Select Plot Backends

PowerGraphics.jl supports two plotting backends through Julia package extensions. Load the backend you want before or alongside PowerGraphics:

• CairoMakie (recommended): static, publication-quality plots — using CairoMakie
• PlotlyLight: lightweight interactive HTML plots — using PlotlyLight

using CairoMakie   # or PlotlyLight
using PowerGraphics
using PowerAnalytics

If neither backend is loaded, PowerGraphics prints a warning at load time and plotting functions throw an ArgumentError when called.

API selects the backend

Choose the function name to choose the backend:

• Unsuffixed functions (e.g. plot_powerdata, plot_fuel, plot_demand, plot_dataframe) use CairoMakie
• *_plotly variants (e.g. plot_powerdata_plotly, plot_fuel_plotly) use PlotlyLight

# where `gen` is a PowerAnalytics.PowerData from get_generation_data(res)
plot_powerdata(gen)           # CairoMakie
plot_powerdata_plotly(gen)    # PlotlyLight

Mutating ! forms (plot_powerdata!, plot_fuel!, …) overlay series onto an existing plot handle from the same backend family.

Saving plots

Use save_plot (or the save / format kwargs on plot calls):

• CairoMakie: "png", "pdf", "svg"
• PlotlyLight: "html" (other extensions are written as .html with a warning)

p = plot_fuel(res)
save_plot(p, "fuel.png")

p = plot_fuel_plotly(res)
save_plot(p, "fuel.html")

Reports

report (requires Weave.jl plus a plotting backend) builds HTML or PDF summaries from a .jmd template. Choose the plot backend with the backend keyword (CairoMakieBackend() or PlotlyLightBackend()):

using Weave
report(
    res,
    out_path,
    template;
    doctype = "md2pdf",
    backend = PowerGraphics.CairoMakieBackend(),
)

See the Gallery for CairoMakie plot archetypes, Plot styling keywords for shared plot options, and the Public API for function-specific keywords.