API reference

Every public name in numeraire_graphics. Plot functions return a ggplot; helpers compose onto a figure or save it. See the Gallery for what each figure looks like.

Plots

plot_cumulative	Cumulative-return and drawdown curves from per-date strategy-return rows.
plot_rolling	A rolling statistic of the per-date strategy returns (default rolling Sharpe).
plot_metric_by	A bar chart of a summary metric across a grouping column x (method, universe, ...).
plot_complexity_curve	A summary metric plotted against a numeric complexity axis x.
plot_ic_decay	The information coefficient plotted against a caller-assembled forecast-horizon axis.
plot_weights_heatmap	A date x asset portfolio-weight matrix as a heatmap, signed long/short about zero.
plot_factor_loadings	Factor-loading paths over an axis, or a loadings heatmap when no axis is given.
plot_frontier	A mean-variance efficient frontier, optionally overlaid with named portfolios.

Themes, scales, and saving

theme_numeraire	The house theme: a clean, publication-oriented look on a matplotlib base.
scale_color_numeraire	A colourblind-safe discrete colour scale (Okabe-Ito by default).
scale_fill_numeraire	The fill counterpart of scale_color_numeraire(), discrete or diverging.
save_paper	Save plot at an exact centimetre size for a paper, under a print font profile.
mean_variance_frontier	Trace a risk-return efficient frontier from a mean vector and covariance (numpy only).