code: def ecdf(signal, d=10):
      """Computes the values of ECDF (empirical cumulative distribution function) along the time axis.
  
      Feature computational cost: 1
  
      Parameters
      ----------
      signal : nd-array
          Input from which ECDF is computed
      d: integer
          Number of ECDF values to return
  
      Returns
      -------
      float
          The values of the ECDF along the time axis
      """
      _, y = calc_ecdf(signal)
      if len(signal) <= d:
          return tuple(y)
      else:
          return tuple(y[:d])
  
imports: import scipy.signal
  from tsfel.feature_extraction.features_utils import *
label_desc: Use image node_id 32 for calling a global function with example usage: ecdf(signal, d) and returns: tuple, tuple