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:
  • (ndarray) (wgt) –

  • (Optional[str] (title) –

  • optional) (Whether to normalize to the max the weighting functions. Defaults to False.) –

  • (Optional[Tuple[int (xlim) –

  • int]] (The x-axis limits of the plot. Defaults to None.) –

  • optional) –

  • (Optional[Tuple[int –

  • int]] –

  • optional) –

  • (Optional[bool] (normalized) –

  • optional) –

  • (Optional[bool] –

  • optional) –

  • **kwargs (Additional keyword arguments (figsize, dpi)) –

Examples using pyrtlib.weighting_functions.WeightingFunctions.plot_wf#

Computation of Weighting Functions

Computation of Weighting Functions