请原谅我，如果我不清楚，因为我是新的张贴在这里。
尝试使用以下代码从雅虎财经中提取数据和股票代码。当从yfinance中提取时，我想通过添加到一个名为“stocks_not_downloaded”的空列表中来跟踪每个未能下载的代码（无论是由于股票被摘牌还是其他原因）。为此，我使用了一个try / except块，这样如果一个股票下载失败，它就会附加到stocks_not_downloaded列表中。
当运行代码时，股票下载，当出现异常时，它会显示例如“1 Failed download：[“Ticker”]：异常（“% ticker%：未找到时区，符号可能已删除'）”
但
A）它无法打印（“无法获取数据：“，股票代码），我已经设置了它这样做，并. B）当运行stocks_not_downloaded_list时，它返回“[]”-一个空列表
尽管输出了上述消息，但它似乎未能将错误识别为正常异常。我读到yfinance可能有一些奇怪的东西，但我不能弄清楚。
我将发布代码和输出。先谢了。
我正在使用这个数据集（https://onedrive.live.com/?authkey=%21ANM0er8uwPV%2DmRg&id=3B0309A579EBD636%2113144&cid=3B0309A579EBD636）-不确定它的草图是否链接到一个onedrive，但让我知道如果你想要它在另一种格式。

验证码

#Imports
import numpy as np
import pandas as pd
from pandas_datareader import data as web
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
%matplotlib inline

import datetime as dt
import mplfinance as mpf

import time

import os
from os import listdir
from os.path import isfile, join
import yfinance as yf
yf.pdr_override()
stocks_not_downloaded = []
missing_stocks = []

#Saves Stock Data to CSV
def save_to_csv_from_yahoo(folder, ticker, syear, smonth, sday, eyear, emonth, eday):
        start = dt.datetime(syear, smonth, sday)
        end = dt.datetime(eyear, emonth, eday)
         
        try:
            print("Get Data for :", ticker)
            df = web.DataReader(ticker, start, end)["Adj Close"]
            time.sleep(10)
            df.to_csv(folder + ticker + ".csv")
        
        except Exception as ex:
            stocks_not_downloaded.append(ticker)
            print("Could not Get Data for:", ticker)

#Returns a Named Column Data from CSV
def get_column_from_csv(file, col_name):
        try:
            df = pd.read_csv(file)
        except FileNotFoundError:
            print("File Does Not Exist")
        else:
            return df[col_name]
    
#Defines tickers and folder
tickers = get_column_from_csv("C:/Users/15189/Documents/Python_For_Finance/Wilshire-5000-Stocks.csv","Ticker")
    
folder = "/Users/15189/Documents/Python_For_Finance/Stock_List/"
    
for x in range(20):
        save_to_csv_from_yahoo(folder, tickers[x], 2017, 1, 1, 2021, 8, 19)
    
print("Finished")
stocks_not_downloaded

你可以看到我正在使用：

try:
            print("Get Data for :", ticker)
            df = web.DataReader(ticker, start, end)["Adj Close"]
            time.sleep(10)
            df.to_csv(folder + ticker + ".csv")
        
        except Exception as ex:
            stocks_not_downloaded.append(ticker)
            print("Could not Get Data for:", ticker)

但在跑步时：

for x in range(20):
        save_to_csv_from_yahoo(folder, tickers[x], 2017, 1, 1, 2021, 8, 19)
    
print("Finished")
stocks_not_downloaded

我得到以下输出，结尾有一个“[]”--一个空的列表，列出了没有沿着下载的股票，没有“无法获取数据：“消息。我真的很感激你

输出：

Get Data for : A
[*********************100%%**********************]  1 of 1 completed
Get Data for : AA
[*********************100%%**********************]  1 of 1 completed
Get Data for : AAL
[*********************100%%**********************]  1 of 1 completed
Get Data for : AAME
[*********************100%%**********************]  1 of 1 completed
Get Data for : AAN
[*********************100%%**********************]  1 of 1 completed
Get Data for : AAOI
[*********************100%%**********************]  1 of 1 completed
Get Data for : AAON
[*********************100%%**********************]  1 of 1 completed
Get Data for : AAP
[*********************100%%**********************]  1 of 1 completed
Get Data for : AAPL
[*********************100%%**********************]  1 of 1 completed
Get Data for : AAT
[*********************100%%**********************]  1 of 1 completed
Get Data for : AAWW
[*********************100%%**********************]  1 of 1 completed

1 Failed download:
['AAWW']: Exception('%ticker%: No timezone found, symbol may be delisted')

Get Data for : AAXN
[*********************100%%**********************]  1 of 1 completed

1 Failed download:
['AAXN']: Exception('%ticker%: No timezone found, symbol may be delisted')

Get Data for : ABBV
[*********************100%%**********************]  1 of 1 completed
Get Data for : ABC
[*********************100%%**********************]  1 of 1 completed
Get Data for : ABCB
[*********************100%%**********************]  1 of 1 completed
Get Data for : ABEO
[*********************100%%**********************]  1 of 1 completed
Get Data for : ABG
[*********************100%%**********************]  1 of 1 completed
Get Data for : ABIO
[*********************100%%**********************]  1 of 1 completed
Get Data for : ABM
[*********************100%%**********************]  1 of 1 completed
Get Data for : ABMD
[*********************100%%**********************]  1 of 1 completed
Finished
[]