Struct ScaleLinear

pub struct ScaleLinear { /* private fields */ }

The scale to represent categorical data.

Implementations

impl ScaleLinear

pub fn new() -> Self

Create a new linear scale with default values.

Examples found in repository

examples/horizontal_bar_chart.rs (line 11)

fn main() {
    // Define chart related sizes.
    let width = 800;
    let height = 600;
    let (top, right, bottom, left) = (90, 40, 50, 60);

    // Create a linear scale that will interpolate values in [0, 100] range to corresponding
    // values in [0, availableWidth] range (the width of the chart without the margins).
    let x = ScaleLinear::new()
        .set_domain(vec![0_f32, 100_f32])
        .set_range(vec![0, width - left - right]);

    // Create a band scale that maps ["A", "B", "C"] categories to values in the [0, availableHeight]
    // range (the height of the chart without the margins).
    let y = ScaleBand::new()
        .set_domain(vec![String::from("A"), String::from("B"), String::from("C")])
        .set_range(vec![0, height - top - bottom]);

    // You can use your own iterable as data as long as its items implement the `BarDatum` trait.
    let data = vec![("A", 90), ("B", 10), ("C", 30)];

    // Create HorizontalBar view that is going to represent the data as vertical bars.
    let view = HorizontalBarView::new()
        .set_x_scale(&x)
        .set_y_scale(&y)
        .load_data(&data).unwrap();

    // Generate and save the chart.
    Chart::new()
        .set_width(width)
        .set_height(height)
        .set_margins(top, right, bottom, left)
        .add_title(String::from("Horizontal Bar Chart"))
        .add_view(&view)
        .add_axis_bottom(&x)
        .add_axis_top(&x)
        .add_axis_left(&y)
        .add_left_axis_label("Y Axis Custom Label")
        .add_bottom_axis_label("X Axis Custom Label")
        .save("horizontal-bar-chart.svg").unwrap();
}

examples/stacked_horizontal_bar_chart.rs (line 11)

fn main() {
    // Define chart related sizes.
    let width = 800;
    let height = 600;
    let (top, right, bottom, left) = (90, 40, 50, 60);

    // Create a linear scale that will interpolate values in [0, 100] range to corresponding
    // values in [0, availableWidth] range (the width of the chart without the margins).
    let x = ScaleLinear::new()
        .set_domain(vec![0_f32, 100_f32])
        .set_range(vec![0, width - left - right]);

    // Create a band scale that maps ["A", "B", "C"] categories to values in the [0, availableHeight]
    // range (the height of the chart without the margins).
    let y = ScaleBand::new()
        .set_domain(vec![String::from("A"), String::from("B"), String::from("C")])
        .set_range(vec![0, height - top - bottom]);

    // You can use your own iterable as data as long as its items implement the `BarDatum` trait.
    let data = vec![("A", 70, "foo"), ("B", 10, "foo"), ("C", 30, "foo"), ("A", 20, "bar"), ("A", 5, "baz")];

    // Create VerticalBar view that is going to represent the data as vertical bars.
    let view = HorizontalBarView::new()
        .set_x_scale(&x)
        .set_y_scale(&y)
        .set_label_position(BarLabelPosition::Center)
        .load_data(&data).unwrap();

    // Generate and save the chart.
    Chart::new()
        .set_width(width)
        .set_height(height)
        .set_margins(top, right, bottom, left)
        .add_title(String::from("Horizontal Stacked Bar Chart"))
        .add_view(&view)
        .add_axis_bottom(&x)
        .add_axis_left(&y)
        .add_left_axis_label("Y Axis Custom Label")
        .add_bottom_axis_label("X Axis Custom Label")
        .save("stacked-horizontal-bar-chart.svg").unwrap();
}

examples/vertical_bar_chart.rs (line 22)

fn main() {
    // Define chart related sizes.
    let width = 800;
    let height = 600;
    let (top, right, bottom, left) = (90, 40, 50, 60);

    // Create a band scale that maps ["A", "B", "C"] categories to values in the [0, availableWidth]
    // range (the width of the chart without the margins).
    let x = ScaleBand::new()
        .set_domain(vec![String::from("A"), String::from("B"), String::from("C")])
        .set_range(vec![0, width - left - right])
        .set_inner_padding(0.1)
        .set_outer_padding(0.1);

    // Create a linear scale that will interpolate values in [0, 100] range to corresponding
    // values in [availableHeight, 0] range (the height of the chart without the margins).
    // The [availableHeight, 0] range is inverted because SVGs coordinate system's origin is
    // in top left corner, while chart's origin is in bottom left corner, hence we need to invert
    // the range on Y axis for the chart to display as though its origin is at bottom left.
    let y = ScaleLinear::new()
        .set_domain(vec![0_f32, 100_f32])
        .set_range(vec![height - top - bottom, 0]);

    // You can use your own iterable as data as long as its items implement the `BarDatum` trait.
    let data = vec![("A", 90), ("B", 10), ("C", 30)];

    // Create VerticalBar view that is going to represent the data as vertical bars.
    let view = VerticalBarView::new()
        .set_x_scale(&x)
        .set_y_scale(&y)
        .load_data(&data).unwrap();

    // Generate and save the chart.
    Chart::new()
        .set_width(width)
        .set_height(height)
        .set_margins(top, right, bottom, left)
        .add_title(String::from("Bar Chart"))
        .add_view(&view)
        .add_axis_bottom(&x)
        .add_axis_left(&y)
        .add_left_axis_label("Units of Measurement")
        .add_bottom_axis_label("Categories")
        .save("vertical-bar-chart.svg").unwrap();
}

examples/line_series_chart.rs (line 11)

fn main() {
    // Define chart related sizes.
    let width = 800;
    let height = 600;
    let (top, right, bottom, left) = (90, 40, 50, 60);

    // Create a band scale that will interpolate values in [0, 200] to values in the
    // [0, availableWidth] range (the width of the chart without the margins).
    let x = ScaleLinear::new()
        .set_domain(vec![0_f32, 200_f32])
        .set_range(vec![0, width - left - right]);

    // Create a linear scale that will interpolate values in [0, 100] range to corresponding
    // values in [availableHeight, 0] range (the height of the chart without the margins).
    // The [availableHeight, 0] range is inverted because SVGs coordinate system's origin is
    // in top left corner, while chart's origin is in bottom left corner, hence we need to invert
    // the range on Y axis for the chart to display as though its origin is at bottom left.
    let y = ScaleLinear::new()
        .set_domain(vec![0_f32, 100_f32])
        .set_range(vec![height - top - bottom, 0]);

    // You can use your own iterable as data as long as its items implement the `PointDatum` trait.
    let line_data = vec![(12, 54), (100, 40), (120, 50), (180, 70)];

    // Create Line series view that is going to represent the data.
    let line_view = LineSeriesView::new()
        .set_x_scale(&x)
        .set_y_scale(&y)
        .set_marker_type(MarkerType::Circle)
        .set_label_position(PointLabelPosition::N)
        .load_data(&line_data).unwrap();

    // Generate and save the chart.
    Chart::new()
        .set_width(width)
        .set_height(height)
        .set_margins(top, right, bottom, left)
        .add_title(String::from("Line Chart"))
        .add_view(&line_view)
        .add_axis_bottom(&x)
        .add_axis_left(&y)
        .add_left_axis_label("Custom Y Axis Label")
        .add_bottom_axis_label("Custom X Axis Label")
        .save("line-chart.svg").unwrap();
}

examples/area_series_chart.rs (line 11)

fn main() {
    // Define chart related sizes.
    let width = 800;
    let height = 600;
    let (top, right, bottom, left) = (90, 40, 50, 60);

    // Create a band scale that will interpolate values in [0, 200] to values in the
    // [0, availableWidth] range (the width of the chart without the margins).
    let x = ScaleLinear::new()
        .set_domain(vec![12_f32, 180_f32])
        .set_range(vec![0, width - left - right]);

    // Create a linear scale that will interpolate values in [0, 100] range to corresponding
    // values in [availableHeight, 0] range (the height of the chart without the margins).
    // The [availableHeight, 0] range is inverted because SVGs coordinate system's origin is
    // in top left corner, while chart's origin is in bottom left corner, hence we need to invert
    // the range on Y axis for the chart to display as though its origin is at bottom left.
    let y = ScaleLinear::new()
        .set_domain(vec![0_f32, 100_f32])
        .set_range(vec![height - top - bottom, 0]);

    // You can use your own iterable as data as long as its items implement the `PointDatum` trait.
    let area_data = vec![(12, 54), (100, 40), (120, 50), (180, 70)];

    // Create Area series view that is going to represent the data.
    let area_view = AreaSeriesView::new()
        .set_x_scale(&x)
        .set_y_scale(&y)
        .set_marker_type(MarkerType::Circle)
        .set_label_position(PointLabelPosition::N)
        .load_data(&area_data).unwrap();

    // Generate and save the chart.
    Chart::new()
        .set_width(width)
        .set_height(height)
        .set_margins(top, right, bottom, left)
        .add_title(String::from("Area Chart"))
        .add_view(&area_view)
        .add_axis_bottom(&x)
        .add_axis_left(&y)
        .add_left_axis_label("Custom Y Axis Label")
        .add_bottom_axis_label("Custom X Axis Label")
        .save("area-chart.svg").unwrap();
}

examples/scatter_chart.rs (line 11)

fn main() {
    // Define chart related sizes.
    let width = 800;
    let height = 600;
    let (top, right, bottom, left) = (90, 40, 50, 60);

    // Create a band scale that will interpolate values in [0, 200] to values in the
    // [0, availableWidth] range (the width of the chart without the margins).
    let x = ScaleLinear::new()
        .set_domain(vec![0_f32, 200_f32])
        .set_range(vec![0, width - left - right]);

    // Create a linear scale that will interpolate values in [0, 100] range to corresponding
    // values in [availableHeight, 0] range (the height of the chart without the margins).
    // The [availableHeight, 0] range is inverted because SVGs coordinate system's origin is
    // in top left corner, while chart's origin is in bottom left corner, hence we need to invert
    // the range on Y axis for the chart to display as though its origin is at bottom left.
    let y = ScaleLinear::new()
        .set_domain(vec![0_f32, 100_f32])
        .set_range(vec![height - top - bottom, 0]);

    // You can use your own iterable as data as long as its items implement the `PointDatum` trait.
    let scatter_data = vec![(120, 90), (12, 54), (100, 40), (180, 10)];

    // Create Scatter view that is going to represent the data as points.
    let scatter_view = ScatterView::new()
        .set_x_scale(&x)
        .set_y_scale(&y)
        .set_label_position(PointLabelPosition::E)
        .set_marker_type(MarkerType::Square)
        .load_data(&scatter_data).unwrap();

    // Generate and save the chart.
    Chart::new()
        .set_width(width)
        .set_height(height)
        .set_margins(top, right, bottom, left)
        .add_title(String::from("Scatter Chart"))
        .add_view(&scatter_view)
        .add_axis_bottom(&x)
        .add_axis_left(&y)
        .add_left_axis_label("Custom X Axis Label")
        .add_bottom_axis_label("Custom Y Axis Label")
        .save("scatter-chart.svg").unwrap();
}

Additional examples can be found in:

• examples/scatter_chart_multiple_keys.rs
• examples/stacked_vertical_bar_chart.rs
• examples/scatter_chart_two_datasets.rs
• examples/composite_bar_and_scatter_chart.rs

pub fn set_domain(self, range: Vec<f32>) -> Self

Set the domain limits for the scale band.

Examples found in repository

examples/horizontal_bar_chart.rs (line 12)

fn main() {
    // Define chart related sizes.
    let width = 800;
    let height = 600;
    let (top, right, bottom, left) = (90, 40, 50, 60);

    // Create a linear scale that will interpolate values in [0, 100] range to corresponding
    // values in [0, availableWidth] range (the width of the chart without the margins).
    let x = ScaleLinear::new()
        .set_domain(vec![0_f32, 100_f32])
        .set_range(vec![0, width - left - right]);

    // Create a band scale that maps ["A", "B", "C"] categories to values in the [0, availableHeight]
    // range (the height of the chart without the margins).
    let y = ScaleBand::new()
        .set_domain(vec![String::from("A"), String::from("B"), String::from("C")])
        .set_range(vec![0, height - top - bottom]);

    // You can use your own iterable as data as long as its items implement the `BarDatum` trait.
    let data = vec![("A", 90), ("B", 10), ("C", 30)];

    // Create HorizontalBar view that is going to represent the data as vertical bars.
    let view = HorizontalBarView::new()
        .set_x_scale(&x)
        .set_y_scale(&y)
        .load_data(&data).unwrap();

    // Generate and save the chart.
    Chart::new()
        .set_width(width)
        .set_height(height)
        .set_margins(top, right, bottom, left)
        .add_title(String::from("Horizontal Bar Chart"))
        .add_view(&view)
        .add_axis_bottom(&x)
        .add_axis_top(&x)
        .add_axis_left(&y)
        .add_left_axis_label("Y Axis Custom Label")
        .add_bottom_axis_label("X Axis Custom Label")
        .save("horizontal-bar-chart.svg").unwrap();
}

examples/stacked_horizontal_bar_chart.rs (line 12)

fn main() {
    // Define chart related sizes.
    let width = 800;
    let height = 600;
    let (top, right, bottom, left) = (90, 40, 50, 60);

    // Create a linear scale that will interpolate values in [0, 100] range to corresponding
    // values in [0, availableWidth] range (the width of the chart without the margins).
    let x = ScaleLinear::new()
        .set_domain(vec![0_f32, 100_f32])
        .set_range(vec![0, width - left - right]);

    // Create a band scale that maps ["A", "B", "C"] categories to values in the [0, availableHeight]
    // range (the height of the chart without the margins).
    let y = ScaleBand::new()
        .set_domain(vec![String::from("A"), String::from("B"), String::from("C")])
        .set_range(vec![0, height - top - bottom]);

    // You can use your own iterable as data as long as its items implement the `BarDatum` trait.
    let data = vec![("A", 70, "foo"), ("B", 10, "foo"), ("C", 30, "foo"), ("A", 20, "bar"), ("A", 5, "baz")];

    // Create VerticalBar view that is going to represent the data as vertical bars.
    let view = HorizontalBarView::new()
        .set_x_scale(&x)
        .set_y_scale(&y)
        .set_label_position(BarLabelPosition::Center)
        .load_data(&data).unwrap();

    // Generate and save the chart.
    Chart::new()
        .set_width(width)
        .set_height(height)
        .set_margins(top, right, bottom, left)
        .add_title(String::from("Horizontal Stacked Bar Chart"))
        .add_view(&view)
        .add_axis_bottom(&x)
        .add_axis_left(&y)
        .add_left_axis_label("Y Axis Custom Label")
        .add_bottom_axis_label("X Axis Custom Label")
        .save("stacked-horizontal-bar-chart.svg").unwrap();
}

examples/vertical_bar_chart.rs (line 23)

fn main() {
    // Define chart related sizes.
    let width = 800;
    let height = 600;
    let (top, right, bottom, left) = (90, 40, 50, 60);

    // Create a band scale that maps ["A", "B", "C"] categories to values in the [0, availableWidth]
    // range (the width of the chart without the margins).
    let x = ScaleBand::new()
        .set_domain(vec![String::from("A"), String::from("B"), String::from("C")])
        .set_range(vec![0, width - left - right])
        .set_inner_padding(0.1)
        .set_outer_padding(0.1);

    // Create a linear scale that will interpolate values in [0, 100] range to corresponding
    // values in [availableHeight, 0] range (the height of the chart without the margins).
    // The [availableHeight, 0] range is inverted because SVGs coordinate system's origin is
    // in top left corner, while chart's origin is in bottom left corner, hence we need to invert
    // the range on Y axis for the chart to display as though its origin is at bottom left.
    let y = ScaleLinear::new()
        .set_domain(vec![0_f32, 100_f32])
        .set_range(vec![height - top - bottom, 0]);

    // You can use your own iterable as data as long as its items implement the `BarDatum` trait.
    let data = vec![("A", 90), ("B", 10), ("C", 30)];

    // Create VerticalBar view that is going to represent the data as vertical bars.
    let view = VerticalBarView::new()
        .set_x_scale(&x)
        .set_y_scale(&y)
        .load_data(&data).unwrap();

    // Generate and save the chart.
    Chart::new()
        .set_width(width)
        .set_height(height)
        .set_margins(top, right, bottom, left)
        .add_title(String::from("Bar Chart"))
        .add_view(&view)
        .add_axis_bottom(&x)
        .add_axis_left(&y)
        .add_left_axis_label("Units of Measurement")
        .add_bottom_axis_label("Categories")
        .save("vertical-bar-chart.svg").unwrap();
}

examples/line_series_chart.rs (line 12)

fn main() {
    // Define chart related sizes.
    let width = 800;
    let height = 600;
    let (top, right, bottom, left) = (90, 40, 50, 60);

    // Create a band scale that will interpolate values in [0, 200] to values in the
    // [0, availableWidth] range (the width of the chart without the margins).
    let x = ScaleLinear::new()
        .set_domain(vec![0_f32, 200_f32])
        .set_range(vec![0, width - left - right]);

    // Create a linear scale that will interpolate values in [0, 100] range to corresponding
    // values in [availableHeight, 0] range (the height of the chart without the margins).
    // The [availableHeight, 0] range is inverted because SVGs coordinate system's origin is
    // in top left corner, while chart's origin is in bottom left corner, hence we need to invert
    // the range on Y axis for the chart to display as though its origin is at bottom left.
    let y = ScaleLinear::new()
        .set_domain(vec![0_f32, 100_f32])
        .set_range(vec![height - top - bottom, 0]);

    // You can use your own iterable as data as long as its items implement the `PointDatum` trait.
    let line_data = vec![(12, 54), (100, 40), (120, 50), (180, 70)];

    // Create Line series view that is going to represent the data.
    let line_view = LineSeriesView::new()
        .set_x_scale(&x)
        .set_y_scale(&y)
        .set_marker_type(MarkerType::Circle)
        .set_label_position(PointLabelPosition::N)
        .load_data(&line_data).unwrap();

    // Generate and save the chart.
    Chart::new()
        .set_width(width)
        .set_height(height)
        .set_margins(top, right, bottom, left)
        .add_title(String::from("Line Chart"))
        .add_view(&line_view)
        .add_axis_bottom(&x)
        .add_axis_left(&y)
        .add_left_axis_label("Custom Y Axis Label")
        .add_bottom_axis_label("Custom X Axis Label")
        .save("line-chart.svg").unwrap();
}

examples/area_series_chart.rs (line 12)

fn main() {
    // Define chart related sizes.
    let width = 800;
    let height = 600;
    let (top, right, bottom, left) = (90, 40, 50, 60);

    // Create a band scale that will interpolate values in [0, 200] to values in the
    // [0, availableWidth] range (the width of the chart without the margins).
    let x = ScaleLinear::new()
        .set_domain(vec![12_f32, 180_f32])
        .set_range(vec![0, width - left - right]);

    // Create a linear scale that will interpolate values in [0, 100] range to corresponding
    // values in [availableHeight, 0] range (the height of the chart without the margins).
    // The [availableHeight, 0] range is inverted because SVGs coordinate system's origin is
    // in top left corner, while chart's origin is in bottom left corner, hence we need to invert
    // the range on Y axis for the chart to display as though its origin is at bottom left.
    let y = ScaleLinear::new()
        .set_domain(vec![0_f32, 100_f32])
        .set_range(vec![height - top - bottom, 0]);

    // You can use your own iterable as data as long as its items implement the `PointDatum` trait.
    let area_data = vec![(12, 54), (100, 40), (120, 50), (180, 70)];

    // Create Area series view that is going to represent the data.
    let area_view = AreaSeriesView::new()
        .set_x_scale(&x)
        .set_y_scale(&y)
        .set_marker_type(MarkerType::Circle)
        .set_label_position(PointLabelPosition::N)
        .load_data(&area_data).unwrap();

    // Generate and save the chart.
    Chart::new()
        .set_width(width)
        .set_height(height)
        .set_margins(top, right, bottom, left)
        .add_title(String::from("Area Chart"))
        .add_view(&area_view)
        .add_axis_bottom(&x)
        .add_axis_left(&y)
        .add_left_axis_label("Custom Y Axis Label")
        .add_bottom_axis_label("Custom X Axis Label")
        .save("area-chart.svg").unwrap();
}

examples/scatter_chart.rs (line 12)

fn main() {
    // Define chart related sizes.
    let width = 800;
    let height = 600;
    let (top, right, bottom, left) = (90, 40, 50, 60);

    // Create a band scale that will interpolate values in [0, 200] to values in the
    // [0, availableWidth] range (the width of the chart without the margins).
    let x = ScaleLinear::new()
        .set_domain(vec![0_f32, 200_f32])
        .set_range(vec![0, width - left - right]);

    // Create a linear scale that will interpolate values in [0, 100] range to corresponding
    // values in [availableHeight, 0] range (the height of the chart without the margins).
    // The [availableHeight, 0] range is inverted because SVGs coordinate system's origin is
    // in top left corner, while chart's origin is in bottom left corner, hence we need to invert
    // the range on Y axis for the chart to display as though its origin is at bottom left.
    let y = ScaleLinear::new()
        .set_domain(vec![0_f32, 100_f32])
        .set_range(vec![height - top - bottom, 0]);

    // You can use your own iterable as data as long as its items implement the `PointDatum` trait.
    let scatter_data = vec![(120, 90), (12, 54), (100, 40), (180, 10)];

    // Create Scatter view that is going to represent the data as points.
    let scatter_view = ScatterView::new()
        .set_x_scale(&x)
        .set_y_scale(&y)
        .set_label_position(PointLabelPosition::E)
        .set_marker_type(MarkerType::Square)
        .load_data(&scatter_data).unwrap();

    // Generate and save the chart.
    Chart::new()
        .set_width(width)
        .set_height(height)
        .set_margins(top, right, bottom, left)
        .add_title(String::from("Scatter Chart"))
        .add_view(&scatter_view)
        .add_axis_bottom(&x)
        .add_axis_left(&y)
        .add_left_axis_label("Custom X Axis Label")
        .add_bottom_axis_label("Custom Y Axis Label")
        .save("scatter-chart.svg").unwrap();
}

Additional examples can be found in:

• examples/scatter_chart_multiple_keys.rs
• examples/stacked_vertical_bar_chart.rs
• examples/scatter_chart_two_datasets.rs
• examples/composite_bar_and_scatter_chart.rs

pub fn domain(&self) -> &Vec<f32>

Get the domain limits of the scale.

pub fn set_range(self, range: Vec<isize>) -> Self

Set the range limits for the scale band.

Examples found in repository

examples/horizontal_bar_chart.rs (line 13)

fn main() {
    // Define chart related sizes.
    let width = 800;
    let height = 600;
    let (top, right, bottom, left) = (90, 40, 50, 60);

    // Create a linear scale that will interpolate values in [0, 100] range to corresponding
    // values in [0, availableWidth] range (the width of the chart without the margins).
    let x = ScaleLinear::new()
        .set_domain(vec![0_f32, 100_f32])
        .set_range(vec![0, width - left - right]);

    // Create a band scale that maps ["A", "B", "C"] categories to values in the [0, availableHeight]
    // range (the height of the chart without the margins).
    let y = ScaleBand::new()
        .set_domain(vec![String::from("A"), String::from("B"), String::from("C")])
        .set_range(vec![0, height - top - bottom]);

    // You can use your own iterable as data as long as its items implement the `BarDatum` trait.
    let data = vec![("A", 90), ("B", 10), ("C", 30)];

    // Create HorizontalBar view that is going to represent the data as vertical bars.
    let view = HorizontalBarView::new()
        .set_x_scale(&x)
        .set_y_scale(&y)
        .load_data(&data).unwrap();

    // Generate and save the chart.
    Chart::new()
        .set_width(width)
        .set_height(height)
        .set_margins(top, right, bottom, left)
        .add_title(String::from("Horizontal Bar Chart"))
        .add_view(&view)
        .add_axis_bottom(&x)
        .add_axis_top(&x)
        .add_axis_left(&y)
        .add_left_axis_label("Y Axis Custom Label")
        .add_bottom_axis_label("X Axis Custom Label")
        .save("horizontal-bar-chart.svg").unwrap();
}

examples/stacked_horizontal_bar_chart.rs (line 13)

fn main() {
    // Define chart related sizes.
    let width = 800;
    let height = 600;
    let (top, right, bottom, left) = (90, 40, 50, 60);

    // Create a linear scale that will interpolate values in [0, 100] range to corresponding
    // values in [0, availableWidth] range (the width of the chart without the margins).
    let x = ScaleLinear::new()
        .set_domain(vec![0_f32, 100_f32])
        .set_range(vec![0, width - left - right]);

    // Create a band scale that maps ["A", "B", "C"] categories to values in the [0, availableHeight]
    // range (the height of the chart without the margins).
    let y = ScaleBand::new()
        .set_domain(vec![String::from("A"), String::from("B"), String::from("C")])
        .set_range(vec![0, height - top - bottom]);

    // You can use your own iterable as data as long as its items implement the `BarDatum` trait.
    let data = vec![("A", 70, "foo"), ("B", 10, "foo"), ("C", 30, "foo"), ("A", 20, "bar"), ("A", 5, "baz")];

    // Create VerticalBar view that is going to represent the data as vertical bars.
    let view = HorizontalBarView::new()
        .set_x_scale(&x)
        .set_y_scale(&y)
        .set_label_position(BarLabelPosition::Center)
        .load_data(&data).unwrap();

    // Generate and save the chart.
    Chart::new()
        .set_width(width)
        .set_height(height)
        .set_margins(top, right, bottom, left)
        .add_title(String::from("Horizontal Stacked Bar Chart"))
        .add_view(&view)
        .add_axis_bottom(&x)
        .add_axis_left(&y)
        .add_left_axis_label("Y Axis Custom Label")
        .add_bottom_axis_label("X Axis Custom Label")
        .save("stacked-horizontal-bar-chart.svg").unwrap();
}

examples/vertical_bar_chart.rs (line 24)

fn main() {
    // Define chart related sizes.
    let width = 800;
    let height = 600;
    let (top, right, bottom, left) = (90, 40, 50, 60);

    // Create a band scale that maps ["A", "B", "C"] categories to values in the [0, availableWidth]
    // range (the width of the chart without the margins).
    let x = ScaleBand::new()
        .set_domain(vec![String::from("A"), String::from("B"), String::from("C")])
        .set_range(vec![0, width - left - right])
        .set_inner_padding(0.1)
        .set_outer_padding(0.1);

    // Create a linear scale that will interpolate values in [0, 100] range to corresponding
    // values in [availableHeight, 0] range (the height of the chart without the margins).
    // The [availableHeight, 0] range is inverted because SVGs coordinate system's origin is
    // in top left corner, while chart's origin is in bottom left corner, hence we need to invert
    // the range on Y axis for the chart to display as though its origin is at bottom left.
    let y = ScaleLinear::new()
        .set_domain(vec![0_f32, 100_f32])
        .set_range(vec![height - top - bottom, 0]);

    // You can use your own iterable as data as long as its items implement the `BarDatum` trait.
    let data = vec![("A", 90), ("B", 10), ("C", 30)];

    // Create VerticalBar view that is going to represent the data as vertical bars.
    let view = VerticalBarView::new()
        .set_x_scale(&x)
        .set_y_scale(&y)
        .load_data(&data).unwrap();

    // Generate and save the chart.
    Chart::new()
        .set_width(width)
        .set_height(height)
        .set_margins(top, right, bottom, left)
        .add_title(String::from("Bar Chart"))
        .add_view(&view)
        .add_axis_bottom(&x)
        .add_axis_left(&y)
        .add_left_axis_label("Units of Measurement")
        .add_bottom_axis_label("Categories")
        .save("vertical-bar-chart.svg").unwrap();
}

examples/line_series_chart.rs (line 13)

fn main() {
    // Define chart related sizes.
    let width = 800;
    let height = 600;
    let (top, right, bottom, left) = (90, 40, 50, 60);

    // Create a band scale that will interpolate values in [0, 200] to values in the
    // [0, availableWidth] range (the width of the chart without the margins).
    let x = ScaleLinear::new()
        .set_domain(vec![0_f32, 200_f32])
        .set_range(vec![0, width - left - right]);

    // Create a linear scale that will interpolate values in [0, 100] range to corresponding
    // values in [availableHeight, 0] range (the height of the chart without the margins).
    // The [availableHeight, 0] range is inverted because SVGs coordinate system's origin is
    // in top left corner, while chart's origin is in bottom left corner, hence we need to invert
    // the range on Y axis for the chart to display as though its origin is at bottom left.
    let y = ScaleLinear::new()
        .set_domain(vec![0_f32, 100_f32])
        .set_range(vec![height - top - bottom, 0]);

    // You can use your own iterable as data as long as its items implement the `PointDatum` trait.
    let line_data = vec![(12, 54), (100, 40), (120, 50), (180, 70)];

    // Create Line series view that is going to represent the data.
    let line_view = LineSeriesView::new()
        .set_x_scale(&x)
        .set_y_scale(&y)
        .set_marker_type(MarkerType::Circle)
        .set_label_position(PointLabelPosition::N)
        .load_data(&line_data).unwrap();

    // Generate and save the chart.
    Chart::new()
        .set_width(width)
        .set_height(height)
        .set_margins(top, right, bottom, left)
        .add_title(String::from("Line Chart"))
        .add_view(&line_view)
        .add_axis_bottom(&x)
        .add_axis_left(&y)
        .add_left_axis_label("Custom Y Axis Label")
        .add_bottom_axis_label("Custom X Axis Label")
        .save("line-chart.svg").unwrap();
}

examples/area_series_chart.rs (line 13)

fn main() {
    // Define chart related sizes.
    let width = 800;
    let height = 600;
    let (top, right, bottom, left) = (90, 40, 50, 60);

    // Create a band scale that will interpolate values in [0, 200] to values in the
    // [0, availableWidth] range (the width of the chart without the margins).
    let x = ScaleLinear::new()
        .set_domain(vec![12_f32, 180_f32])
        .set_range(vec![0, width - left - right]);

    // Create a linear scale that will interpolate values in [0, 100] range to corresponding
    // values in [availableHeight, 0] range (the height of the chart without the margins).
    // The [availableHeight, 0] range is inverted because SVGs coordinate system's origin is
    // in top left corner, while chart's origin is in bottom left corner, hence we need to invert
    // the range on Y axis for the chart to display as though its origin is at bottom left.
    let y = ScaleLinear::new()
        .set_domain(vec![0_f32, 100_f32])
        .set_range(vec![height - top - bottom, 0]);

    // You can use your own iterable as data as long as its items implement the `PointDatum` trait.
    let area_data = vec![(12, 54), (100, 40), (120, 50), (180, 70)];

    // Create Area series view that is going to represent the data.
    let area_view = AreaSeriesView::new()
        .set_x_scale(&x)
        .set_y_scale(&y)
        .set_marker_type(MarkerType::Circle)
        .set_label_position(PointLabelPosition::N)
        .load_data(&area_data).unwrap();

    // Generate and save the chart.
    Chart::new()
        .set_width(width)
        .set_height(height)
        .set_margins(top, right, bottom, left)
        .add_title(String::from("Area Chart"))
        .add_view(&area_view)
        .add_axis_bottom(&x)
        .add_axis_left(&y)
        .add_left_axis_label("Custom Y Axis Label")
        .add_bottom_axis_label("Custom X Axis Label")
        .save("area-chart.svg").unwrap();
}

examples/scatter_chart.rs (line 13)

fn main() {
    // Define chart related sizes.
    let width = 800;
    let height = 600;
    let (top, right, bottom, left) = (90, 40, 50, 60);

    // Create a band scale that will interpolate values in [0, 200] to values in the
    // [0, availableWidth] range (the width of the chart without the margins).
    let x = ScaleLinear::new()
        .set_domain(vec![0_f32, 200_f32])
        .set_range(vec![0, width - left - right]);

    // Create a linear scale that will interpolate values in [0, 100] range to corresponding
    // values in [availableHeight, 0] range (the height of the chart without the margins).
    // The [availableHeight, 0] range is inverted because SVGs coordinate system's origin is
    // in top left corner, while chart's origin is in bottom left corner, hence we need to invert
    // the range on Y axis for the chart to display as though its origin is at bottom left.
    let y = ScaleLinear::new()
        .set_domain(vec![0_f32, 100_f32])
        .set_range(vec![height - top - bottom, 0]);

    // You can use your own iterable as data as long as its items implement the `PointDatum` trait.
    let scatter_data = vec![(120, 90), (12, 54), (100, 40), (180, 10)];

    // Create Scatter view that is going to represent the data as points.
    let scatter_view = ScatterView::new()
        .set_x_scale(&x)
        .set_y_scale(&y)
        .set_label_position(PointLabelPosition::E)
        .set_marker_type(MarkerType::Square)
        .load_data(&scatter_data).unwrap();

    // Generate and save the chart.
    Chart::new()
        .set_width(width)
        .set_height(height)
        .set_margins(top, right, bottom, left)
        .add_title(String::from("Scatter Chart"))
        .add_view(&scatter_view)
        .add_axis_bottom(&x)
        .add_axis_left(&y)
        .add_left_axis_label("Custom X Axis Label")
        .add_bottom_axis_label("Custom Y Axis Label")
        .save("scatter-chart.svg").unwrap();
}

Additional examples can be found in:

• examples/scatter_chart_multiple_keys.rs
• examples/stacked_vertical_bar_chart.rs
• examples/scatter_chart_two_datasets.rs
• examples/composite_bar_and_scatter_chart.rs

pub fn range(&self) -> &Vec<isize>

Get the range limits of the scale.

Trait Implementations

impl Debug for ScaleLinear

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Scale<f32> for ScaleLinear

fn get_type(&self) -> ScaleType

Get the type of the scale.

fn scale(&self, domain: &f32) -> f32

Get the range value for the given domain entry.

fn bandwidth(&self) -> Option<f32>

Get the bandwidth (if present).

fn range_start(&self) -> f32

Get the start range value.

fn range_end(&self) -> f32

Get the end range value.

fn get_ticks(&self) -> Vec<f32>

Get the list of ticks that represent the scale on a chart axis.

fn is_range_reversed(&self) -> bool

Check whether the range is in reversed order, meaning the start is greater than the end.