to_gbq() 得到了一个意外的关键字参数“位置”
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【中文标题】to_gbq() 得到了一个意外的关键字参数“位置”【英文标题】：to_gbq() got an unexpected keyword argument 'location' 【发布时间】：2019-04-18 08:00:17 【问题描述】：问题是它说有一个意想不到的关键字，但 df.to_gbq(destination_table="********", project_id="********", if_exists 中有非关键字="替换")
欢迎任何关于如何解决此问题的想法，我在 Jupiter notebook 中运行它。但是当我说有一个意外的关键字“位置”时，我无法运行该函数
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'
包裹信息：
# Name Version Build Channel
_ipyw_jlab_nb_ext_conf 0.1.0 py36_0
_py-xgboost-mutex 2.0 cpu_0 conda-forge
_tflow_1100_select 0.0.3 mkl
_tflow_select 2.1.0 gpu
absl-py 0.5.0 py36_0
alabaster 0.7.11 py36_0
altgraph 0.15 py_0 conda-forge
anaconda-client 1.7.2 py36_0
anaconda-navigator 1.9.2 py36_0
anaconda-project 0.8.2 py36_0
appdirs 1.4.3 py36h28b3542_0
asn1crypto 0.24.0 py36_0
astor 0.7.1 py36_0
astroid 2.0.4 py36_0
astropy 3.0.4 py36h14c3975_0
atomicwrites 1.2.1 py36_0
attrs 18.2.0 py36h28b3542_0
autograd 1.2 py_1 conda-forge
automat 0.7.0 py36_0
autopep8 1.4 py36_0
babel 2.6.0 py36_0
backcall 0.1.0 py36_0
backports 1.0 py36_1
backports.shutil_get_terminal_size 1.0.0 py36_2
bcrypt 3.1.6 py36h7b6447c_0
beautifulsoup4 4.6.3 py36_0
bitarray 0.8.3 py36h14c3975_0
bkcharts 0.2 py36_0
blas 1.0 mkl
blaze 0.11.3 py36_0
bleach 2.1.4 py36_0
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blosc 1.14.4 hdbcaa40_0
bokeh 0.13.0 py36_0
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botocore 1.12.82 py_0
bottleneck 1.2.1 py36h035aef0_1
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ca-certificates 2019.1.23 0
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cairo 1.14.12 h8948797_3
certifi 2019.3.9 py36_0
cffi 1.11.5 py36he75722e_1
chardet 3.0.4 py36_1
click 6.7 py36_0
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clyent 1.2.2 py36_1
colorama 0.3.9 py36_0
conda 4.6.12 py36_1
conda-build 3.15.1 py36_0
conda-env 2.6.0 1
constantly 15.1.0 py36h28b3542_0
contextlib2 0.5.5 py36_0
cryptography 2.3.1 py36hc365091_0
cryptography-vectors 2.3.1 py36_1000 conda-forge/label/cf201901
cudatoolkit 9.0 h13b8566_0
cudnn 7.1.2 cuda9.0_0
cupti 9.0.176 0
curl 7.61.0 h84994c4_0
cycler 0.10.0 py36_0
cyrus-sasl 2.1.26 hf938e8d_3
cython 0.28.5 py36hf484d3e_0
cytoolz 0.9.0.1 py36h14c3975_1
dask 0.19.2 py36_0
dask-core 0.19.2 py36_0
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numpy 1.15.4 py36h7e9f1db_0 anaconda
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protobuf 3.6.0 py36hf484d3e_0
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py 1.6.0 py36_0
py-opencv 3.4.2 py36hb342d67_1
py-xgboost 0.80 py36hfc679d8_1 conda-forge
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pyasn1-modules 0.2.2 py36_0
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pycosat 0.6.3 py36h14c3975_0
pycparser 2.19 py36_0
pycrypto 2.6.1 py36h14c3975_9
pycurl 7.43.0.2 py36hb7f436b_0
pydot 1.3.0 py36_1
pyflakes 2.0.0 py36_0
pygments 2.2.0 py36_0
pyinstaller 3.4 py36ha92aebf_0 conda-forge
pyjwt 1.6.4 py_0 conda-forge
pylint 2.1.1 py36_0
pymongo 3.7.2 pypi_0 pypi
pyodbc 4.0.24 py36he6710b0_0
pyopenssl 18.0.0 py36_0
pyparsing 2.2.1 py36_0
pyqt 5.9.2 py36h05f1152_2
pysocks 1.6.8 py36_0
pytables 3.4.4 py36ha205bf6_0
pytest 3.8.1 py36_0
pytest-arraydiff 0.2 py36h39e3cac_0
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pytest-doctestplus 0.1.3 py36_0
pytest-openfiles 0.3.0 py36_0
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python 3.6.6 h6e4f718_2
python-dateutil 2.7.3 py36_0
python_http_client 3.1.0 py_0 conda-forge
pytorch 0.4.1 py36ha74772b_0 anaconda
pytz 2018.5 py36_0
pywavelets 1.0.0 py36hdd07704_0
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pyzmq 17.1.2 py36h14c3975_0
qt 5.9.6 h8703b6f_2
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qtconsole 4.4.1 py36_0
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snappy 1.1.7 hbae5bb6_3
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sortedcollections 1.0.1 py36_0
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sphinxcontrib-websupport 1.1.0 py36_1
spyder 3.3.1 py36_1
spyder-kernels 0.2.6 py36_0
sqlalchemy 1.2.12 py36h7b6447c_0
sqlite 3.26.0 h7b6447c_0 anaconda
statsmodels 0.9.0 py36h035aef0_0
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
terminado 0.8.1 py36_1
testpath 0.3.1 py36_0
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
unixodbc 2.3.7 h14c3975_0
uritemplate 3.0.0 pypi_0 pypi
urllib3 1.23 py36_0
wcwidth 0.1.7 py36_0
webencodings 0.5.1 py36_1
werkzeug 0.14.1 py36_0
wheel 0.31.1 py36_0
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
xlsxwriter 1.1.1 py36_0
xlwt 1.3.0 py36_0
xz 5.2.4 h14c3975_4
yaml 0.1.7 had09818_2
zeromq 4.2.5 hf484d3e_1
zict 0.1.3 py36_0
zlib 1.2.11 ha838bed_2
zope 1.0 py36_1
zope.interface 4.5.0 py36h14c3975_0
我尝试使用 conda 切换到另一个版本的 python 我是 3.8.6 现在我是 3.6.6。我也尝试切换熊猫版本
【问题讨论】：
请添加您得到的错误的最小工作复制。对于没有图书馆经验的人来说，用你发布的一行来复制问题就更难了。 我正在使用 to_gbq() 上传到 google bigquery，没有 sql 我在升级 Pandas 时遇到了同样的问题，位置字段是 pandas-gbq 0.5.0 版中的新内容。您是否尝试过在旧版本中运行您的代码？ 另外，您是否尝试过根据文档明确添加预期的位置参数：pandas.pydata.org/pandas-docs/stable/reference/api/… 【参考方案1】：我使用将 pandas-gbq 降级为 0.8.0 的魔法修复了它，我与 pandas 和 pandas-gbq 发生了一些冲突
【讨论】：
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