Achieving matplotlib ggplot-like results using Rust plotters crate

use plotters::prelude::*;
use plotters::style::{RGBColor, ShapeStyle};
use std::error::Error;

const GGPLOT_RED: RGBColor = RGBColor(0xE2, 0x4A, 0x33);

fn main() -> Result<(), Box<dyn Error>> {
    // Create a drawing area and set up the chart
    let root = BitMapBackend::new("sine_wave_plot.png", (1024, 768)).into_drawing_area();
    // overall figure background (keep it white)
    root.fill(&WHITE)?;

    // Define the chart area (we'll make the plotting panel light grey to be the grid background)
    let mut chart = ChartBuilder::on(&root)
        .caption("Sine Wave", ("sans-serif", 30).into_font())
        .margin(24)
        .x_label_area_size(50)
        .y_label_area_size(50)
        .build_cartesian_2d(0f64..2f64 * std::f64::consts::PI, -1.2f64..1.2f64)?;

    // Fill plotting area with a light grey to be the grid background
    // matplotlib ggplot: axes.facecolor = E5E5E5
    chart.plotting_area().fill(&RGBColor(0xE5, 0xE5, 0xE5))?;

    // Configure the mesh (ggplot-like style with subtle grid lines)
    chart.configure_mesh()
        .x_labels(10)
        .y_labels(5)
        .x_label_formatter(&|x| format!("{:.1}π", x / std::f64::consts::PI))
        .y_label_formatter(&|y| format!("{:.1}", y))
        .x_desc("Angle (radians)")
        .y_desc("Amplitude")
        // matplotlib ggplot: axes.labelcolor/xtick.color/ytick.color = 555555
        .label_style(TextStyle::from(("sans-serif", 12).into_font()).color(&RGBColor(0x55, 0x55, 0x55)))
        .axis_desc_style(TextStyle::from(("sans-serif", 16).into_font()).color(&RGBColor(0x55, 0x55, 0x55)))
        // matplotlib ggplot: grid.color = white (major grid); minor grid is off by default
        .max_light_lines(0)
        .bold_line_style(ShapeStyle::from(&WHITE).stroke_width(1))
        .light_line_style(ShapeStyle::from(&WHITE).stroke_width(1))
        // matplotlib ggplot: axes.edgecolor = white, axes.linewidth = 1
        .axis_style(ShapeStyle::from(&WHITE).stroke_width(1))
        // ensure outward ticks (negative would point inward)
        .set_all_tick_mark_size(5)
        .draw()?;

    // Generate sine wave data points
    let mut sine_data = Vec::new();
    for i in 0..=1000 {
        let x = i as f64 * 2.0 * std::f64::consts::PI / 1000.0;
        sine_data.push((x, x.sin()));
    }

    // Draw the sine wave
    chart.draw_series(LineSeries::new(
        sine_data,
        ShapeStyle::from(&GGPLOT_RED).stroke_width(2),
    ))?
    .label("sin(x)")
    .legend(|(x, y)| PathElement::new(vec![(x, y), (x + 20, y)], ShapeStyle::from(&GGPLOT_RED).stroke_width(3)));

    // Draw the legend
    chart.configure_series_labels()
        .background_style(&RGBColor(0xE5, 0xE5, 0xE5).mix(0.9))
        .border_style(&WHITE)
        .label_font(("sans-serif", 14))
        .position(SeriesLabelPosition::UpperRight)
        .draw()?;

    Ok(())
}

[package]
name = "plottest"
version = "0.1.0"
edition = "2021"

[dependencies]
plotters = "0.3.5"

#!/usr/bin/env python3
"""Generate a sine wave plot in ggplot style and save to `sine_wave_plot_py.png`.

Usage:
    python3 plot_sine.py

Install dependencies:
    python3 -m pip install -r requirements.txt
"""

import numpy as np
import matplotlib.pyplot as plt
from matplotlib.ticker import FuncFormatter

plt.style.use("ggplot")

# Data
x = np.linspace(0, 2 * np.pi, 1000)
y = np.sin(x)

# Figure sized to approximate 1024x768 at 100 DPI
fig, ax = plt.subplots(figsize=(10.24, 7.68))
ax.plot(x, y, color="red", alpha=0.8, linewidth=2, label="sin(x)")

# Format x-ticks in multiples of π
def pi_label(value, _pos):
    val = value / np.pi
    if abs(val) < 1e-6:
        return "0"
    return f"{val:.1f}π"

ax.xaxis.set_major_locator(plt.MaxNLocator(10))
ax.xaxis.set_major_formatter(FuncFormatter(pi_label))

# Labels, title, legend
ax.set_xlabel("Angle (radians)", fontsize=16)
ax.set_ylabel("Amplitude", fontsize=16)
ax.set_title("Sine Wave", fontsize=24, fontweight="bold")
ax.legend(fontsize=12)

# Grid and layout
ax.grid(True)
plt.tight_layout()

# Save file
plt.savefig("sine_wave_plot_py.png", dpi=100)
# Uncomment to display interactively
# plt.show()