In google colab, I easily mount my google drive with this:
from google.colab import drive
drive.mount('/content/gdrive')
In kaggle's notebook, however, it gives this error:
KeyError Traceback (most recent call last)
<ipython-input-14-2b128295b616> in <module>
2 # !pip install google-colab
3 from google.colab import drive
----> 4 drive.mount('/content/gdrive')
5 # Set your own project id here
6 # PROJECT_ID = 'your-google-cloud-project'
/opt/conda/lib/python3.6/site-packages/google/colab/drive.py in mount(mountpoint, force_remount, timeout_ms)
80 return
81
---> 82 env = _env()
83 home = env.home
84 root_dir = env.root_dir
/opt/conda/lib/python3.6/site-packages/google/colab/drive.py in _env()
41 home = _os.environ['HOME']
42 root_dir = _os.path.realpath(
---> 43 _os.path.join(_os.environ['CLOUDSDK_CONFIG'], '../..'))
44 inet_family = 'IPV4_ONLY'
45 dev = '/dev/fuse'
/opt/conda/lib/python3.6/os.py in __getitem__(self, key)
667 except KeyError:
668 # raise KeyError with the original key value
--> 669 raise KeyError(key) from None
670 return self.decodevalue(value)
671
KeyError: 'CLOUDSDK_CONFIG'
This is my setup in kaggle notebook (also tested this , did not work):
!pip install google-colab # I don't know if this is the correct package
from google.colab import drive
drive.mount('/content/gdrive')
In fact, the google-colab
library does not exist in the Kaggle Kernel. In this way, I use the following procedure to deal with this problem in Kaggle Kernel:
First, extract the ID of your desire file from google drive:
Next, install gdown
PyPI module using conda
:
! conda install -y gdown
Finally, download the file using gdown
and the intended ID:
!gdown --id <put-the-ID>
For example:
!gdown --id 1-1wAx7b-USG0eQwIBVwVDUl3K1_1ReCt
google-colab
不由 Google 维护,并且像drive.mount
这样的 Colab 库无法在 Colab 环境本身之外运行。
As the stack trace suggests you have some keys missing.
You can get this key by logging into GCP and searching for creds
To use these secretively: place this key into Kaggle Secrets Add-ons.
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