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:
In your browser, navigate to drive.google.com.
Right-click on the file, and click "Get a shareable link"
Then extract the ID of file from URL:
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
is not maintained by Google, and Colab libraries like drive.mount
won't work outside of the Colab environment itself.
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