How can I download the complete Jupyter notebook (.ipynb) I created on Google Colab, including the code, comments, and outputs, as I am only able to download the notebook with the code and comments, but not the output?
I tried to downlaod .ipynb file manually from file > Download > .ipynb on Google Colab
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I know that for jupyter notebooks and jupyter lab, there are available code formatter extensions such as nb_blackor blackcellmagic. However when I installed them, it doesn't seem to work on google colab.
Do you know if there are any native option in colab or an extension that formats code (pep8 compliant)?
I don't think there's an extension directly in Colab.
What you could do, though, is to download your notebook, run
pip install -U nbqa
nbqa black notebook.ipynb
and then reupload your (now formatted) notebook to Colab
disclaimer: I'm the author of nbQA
UPDATE: as of version 21.8b0, black runs directly on notebooks, no third-party tool required
I have tried everything, none of the JupyterLab/Notebook backend hack methods seem to work as of February 2022. However, until later here is a relatively simple workaround:
[Run only once, at startup]
Connect to your drive
from google.colab import drive
drive.mount("/content/drive")
Install black for jupyter
!pip install black[jupyter]
Restart kernel
[Then]
Place your .ipynb file somewhere on your drive
Anytime you want format your code run:
!black /content/drive/MyDrive/YOUR_PATH/YOUR_NOTEBOOK.ipynb
Don't save your notebook, hit F5 to refresh the page
Voila!
Now save!
I am working on deep learning architecture which uses shared library files which are built on the local system, now my computer is not having space to run my code, so I want to run my code in colab. To run on colab, the colab is not showing my shared libraries file which I am trying to build on google colab.
You need to mount your GDrive and copy the files from Colab cloud working directory
!mv /content/filename /content/gdrive/My\ Drive/
So I cannot successfully install miniconda and decided to work in Google Colab. But my local repository is in Google Drive. All of the jupyter notebook that I want to work on is store in Google Drive. I want to work on them in Google Colab. However, I cannot open the files other than the ones stored in Colab folder of Google drive. What should I do now?
What works for me is opening the notebook from Google Drive, not from Colab.
The following steps:
Open Google Drive in your browser, go to the notebook (ipynb) file in your repo (sub)folder;
Right-click the file and select 'Open with Google Colaboratory', now Colab opens with the notebook;
For this you might have to install the 'Open in Colab' chrome extension
Mount Google Drive from Colab (if not mounted yet), see code snippet;
Change directory to the folder where you want to run your notebook, see code snippet;
Now I can run my notebook
Mount drive:
from google.colab import drive
drive.mount('/content/drive')
Change directory to your repository folder:
%cd drive/My Drive/ColabNotebooks/(YOUR_REPO_PATH)
To open and work a notebook in your Google drive, open it from Google Drive UI in Chrome. From the Google colab UI menu -> Open notebook, we can only open those in Colab Notebooks folder.
Easy way would be to save all your notebooks in the Colab Notebooks folder.
First you need to mount google drive and then
from google.colab import drive
drive.mount('/content/gdrive')
Click the link on colb and authenticate (copy password and paste in colab) to mount and access your gdrive.
You can access your folder as shown below
path_to_data = '/content/gdrive/My Drive/MyFolder_where_data_stored'
Unique_Labels_List = os.listdir(path_to_data)
After running model, save the model, zip and download to local.
!zip -r ./MyFolder.zip /content/MyFolder
files.download("/content/MyFolder.zip")
There are many other things you can do. Check this resource for some more commands and you can find many more by searching in google. Thanks!
I want to train yolo on my own data and am using Google Colab but unable to edit .cfg files stored in contents folder. One solution I can think of is to fuse the google drive and installing darknet in gmail drive and running the program with drive as my working directory.
I have a Python file available under some URL, for example
https://gist.githubusercontent.com/messa/d19ad7fd4dc0f95df9caf984caef127c/raw/4d0daebdcfcf16ea3b7914ee6186bd98dbfb3c20/demo.py
In reality it will not be gist but some courseware/homework review software.
How can I open such URL using Google Colab so I can for example run the Python code?
I know I can build colab URL for Github gists or repositories, but can I do it for any arbitrary URL?
There is currently no way to do what you are asking for – to construct a URL that will cause Colab to automatically load the contents of a .py file at a particular URL into a new Colab notebook.
The closest thing to this is to host a notebook on github, and then use a Colab url to open it: e.g.
http://github.com/username/repository/path/to/notebook.ipynb can be opened in Colab using http://colab.research.google.com/github/username/repository/path/to/notebook.ipynb
http://gist.github.com/username/hash/filename.ipynb can be opened in Colab using http://colab.research.google.com/gist/username/hash/filename.ipynb