数据帧中的Python for循环

Question

Good day, guys! Be carefule of the COVID19 and solve 1 problem plz.

I really want to get the address through crawling below with the value of column B and put it in column F. → This is problem what I got

here's my source. (This is the source for making simple dataframes.)

Start_Page = 0
End_Page = 500

for i in range(Start_Page, End_Page):
    page = i + 1
    url = "http://www.example.com &start=" + str(page)
    res = urllib.request.urlopen(url)
    json_str = response.read().decode("utf-8")
    json_object = json.loads(json_str)
    Mark = pd.json_normalize(json_object['jobs']['job'])
    df = pd.DataFrame(Mark)
    df = df[['A', 'B', 'C', 'D', 'E']]

column's name is A to E.

I really want to get the address through crawling below with the value of column B and put it in column F.

(This is the source for crawling.)

B = B     # B in dataframe 'df'
result = urlopen("http://www.example2.com" + B)
html = result.read()
soup = BeautifulSoup(html, 'html.parser')

address = str(soup.select_one("address.txt_address > span"))
address = re.sub('<.+?>', '', address, 0).strip()

B = B2 → append address to F2
...
...
...
B = B110000 → append address to F110000

How do I create a 'for loop' that adds the address to column F by using the value of B as a variable? (I've been looking for a way for a week, but it was too difficult to find.)

Answer 1

I'm not sure if I understood the question right,

but if your trying to get some address using the values from

'B' column and save it to a new 'F' column,

you could just select 'B' column and put it in a for loop.

values_for_f = []
for i in df['b'].values:
    result = urlopen("http://www.example2.com" + i)
    ....
    address = re.sub('<.+?>', '', address, 0).strip()
    values_for_f.append(address)
df['f'] = values_for_f