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[英]Writing extracted items of from a website onto a .xls sheet with lists of different length using Pandas module in Python
[英]Writing xls from python row wise using pandas
我已经使用 pandas 成功创建了.xlsx 文件
df = pd.DataFrame([数组列表])
'''
:param data: Data Rows
:param filename: name of the file
:return:
'''
df = pd.DataFrame(data)
# my "Excel" file, which is an in-memory output file (buffer)
# for the new workbook
excel_file = BytesIO()
writer = pd.ExcelWriter(excel_file, engine='xlsxwriter')
df.to_excel(writer, sheet_name='Sheet1_test')
writer.save()
writer.close()
# important step, rewind the buffer or when it is read() you'll get nothing
# but an error message when you try to open your zero length file in Excel
excel_file.seek(0)
# set the mime type so that the browser knows what to do with the file
response = HttpResponse(excel_file.read(),
content_type='application/vnd.openxmlformats-officedocument.spreadsheetml.sheet')
# set the file name in the Content-Disposition header
response['Content-Disposition'] = 'attachment; filename=' + filename + '.xlsx'
return response
但我在这里有问题,有不必要的 SNo。 我不想要,我该怎么做才能删除它。
有 SNo。 作为第一行和第一列,我如何删除它?
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