pyrtlib.weighting_functions.WeightingFunctions.plot_wf#
- WeightingFunctions.plot_wf(wgt: ndarray, title: Optional[str] = '', ylim: Optional[Tuple[int, int]] = None, xlim: Optional[Tuple[int, int]] = None, legend: Optional[bool] = True, normalized: Optional[bool] = False, **kwargs) None #
Plot the weighting functions
- Parameters:
wgt (ndarray) – The weighting functions to be plotted.
title (Optional[str], optional) – The title of the plot. Defaults to ‘’.
ylim (Optional[Tuple[int, int]], optional) – The y-axis limits of the plot. Defaults to None.
xlim (Optional[Tuple[int, int]], optional) – The x-axis limits of the plot. Defaults to None.
legend (Optional[bool], optional) – Whether to show the legend. Defaults to True.
normalized (Optional[bool], optional) – Whether to normalize to the max the weighting functions. Defaults to False.
**kwargs – Additional keyword arguments (figsize, dpi)
Examples using pyrtlib.weighting_functions.WeightingFunctions.plot_wf
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Computation of Weighting Functions
Computation of Weighting Functions