从雅虎加载数据！熊猫融资

Question

我正在研究韦斯·麦金尼( Wes McKinney)的“数据分析Python”()一书，在第139页的相关性和协方差下，当我试图运行他的代码从Yahoo获得数据时，我遇到了一个错误！金融。

下面是我要做的事：

#CORRELATION AND COVARIANCE
import pandas.io.data as web

all_data = {}
for ticker in ['AAPL', 'IBM', 'MSFT', 'GOOG']:
    all_data[ticker] = web.get_data_yahoo(ticker, '1/1/2003', '1/1/2013')

price = DataFrame({tic: data['Adj Close']
                   for tic, data in all_data.iteritems()})
volume = DataFrame({tic: data['Volume']
                    for tic, data in all_data.iteritems()})

下面是我遇到的错误：

Traceback (most recent call last):
  File "<stdin>", line 2, in <module>
  File "C:\Users\eMachine\WinPython-64bit-2.7.5.3\python-2.7.5.amd64\lib\site-packages\pandas\io\data.py", line 390, in get_data_yahoo
    adjust_price, ret_index, chunksize, 'yahoo', name)
  File "C:\Users\eMachine\WinPython-64bit-2.7.5.3\python-2.7.5.amd64\lib\site-packages\pandas\io\data.py", line 336, in _get_data_from
    hist_data = src_fn(symbols, start, end, retry_count, pause)
  File "C:\Users\eMachine\WinPython-64bit-2.7.5.3\python-2.7.5.amd64\lib\site-packages\pandas\io\data.py", line 190, in _get_hist_yahoo
    return _retry_read_url(url, retry_count, pause, 'Yahoo!')
  File "C:\Users\eMachine\WinPython-64bit-2.7.5.3\python-2.7.5.amd64\lib\site-packages\pandas\io\data.py", line 169, in _retry_read_url
    "return a 200 for url %r" % (retry_count, name, url))
IOError: after 3 tries, Yahoo! did not return a 200 for url 'http://ichart.yahoo.com/table.csv?s=GOOG&a=0&b=1&c=2000&d=0&e=1&f=2010&g=d&ignore=.csv'
>>> ... >>> >>> ... >>> 

知道问题出在哪里吗？

Answer 1

正如卡尔指出的那样，代码已经改变，这意味着雅虎将返回一个“未找到的页面”。

当从web轮询数据时，最好尝试将调用包装为

all_data = {}
for ticker in ['AAPL', 'IBM', 'MSFT', 'GOOG']:
    try:
        all_data[ticker] = web.get_data_yahoo(ticker, '1/1/2003', '1/1/2013')
        price = DataFrame({tic: data['Adj Close']
                    for tic, data in all_data.iteritems()})
        volume = DataFrame({tic: data['Volume']
                    for tic, data in all_data.iteritems()})
    except:
        print "Cant find ", ticker

Answer 2

有同样的问题，把'GOOG‘改为'GOOGL’似乎是有效的，一旦您按照这些说明从pandas.io.data切换到pandas_datareader.data。

data.html#yahoo-finance

Answer 3

截至17日6月1日，我从本页和其他几份文件中拼凑了以下内容：

from pandas_datareader import data as web
# import pandas.io.data as web
import fix_yahoo_finance
import datetime

start = datetime.datetime(2010, 1, 1)
end = datetime.datetime(2017, 6, 1)

all_data={}
for ticker in ['AAPL', 'IBM', 'MSFT', 'GOOGL']:
    all_data[ticker] = web.get_data_yahoo(ticker, start, end)

price = DataFrame({tic: data['Adj Close'] 
                   for tic, data in all_data.iteritems()})
volume = DataFrame({tic: data['Volume']
                     for tic, data in all_data.iteritems()})