percentile_curve_plot

Plot scores ranked by percentile with optional normalization, reference lines, highlighting, and customizable font sizes.

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📥 Arguments

Name	Type	Required	Description
scores	Union[pd.Series, pd.DataFrame]	✅	Scores as a pandas Series or single-column DataFrame.
column	str	❌	Column name if scores is a multi-column DataFrame.
normalize_scores	bool	❌	Normalize scores to [0,1]. Default: True.
normalize_percentiles	bool	❌	Normalize percentiles to [0,1]. Default: True.
horizontal_markers	List[Tuple[float,str]]	❌	List of (y_value, label) for horizontal lines.
vertical_markers	List[Tuple[float,str]]	❌	List of (x_value, label) for vertical lines.
highlight_top_n	int	❌	Number of top scores to shade. Default: None.
highlight_color	str	❌	Color for highlight region. Default: ‘#c8e6c9’.
highlight_label	str	❌	Text label in highlight. Default: None.
highlight_label_color	str	❌	Color of highlight label text. Default: ‘green’.
highlight_label_font_size	int	❌	Font size for highlight label text. Default: fontsize.
vertical_label_offset	float	❌	Offset above vertical marker. Default: 0.02.
xlabel	str	❌	X-axis label. Default: ‘Percentile’.
ylabel	str	❌	Y-axis label. Default: ‘Score’.
title	str	❌	Plot title. Default: None.
font_family	str	❌	Font family. Default: ‘Times New Roman’.
fontsize	int	❌	Base font size for ticks, labels, title, and marker text. Default: 14.
figsize	tuple	❌	Figure size. Default: (8, 5).
save	str	❌	Base filename to save PNG/PDF if provided.

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📦 Example Output

Click to show example code

# Example code for |percentile_curve_plot| not found.