can someone please advise how can I batch convert 100+ CSV files all with different schemas to individual XLSX files keeping the original subfolder structure using Python? In nutshell, what i am need to get:
Folder:
  Subfolder 1:
  file.csv
  Subfolder 2:
  file2.csv
  ...
  Subfolder N:
  fileN.csv
Aiming for:
Folder:
  Subfolder 1:
  file.csv
  file.xlsx
  Subfolder 2:
  file2.csv
  file2.xlsx
  ...
  Subfolder N:
  fileN.csv
  fileN.xlsx
File names are not uniform.
I am trying the below code but it is only converting the file in the root folder.
for root, dirs, files in os.walk('.'):
    for file in files:
        for file in glob.glob(os.path.join('.', '*.csv')):
            wb = openpyxl.Workbook()
            ws = wb.active
            with open(os.path.join(file), 'r') as f:
                reader = csv.reader(f)
                for r, row in enumerate(reader, start=1):
                    for c, val in enumerate(row, start=1):
                        ws.cell(row=r, column=c).value = val
            wb.save(csvfile + '.xlsx')
 
    