rekha.plots.ScatterPlot

class rekha.plots.ScatterPlot

Create a scatter plot.

Parameters:

• trendline (str, optional) – Type of trendline (‘ols’ for linear regression)

• color_continuous_scale (str, optional) – Colormap for numerical color mapping

• size_max (float, default 200) – Maximum point size for numerical sizing

• point_size (float, default 100) – Base point size

• alpha (float, default 0.7) – Point transparency

• **kwargs – Additional parameters passed to BasePlot

Methods

add_annotation(text, x, y, **kwargs)	Add annotation to the plot.
get_axes()	Get all axes from the figure.
save(filename[, format, transparent])	Save the plot to file with optimized settings for different use cases.
save_all_formats(base_name, **kwargs)	Save plot in all common formats for different use cases.
show()	Display the plot in the current output (Jupyter notebook, script, etc.).
show_legend()	Manually show the legend with appropriate styling.
update_layout(**kwargs)	Update plot layout - matplotlib style.

__init__(data=None, x=None, y=None, color: str | None = None, size: str | List | ndarray | None = None, shape: str | None = None, trendline: str | None = None, color_continuous_scale: str | None = None, size_max: float = 200, point_size: float = 100, alpha: float = 0.7, **kwargs)

Create a scatter plot.

Parameters:

• trendline (str, optional) – Type of trendline (‘ols’ for linear regression)

• color_continuous_scale (str, optional) – Colormap for numerical color mapping

• size_max (float, default 200) – Maximum point size for numerical sizing

• point_size (float, default 100) – Base point size

• alpha (float, default 0.7) – Point transparency

• **kwargs – Additional parameters passed to BasePlot