Hello team,
I'm getting an error when sending a request through Refinitiv Data Library
Environment: Codebook
RD Version: 1.0.0b16
Note: it seems TR.MUNIRating is causing the bug.
Note 2: the same request run's fine in EDAPI.
Request:
import refinitiv.data as rd rd.open_session() instruments = ['PH010907888='] lfields = [ 'TR.RiskCountry', 'TR.RiskCountryCode', 'TR.CDSRefEntCtryCode2', 'TR.GR.Rating', 'TR.MUNIRating', 'TR.IssuerRating', 'TR.FiFitchsRating', 'TR.FiIssuerSPLongRating', 'TR.FiIssuerFitchLongRating', 'TR.FiSPRating', 'TR.FiIndustrySubSectorDescription' ] rd.get_data( universe=instruments, fields=lfields )
Result:
--------------------------------------------------------------------------- ValueError Traceback (most recent call last) /tmp/ipykernel_229/2241032370.py in <module> 16 'TR.FiIndustrySubSectorDescription' 17 ] ---> 18 rd.get_data( 19 universe=instruments, 20 fields=lfields /opt/conda/lib/python3.8/site-packages/refinitiv/data/_fin_coder_layer/get_data.py in get_data(universe, fields, parameters, use_field_names_in_headers) 73 if isinstance(universe, str): 74 universe = [universe] ---> 75 return _get_data( 76 _fundamental_data=fundamental_and_reference.Definition, 77 _pricing_stream=Stream(universe=universe, fields=fields), /opt/conda/lib/python3.8/site-packages/refinitiv/data/_fin_coder_layer/get_data.py in _get_data(_fundamental_data, _pricing_stream, **kwargs) 175 176 columns = get_name_columns_without_datetime(result) --> 177 result[columns] = result[columns].replace([pd.NaT, np.NaN], pd.NA) 178 179 return result /opt/conda/lib/python3.8/site-packages/pandas/core/frame.py in __setitem__(self, key, value) 3598 self._setitem_frame(key, value) 3599 elif isinstance(key, (Series, np.ndarray, list, Index)): -> 3600 self._setitem_array(key, value) 3601 elif isinstance(value, DataFrame): 3602 self._set_item_frame_value(key, value) /opt/conda/lib/python3.8/site-packages/pandas/core/frame.py in _setitem_array(self, key, value) 3639 check_key_length(self.columns, key, value) 3640 for k1, k2 in zip(key, value.columns): -> 3641 self[k1] = value[k2] 3642 3643 elif not is_list_like(value): /opt/conda/lib/python3.8/site-packages/pandas/core/frame.py in __setitem__(self, key, value) 3600 self._setitem_array(key, value) 3601 elif isinstance(value, DataFrame): -> 3602 self._set_item_frame_value(key, value) 3603 elif ( 3604 is_list_like(value) /opt/conda/lib/python3.8/site-packages/pandas/core/frame.py in _set_item_frame_value(self, key, value) 3727 len_cols = 1 if is_scalar(cols) else len(cols) 3728 if len_cols != len(value.columns): -> 3729 raise ValueError("Columns must be same length as key") 3730 3731 # align right-hand-side columns if self.columns ValueError: Columns must be same length as key