为什么我的代码在 1 列中给我数据它应该在两个不同的列中给我
Why my code is giving me data in 1 column it should give me in two different column
我需要知道我的代码中发生了什么?它应该在单独的列中提供数据它在宣誓列中为我提供相同的数据。
我尝试更改行变量的值,但没有找到原因
import requests
import csv
from bs4 import BeautifulSoup
import pandas as pd
import time
arrayofRequest= []
prices=[]
location=[]
columns=['Price', 'Location']
df = pd.DataFrame(columns=columns)
for i in range(0,50):
arrayofRequest.append("https://www.zameen.com/Homes/Karachi-2-"+str(i+1)+".html?gclid=Cj0KCQjw3JXtBRC8ARIsAEBHg4mj4jX1zZUt3WzGScjH6nfwzrEqkuILarcmg372imSneelSXPj0fGIaArNeEALw_wcB")
request = requests.get(arrayofRequest[i])
soupobj= BeautifulSoup(request.content,"lxml")
# print(soupobj.prettify())
links =soupobj.find_all('span',{'class':'f343d9ce'})
addresses =soupobj.find_all('div',{'class':'_162e6469'})
price = ""
for i in range(0,len(links)):
price = str(links[i]).split(">")
price = price[len(price)-2].split("<")[0]
prices.append(price)
address = str(addresses[i]).split(">")
address = address[len(address)-2].split("<")[0]
location.append(address)
row=location[i]+","+prices[i]
df = df.append(pd.Series(row, index=columns), ignore_index=False)
# filewriter = csv.writer(csvfile, delimiter=',',filewriter.writerow(['Price', 'Location']),filewriter.writerow([prices[0],location[0]])
df.to_csv('DATA.csv', index=False)
因为这个:
pd.Series(row, index=columns)
试试
pd.DataFrame([[locations[i], prices[i]]], index=columns))
然而,这只能在 for 循环之外完成一次
pd.DataFrame(list(zip(locations, prices)), index=columns))
我需要知道我的代码中发生了什么?它应该在单独的列中提供数据它在宣誓列中为我提供相同的数据。
我尝试更改行变量的值,但没有找到原因
import requests
import csv
from bs4 import BeautifulSoup
import pandas as pd
import time
arrayofRequest= []
prices=[]
location=[]
columns=['Price', 'Location']
df = pd.DataFrame(columns=columns)
for i in range(0,50):
arrayofRequest.append("https://www.zameen.com/Homes/Karachi-2-"+str(i+1)+".html?gclid=Cj0KCQjw3JXtBRC8ARIsAEBHg4mj4jX1zZUt3WzGScjH6nfwzrEqkuILarcmg372imSneelSXPj0fGIaArNeEALw_wcB")
request = requests.get(arrayofRequest[i])
soupobj= BeautifulSoup(request.content,"lxml")
# print(soupobj.prettify())
links =soupobj.find_all('span',{'class':'f343d9ce'})
addresses =soupobj.find_all('div',{'class':'_162e6469'})
price = ""
for i in range(0,len(links)):
price = str(links[i]).split(">")
price = price[len(price)-2].split("<")[0]
prices.append(price)
address = str(addresses[i]).split(">")
address = address[len(address)-2].split("<")[0]
location.append(address)
row=location[i]+","+prices[i]
df = df.append(pd.Series(row, index=columns), ignore_index=False)
# filewriter = csv.writer(csvfile, delimiter=',',filewriter.writerow(['Price', 'Location']),filewriter.writerow([prices[0],location[0]])
df.to_csv('DATA.csv', index=False)
因为这个:
pd.Series(row, index=columns)
试试
pd.DataFrame([[locations[i], prices[i]]], index=columns))
然而,这只能在 for 循环之外完成一次
pd.DataFrame(list(zip(locations, prices)), index=columns))