code: def create_xx(features):
      """Computes the range of features amplitude for the probability density function calculus.
  
      Parameters
      ----------
      features : nd-array
          Input features
  
      Returns
      -------
      nd-array
          range of features amplitude
  
      """
  
      features_ = np.copy(features)
  
      if max(features_) < 0:
          max_f = -max(features_)
          min_f = min(features_)
      else:
          min_f = min(features_)
          max_f = max(features_)
  
      if min(features_) == max(features_):
          xx = np.linspace(min_f, min_f + 10, len(features_))
      else:
          xx = np.linspace(min_f, max_f, len(features_))
  
      return xx
  
file_path: tsfel/tsfel/feature_extraction/features_utils.py
imports: import scipy
  import numpy
label_desc: Use image node_id 8 for calling a global function with example usage: create_xx(features) and returns: xx