plot.contour.contourf_plot

plot.contour.contourf_plot(
    data,
    x_col,
    y_col,
    z_col,
    facet_col=None,
    aspect=1,
    as_table=True,
    figsize=(4, 4),
    levels=10,
    cmap='viridis',
    show_contour_lines=True,
    contour_line_color='black',
    contour_line_width=0.5,
    colorbar_orientation='vertical',
    wspace=0.4,
    hspace=0.4,
    highlight_point=None,
    highlight_color='red',
    highlight_marker='x',
    highlight_size=100,
)

Creates contour plots (single or faceted) using matplotlib.

Parameters

Name	Type	Description	Default
data	pd.DataFrame	Data for plotting.	required
x_col	str	Column name for x-axis.	required
y_col	str	Column name for y-axis.	required
z_col	str	Column name for z-axis (values).	required
facet_col	str	Column name for faceting.	None
aspect	float	Aspect ratio.	1
as_table	bool	If True, arranges facets in a table.	True
figsize	tuple	Figure size per plot key (if not faceted) or base.	(4, 4)
levels	int	Number of contour levels.	10
cmap	str	Colormap.	'viridis'
show_contour_lines	bool	Whether to show contour lines.	True
contour_line_color	str	Color of contour lines.	'black'
contour_line_width	float	Width of contour lines.	0.5
colorbar_orientation	str	‘vertical’ or ‘horizontal’.	'vertical'
wspace	float	Width reserved for space between subplots.	0.4
hspace	float	Height reserved for space between subplots.	0.4
highlight_point	dict - like	Point to highlight. Must contain x_col, y_col keys. If faceted, must contain facet_col key.	None
highlight_color	str	Color of the highlight point.	'red'
highlight_marker	str	Marker style for the highlight point.	'x'
highlight_size	int	Size of the highlight point.	100