plot_range_angle_map#
- FRTMPlotter.plot_range_angle_map(frame: int = None, pulse: int = None, window: str = None, range_bins: int = None, cross_range_bins: int = None, doa_method: str = None, field_of_view=None, dynamic_range=None, quantity_format: str = None, polar: bool = False, title: str = 'Angle vs Range (Azimuth)', output_file: str = None, show: bool = True, show_legend: bool = True, size: tuple = (1920, 1440), figure=None)#
Create range-angle map contour plot.
- Parameters:
- frame
int,optional Frame number. The default is
None, in which case all frames are used.- pulse: int, optional
Index of the pulse to extract. The default is
Nonein which case the center pulse (middle index) is used.- window: str, optional
Type of window. The default is
None. Available options are"Hann","Hamming", and"Flat".- range_bins
int,optional Number of bins to use in the range (frequency) dimension. If
None, number of channels is used.- cross_range_bins
int,optional Number of bins in the angular (azimuth) dimension. If
None,181bins are used.- doa_method
str,optional Method used for direction of arrival estimation. Available options are:
"Bartlett","Capon", and"Music". The default isNone, in which case"Bartlett"is selected.- field_of_view
list,optional Azimuth angular span in degrees to plot. The default is
[-90, 90].- dynamic_range
float,optional - Dynamic range in dB.
If provided, the color map is clipped between the max power and max - dynamic_range.
- quantity_format
str,optional Conversion data function. The default is
None. Available functions are:"abs","ang","dB10","dB20","deg","imag","norm", and"real".- polarbool,
optional Generate the plot in polar coordinates. The default is
True. IfFalse, the plot generated is rectangular.- title
str,optional Title of the plot. The default is
"Range profile".- output_file
strorpathlib.Path,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. IfFalse, the Matplotlib instance of the plot is shown.- show_legendbool,
optional Whether to display the legend or not. The default is
True.- size
tuple,optional Image size in pixel (width, height).
- figure
matplotlib.pyplot.Figure,optional An existing Matplotlib Figure to which the plot is added. If not provided, a new Figure and Axes objects are created. Default is
None.
- frame
- Returns:
ansys.aedt.core.visualization.plot.matplotlib.ReportPlotterPyAEDT matplotlib figure object.
Examples
>>> from ansys.aedt.core.visualization.advanced.frtm_visualization import get_results_files >>> from ansys.aedt.core.visualization.advanced.frtm_visualization import FRTMData >>> from ansys.aedt.core.visualization.advanced.frtm_visualization import FRTMPlotter >>> output_directory = "directory.results" >>> frames_dict = get_results_files(directory) >>> for frame, data_frame in frames_dict.items(): >>> doppler_data = FRTMData(data_frame) >>> data[frame] = doppler_data >>> frtm_plotter = FRTMPlotter(data) >>> frame_number = frtm_plotter.frames[0] >>> frtm_plotter.plot_range_angle_map(frame=frame_number) >>> frtm_plotter.plot_range_angle_map(output_file="range_angle_map.gif", animation=True, show=False)