import numpy as np
     import pandas as pd
     raw_file= '/home/targetfolder/channel1.dat'
     with open(raw_file, "rb") as f:

              raw_data = np.fromstring(f.read(), dtype=np.float32)
              comb_np_array = np.vstack(raw_data)
              big_frame = pd.DataFrame(comb_np_array)
              big_frame.to_csv("/home/destinationfolder/channel1.csv")

     f.close()

import csv
    from os import listdir
    from os.path import isfile, join, splitext

    dat_folder = "/home/nmu/"
    csv_folder = "/home/nmu/tmp/"

     onlyfilenames = [f for f in listdir(dat_folder) if
                      isfile(join(dat_folder,f))]
     for fullfilename in onlyfilenames:
          file_name, file_extension = splitext(fullfilename)
          if file_extension == ".dat":
              inputfile=dat_folder + fullfilename
              with open(inputfile, "rb") as f:

                   inputfile = np.fromstring(f.read(), dtype=np.float32)
                   comb_np_array = np.vstack(raw_data)
                   n = pd.DataFrame(comb_np_array)

             with open(join(csv_folder, file_name + ".csv"), "w",
                            newline='') as f:
                    writer = csv.writer(f,lineterminator='n')
                    for row in range(len(n)):
                          writer.writerows(n)