从Yahoo!加载数据 与熊猫融资

Question

我正在通过Wes McKinney的书"Python For Data Analysis"和第139页"Correlation and Covariance"中的工作,当我尝试运行他的代码从Yahoo!获取数据时,我收到了一个错误.金融.

这是我正在运行的:

#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()})

这是我得到的错误:

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'
>>> ... >>> >>> ... >>> 

知道问题是什么吗？

Answer 1

正如卡尔指出的那样,自动收报机改变了雅虎返回"找不到页面"的含义.

从Web上轮询数据时,最好将try包裹在一起,除外

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