Modules.CurveBoxplot package

Submodules

Modules.CurveBoxplot.curve_boxplot module

Modules.CurveBoxplot.curve_boxplot.curve_boxplot(curves, curve_depths=None, percentile=50, ax=None, color_map='viridis', median_color='red', alpha=1.0)

Create a curve band depth plot using the provided curves and their depths.

Parameters:

curvesnumpy.ndarray

3D array of shape (n_curves, n_steps, n_dims) containing curve data

curve_depthsnumpy.ndarray

1D array of shape (n_curves,) containing the depth of each curve

percentilefloat

The percentile for the band to be highlighted (default is 50)

axmatplotlib.axes.Axes, optional

The axes to plot on (default is None, which creates a new figure)

color_mapstr

The colormap to use for the mesh (default is ‘viridis’)

median_colorstr

The color to use for the median curve (default is ‘red’)

alphafloat

The transparency level for the mesh (default is 1.0)

Returns:

axmatplotlib.axes.Axes

The axes with the plot.

Modules.CurveBoxplot.curve_boxplot_mesh module

Modules.CurveBoxplot.curve_boxplot_mesh.curves_band_mesh(sorted_curves, percentile=50)

Build a mesh for the curve band depth plot.

Parameters:

sorted_curvesnumpy.ndarray

3D array of shape (n_curves, n_steps, n_dims) containing curve data sorted by depth (deepest first)

percentilefloat, optional

Percentile for the band to be highlighted. Default is 50 (median band).

Returns:

pointsnumpy.ndarray

2D array of shape (n_points, n_dims) containing the points of the mesh.

trianglesnumpy.ndarray

2D array of shape (n_triangles, 3) containing the indices of the points forming the triangles.

Modules.CurveBoxplot.curve_boxplot_stats module

Modules.CurveBoxplot.cuve_boxplot_vis module

Modules.CurveBoxplot.cuve_boxplot_vis.matplotlib_curve_boxplot_vis(points, triangles, median_curve, curve_dim, ax=None, color_map='viridis', median_color='red', alpha=1.0)

Module contents

Curve_Boxplot Module

This module provides curve-based boxplot functionality for uncertainty visualization.