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use crate::figure::{
canvas::pixelcanvas::PixelCanvas,
configuration::figureconfig::FigureConfig,
datasets::bardataset::BarDataset,
drawers::drawer::Drawer,
utilities::{axistype::AxisType, orientation::Orientation},
};
/// A grouped bar chart representation, supporting horizontal and vertical orientations.
pub struct GroupBarChart {
/// A collection of datasets to be visualized in the grouped bar chart.
pub datasets: Vec<BarDataset>,
/// Title of the bar chart.
pub title: String,
/// Label for the X-axis.
pub x_label: String,
/// Label for the Y-axis.
pub y_label: String,
/// Orientation of the bar chart (`Horizontal` or `Vertical`).
pub orientation: Orientation,
/// Configuration settings for rendering the chart (e.g., colors, fonts, grid).
pub config: FigureConfig,
}
impl GroupBarChart {
/// Creates a new `GroupBarChart` instance with the specified title, labels, orientation, and configuration.
///
/// # Parameters
/// - `title`: The title of the bar chart.
/// - `x_label`: The label for the X-axis.
/// - `y_label`: The label for the Y-axis.
/// - `orientation`: The orientation of the bar chart (`Horizontal` or `Vertical`).
/// - `config`: The `FigureConfig` containing appearance and behavior settings for the chart.
///
/// # Returns
/// A new `GroupBarChart` instance with an empty dataset.
///
/// # Example
/// ```rust,ignore
/// use dataviz::figure::configuration::figureconfig::FigureConfig;
/// use dataviz::figure::figuretypes::groupbarchart::GroupBarChart;
/// use dataviz::figure::utilities::orientation::Orientation;
///
/// let config = FigureConfig::default();
/// let bar_chart = GroupBarChart::new("Sales Chart", "Year", "Revenue", Orientation::Vertical, config);
/// ```
pub fn new(
title: &str,
x_label: &str,
y_label: &str,
orientation: Orientation,
config: FigureConfig,
) -> Self {
Self {
datasets: Vec::new(),
title: title.to_string(),
x_label: x_label.to_string(),
y_label: y_label.to_string(),
orientation,
config,
}
}
/// Adds a dataset to the grouped bar chart.
///
/// # Parameters
/// - `dataset`: The `BarDataset` to be added to the chart.
///
/// # Example
/// ```rust,ignore
/// use dataviz::figure::datasets::bardataset::BarDataset;
///
/// let dataset = BarDataset::new("Company A", [255, 0, 0]);
/// bar_chart.add_dataset(dataset);
/// ```
pub fn add_dataset(&mut self, dataset: BarDataset) {
self.datasets.push(dataset);
}
/// Draws a horizontal grouped bar chart.
///
/// # Parameters
/// - `canvas`: The `PixelCanvas` to render the bar chart on.
///
/// # Details
/// This method draws a horizontally oriented bar chart with grouped bars.
/// It uses the `FigureConfig` settings for appearance and adjusts the canvas accordingly.
///
/// # Example
/// ```rust,ignore
/// bar_chart.draw_horizontal(&mut canvas);
/// ```
pub fn draw_horizontal(&self, canvas: &mut PixelCanvas) {
canvas.clear();
self.fill_background(canvas, &self.config);
let margin = canvas.margin;
let width = canvas.width;
let height = canvas.height;
let cfg = &self.config;
// Draw the title
self.draw_title(canvas, cfg, width / 2, margin / 2, &self.title);
// Get unique y-axis values
let unique_y_values: Vec<u32> = self
.datasets
.iter()
.flat_map(|dataset| dataset.data.iter().map(|(y, _)| *y as u32))
.collect::<std::collections::BTreeSet<_>>()
.into_iter()
.collect();
let y_count = unique_y_values.len();
let (x_min, x_max) = self
.datasets
.iter()
.flat_map(|dataset| dataset.data.iter().map(|&(_, y)| y))
.fold((0.0_f64, 0.0_f64), |(min, max), y| (min.min(y), max.max(y)));
// Adjust limits to include (0, 0)
let x_min = x_min.min(0.0);
// Calculate scales
let scale_y = (height - 2 * margin) as f64 / y_count as f64;
let scale_x = (width - 2 * margin) as f64 / x_max;
// Draw grids
self.draw_grid(canvas, cfg);
// Draw axes
let origin_x = margin;
let origin_y = height - margin;
self.draw_label(canvas, cfg, width - margin / 2, origin_y, &self.y_label);
self.draw_label(canvas, cfg, margin, margin / 2, &self.x_label);
// X-axis ticks
let x_tick_step = (x_max - x_min) / cfg.num_axis_ticks as f64;
for i in 0..=cfg.num_axis_ticks {
let value_x = x_min + i as f64 * x_tick_step;
let tick_x = origin_x + ((value_x - x_min) * scale_x) as u32;
let value_label = format!("{value_x:.1}");
self.draw_axis_value(canvas, cfg, tick_x, origin_y, &value_label, AxisType::AxisX);
}
// Draw grouped horizontal bars
let group_height = scale_y * 0.8; // Height of each group
let bar_height = group_height / self.datasets.len() as f64; // Height of each bar
for (group_index, y_label) in unique_y_values.iter().enumerate() {
let group_center_y = origin_y - ((group_index as f64 + 0.5) * scale_y) as u32;
self.draw_axis_value(
canvas,
cfg,
origin_x - 10,
group_center_y,
&y_label.to_string(),
AxisType::AxisY,
);
// Draw bars for each company in the group
for (company_index, dataset) in self.datasets.iter().enumerate() {
if let Some(&(_, value)) = dataset
.data
.iter()
.find(|(y, _)| (*y as u32).to_string() == y_label.to_string())
{
let bar_length = (value * scale_x) as u32;
let bar_top = group_center_y - (group_height / 2.0) as u32
+ (company_index as f64 * bar_height) as u32;
let bar_bottom = bar_top + bar_height as u32;
for x in origin_x..(origin_x + bar_length) {
for y in bar_top..bar_bottom {
canvas.draw_pixel(x, y, dataset.color);
}
}
}
}
}
canvas.draw_vertical_line(margin, cfg.color_axis);
canvas.draw_horizontal_line(height - margin, cfg.color_axis);
// Draw legend
self.draw_legend(canvas);
}
/// Draws a vertical grouped bar chart.
///
/// # Parameters
/// - `canvas`: The `PixelCanvas` to render the bar chart on.
///
/// # Details
/// This method draws a vertically oriented bar chart with grouped bars.
/// It uses the `FigureConfig` settings for appearance and adjusts the canvas accordingly.
///
/// # Example
/// ```rust,ignore
/// bar_chart.draw_vertical(&mut canvas);
/// ```
pub fn draw_vertical(&self, canvas: &mut PixelCanvas) {
canvas.clear();
self.fill_background(canvas, &self.config);
let margin = canvas.margin;
let width = canvas.width;
let height = canvas.height;
let cfg = &self.config;
// Draw the title
self.draw_title(canvas, cfg, width / 2, margin / 2, &self.title);
// Get unique x-axis values
let unique_x_values: Vec<u32> = self
.datasets
.iter()
.flat_map(|d| d.data.iter().map(|(x, _)| *x as u32))
.collect::<std::collections::BTreeSet<_>>()
.into_iter()
.collect();
let x_count = unique_x_values.len();
let y_max = self
.datasets
.iter()
.flat_map(|d| d.data.iter().map(|(_, y)| *y))
.fold(0.0_f64, |max, y| max.max(y));
// Calculate scales
let scale_x = (width - 2 * margin) as f64 / x_count as f64;
let scale_y = (height - 2 * margin) as f64 / y_max;
let origin_x = margin;
let origin_y = height - margin;
// Draw grids
self.draw_grid(canvas, cfg);
// Draw axes
canvas.draw_vertical_line(margin, cfg.color_axis);
canvas.draw_vertical_line(width - margin, cfg.color_axis);
canvas.draw_horizontal_line(height - margin, cfg.color_axis);
canvas.draw_horizontal_line(margin, cfg.color_axis);
// Draw axis labels
self.draw_label(canvas, cfg, width - margin / 2, origin_y, &self.x_label);
self.draw_label(canvas, cfg, margin, margin / 2, &self.y_label);
// Y-axis ticks
let y_tick_step = y_max / cfg.num_axis_ticks as f64;
for i in 0..=cfg.num_axis_ticks {
let value_y = i as f64 * y_tick_step;
let tick_y = origin_y - (value_y * scale_y) as u32;
let value_label = format!("{value_y:.2}");
self.draw_axis_value(
canvas,
cfg,
origin_x - 5,
tick_y,
&value_label,
AxisType::AxisY,
);
}
// Draw x-axis labels and grouped bars
let group_width = scale_x * 0.8; // Width of each group of bars
let bar_width = group_width / self.datasets.len() as f64; // Width of each bar
for (group_index, x_label) in unique_x_values.iter().enumerate() {
let group_center_x = origin_x + (((group_index as f64 + 0.5) * scale_x) as u32);
self.draw_axis_value(
canvas,
cfg,
group_center_x,
origin_y,
&x_label.to_string(),
AxisType::AxisX,
);
// Draw bars for each company in the group
for (company_index, dataset) in self.datasets.iter().enumerate() {
if let Some(&(_, income)) = dataset
.data
.iter()
.find(|(x, _)| (*x as u32).to_string() == x_label.to_string())
{
let bar_height = (income * scale_y) as u32;
let bar_left = group_center_x - (group_width / 2.0) as u32
+ (company_index as f64 * bar_width) as u32;
let bar_right = bar_left + bar_width as u32;
for x in bar_left..=bar_right {
for y in (origin_y - bar_height)..origin_y {
canvas.draw_pixel(x, y, dataset.color);
}
}
}
}
}
// Draw legend
self.draw_legend(canvas);
}
}