code: def eeg_name_frequencies(freqs):
      
      freqs = list(freqs)
      freqs_names = []
      for freq in freqs:
          if freq < 1:
              freqs_names.append("UltraLow")
          elif freq <= 3:
              freqs_names.append("Delta")
          elif freq <= 7:
              freqs_names.append("Theta")
          elif freq <= 9:
              freqs_names.append("Alpha1/Mu")
          elif freq <= 12:
              freqs_names.append("Alpha2/Mu")
          elif freq <= 13:
              freqs_names.append("Beta1/Mu")
          elif freq <= 17:
              freqs_names.append("Beta1")
          elif freq <= 30:
              freqs_names.append("Beta2")
          elif freq <= 40:
              freqs_names.append("Gamma1")
          elif freq <= 50:
              freqs_names.append("Gamma2")
          else:
              freqs_names.append("UltraHigh")
      return(freqs_names)
docs: Name frequencies according to standart classifications.
  
      Parameters
      ----------
      freqs : list or numpy.array
          list of floats containing frequencies to classify.
  
      Returns
      ----------
      freqs_names : list
          Named frequencies
  
      Example
      ----------
      >>> import neurokit as nk
      >>>
      >>> nk.eeg_name_frequencies([0.5, 1.5, 3, 5, 7, 15])
  
      Notes
      ----------
      *Details*
  
      - Delta: 1-3Hz
      - Theta: 4-7Hz
      - Alpha1: 8-9Hz
      - Alpha2: 10-12Hz
      - Beta1: 13-17Hz
      - Beta2: 18-30Hz
      - Gamma1: 31-40Hz
      - Gamma2: 41-50Hz
      - Mu: 8-13Hz
  
      *Authors*
  
      - Dominique Makowski (https://github.com/DominiqueMakowski)
  
      References
      ------------
      - None