问题是它说有一个意外的关键字，但是df.to_gbq（destination_table =“ ********”，project_id =“ ********”，if_exists =“ replace ”）
任何关于如何解决此问题的想法都值得欢迎，我正在Jupiter Notebook中运行它。但是当我说有一个意外的关键字“位置”时，我无法运行该功能
import pandas as pd
import os
import re
import datetime
import time
humans = [
{'name':'Tom', 'gender': 'M'},
{'name':'Bob', 'gender': 'M'}
]
df = pd.DataFrame(humans)
df.to_gbq(destination_table="random.humans", project_id="top-secret", if_exists="replace")
<ipython-input-19-dae3425a89d7> in <module>()
----> 1 result.to_gbq(destination_table="random.humans", project_id="top-secret", if_exists="replace")
~/anaconda3/lib/python3.6/site-packages/pandas/core/frame.py in to_gbq(self, destination_table, project_id, chunksize, reauth, if_exists, auth_local_webserver, table_schema, location, progress_bar, credentials, verbose, private_key)
1426 table_schema=table_schema, location=location,
1427 progress_bar=progress_bar, credentials=credentials,
-> 1428 verbose=verbose, private_key=private_key)
1429
1430 @classmethod
~/anaconda3/lib/python3.6/site-packages/pandas/io/gbq.py in to_gbq(dataframe, destination_table, project_id, chunksize, reauth, if_exists, auth_local_webserver, table_schema, location, progress_bar, credentials, verbose, private_key)
160 auth_local_webserver=auth_local_webserver, table_schema=table_schema,
161 location=location, progress_bar=progress_bar,
--> 162 credentials=credentials, verbose=verbose, private_key=private_key)
TypeError: to_gbq() got an unexpected keyword argument 'location'
套餐信息：
# Name Version Build Channel
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sqlite 3.26.0 h7b6447c_0 anaconda
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sympy 1.3 py36_0
tblib 1.3.2 py36_0
tensorboard 1.12.0 py36hf484d3e_0
tensorflow 1.12.0 gpu_py36he68c306_0
tensorflow-base 1.12.0 gpu_py36h8e0ae2d_0
tensorflow-gpu 1.12.0 h0d30ee6_0 anaconda
termcolor 1.1.0 py36_1
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tk 8.6.8 hbc83047_0
toolz 0.9.0 py36_0
tornado 5.1.1 py36h7b6447c_0
tqdm 4.26.0 py36h28b3542_0
traitlets 4.3.2 py36_0
twisted 18.7.0 py36h14c3975_1
typed-ast 1.1.0 py36h14c3975_0
unicodecsv 0.14.1 py36_0
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widgetsnbextension 3.4.2 py36_0
wrapt 1.10.11 py36h14c3975_2
xgboost 0.80 py36hfc679d8_1 conda-forge
xlrd 1.1.0 py36_1
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xlwt 1.3.0 py36_0
xz 5.2.4 h14c3975_4
yaml 0.1.7 had09818_2
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我尝试使用conda切换到python的另一个版本，我是3.8.6，现在是3.6.6。我也尝试切换熊猫版本
最佳答案
我用将pandas-gbq降级到0.8.0的魔术来修复它，我与pandas和pandas-gbq有一些冲突