code: def plot(self, factors=None):
      """Plotting for Regional Sensitivity Analysis.
  
      Overrides the plot method attached to the SALib problem spec.
      """
      import matplotlib.pyplot as plt
  
      Si_df = self.to_df()
      fig, ax = plt.subplots()
  
      xlabel = f"${self['target']}$ (Percentile)"
      ylabel = "$CvM_{i}$"
  
      if factors is None:
          factors = slice(None)
  
      with warnings.catch_warnings():
          warnings.simplefilter("ignore")
          ax = Si_df.loc[:, factors].plot(
              ax=ax,
              xlabel=xlabel,
              ylabel=ylabel,
              subplots=True,
              legend=False,
              sharey=True,
              sharex=True,
          )
  
      fig.legend(bbox_to_anchor=(1.1, 1.0))
      fig.tight_layout()
  
      return ax
  
file_path: SALib/src/SALib/analyze/rsa.py
imports: from typing import Dict
  from types import MethodType
  import warnings
  import numpy
  import pandas
  from scipy.stats import cramervonmises_2samp
  from .None import common_args
  from ..util import read_param_file, ResultDict, extract_group_names, _check_groups
label_desc: Use image node_id 5 for calling a global function with example usage: plot(factors) and returns: ax