pylbo.visualisation.modes.cartesian_3d

Module Contents

Classes

CartesianSlicePlot3D

Class for handling Cartesian 3D plots of the eigenmode solution.

class pylbo.visualisation.modes.cartesian_3d.CartesianSlicePlot3D(data: pylbo.visualisation.modes.mode_data.ModeVisualisationData, u2: numpy.ndarray, u3: numpy.ndarray, time: float, slicing_axis: str, figsize: tuple[int, int], vmin: float = None, vmax: float = None, **kwargs)

Bases: pylbo.visualisation.modes.cartesian_2d.CartesianSlicePlot2D

Class for handling Cartesian 3D plots of the eigenmode solution.

Parameters:

• data (ModeVisualisationData) – The data for the visualisation.

• u2 (np.ndarray) – The \(y\) coordinate of the eigenmode solution.

• u3 (np.ndarray) – The \(z\) coordinate of the eigenmode solution.

• time (float) – The time at which the eigenmode solution is calculated.

• slicing_axis (str) – The axis along which the eigenmode solution is sliced.

• figsize (tuple[int, int]) – The size of the figure.

• vmin (float) – The minimum value of the colourbar. If None, the minimum value of the solution is used.

• vmax (float) – The maximum value of the colourbar. If None, the maximum value of the solution is used.

_create_figure_layout(figsize: tuple[int, int]) → tuple[matplotlib.figure.Figure, dict]

_create_cbar_axes(width: float) → matplotlib.axes.Axes

_validate_u2(u2: numpy.ndarray, *args, **kwargs) → numpy.ndarray

_validate_u3(u3: numpy.ndarray, *args, **kwargs) → numpy.ndarray

set_plot_arrays() → None

calculate_mode_solution(efdata: numpy.ndarray, u2: numpy.ndarray, u3: numpy.ndarray, t: numpy.ndarray) → numpy.ndarray

draw_eigenfunction() → None

draw_solution() → None

add_axes_labels() → None

draw_textboxes() → None

_clear_contours() → None

_update_view(updated_solution: numpy.ndarray) → None

_update_view_clims(solution: numpy.ndarray) → None

_set_t_txt(t)