plot_cut#

FfdSolutionData.plot_cut(quantity='RealizedGain', primary_sweep='phi', secondary_sweep_value=0, phi=0, theta=0, title='Far Field Cut', quantity_format='dB10', output_file=None, show=True, is_polar=False, show_legend=True)#

Create a 2D plot of a specified quantity in Matplotlib.

Parameters:

quantitystr, optional: Quantity to plot. The default is "RealizedGain". Available quantities are: "RealizedGain", "RealizedGain_Theta", "RealizedGain_Phi", "rETotal", "rETheta", and "rEPhi".
primary_sweepstr, optional.: X-axis variable. The default is "phi". Options are "phi" and "theta".
secondary_sweep_valuefloat, list, str, optional: List of cuts on the secondary sweep to plot. The default is 0. Options are “all”, a single value float, or a list of float values.
phifloat, int, optional: Phi scan angle in degrees. The default is 0.
thetafloat, int, optional: Theta scan angle in degrees. The default is 0.
titlestr, optional: Plot title. The default is "RectangularPlot".
quantity_formatstr, optional: Conversion data function. Available functions are: "abs", "ang", "dB10", "dB20", "deg", "imag", "norm", and "real".
output_filestr, optional: Full path for the image file. The default is None, in which case an image in not exported.
showbool, optional: Whether to show the plot. The default is True. If False, the Matplotlib instance of the plot is shown.
is_polarbool, optional: Whether this plot is a polar plot. The default is True.
show_legendbool, optional: Whether to display the legend or not. The default is True.

Returns:

ansys.aedt.core.visualization.plot.matplotlib.ReportPlotter: Matplotlib figure object. If show=True, a Matplotlib figure instance of the plot is returned. If show=False, the plotted curve is returned.

Examples

>>> from ansys.aedt.core
>>> app = ansys.aedt.core.Hfss(version="2023.2", design="Antenna")
>>> setup_name = "Setup1 : LastAdaptive"
>>> frequencies = [77e9]
>>> sphere = "3D"
>>> data = app.get_antenna_data(frequencies,setup_name,sphere)
>>> data.plot_cut(theta=20)