Untitled
{ "errorMessage": "Cannot set a DataFrame with multiple columns to the single column ticker_prefix", "errorType": "ValueError", "requestId": "ae8d4164-b358-4d96-a4b1-cef8dcdb3ecf", "stackTrace": [ " File \"/var/task/lambda_function.py\", line 463, in lambda_handler\n res = processor.process(persist_z_spread_table=persist_z_spread_table,\n", " File \"/var/task/lambda_function.py\", line 434, in process\n raise e\n", " File \"/var/task/lambda_function.py\", line 426, in process\n input_df = self.get_valid_mid_data(persist_z_spread_table=persist_z_spread_table,\n", " File \"/var/task/lambda_function.py\", line 244, in get_valid_mid_data\n df['ticker_prefix'] = df.apply(lambda x: x['ticker'][0:4], axis=1)\n", " File \"/opt/python/pandas/core/frame.py\", line 3968, in __setitem__\n self._set_item_frame_value(key, value)\n", " File \"/opt/python/pandas/core/frame.py\", line 4123, in _set_item_frame_value\n raise ValueError(\n" ] }
Leave a Comment