如何转换代码以在 xlsx 而不是 csv 中使用 python 而不使用 pandas 写入数据？

Question

I have written a python code to store data in csv format but now need to store in.xlsx file. how to convert the below code and write the output in.xlsx file.

  details_file = self.get_local_storage_path() + '/Myfile.xlsx'
  csv_columns = (
        'id', 'name', 'place', 'salary', 'email',
          )

   with open(details_file, 'w') as csvfile:
            writer = csv.DictWriter(
                csvfile, fieldnames=csv_columns, extrasaction='ignore')
            writer.writeheader()
            for data in details:
                writer.writerow(data)
                
                
                
                

#I tried as below but getting error as TypeError: int() argument must be a string, a bytes-like object or a number, not 'dict'

with open(details_file, 'w') as csvfile:           
            print("inside open")
            workbook = xlsxwriter.Workbook(csvfile)
            worksheet = workbook.add_worksheet()
            print("before for loop")
            for data in details:
                worksheet.write(data)
            workbook.close()

Answer 1

I would use pandas for this:

import pandas as pd

# create the dataframe
df = pd.DataFrame(dict(zip(csv_columns, details)))

# save to csv:
df.to_csv(path, index=False)

#save to xlsx:
df.to_excel(path, index=False)

You might need to install openpyxl for the last line to work.

But if you really need to use xlsxwriter for this, here's how I would do it based on their tutorial :

import xlsxwriter

csv_columns = (
    'id', 'name', 'place', 'salary', 'email',
)
details = [
    [1, 'A', 'B', 2, 'c@d.com'],
    [3, 'C', 'D', 4, 'e@f.com'],
]

workbook = xlsxwriter.Workbook(path)
worksheet = workbook.add_worksheet()

for col, name in enumerate(csv_columns):
    worksheet.write(0, col, name)

for row, det in enumerate(details, 1):
    for col, value in enumerate(det):
        worksheet.write(row, col, value)

workbook.close()