display_gradients

display_gradients#

mrinufft.trajectories.display.display_gradients(trajectory, shot_ids=(0,), figsize=5, fill_area=True, show_norm=True, uni_signal='gray', uni_gradient=None, subfigure=None, show_constraints=False, acq=None, constraints_order=None)[source]#

Display gradients based on trajectory of any dimension.

Parameters:

  • trajectory (NDArray) – Trajectory to display.

  • shot_ids (list of int) – Indices of the shots to display. The default is (0,).

  • figsize (float, optional) – Size of the figure.

  • fill_area (bool, optional) – Fills the area under the curve for improved visibility and representation of the integral, aka trajectory. The default is True.

  • show_norm (bool, optional) – Show an additional illustration of the signal as the modulated distance to the center. The default is True.

  • uni_signal (str or None, optional) – Define whether the signal should be represented by a unique color given as argument or just by the default color cycle when None. The default is “gray”.

  • uni_signal – Define whether the gradients should be represented by a unique color given as argument or just by the default color cycle when None. The default is None.

  • subfigure (plt.Figure or plt.SubFigure, optional) – The figure where the trajectory should be displayed. The default is None.

  • show_constraints (bool, optional) – Display the points where the gradients and slew rates are above the gmax and smax limits, respectively. The default is False.

  • acq (Acquisition, optional) – Acquisition configuration to use. If None, the default acquisition is used.

  • constraint_order (int, str, optional) – Norm order defining how the constraints are checked, typically 2 or np.inf, following the numpy.linalg.norm conventions on parameter ord. The default is None.

  • uni_gradient (str | None)

  • constraints_order (int | str | None)

Returns:

axes – Axes of the figure.

Return type:

plt.Axes

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