code: def interp_array_list(arr_list, interp_val=10):
      smoothed = [np.zeros(arr_list[0].shape) for item in arr_list]
      for idx, arr in enumerate(arr_list):
          smoothed[idx] = interp_array(arr, interp_val)
      return smoothed
  
imports: import functools
  import sys
  import numpy
  import copy
  from scipy.interpolate import PchipInterpolator
  import seaborn
  import itertools
  import pandas
  from matplotlib.lines import Line2D
label_desc: Use image node_id 7 for calling a global function with example usage: interp_array_list(arr_list, interp_val) and returns: smoothed