Basic example on fetching data fails with TypeError (Python 3.11 and 3.11.2) both on Macos and Linux Ubuntu 22.04

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In [1]: import json
   ...: import ffn
   ...:
   ...: # ffn.get returns a pandas dataframe of market data.
   ...: data = ffn.get(
   ...:     'tsla,spot,nflx,nke,addyy',
   ...:     start='2019-01-01',
   ...:     end='2020-12-31'
   ...: )
   ...: print(data.head())
   ...: stats = data.calc_stats()
   ...: print(stats.display())
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
Cell In[1], line 5
      2 import ffn
      4 # ffn.get returns a pandas dataframe of market data.
----> 5 data = ffn.get(
      6     'tsla,spot,nflx,nke,addyy',
      7     start='2019-01-01',
      8     end='2020-12-31'
      9 )
     10 print(data.head())
     11 stats = data.calc_stats()

File /usr/local/lib/python3.11/site-packages/decorator.py:232, in decorate.<locals>.fun(*args, **kw)
    230 if not kwsyntax:
    231     args, kw = fix(args, kw, sig)
--> 232 return caller(func, *(extras + args), **kw)

File /usr/local/lib/python3.11/site-packages/ffn/utils.py:34, in _memoize(func, *args, **kw)
     32     return cache[key]
     33 else:
---> 34     cache[key] = result = func(*args, **kw)
     35     return result

File /usr/local/lib/python3.11/site-packages/ffn/data.py:76, in get(tickers, provider, common_dates, forward_fill, clean_tickers, column_names, ticker_field_sep, mrefresh, existing, **kwargs)
     74 # call provider - check if supports memoization
     75 if hasattr(provider, "mcache"):
---> 76     data[ticker] = provider(ticker=t, field=f, mrefresh=mrefresh, **kwargs)
     77 else:
     78     data[ticker] = provider(ticker=t, field=f, **kwargs)

File /usr/local/lib/python3.11/site-packages/decorator.py:232, in decorate.<locals>.fun(*args, **kw)
    230 if not kwsyntax:
    231     args, kw = fix(args, kw, sig)
--> 232 return caller(func, *(extras + args), **kw)

File /usr/local/lib/python3.11/site-packages/ffn/utils.py:34, in _memoize(func, *args, **kw)
     32     return cache[key]
     33 else:
---> 34     cache[key] = result = func(*args, **kw)
     35     return result

File /usr/local/lib/python3.11/site-packages/ffn/data.py:140, in yf(ticker, field, start, end, mrefresh)
    137 if field is None:
    138     field = "Adj Close"
--> 140 tmp = pdata.get_data_yahoo(ticker, start=start, end=end)
    142 if tmp is None:
    143     raise ValueError("failed to retrieve data for %s:%s" % (ticker, field))

File /usr/local/lib/python3.11/site-packages/pandas_datareader/data.py:80, in get_data_yahoo(*args, **kwargs)
     79 def get_data_yahoo(*args, **kwargs):
---> 80     return YahooDailyReader(*args, **kwargs).read()

File /usr/local/lib/python3.11/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 /usr/local/lib/python3.11/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'
pmorissette / ffn

Basic example on fetching data fails with TypeError (Python 3.11 and 3.11.2) both on Macos and Linux Ubuntu 22.04 #191
