Error while running the code? How to handle the error!
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TypeError Traceback (most recent call last)
Cell In[11], line 1
----> 1 F = wb.DataReader('F', data_source='yahoo', start='2005-1-1')
2 F
File ~\anaconda3\Lib\site-packages\pandas\util\_decorators.py:210, in deprecate_kwarg.<locals>._deprecate_kwarg.<locals>.wrapper(*args, **kwargs)
208 raise TypeError(msg)
209 kwargs[new_arg_name] = new_arg_value
--> 210 return func(*args, **kwargs)
File ~\anaconda3\Lib\site-packages\pandas_datareader\data.py:379, in DataReader(name, data_source, start, end, retry_count, pause, session, api_key)
367 raise NotImplementedError(msg)
369 if data_source == "yahoo":
370 return YahooDailyReader(
371 symbols=name,
372 start=start,
373 end=end,
374 adjust_price=False,
375 chunksize=25,
376 retry_count=retry_count,
377 pause=pause,
378 session=session,
--> 379 ).read()
381 elif data_source == "iex":
382 return IEXDailyReader(
383 symbols=name,
384 start=start,
(...)
390 session=session,
391 ).read()
File ~\anaconda3\Lib\site-packages\pandas_datareader\base.py:253, in _DailyBaseReader.read(self)
251 # If a single symbol, (e.g., 'GOOG')
252 if isinstance(self.symbols, (string_types, int)):
--> 253 df = self._read_one_data(self.url, params=self._get_params(self.symbols))
254 # Or multiple symbols, (e.g., ['GOOG', 'AAPL', 'MSFT'])
255 elif isinstance(self.symbols, DataFrame):
File ~\anaconda3\Lib\site-packages\pandas_datareader\yahoo\daily.py:153, in YahooDailyReader._read_one_data(self, url, params)
151 try:
152 j = json.loads(re.search(ptrn, resp.text, re.DOTALL).group(1))
--> 153 data = j["context"]["dispatcher"]["stores"]["HistoricalPriceStore"]
154 except KeyError:
155 msg = "No data fetched for symbol {} using {}"
TypeError: string indices must be integers, not 'str'
Hi Himanshu!
Thanks for reaching out.
Yahoo have recently made changes to their API so currently the code provided is unable to provide the dataset as shown in the video lectures. Potentially, this will only be a temporary issue (as have happened in the past), meaning that once Yahoo fix the related issues themselves, the code will start working again.
Of course, this depends entirely on their data teams, so we cannot guarantee the future outcome of these changes with certainty. Therefore, to ensure your smooth continuation with taking this course, please consider applying one of the following options (suggestions provided in order of preference according to us):
- use the *.csv files we've provided to the lectures
- use yfinance instead of pandas-datareader
- use pycryptodome or pycryptodomex (risking to use data that is not as reliable as of now)
Hope this helps.
Kind regards,
The 365 Team