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designating the columns value of the multiple xml files via python before converting to csv files using pandas' library

I have two XML files (*e1report.xml and *e3report.xml) coming from a simulation run that must be converted to CSV files by using the pandas library. So, I need to produce my columns as the header of the table. I don't know how to introduce these two different columns. Here is my script with only one of the columns while the code must be able to get the values of the two columns automatically.

import glob     
mainpath = r"D:/alimirzaei/app/my_sumo/testforpythontraci/test8/" 
s = glob.glob('{0}/*report.xml'.format(mainpath))
   
import csv
import xml.etree.ElementTree as ET
import pandas as pd

for k in range(len(s)):
    tree = ET.parse(s[k])
    root = tree.getroot()
          
    with open('filename{}.csv'.format(k+1), 'w') as job:
         cols = ['begin', 'end', 'id', 'meanTravelTime','meanOverlapTravelTime', 'meanSpeed', 'meanHaltsPerVehicle', 'meanTimeLoss', 'vehicleSum', 'meanSpeedWithin','meanHaltsPerVehicleWithin', 'meanDurationWithin', 'vehicleSumWithin', 'meanIntervalSpeedWithin', 'meanIntervalHaltsPerVehicleWithin', 'meanIntervalDurationWithin', 'meanTimeLossWithin']
         detectorwriter = csv.writer(job)
         detectorwriter.writerow(cols)
         for i in root:
             values = [i.attrib[j] for j in cols]
             detectorwriter.writerow(values)
    data = pd.read_csv('filename{}.csv'.format(k+1))
    data.to_csv('filename_final{}.csv'.format(k+1), sep = ',', index = False)

Any help would be appreciated. Best, Ali



source https://stackoverflow.com/questions/69744353/designating-the-columns-value-of-the-multiple-xml-files-via-python-before-conver
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