Result is not stacking as desired via tuple or dict - python-3.x

Question

I am grabbing some financial data off a website, a list of names and a list of numbers, respectively. However, if i print them independently, I get the results separately fine, but I can't manage to put them together.
import requests
import bs4
import numpy as np
def fundamentals(name, number):
url = 'http://quotes.money.163.com/f10/dbfx_002230.html?date=2020-03-31#01c08'
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) '
'AppleWebKit/537.36 (KHTML, like Gecko) '
'Chrome/63.0.3239.132 Safari/537.36 QIHU 360SE'
}
response = requests.get(url, headers=headers).content
soup = bs4.BeautifulSoup(response, 'html5lib')
DuPond_name = soup.find_all(name='td', attrs={'class': 'dbbg01'})
DuPond_number = soup.find_all(name='td', attrs={'class': 'dbbg02'})
for i, names in enumerate(DuPond_name, 1):
name = names.getText()
print(name)
for i, numbers in enumerate(DuPond_number, 1):
number = numbers.getText()
print(number)
return {name: number}
if __name__ == '__main__':
print(fundamentals(name=[], number=[]))
DOM
净资产收益率
总资产收益率
权益乘数
销售净利率
总资产周转率
净利润
营业收入
营业收入
平均资产总额
营业收入
全部成本
投资收益
所得税
其他
营业成本
销售费用
管理费用
财务费用
-1.16%
-0.63%
1/(1-40.26%)
-9.33%
0.07
-131,445,229.01
1,408,820,489.46
1,408,820,489.46
9,751,224,017.79
1,408,820,489.46
1,704,193,442.22
5,971,254
17,965,689
--
776,103,494
274,376,792.25
186,977,519.02
5,173,865.88
{'财务费用': '5,173,865.88'}
Process finished with exit code 0
the final dict is only giving me the very last combination, how can i fix it? or if i can put them into dataframe form, sweeter. thank you all for the help!

Answer 1

Can you try this:
import pandas as pd
df = pd.DataFrame([list(DuPond_name), list(DuPond_number)]).T
For reference, This is how I tested it:
import pandas as pd
ls1 = ['净资产收益率','总资产收益率','权益乘数','销售净利率','总资产周转率','净利润','营业收入','营业收入','平均资产总额','营业收入','全部成本','投资收益','所得税','其他','营业成本','销售费用','管理费用','财务费用']
ls2 = ['-1.16%','-0.63%','1/(1-40.26%)','-9.33%','0.07','-131,445,229.01','1,408,820,489.46','1,408,820,489.46','9,751,224,017.79','1,408,820,489.46','1,704,193,442.22','5,971,254','17,965,689','--','776,103,494','274,376,792.25','186,977,519.02','5,173,865.88']
df = pd.DataFrame([ls1, ls2]).T
print(df)
This is the output I got:
0 1
0 净资产收益率 -1.16%
1 总资产收益率 -0.63%
2 权益乘数 1/(1-40.26%)
3 销售净利率 -9.33%
4 总资产周转率 0.07
5 净利润 -131,445,229.01
6 营业收入 1,408,820,489.46
7 营业收入 1,408,820,489.46
8 平均资产总额 9,751,224,017.79
9 营业收入 1,408,820,489.46
10 全部成本 1,704,193,442.22
11 投资收益 5,971,254
12 所得税 17,965,689
13 其他 --
14 营业成本 776,103,494
15 销售费用 274,376,792.25
16 管理费用 186,977,519.02
17 财务费用 5,173,865.88