Every SeraPlot function returns a Chart object — a thin wrapper around a complete, standalone HTML string.

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Properties

chart = sp.build_bar_chart("Title", labels=["A", "B"], values=[1.0, 2.0])
print(type(chart.html))   # <class 'str'>
print(len(chart.html))    # typically 20,000–90,000 bytes

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Auto-display in Jupyter

Charts display automatically when created inside a Jupyter cell. No display() call needed.

To disable:

sp.set_auto_display(False)
chart = sp.build_bar_chart("My Chart", labels=["A"], values=[1.0])

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Manual display

you don't need anything, you just do make your chart, seraplot has a native display inside

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Export to file

chart.save("output.html")
# or
with open("output.html", "w", encoding="utf-8") as f:
    f.write(chart.html)

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Method chaining

chart = (
    sp.build_bar_chart("Sales", labels, values)
    .set_bg("#1e1e2e")
    .show_grid()
    .no_legend()
    .set_font_size(14)
)

See Chart Methods for the full reference.

chart = sp.build_bar_chart("Titre", labels=["A", "B"], values=[1.0, 2.0])
print(len(chart.html))    # typiquement 20 000 à 90 000 octets

sp.set_auto_display(False)

chart.save("sortie.html")
# ou
with open("sortie.html", "w", encoding="utf-8") as f:
    f.write(chart.html)

chart = (
    sp.build_bar_chart("Ventes", labels, values)
    .set_bg("#1e1e2e")
    .show_grid()
    .no_legend()
    .set_font_size(14)
)