python循环一列并将输出附加到数据帧

我正在使用df.iterrows()遍历一列产品代码:

然后这些代码被发送到一个api并返回有关我的产品的各种详细信息。即新的和旧的销售价格。

每次迭代后,我都想将数据追加到数据帧。我应该在我的数据框中看到100行数据,但是我收到的只是最后产品代码的一行数据。

我想我需要创建第二个嵌套循环,在每次迭代时获取输出并将其附加到数据帧,但我不确定从何处开始。我的代码在下面。任何帮助都将不胜感激。

import numpy as np
import pandas as pd

accesskey = 'xxxx'
api = keepaAPI.API(accesskey)

df = pd.read_excel('C:/Users/xxxx.xlsx',
                  sheet_name = 'abebooks',
                  header = 0,
                  index_col = None,
                  usecols = "A:P",
                  convert_float = True)

for index, row in df.iterrows():
products = api.ProductQuery(row['xxx'])
product = products[0]

newprice = products[0]['data']['NEW']
newpricetime = products[0]['data']['NEW_time']
usedprice = products[0]['data']['USED']
usedpricetime = products[0]['data']['USED_time']
bsr = products[0]['data']['SALES']
bsrtime = products[0]['data']['SALES_time']

df = pd.DataFrame([[products[0]['title'], 
products[0]['asin'],newprice[-1], usedprice[-1], bsr[-1], 
products[0]['binding']]])

df2 = pd.DataFrame([], columns=list(["title", "Asin", 
"New price", "Used price", "BSR", "Binding"]))

df.append(df2, ignore_index=True)

dfa_list = [] import numpy as np import pandas as pd accesskey = 'xxxx' api = keepaAPI.API(accesskey) df = pd.read_excel('C:/Users/xxxx.xlsx', sheet_name = 'abebooks', header = 0, index_col = None, usecols = "A:P", convert_float = True) for index, row in df.iterrows(): products = api.ProductQuery(row['xxx']) product = products[0] newprice = products[0]['data']['NEW'] newpricetime = products[0]['data']['NEW_time'] usedprice = products[0]['data']['USED'] usedpricetime = products[0]['data']['USED_time'] bsr = products[0]['data']['SALES'] bsrtime = products[0]['data']['SALES_time'] df = pd.DataFrame([[products[0]['title'], products[0]['asin'],newprice[-1], usedprice[-1], bsr[-1], products[0]['binding']]]) df2 = pd.DataFrame([], columns=list(["title", "Asin", "New price", "Used price", "BSR", "Binding"])) dfa_list.append(df2) it_df = pd.concat(dfa_list)