Question

对于为什么会出现属性错误，我有些困惑。仅当我放置一个等于stock_list的列表时，才会发生此错误。如果我打印列表，然后复制并粘贴，我不会收到错误/

我曾尝试从代码顶部输入技术行情自动收录器，但尝试时会出现属性错误，当我先打印列表然后复制并粘贴时，这不会发生吗？< / p>

file = 'techtickerlist.csv'
with open(file) as f:
    reader = csv.reader(f)
    technologyTickers = []
    for row in reader:
        technologyTickers.append(row[0])

def scrape(stock_list, interested, technicals):
    SuggestedStocks = []
    for each_stock in stock_list:
        try:
            technicals = scrape_yahoo(each_stock)
            condition_1 = float(technicals.get('Return on Equity',0).replace('%','').replace('N/A','-100').replace(',','')) > 25
            condition_2 = float(technicals.get('Trailing P/E',0).replace('N/A','0').replace(',','')) < 25
            condition_3 = float(technicals.get('Price/Book',0).replace('N/A','100')) <8
            condition_4 = float(technicals.get('Beta (3Y Monthly)',0).replace('N/A','100')) <1.1
            if condition_1 and condition_2 and condition_3 and condition_4:
                print(each_stock)
                SuggestedStocks.append(each_stock)  
                for ind in interested: 
                    print(ind + ": "+ technicals[ind])         
                print("------")
                time.sleep(1)   
        except ValueError:
                print('Value Error')
                return
                                              # Use delay to avoid getting flagged as bot
    #return technicals
    print(SuggestedStocks)


def main():

    stock_list = technologyTickers
    interested = ['Return on Equity', 'Revenue', 'Quarterly Revenue Growth','Trailing P/E', 'Beta (3Y Monthly)','Price/Book']
    technicals = {}

    tech = scrape(stock_list, interested, technicals)
    print(tech)

AttributeError：'int'对象没有属性'replace'

Answer 1

检查实施情况

technicals.get（'股本回报率'，0）

如果键不存在，则方法dict（对于类型0）将返回默认值int。根据您的实现，所有默认值的类型均为matplotlib.pyplot.plot()。因为它们被设置为数字，而不是字符串（用引号引起来）。

如果零是正确的默认值，则可以在更改类型时忽略错误，并保持实现。

technicals.get（'股本回报率'，'0'）

Answer 2

我认为这将满足您的要求。

import csv
import requests
from bs4 import BeautifulSoup

url_base = "https://finviz.com/quote.ashx?t="
tckr = ['SBUX','MSFT','AAPL']
url_list = [url_base + s for s in tckr]

with open('C:\\Users\\Excel\\Downloads\\SO.csv', 'a', newline='') as f:
    writer = csv.writer(f)

    for url in url_list:
        try:
            fpage = requests.get(url)
            fsoup = BeautifulSoup(fpage.content, 'html.parser')

            # write header row
            writer.writerow(map(lambda e : e.text, fsoup.find_all('td', {'class':'snapshot-td2-cp'})))

            # write body row
            writer.writerow(map(lambda e : e.text, fsoup.find_all('td', {'class':'snapshot-td2'})))            
        except HTTPError:
            print("{} - not found".format(url))

股票行情清单的属性错误

2 个答案: