通过Pandas以CSV格式清空结果

Question

我在使用Pandas DataFrame时遇到空的SFMA.csv输出，同时如果我打印内容，代码也能正常工作。代码如下：

import csv
import urllib
import requests
from bs4 import BeautifulSoup
import time
import datetime
from random import randint 
import numpy as np
import pandas as pd


fi = open('Input_List.csv', 'r')
#readers = list(csv.reader(fi))
readers=csv.reader(fi)
#print(readers)
df = []

for reader in readers:
    #print(str(reader)[1:-1]+"\n")
    url=str(reader)[2:-2]
    request = requests.session()
    htmlpage = requests.get(url)
    #print("status code: "+ str(htmlpage.status_code))
    if htmlpage.status_code != 200 : 
        break    # something went wrong #  
    soup = BeautifulSoup(htmlpage.text,'lxml')
    for result_table in soup.find_all("div", {"class": "w3-container"}):
        #content=result_table.find('p')
        #print(result_table)
        content=result_table.text

        if(content.find("Website") > -1):
            index=content.find("Website")
            content=content[:content.find("\n",index)]
            #print(content)
            df=np.append(df,content)
            break
        #print(content)
        df=np.append(df,str(content))
        #print(df)
df1 = pd.DataFrame(df)
df1.to_csv("SFMA.csv",index=False,encoding='utf-8')

fi.close()

打印时输出

（df1） 如果有人能指出是否有任何拼写错误或错误，我将不胜感激。非常感谢。

Answer 1

可以通过这种方式读取文件：

df = pd.read_csv('C:/Users/tk/Input_List.csv',  header=0,encoding = 'unicode_escape')