ChartAxisType Property

public ChartAxisType Type { get; }

Public ReadOnly Property Type As ChartAxisType
	Get

public:
property ChartAxisType Type {
	ChartAxisType get ();
}

member Type : ChartAxisType with get

public void ChartSeriesCollection()
{
    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, 300);

    // 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.Series.Add("Series 1", categories, new [] { 76.6, 82.1, 91.6 });
    chart.Series.Add("Series 2", categories, new [] { 64.2, 79.5, 94.0 });

    // Categories are distributed along the X-axis while values are distributed along the Y-axis
    Assert.AreEqual(ChartAxisType.Category, chart.AxisX.Type);
    Assert.AreEqual(ChartAxisType.Value, chart.AxisY.Type);

    // 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, 300);

    // Create a collection of dates to serve as categories
    DateTime[] dates = { new DateTime(2014, 3, 31),
        new DateTime(2017, 1, 23),
        new DateTime(2017, 6, 18),
        new DateTime(2019, 11, 22),
        new DateTime(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.Series.Add("Series 1", dates, new [] { 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, 300);

    // In each series, the first array contains the X-coordinates and the second contains respective Y-coordinates of points
    chart.Series.Add("Series 1", new[] { 3.1, 3.5, 6.3, 4.1, 2.2, 8.3, 1.2, 3.6 }, new[] { 3.1, 6.3, 4.6, 0.9, 8.5, 4.2, 2.3, 9.9 });
    chart.Series.Add("Series 2", new[] { 2.6, 7.3, 4.5, 6.6, 2.1, 9.3, 0.7, 3.3 }, new[] { 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.AreEqual(ChartAxisType.Value, chart.AxisX.Type);
    Assert.AreEqual(ChartAxisType.Value, chart.AxisY.Type);

    // 4: Each series will be built from three data arrays, used for bubble charts
    chart = AppendChart(builder, ChartType.Bubble, 300, 300);

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

    doc.Save(ArtifactsDir + "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 static Chart AppendChart(DocumentBuilder builder, ChartType chartType, double width, double height)
{
    Shape chartShape = builder.InsertChart(chartType, width, height);
    Chart chart = chartShape.Chart;
    chart.Series.Clear();

    Assert.AreEqual(0, chart.Series.Count);

    return chart;
}