Scatter(
title: "Generic Polynomial Best Fit",
canvas_pixel_size: (840, 600),
x_axis_label: "Time (ms)",
x_axis_resolution: 11, // Number of times the x-axis will be divided to show your data scale. Advised to make it a ratio of your largest x value
y_axis_label: "Energy (kJ)",
y_axis_resolution: 11, // Number of times the y-axis will be divided to show your data scale. Advised to make it a ratio of your largest y value
has_grid: false, // Should the graph have a light grey background grid
has_legend: false, // should a legend be generated? Only really useful with multiple data sets
// data sets can be sourced from the same csv or from different ones and each can be configured with different colours/symbols
data_sets: [
DataSet(
data_path: "scatter.csv",
has_headers: true, // if your data has headers set to `true` so they can be ignored
x_axis_csv_column: 0, // which column contains the x values
x_axis_error_bar_csv_column: None, // which column contains x uncertainty Some(usize) or None
y_axis_csv_column: 1, // which column contains the y values
y_axis_error_bar_csv_column: None, // which column contains y uncertainty Some(usize) or None
name: "Very interesting", // legend will indicate which colour and symbol correspond to which data set
colour: White, // the colour to render a data point
symbol: Point, // the shape a plotted data point should take
symbol_radius: 5, // The size of a drawn symbol in (1+ symbol_radius) pixels
symbol_thickness: 0, // The thinkness of a drawn symbol in (1 + symbol_thickness) pixels
best_fit: Some(GenericPolynomial(coefficients: {0: 1.0, 1: 1.0, 2: 1.0, 3: 1.0, 4: -1.0}, colour: Black)), // A curve to fit to the axes. Some(BestFit) or None
),
],
)
