text: import numpy as np
  
  
  def dict_95ci(dict_list):
      median_dict = {}
      for key in dict_list.keys():
          value = dict_list[key]
          value_arr = np.array(value)
          if np.isnan(value_arr).any() == True:
              median_dict[key] = np.nan
          else:
              append_low = np.percentile(value_arr, 2.5)
              append_mid = np.percentile(value_arr, 50)
              append_upp = np.percentile(value_arr, 95.7)
              median_dict[key] = [append_low, append_upp, append_mid]
      return median_dict
  