2019, 11, 22),
            DocumentHelper.createDate(2020, 9, 7)
    };

    // Add one series with one point for each date
    // Our sporadic dates will be distributed along the X-axis in a linear fashion 
    chart.getSeries().add("Series 1", dates, new double[]{15.8, 21.5, 22.9, 28.7, 33.1});

    // 3: Each series will take two data arrays
    // Appropriate for scatter plots
    chart = appendChart(builder, ChartType.SCATTER, 300.0, 300.0);

    // In each series, the first array contains the X-coordinates and the second contains respective Y-coordinates of points
    chart.getSeries().add("Series 1", new double[]{3.1, 3.5, 6.3, 4.1, 2.2, 8.3, 1.2, 3.6}, new double[]{3.1, 6.3, 4.6, 0.9, 8.5, 4.2, 2.3, 9.9});
    chart.getSeries().add("Series 2", new double[]{2.6, 7.3, 4.5, 6.6, 2.1, 9.3, 0.7, 3.3}, new double[]{7.1, 6.6, 3.5, 7.8, 7.7, 9.5, 1.3, 4.6});

    // Both axes are value axes in this case
    Assert.assertEquals(chart.getAxisX().getType(), ChartAxisType.VALUE);
    Assert.assertEquals(chart.getAxisY().getType(), ChartAxisType.VALUE);

    // 4: Each series will be built from three data arrays, used for bubble charts
    chart = appendChart(builder, ChartType.BUBBLE, 300.0, 300.0);

    // The first two arrays contain X/Y coordinates like above and the third determines the thickness of each point
    chart.getSeries().add("Series 1", new double[]{1.1, 5.0, 9.8}, new double[]{1.2, 4.9, 9.9}, new double[]{2.0, 4.0, 8.0});

    doc.save(getArtifactsDir() + "Charts.ChartSeriesCollection.docx");
}

/// <summary>
/// Get the DocumentBuilder to insert a chart of a specified ChartType, width and height and clean out its default data
/// </summary>
private Chart appendChart(DocumentBuilder builder, /*ChartType*/int chartType, double width, double height) throws Exception {
    Shape chartShape = builder.insertChart(chartType, width, height);
    Chart chart = chartShape.getChart();
    chart.getSeries().clear();

    Assert.assertEquals(chart.getSeries().getCount(), 0);

    return chart;
}

clear

public void clear()
Removes all ChartSeries from this collection.

Example:

Shows how to work with a chart's data collection.
Document doc = new Document();
DocumentBuilder builder = new DocumentBuilder(doc);

// Use a document builder to insert a bar chart
Shape chartShape = builder.insertChart(ChartType.COLUMN, 400.0, 300.0);
Chart chart = chartShape.getChart();

// All charts come with demo data
// This column chart currently has 3 series with 4 categories, which means 4 clusters, 3 columns in each
ChartSeriesCollection chartData = chart.getSeries();
Assert.assertEquals(chartData.getCount(), 3);

// Iterate through the series with an enumerator and print their names
Iterator<ChartSeries> enumerator = chart.getSeries().iterator();

// And use it to go over all the data labels in one series and change their separator
while (enumerator.hasNext()) {
    System.out.println(enumerator.next().getName());
}


// We can add new data by adding a new series to the collection, with categories and data
// We will match the existing category/series names in the demo data and add a 4th column to each column cluster
String[] categories = {"Category 1", "Category 2", "Category 3", "Category 4"};
chart.getSeries().add("Series 4", categories, new double[]{4.4, 7.0, 3.5, 2.1});

Assert.assertEquals(chartData.getCount(), 4);
Assert.assertEquals(chartData.get(3).getName(), "Series 4");

// We can remove series by index
chartData.removeAt(2);

Assert.assertEquals(chartData.getCount(), 3);
Assert.assertEquals(chartData.get(2).getName(), "Series 4");

// We can also remove out all the series
// This leaves us with an empty graph and is a convenient way of wiping out demo data
chartData.clear();

Assert.assertEquals(0, chartData.getCount());

iterator

public java.util.Iterator<ChartSeriesiterator()
Returns an enumerator object.

Example:

Shows how to work with a chart's data collection.
Document doc = new Document();
DocumentBuilder builder = new DocumentBuilder(doc);

// Use a document builder to insert a bar chart
Shape chartShape = builder.insertChart(ChartType.COLUMN, 400.0, 300.0);
Chart chart = chartShape.getChart();

// All charts come with demo data
// This column chart currently has 3 series with 4 categories, which means 4 clusters, 3 columns in each
ChartSeriesCollection chartData = chart.getSeries();
Assert.assertEquals(chartData.getCount(), 3);

// Iterate through the series with an enumerator and print their names
Iterator<ChartSeries> enumerator = chart.getSeries().iterator();

// And use it to go over all the data labels in one series and change their separator
while (enumerator.hasNext()) {
    System.out.println(enumerator.next().getName());
}


// We can add new data by adding a new series to the collection, with categories and data
// We will match the existing category/series names in the demo data and add a 4th column to each column cluster
String[] categories = {"Category 1", "Category 2", "Category 3", "Category 4"};
chart.getSeries().add("Series 4", categories, new double[]{4.4, 7.0, 3.5, 2.1});

Assert.assertEquals(chartData.getCount(), 4);
Assert.assertEquals(chartData.get(3).getName(), "Series 4");

// We can remove series by index
chartData.removeAt(2);

Assert.assertEquals(chartData.getCount(), 3);
Assert.assertEquals(chartData.get(2).getName(), "Series 4");

// We can also remove out all the series
// This leaves us with an empty graph and is a convenient way of wiping out demo data
chartData.clear();

Assert.assertEquals(0, chartData.getCount());

removeAt

public void removeAt(int index)
Removes a ChartSeries at the specified index.
Parameters:
index - The zero-based index of the ChartSeries to remove.

Example:

Shows how to work with a chart's data collection.
Document doc = new Document();
DocumentBuilder builder = new DocumentBuilder(doc);

// Use a document builder to insert a bar chart
Shape chartShape = builder.insertChart(ChartType.COLUMN, 400.0, 300.0);
Chart chart = chartShape.getChart();

// All charts come with demo data
// This column chart currently has 3 series with 4 categories, which means 4 clusters, 3 columns in each
ChartSeriesCollection chartData = chart.getSeries();
Assert.assertEquals(chartData.getCount(), 3);

// Iterate through the series with an enumerator and print their names
Iterator<ChartSeries> enumerator = chart.getSeries().iterator();

// And use it to go over all the data labels in one series and change their separator
while (enumerator.hasNext()) {
    System.out.println(enumerator.next().getName());
}


// We can add new data by adding a new series to the collection, with categories and data
// We will match the existing category/series names in the demo data and add a 4th column to each column cluster
String[] categories = {"Category 1", "Category 2", "Category 3", "Category 4"};
chart.getSeries().add("Series 4", categories, new double[]{4.4, 7.0, 3.5, 2.1});

Assert.assertEquals(chartData.getCount(), 4);
Assert.assertEquals(chartData.get(3).getName(), "Series 4");

// We can remove series by index
chartData.removeAt(2);

Assert.assertEquals(chartData.getCount(), 3);
Assert.assertEquals(chartData.get(2).getName(), "Series 4");

// We can also remove out all the series
// This leaves us with an empty graph and is a convenient way of wiping out demo data
chartData.clear();

Assert.assertEquals(0, chartData.getCount());

See Also:
          Aspose.Words Documentation - the home page for the Aspose.Words Product Documentation.
          Aspose.Words Support Forum - our preferred method of support.