uvisbox.Modules.ContourBoxplot.contour_boxplot_vis
==================================================

.. py:module:: uvisbox.Modules.ContourBoxplot.contour_boxplot_vis




Module Contents
---------------

.. py:function:: visualize_contour_boxplot(mesh_data, boxplot_style=None, ax=None)

   Visualize contour boxplot using imshow for percentile bands and contour for median/outliers.

   :param mesh_data: Dictionary from contour_boxplot_mesh containing:
                     - 'percentile_bands_image': 2D array with aggregated percentile band values
                     - 'median': Binary image for median contour
                     - 'outliers': List of binary images for outlier contours
   :type mesh_data: dict
   :param boxplot_style: Configuration for visualization including colormap, median/outlier styling.
                         If None, uses default configuration.
   :type boxplot_style: BoxplotStyleConfig, optional
   :param ax: Matplotlib Axes object to plot on. If None, creates new figure and axes.
   :type ax: matplotlib.axes.Axes, optional

   :returns: **ax** -- The Axes object with the contour boxplot visualization.
   :rtype: matplotlib.axes.Axes

   .. rubric:: Notes

   - Uses ax.imshow() to display the aggregated percentile bands with colormap
   - Uses ax.contour() at isovalue 0.5 to plot median and outlier contour lines
   - Colorbar shows percentile values from 0-100
   - Legend indicates median and outliers

   .. rubric:: Examples

   >>> stats = contour_boxplot_summary_statistics(ensemble, isovalue=0.5)
   >>> mesh_data = contour_boxplot_mesh(stats)
   >>> ax = visualize_contour_boxplot(mesh_data)