use charts::{Chart, VerticalBarView, ScaleBand, ScaleLinear};

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, 100])
        .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();
}

use charts::{Chart, VerticalBarView, ScaleBand, ScaleLinear, BarLabelPosition};

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 [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]);

    // 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 the 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, 100])
        .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", 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 = VerticalBarView::new()
        .set_x_scale(&x)
        .set_y_scale(&y)
        // .set_label_visibility(false)  // <-- uncomment this line to hide bar value labels
        .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("Stacked 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("stacked-vertical-bar-chart.svg").unwrap();
}

// 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)
    .set_keys(vec![String::from("foo"), String::from("baz"), String::from("bar")])
    // .set_label_visibility(false)  // <-- uncomment this line to hide bar value labels
    .set_label_position(BarLabelPosition::Center)
    .load_data(&data).unwrap();

use charts::{Chart, ScaleLinear, ScatterView, MarkerType, PointLabelPosition};

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, 200])
        .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, 100])
        .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();
}

use charts::{Chart, ScaleLinear, ScatterView, MarkerType, Color, PointLabelPosition};

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, 200])
        .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, 100])
        .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, "foo"), (12, 54, "foo"), (100, 40, "bar"), (180, 10, "baz")];

    // 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::Circle)
        .set_colors(Color::color_scheme_dark())
        .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-multiple-keys.svg").unwrap();
}

use charts::{Chart, ScaleLinear, MarkerType, PointLabelPosition, LineSeriesView};

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();
}

use charts::{Chart, ScaleLinear, MarkerType, PointLabelPosition, AreaSeriesView};

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();
}

use charts::{Chart, VerticalBarView, ScaleBand, ScaleLinear, ScatterView, MarkerType, Color, PointLabelPosition};

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]);

    // 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, 100])
        .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 bar_data = vec![("A", 70), ("B", 10), ("C", 30)];

    // You can use your own iterable as data as long as its items implement the `PointDatum` trait.
    let scatter_data = vec![(String::from("A"), 90.3), (String::from("B"), 20.1), (String::from("C"), 10.8)];

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

    // 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::NE)
        .set_marker_type(MarkerType::Circle)
        .set_colors(Color::from_vec_of_hex_strings(vec!["#FF4700"]))
        .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("Composite Bar + Scatter Chart"))
        .add_view(&bar_view)                            // <-- add bar view
        .add_view(&scatter_view)                        // <-- add scatter view
        .add_axis_bottom(&x)
        .add_axis_left(&y)
        .add_left_axis_label("Units of Measurement")
        .add_bottom_axis_label("Categories")
        .save("composite-bar-and-scatter-chart.svg").unwrap();
}

use charts::{Chart, ScaleLinear, ScatterView, MarkerType, PointLabelPosition, Color, AxisPosition};

fn main() {
    // Define chart related sizes.
    let width = 800;
    let height = 600;
    let (top, right, bottom, left) = (90, 40, 80, 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_1 = vec![(20, 90), (12, 54), (25, 70), (33, 40)];
    let scatter_data_2 = vec![(120, 10), (143, 34), (170, 14), (190, 13)];

    // Create Scatter view that is going to represent the data as points.
    let scatter_view_1 = ScatterView::new()
        .set_x_scale(&x)
        .set_y_scale(&y)
        .set_marker_type(MarkerType::Circle)
        .set_label_position(PointLabelPosition::N)
        .set_custom_data_label("Apples".to_owned())
        .load_data(&scatter_data_1).unwrap();

    // Create Scatter view that is going to represent the data as points.
    let scatter_view_2 = ScatterView::new()
        .set_x_scale(&x)
        .set_y_scale(&y)
        .set_marker_type(MarkerType::Square)
        .set_label_position(PointLabelPosition::N)
        .set_custom_data_label("Oranges".to_owned())
        .set_colors(Color::from_vec_of_hex_strings(vec!["#aa0000"]))
        .load_data(&scatter_data_2).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_1)
        .add_view(&scatter_view_2)
        .add_axis_bottom(&x)
        .add_axis_left(&y)
        .add_left_axis_label("Custom X Axis Label")
        .add_bottom_axis_label("Custom Y Axis Label")
        .add_legend_at(AxisPosition::Bottom)
        .save("scatter-chart-two-datasets.svg").unwrap();
}