我正在尝试从此处运行代码来下载所有 S&P 500 股票：
https://pythonprogramming.net/sp500-company-price-data-python-programming-for-finance/ https://pythonprogramming.net/sp500-company-price-data-python-programming-for-finance/
import bs4 as bs
import datetime as dt
import os
import pandas_datareader.data as web
import pickle
import requests
def save_sp500_tickers():
resp = requests.get('http://en.wikipedia.org/wiki/List_of_S%26P_500_companies')
soup = bs.BeautifulSoup(resp.text, 'lxml')
table = soup.find('table', {'class': 'wikitable sortable'})
tickers = []
for row in table.findAll('tr')[1:]:
ticker = row.findAll('td')[0].text
tickers.append(ticker)
with open("sp500tickers.pickle", "wb") as f:
pickle.dump(tickers, f)
return tickers
# save_sp500_tickers()
def get_data_from_yahoo(reload_sp500=False):
if reload_sp500:
tickers = save_sp500_tickers()
else:
with open("sp500tickers.pickle", "rb") as f:
tickers = pickle.load(f)
if not os.path.exists('stock_dfs'):
os.makedirs('stock_dfs')
start = dt.datetime(2010, 1, 1)
end = dt.datetime.now()
for ticker in tickers:
# just in case your connection breaks, we'd like to save our progress!
if not os.path.exists('stock_dfs/{}.csv'.format(ticker)):
df = web.DataReader(ticker, 'morningstar', start, end)
df.reset_index(inplace=True)
df.set_index("Date", inplace=True)
df = df.drop("Symbol", axis=1)
df.to_csv('stock_dfs/{}.csv'.format(ticker))
else:
print('Already have {}'.format(ticker))
get_data_from_yahoo()
但我收到此错误：
Traceback (most recent call last):
File "main.py", line 46, in <module>
get_data_from_yahoo()
File "main.py", line 27, in get_data_from_yahoo
with open("sp500tickers.pickle", "rb") as f:
FileNotFoundError: [Errno 2] No such file or directory: 'sp500tickers.pickle'
我该如何修复它？
