test.py

import sys
for filename_argv in sys.argv:
    def txt2csv(filename_tp):

        import numpy as np
        # import matplotlib.pyplot as plt
        import csv
        filename = filename_tp + '.txt'
        # filename = filename_tp
        rawData = np.loadtxt(filename, dtype=np.str)

        Lable = ['accx', 'accy', 'accz', 'grox', 'groy', 'groz', 'magx', 'magy', 'magz', 'count']
        tempDataDec = []
        # tempDataHex = []
        arrayDataDec = {}
        # arrayDataHex = {}

        # save the data to arrayData
        for i in range(len(Lable)):
            for j in range(len(rawData)):
                # low number
                temp = int(rawData[j][(i + 1) * 4 - 2:(i + 1) * 4], 16) * 256 + int(rawData[j][i * 4:i * 4 + 2], 16)
                # tempDataHex.append(rawData[j][(i) * 4:(i + 1) * 4])
                if temp > 32768:
                    temp = temp - 65536
                    # continue
                tempDataDec.append(temp)

            arrayDataDec[Lable[i]] = tempDataDec
            # arrayDataHex[Lable[i]] = tempDataHex
            tempDataDec = []
            # tempDataHex = []

        with open(filename[0:len(filename) - 4] + '.csv', 'w', newline='') as f:  # Just use 'w' mode in 3.x
            w = csv.DictWriter(f, fieldnames=Lable)
            w.writeheader()
            tempDict = {}

            for i in range(len(rawData)):
                for j in range(len(Lable)):
                    tempDict[Lable[j]] = arrayDataDec[Lable[j]][i]
                w.writerow(tempDict)
                tempDict = {}
            f.close()

        return


    print('This is an exe convert the .txt file to .csv file\n ')
    filename_tp = input('please type the file name:')
    filename_tp = filename_argv
    txt2csv(filename_tp)