plot_contour#

FfdSolutionData.plot_contour(quantity='RealizedGain', phi=0, theta=0, title=None, quantity_format='dB10', output_file=None, levels=64, polar=True, max_theta=180, show=True)[source]#

Create a contour plot of a specified quantity in Matplotlib.

Parameters:

quantitystr, optional: Far field quantity to plot. The default is "RealizedGain". Available quantities are: "RealizedGain", "RealizedGain_Phi", "RealizedGain_Theta", "rEPhi", "rETheta", and "rETotal".
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 the file is not exported.
levelsint, optional: Color map levels. The default is 64.
showbool, optional: Whether to show the plot. The default is True. If False, the Matplotlib instance of the plot is shown.
polarbool, optional: Generate the plot in polar coordinates. The default is True. If False, the plot generated is rectangular.
max_thetafloat or int, optional: Maximum theta angle for plotting. The default is 180, which plots the far-field data for all angles. Setting max_theta to 90 limits the displayed data to the upper hemisphere, that is (0 < theta < 90).

Returns:

matplotlib.pyplot.Figure: Matplotlib figure object.

Examples

>>> from ansys.aedt.core
>>> app = ansys.aedt.core.Hfss(version="2024.2", design="Antenna")
>>> setup_name = "Setup1 : LastAdaptive"
>>> frequencies = [77e9]
>>> sphere = "3D"
>>> data = app.get_antenna_data(frequencies,setup_name,sphere)
>>> data.plot_contour()