code: def whelch_method(data, param=whelch_param):
      final = []
      for Fs in param:
          f, pxx = signal.welch(data, fs=Fs, nperseg=1024)
          d = {"psd": pxx, "freqs": f}
          df = pd.DataFrame(data=d)
          dfs = df.sort_values(["psd"], ascending=False)
          rows = dfs.iloc[:10]
          final.append(rows["freqs"].mean())
  
      return [
          ("Fs_{}".format(pa), fin) for pa, fin in zip(param, final)
      ]
  
imports: import pandas
  import numpy
  from statsmodels.tsa.stattools import acf, adfuller, pacf
  import itertools
  from statsmodels.tsa.ar_model import AR
  from scipy.signal import cwt, find_peaks_cwt, ricker, welch
  from scipy.stats import linregress
  import scipy.stats
  from scipy.stats import kurtosis
  from scipy.stats import skew
  import numpy
  from scipy import signal, integrate
  from scipy.interpolate import interp1d
  import math
  from statsmodels.tools.sm_exceptions import MissingDataError
  from numpy.linalg import LinAlgError
label_desc: Use image node_id 47 for calling a global function with example usage: whelch_method(data, param) and returns: unknown