python:从嵌套循环内部将网站从行刮到的数据转换为列

我正在尝试将行转换为在嵌套for循环中生成的列。

简而言之就是这样: 值1在行中,属于值1的数据必须作为列值2在行中,属于值2的数据必须作为列

现在的情况是所有值都导出为行,之后,值的所有值都导出为行,这将使其无法读取。

问题是要得到价值1,价值2等等…我必须遍历for循环,要获取值1的所有数据,我需要遍历另一个for循环(嵌套循环)。

我收集的所有数据都来自一个网站(抓取)。我已经包括了imgurl链接到它是如何和应该如何(我的进展到目前为止)。第一个是它是怎样的,第二个是它应该是怎样的。我相信用形象来解释比用我自己的话更容易。 https://imgur.com/a/2LRhQrj

我使用pandas和xlsxwriter来存储到excel。我设法将所有数据导出到excel中,但似乎无法将每个值的值转换为列。第一行是时间。这是应该的工作方式。

        #Initialize things before loop
        df = pd.DataFrame()
        ### Time based on hour 00:00, 01:00 etc...
        df_time = pd.DataFrame(columns=[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23])

        for listing in soup.find_all('tr'):

            listing.attrs = {}
            #assetTime = listing.find_all("td", {"class": "locked"})
            assetCell = listing.find_all("td", {"class": "assetCell"})
            assetValue = listing.find_all("td", {"class": "assetValue"})


            for data in assetCell:

                array = [data.get_text()]
                df = df.append(pd.DataFrame({
                                        'Fridge name': array,
                                        }))

                for value in assetValue:

                    asset_array = [value.get_text()]
                    df_time = df_time.append(pd.DataFrame({
                                                'Temperature': asset_array
                                                }))
                ### End of assetValue loop
            ### End of assetCell loop

        ### Now we need to save the data to excel
        ### Create a Pandas Excel writer using XlsxWriter as the Engine
        writer = pd.ExcelWriter(filename+'.xlsx', engine='xlsxwriter')

        ### Convert dataframes
        frames = [df, df_time]
        result = pd.concat(frames)

        ### Convert the dataframe to an XlsxWriter Excel object and skip first row for custom header
        result.to_excel(writer, sheet_name='SheetName', startrow=1, header=True)

        ### Get the xlsxwritert workbook and worksheet objects
        workbook = writer.book
        worksheet = writer.sheets['SheetName']

        ### Write the column headers with the defined add_format
        for col_num, value in enumerate(result.columns.values):
            worksheet.write(0, col_num +1, value)

            ### Close Pandas Excel writer and output the Excel file
            writer.save()