我正在尝试使用DateReader从Google财经下载EUR / USD历史数据,但我收到了错误,我无法处理它。
我的代码:
imported_data = data.DataReader('CURRENCY:EUR', 'google')
适用于纳斯达克:AAPL' NYSEARCA:GLD'和任何其他股票代码,但我无法使其适用于货币。
错误:
RemoteDataError Traceback (most recent call last)
<ipython-input-111-946aab4f973f> in <module>()
----> 1 imported_data = data.DataReader('CURRENCY:EUR', 'google',start=start_date)
C:\Users\user\Anaconda3\lib\site-packages\pandas_datareader\data.py in DataReader(name, data_source, start, end, retry_count, pause, session, access_key)
130 chunksize=25,
131 retry_count=retry_count, pause=pause,
--> 132 session=session).read()
133
134 elif data_source == "enigma":
C:\Users\user\Anaconda3\lib\site-packages\pandas_datareader\base.py in read(self)
153 # If a single symbol, (e.g., 'GOOG')
154 if isinstance(self.symbols, (compat.string_types, int)):
--> 155 df = self._read_one_data(self.url, params=self._get_params(self.symbols))
156 # Or multiple symbols, (e.g., ['GOOG', 'AAPL', 'MSFT'])
157 elif isinstance(self.symbols, DataFrame):
C:\Users\user\Anaconda3\lib\site-packages\pandas_datareader\base.py in _read_one_data(self, url, params)
72 """ read one data from specified URL """
73 if self._format == 'string':
---> 74 out = self._read_url_as_StringIO(url, params=params)
75 elif self._format == 'json':
76 out = self._get_response(url, params=params).json()
C:\Users\user\Anaconda3\lib\site-packages\pandas_datareader\base.py in _read_url_as_StringIO(self, url, params)
83 Open url (and retry)
84 """
---> 85 response = self._get_response(url, params=params)
86 text = self._sanitize_response(response)
87 out = StringIO()
C:\Users\user\Anaconda3\lib\site-packages\pandas_datareader\base.py in _get_response(self, url, params)
118 if params is not None and len(params) > 0:
119 url = url + "?" + urlencode(params)
--> 120 raise RemoteDataError('Unable to read URL: {0}'.format(url))
121
122 def _read_lines(self, out):
RemoteDataError: Unable to read URL: http://www.google.com/finance/historical?output=csv&startdate=Jan+01%2C+2012&enddate=Mar+06%2C+2017&q=CURRENCY%3AEUR
我非常感谢任何帮助!
Python 3.5.2 / Anaconda 4.2.0 / IPython 5.1.0