utils.LDCPlotter

class utils.LDCPlotter(runs: dict | str | Path | list)

Bases: object

Plotter for lid-driven cavity simulation results.

Handles both single and multiple runs for comparison using HDF5 files.

Parameters:

runsdict, str, Path, or list

Single run or list of runs. Can be: - str/Path: Path to HDF5 file - dict: Dictionary with ‘h5_path’ (and optionally ‘label’) - list: List of any of the above (requires ‘label’ in dicts)

Examples

>>> # Single run
>>> plotter = LDCPlotter('run.h5')
>>> plotter.plot_convergence()

>>> # Multiple runs with labels
>>> plotter = LDCPlotter([
...     {'h5_path': 'run1.h5', 'label': '32x32'},
...     {'h5_path': 'run2.h5', 'label': '64x64'}
... ])

Methods

__init__	Initialize plotter and load data.
plot_convergence	Plot convergence history using seaborn.
plot_pressure	Plot pressure field using matplotlib tricontourf.
plot_velocity_fields	Plot velocity components using matplotlib tricontourf.

Examples using utils.LDCPlotter

Lid-Driven Cavity Flow Visualization

Lid-Driven Cavity Flow Visualization

plot_convergence(output_path: Path | str | None = None, show: bool = False)

Plot convergence history using seaborn.

Automatically handles single or multiple runs using hue.

Parameters:

output_pathPath or str, optional

Path to save figure. If None, figure is not saved.

showbool, default False

Whether to show the plot.

plot_pressure(output_path: Path | str | None = None, show: bool = False)

Plot pressure field using matplotlib tricontourf.

Parameters:

output_pathPath or str, optional

Path to save figure. If None, figure is not saved.

showbool, default False

Whether to show the plot.

plot_velocity_fields(output_path: Path | str | None = None, show: bool = False)

Plot velocity components using matplotlib tricontourf.

Parameters:

output_pathPath or str, optional

Path to save figure. If None, figure is not saved.

showbool, default False

Whether to show the plot.