It is not clear from the documentation if as_pandas() is supported for other core endpoints than time_series since the use case is the same, and nothing regarding supported datatypes are mentioned. It would be nice to have quotes supporting as_pandas().
When calling as_pandas() on a QuoteEndpoint object, I get the following error:
Traceback (most recent call last):
File "/opt/homebrew/Caskroom/miniforge/base/envs/api/lib/python3.9/site-packages/twelvedata/utils.py", line 147, in convert_collection_to_pandas
return pandas.DataFrame.from_dict(val, orient="index", dtype="float")
File "/opt/homebrew/Caskroom/miniforge/base/envs/api/lib/python3.9/site-packages/pandas/core/frame.py", line 1677, in from_dict
return cls(data, index=index, columns=columns, dtype=dtype)
File "/opt/homebrew/Caskroom/miniforge/base/envs/api/lib/python3.9/site-packages/pandas/core/frame.py", line 737, in __init__
mgr = ndarray_to_mgr(
File "/opt/homebrew/Caskroom/miniforge/base/envs/api/lib/python3.9/site-packages/pandas/core/internals/construction.py", line 340, in ndarray_to_mgr
values = sanitize_array(
File "/opt/homebrew/Caskroom/miniforge/base/envs/api/lib/python3.9/site-packages/pandas/core/construction.py", line 567, in sanitize_array
subarr = _try_cast(data, dtype, copy, raise_cast_failure)
File "/opt/homebrew/Caskroom/miniforge/base/envs/api/lib/python3.9/site-packages/pandas/core/construction.py", line 781, in _try_cast
subarr = np.array(arr, dtype=dtype, copy=copy)
ValueError: could not convert string to float: 'AAPL'
It is not clear from the documentation if
as_pandas()
is supported for other core endpoints thantime_series
since the use case is the same, and nothing regarding supported datatypes are mentioned. It would be nice to have quotes supportingas_pandas()
.When calling
as_pandas()
on aQuoteEndpoint
object, I get the following error: