add_results_to_plot#

SamplingPoint.add_results_to_plot(axes, components, spots=(Spot.BOTTOM, Spot.TOP), core_scale_factor=1.0, title='', xlabel='')#

Add results (strain, stress, or failure values) to an Axes object.

Parameters:

  • axes (Any) – Matplotlib Axes object.

  • components (Sequence[str]) – List of result components. Valid components for strain are "e1", "e2", "e3", "e12", "e13", and "e23" Valid components for stress are "s1", "s2", "s3", "s12", "s13", and "s23". Valid components for failure are "inverse_reserve_factor", "reserve_factor", and "margin_of_safety".

  • spots (Collection[Spot], default: (<Spot.BOTTOM: 1>, <Spot.TOP: 3>)) – Collection of spots (interfaces).

  • core_scale_factor (float, default: 1.0) – Factor for scaling the thickness of core plies.

  • title (str, default: '') – Title of the plot. This parameter is ignored if empty.

  • xlabel (str, default: '') – Becomes the label of the x-axis. This parameter is ignored if empty.

Examples

>>> import matplotlib.pyplot as plt
>>> fig, ax1 = plt.subplots()
>>> sampling_point.add_results_to_plot(ax1,
                                      ["s13", "s23", "s3"],
                                      [Spot.BOTTOM, Spot.TOP],
                                      0.1, "Interlaminar Stresses", "[MPa]")
Return type:

None