I need to write from google.colab import drive
drive.mount('/content/gdrive') in colab cell but i don't know where it is in Colaboratory?
You can click on the mount drive option instead.
Related
I would like to store the tensorboard run data. However, Google Colab removes all files after a short time.
I have already mounted my google drive like so:
from google.colab import drive
drive.mount('/content/drive')
Doing tests and running Tensorboard works just fine when i run:
%tensorboard --logdir runs
and i am also able to see the folder and files being created while running the tests.
However, they disappear after a short while and i would like obviously store the test data somewhere. Can i do this somehow on my Google Drive?
I did connect Google Collab with my Google Drive
from google.colab import drive
drive.mount('/content/drive/')
and I can already see my local Google Drive folders and files
pwd
>> /content
ls drive/MyDrive/
>> MyFolder
But now, how can I import local modules I have installed within /MyFolder/SubFolder/Source? Will I have to mark all the directories in-between as python modules adding __init__.py to all of them?
Currently, my notebook is located within /MyFolder, so I can easily import my modules with
from SubFolder.source.mypersonalmodule import *
ALTERNATIVELY
Is there a way to run my notebook from content/drive/MyDrive/MyFolder/?
Thank you for your help!
Just specify where your file is starting from drive.MyDrive.
For example, if I had a file test_function.py in the root of my Google Drive with the function square in it, I can import it by
from drive.MyDrive.test_function import square
Example image of execution and printing of paths:
And yes, you are able to run your Jupyter Notebooks from anywhere in your Google Drive. Just find the file, click on it, and click on "Open with Google Colaboratory" at the top when Google says there is "No preview available".
As show i am using VM Jupyter notebook from Google cloud and want to import csv file from my local laptop
Click on File ==> Open to open a new window with the dashboard view.
Then on the top right, click on Upload to upload files from your local laptop.
I downloaded images from a url using urlretrieve (urllib) in Google Colab. However, after downloading the images, I am not able to locate the images.
from google.colab import drive
drive.mount('/content/gdrive', force_remount=True)
root_dir = "/content/gdrive/My Drive/"
base_dir = root_dir + 'my-images/'
Now you may access your Google Drive as a file system using standard python commands to read and write files. Don’t forget to append base_dir before root path(s) where you need to use. Here the base_dir variable expects a folder named my-images at the location pointed by root_dir.
Google Colab lets you access and use your Google Drive as a storage for a time constrained runtime session. It is not a disk storage on your local machine or physical computer. Notebooks run by connecting to virtual machines that have maximum lifetimes that can be as much as 12 hours.
Notebooks will also disconnect from VMs when left idle for too long which in turn also disconnects your Google Drive session. The code in the answer only shows one of many ways to mount your Google Drive in your colab runtime's virtual machine.
For more documentation, refer to this link and faq.
Suppose, your working Google Drive Folder is
Colab Notebooks/STUDY/
Its actual path is drive/My Drive/Colab Notebooks/STUDY
1) First mount and authenticate yourself with the following code
from google.colab import drive
drive.mount('/content/drive')
2) Second change your current folder to point working folder STUDY
os.chdir("drive/My Drive/Colab Notebooks/STUDY")
os.listdir()
Done!
I am using Google Colaboratory to run my machine learning project. I wanted to import .csv into pandas and use it for further processing, but I am facing an error stating that the file is not found. Do I need to provide any authorization to access that file or is it mandatory to upload file into google colab? That file already exists in same folder on Google Drive as that of .ipynb notebook.
Code: pandas read_csv function to read file
Error: Unable to locate
Do I need to provide any authentication or something like that?
See the I/O sample notebook for examples showing how to work with local files and those stored on Drive.