Key Error (trying to fetch out of range data)

[jlaurentino]

File ~/jupyter_dir/lib/python3.9/site-packages/pandas/core/indexes/base.py:3623, in Index.get_loc(self, key, method, tolerance)
3621 return self._engine.get_loc(casted_key)
3622 except KeyError as err:
-> 3623 raise KeyError(key) from err
3624 except TypeError:
3625 # If we have a listlike key, _check_indexing_error will raise
3626 # InvalidIndexError. Otherwise we fall through and re-raise
3627 # the TypeError.
3628 self._check_indexing_error(key)

KeyError: 'Date'

INTC 1900-01-01 through 1980-03-16, for example.

There is no data for that period. We should get an empty string and catch the error on a try-except routine. Pandas try to read nonexistent data and crashes.

Not a big issue but when trying to release the internet from unnecessary traffic it should count.

In my case, I keep some data for research and only try to fetch whatever data is not in the range already on file.

Best,

Laurentino

[Noah Stoffman]

This is an interesting example because if you call it with multiple tickers it will work as you want:

pdr.get_data_yahoo(["INTC", "IBM"], 1970, 1975)

The issue is that _dl_mult_symbols looks for the KeyError exception to deal with missing data, but a single call to _read_one_data doesn't generate nans.

@bashtage is there a reason I shouldn't add to _read_one_data to make it return missing values between start and stop?