text: import pandas as pd
  import numpy as np
  
  
  # function will get data from 2 csv files (from each camera), and will combine the track feature list into a 2x150 np array, based on their same frameNos.
  def combine_match(filename1, filename2):
      df1 = pd.read_csv(filename1, sep=',', header=["trackplot ID", "time-in", "time-out", "frame-in", "frame-out", "feature signal"], index=False)
      print(df1.head())
      df2 = pd.read_csv(filename2, sep=',', header=["trackplot ID", "time-in", "time-out", "frame-in", "frame-out", "feature signal"], index=False)
      print(df2.head())
      camera1_tracks_list = df1["trackplot ID"]
      camera2_tracks_list = df2["trackplot ID"]
      print(camera1_tracks_list)
      print(camera2_tracks_list)
      num = 5     # num of comparisons for matched trackIDs
      #for index in range(num):
          # for track_ID1 in camera1_tracks_list:
          #     for track_ID2 in camera2_tracks_list
  
  
  
  
  if __name__ == '__main__':
      filename1 = '../data/vidtest3_target_data.csv'
      filename2 = '../data/vidtest4_target_data.csv'
      combine_match(filename1, filename2)