Python 3 Code Questions...

// Enter your code here
import datetime # API for 4 weeks Top20 statistics Date Processing for real time

now = datetime.datetime.now() # Current date
weeks4 = now + datetime.timedelta(weeks=-4) #current date - 4 weeks
startDt = '%04d-%02d-%02d' % (weeks4.year, weeks4.month, weeks4.day)
endDt = '%04d-%02d-%02d' %(now.year, now.month, now.day) # Only the year, month, and date should be printed from the current date

apiKey = #APIKey variable

top20_url = f"http://data4library.kr/api/loanItemSrch?authKey={apiKey}&startDt={startDt}&endDt={endDt}&pageSize=20" #APIcallAddress top20_url variable

import pandas as pd
from bs4 import Beautiful Soup # Required for parsing tags
From urllib.request import urlopen #Required to retrieve Url address

data = urlopen(top20_url).Read() #top20_url is read and stored in the data variable
soup = BeautifulSoup(data, "html.parser") #Type parser via BeautifulSoup
find the docs tag in the bookitem = soup.find("docs") #Tag and save it in the bookitem

df = pd.DataFrame (columns = ['rank', book', category (type), 'rental', 'ISBN']) #Create an empty data frame


i = 0 # iInitial value
For items in bookitem.findAll("doc"): # Find the doc tag in the docs tag stored in the bookitem and put it in the items
    df.loc[i] = [items.ranking.text, items.bookname.text, items.class_no.text, items.loan_count.text, items.isbn13.text]
    i=i+1
df