сь использоватьto_gbq для обновления таблицы Google BigQuery я получаю ответ:

GenericGBQException: Reason: 400 Error while reading data, error message: JSON table encountered too many errors, giving up. Rows: 1; errors: 1.

Мой код:

gbq.to_gbq(mini_df,'Name-of-Table','Project-id',chunksize=10000,reauth=False,if_exists='append',private_key=None)

и мой dataframe mini_df выглядит так:

date    request_number  name    feature_name    value_name  value
2018-01-10  1   1   "a" "b" 0.309457
2018-01-10  1   1   "c" "d" 0.273748

Пока я бегуto_gbqи на BigQuery нет таблицы, я вижу, что таблица создается со следующей схемой:

дата STRING NULLABLE
request_number STRING NULLABLE
имя STRING NULLABLE
имя_функции STRING NULLABLE
имя_значения STRING NULLABLE
значение FLOAT NULLABLE

Что я делаю неправильно? Как я могу решить это?

П.С., остальные исключения:

BadRequest                                Traceback (most recent call last)
~/anaconda3/envs/env/lib/python3.6/site-packages/pandas_gbq/gbq.py in load_data(self, dataframe, dataset_id, table_id, chunksize)
    589                         destination_table,
--> 590                         job_config=job_config).result()
    591                 except self.http_error as ex:

~/anaconda3/envs/env/lib/python3.6/site-packages/google/cloud/bigquery/job.py in result(self, timeout)
    527         # TODO: modify PollingFuture so it can pass a retry argument to done().
--> 528         return super(_AsyncJob, self).result(timeout=timeout)
    529 

~/anaconda3/envs/env/lib/python3.6/site-packages/google/api_core/future/polling.py in result(self, timeout)
    110             # Pylint doesn't recognize that this is valid in this case.
--> 111             raise self._exception
    112 

BadRequest: 400 Error while reading data, error message: JSON table encountered too many errors, giving up. Rows: 1; errors: 1.

During handling of the above exception, another exception occurred:

GenericGBQException                       Traceback (most recent call last)
<ipython-input-28-195df93249b6> in <module>()
----> 1 gbq.to_gbq(mini_df,'Name-of-Table','Project-id',chunksize=10000,reauth=False,if_exists='append',private_key=None)

~/anaconda3/envs/env/lib/python3.6/site-packages/pandas/io/gbq.py in to_gbq(dataframe, destination_table, project_id, chunksize, verbose, reauth, if_exists, private_key)
    106                       chunksize=chunksize,
    107                       verbose=verbose, reauth=reauth,
--> 108                       if_exists=if_exists, private_key=private_key)

~/anaconda3/envs/env/lib/python3.6/site-packages/pandas_gbq/gbq.py in to_gbq(dataframe, destination_table, project_id, chunksize, verbose, reauth, if_exists, private_key, auth_local_webserver)
    987         table.create(table_id, table_schema)
    988 
--> 989     connector.load_data(dataframe, dataset_id, table_id, chunksize)
    990 
    991 

~/anaconda3/envs/env/lib/python3.6/site-packages/pandas_gbq/gbq.py in load_data(self, dataframe, dataset_id, table_id, chunksize)
    590                         job_config=job_config).result()
    591                 except self.http_error as ex:
--> 592                     self.process_http_error(ex)
    593 
    594                 rows = []

~/anaconda3/envs/env/lib/python3.6/site-packages/pandas_gbq/gbq.py in process_http_error(ex)
    454         # <https://cloud.google.com/bigquery/troubleshooting-errors>`__
    455 
--> 456         raise GenericGBQException("Reason: {0}".format(ex))
    457 
    458     def run_query(self, query, **kwargs):

GenericGBQException: Reason: 400 Error while reading data, error message: JSON table encountered too many errors, giving up. Rows: 1; errors: 1.