python - 使用数据读取器时出现 ImmediateDeprecationError

Question

import datetime as dt
import matplotlib.pyplot as plt
from matplotlib import style
import pandas as pd
import pandas_datareader.data as web
style.use('ggplot')
start = dt.datetime(2000,1,1)
end = dt.datetime(2016,12,31)

df = web.DataReader('INPX', 'yahoo', start, end) 


ImmediateDeprecationError                 Traceback (most recent call last)
<ipython-input-11-d0b9e16fb581> in <module>()
----> 1 df = web.DataReader('INPX', 'yahoo', start, end)

/anaconda3/lib/python3.6/site-packages/pandas_datareader/data.py in DataReader(name, data_source, start, end, retry_count, pause, session, access_key)
289     """
290     if data_source == "yahoo":
--> 291         raise ImmediateDeprecationError(DEP_ERROR_MSG.format('Yahoo Daily'))
292         return YahooDailyReader(symbols=name, start=start, end=end,
293                                 adjust_price=False, chunksize=25,

ImmediateDeprecationError: 
Yahoo Daily has been immediately deprecated due to large breaks in the API without the
introduction of a stable replacement. Pull Requests to re-enable these data
connectors are welcome.

See https://github.com/pydata/pandas-datareader/issues

我尝试了该链接，但找不到立即出现折旧错误的原因。我还尝试将 'yahoo' 更改为 'google' ie:df = web.DataReader('INPX', 'google', start, end) 但仍然出现错误:

/anaconda3/lib/python3.6/site-packages/pandas_datareader/google/daily.py:40: UnstableAPIWarning: 
The Google Finance API has not been stable since late 2017. Requests seem
to fail at random. Failure is especially common when bulk downloading.

warnings.warn(UNSTABLE_WARNING，UnstableAPIWarning)

RemoteDataError                           Traceback (most recent call last)
<ipython-input-12-5d16a3e9b68a> in <module>()
----> 1 df = web.DataReader('INPX', 'google', start, end)

/anaconda3/lib/python3.6/site-packages/pandas_datareader/data.py in DataReader(name, data_source, start, end, retry_count, pause, session, access_key)
313                                  chunksize=25,
314                                  retry_count=retry_count, pause=pause,
--> 315                                  session=session).read()
316 
317     elif data_source == "iex":

/anaconda3/lib/python3.6/site-packages/pandas_datareader/base.py in read(self)
204         if isinstance(self.symbols, (compat.string_types, int)):
205             df = self._read_one_data(self.url,
--> 206                                      params=self._get_params(self.symbols))
207         # Or multiple symbols, (e.g., ['GOOG', 'AAPL', 'MSFT'])
208         elif isinstance(self.symbols, DataFrame):

/anaconda3/lib/python3.6/site-packages/pandas_datareader/base.py in _read_one_data(self, url, params)
 82         """ read one data from specified URL """
 83         if self._format == 'string':
---> 84             out = self._read_url_as_StringIO(url, params=params)
 85         elif self._format == 'json':
 86             out = self._get_response(url, params=params).json()

/anaconda3/lib/python3.6/site-packages/pandas_datareader/base.py in _read_url_as_StringIO(self, url, params)
 93         Open url (and retry)
 94         """
---> 95         response = self._get_response(url, params=params)
 96         text = self._sanitize_response(response)
 97         out = StringIO()

/anaconda3/lib/python3.6/site-packages/pandas_datareader/base.py in _get_response(self, url, params, headers)
153             msg += '\nResponse Text:\n{0}'.format(last_response_text)
154 
--> 155         raise RemoteDataError(msg)
156 
157     def _get_crumb(self, *args):

RemoteDataError: Unable to read URL: https://finance.google.com/finance/historical?q=INPX&startdate=Jan+01%2C+2000&enddate=Dec+31%2C+2016&output=csv
Response Text:

b'抱歉... body { font-family: verdana, arial, sans-serif;背景颜色:#fff；颜色:#000； }Google抱歉...

我们很抱歉...

...但您的计算机或网络可能正在发送自动查询。为了保护我们的用户，我们现在无法处理您的请求。

请参阅 Google Help了解更多信息。

Google Home '.

非常感谢您的帮助!

Answer 1

讨论的一个小变化here为我工作。只需使用

import pandas_datareader.data as web
sp500 = web.get_data_yahoo('SPY', start=start, end=end)