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/// A structure representing plot dimensions and sizing behavior.
///
/// The `Dimensions` struct allows customization of plot size including width, height,
/// and auto-sizing behavior. It is particularly useful when creating subplot grids or
/// when you need precise control over plot dimensions.
///
/// # Example
///
/// ```rust
/// use plotlars::{
/// Axis, BarPlot, BoxPlot, Dimensions, Legend, Line, Orientation, Plot, Rgb, ScatterPlot, Shape,
/// SubplotGrid, Text, TickDirection, TimeSeriesPlot,
/// };
/// use polars::prelude::*;
///
/// let penguins_dataset = LazyCsvReader::new(PlRefPath::new("data/penguins.csv"))
/// .finish()
/// .unwrap()
/// .select([
/// col("species"),
/// col("sex").alias("gender"),
/// col("flipper_length_mm").cast(DataType::Int16),
/// col("body_mass_g").cast(DataType::Int16),
/// ])
/// .collect()
/// .unwrap();
///
/// let temperature_dataset = LazyCsvReader::new(PlRefPath::new("data/debilt_2023_temps.csv"))
/// .with_has_header(true)
/// .with_try_parse_dates(true)
/// .finish()
/// .unwrap()
/// .with_columns(vec![
/// (col("tavg") / lit(10)).alias("tavg"),
/// (col("tmin") / lit(10)).alias("tmin"),
/// (col("tmax") / lit(10)).alias("tmax"),
/// ])
/// .collect()
/// .unwrap();
///
/// let animals_dataset = LazyCsvReader::new(PlRefPath::new("data/animal_statistics.csv"))
/// .finish()
/// .unwrap()
/// .collect()
/// .unwrap();
///
/// let axis = Axis::new()
/// .show_line(true)
/// .tick_direction(TickDirection::OutSide)
/// .value_thousands(true);
///
/// let plot1 = TimeSeriesPlot::builder()
/// .data(&temperature_dataset)
/// .x("date")
/// .y("tavg")
/// .additional_series(vec!["tmin", "tmax"])
/// .colors(vec![Rgb(128, 128, 128), Rgb(0, 122, 255), Rgb(255, 128, 0)])
/// .lines(vec![Line::Solid, Line::Dot, Line::Dot])
/// .plot_title(
/// Text::from("De Bilt Temperature 2023")
/// .font("Arial Black")
/// .size(16),
/// )
/// .y_title(Text::from("temperature (°C)").size(13).x(-0.08))
/// .legend(&Legend::new().x(0.1).y(0.9))
/// .build();
///
/// let plot2 = ScatterPlot::builder()
/// .data(&penguins_dataset)
/// .x("body_mass_g")
/// .y("flipper_length_mm")
/// .group("species")
/// .sort_groups_by(|a, b| {
/// if a.len() == b.len() {
/// a.cmp(b)
/// } else {
/// a.len().cmp(&b.len())
/// }
/// })
/// .opacity(0.6)
/// .size(10)
/// .colors(vec![Rgb(178, 34, 34), Rgb(65, 105, 225), Rgb(255, 140, 0)])
/// .shapes(vec![Shape::Circle, Shape::Square, Shape::Diamond])
/// .plot_title(Text::from("Penguin Morphology").font("Arial Black").size(16))
/// .x_title(Text::from("body mass (g)").size(13))
/// .y_title(Text::from("flipper length (mm)").size(13).x(-0.11))
/// .legend_title(Text::from("Species").size(12))
/// .x_axis(&axis.clone().value_range(2500.0, 6500.0))
/// .y_axis(&axis.clone().value_range(170.0, 240.0))
/// .legend(&Legend::new().x(0.85).y(0.4))
/// .build();
///
/// let plot3 = BarPlot::builder()
/// .data(&animals_dataset)
/// .labels("animal")
/// .values("value")
/// .orientation(Orientation::Vertical)
/// .group("gender")
/// .sort_groups_by(|a, b| a.len().cmp(&b.len()))
/// .error("error")
/// .colors(vec![Rgb(255, 127, 80), Rgb(64, 224, 208)])
/// .plot_title(Text::from("Animal Statistics").font("Arial Black").size(16))
/// .x_title(Text::from("animal").size(13))
/// .y_title(Text::from("value").size(13))
/// .legend_title(Text::from("Gender").size(12))
/// .legend(
/// &Legend::new()
/// .orientation(Orientation::Horizontal)
/// .x(0.35)
/// .y(0.9),
/// )
/// .build();
///
/// let plot4 = BoxPlot::builder()
/// .data(&penguins_dataset)
/// .labels("species")
/// .values("body_mass_g")
/// .orientation(Orientation::Vertical)
/// .group("gender")
/// .box_points(true)
/// .point_offset(-1.5)
/// .jitter(0.01)
/// .opacity(0.15)
/// .colors(vec![Rgb(0, 191, 255), Rgb(57, 255, 20), Rgb(255, 105, 180)])
/// .plot_title(
/// Text::from("Body Mass Distribution")
/// .font("Arial Black")
/// .size(16),
/// )
/// .x_title(Text::from("species").size(13))
/// .y_title(Text::from("body mass (g)").size(13).x(-0.12))
/// .legend_title(Text::from("Gender").size(12))
/// .y_axis(&Axis::new().value_thousands(true))
/// .legend(&Legend::new().x(0.85).y(0.9))
/// .build();
///
/// let dimensions = Dimensions::new().width(1400).height(850).auto_size(false);
///
/// SubplotGrid::regular()
/// .plots(vec![&plot1, &plot2, &plot3, &plot4])
/// .rows(2)
/// .cols(2)
/// .v_gap(0.3)
/// .h_gap(0.2)
/// .dimensions(&dimensions)
/// .title(
/// Text::from("Scientific Data Visualization Dashboard")
/// .size(26)
/// .font("Arial Black"),
/// )
/// .build()
/// .plot();
/// ```
///
/// 