code: def stetson_k(x):
      """A robust kurtosis statistic."""
      n = len(x)
      x0 = stetson_mean(x, 1.0 / 20**2)
      delta_x = np.sqrt(n / (n - 1.0)) * (x - x0) / 20
      ta = (
          1.0
          / 0.798
          * np.mean(np.abs(delta_x))
          / np.sqrt(np.mean(delta_x**2))
      )
      return ta
  
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 53 for calling a global function with example usage: stetson_k(x) and returns: ta