Help regarding colab project.
i am working on walmart sales prediction and i have created the required dataframe in a colab file, now for prediction of future sales i need to access that file and if i do that in the same colab file then the size being big the ram crashes... so i am thinking of accessing it in another colab file. How to do it and i dont want to download the file and upload it in that colab project.
df.to_csv('wm_sales.csv')
i have saved the file and its showing in my folder in colab and now i want to use it in another project.
You can simply mount your google drive disk and save any files in the specified directory:
Related
This seems wierd, but my Google Colab was working fine until the last two days the Download .ipynb option is not downloading .ipynb files but rather txt files. I have to rename the file to ipynb and the notebooks are working fine. Anybody have faced such issues with Colab?
facing same problem while downloading kaggle file as .txt rather than ipynb file i just Re-named file name as ipynb then after got it.
The simple solution to this is, while saving to local system,by default colab may give as json or text file. But we can change it to All files and add .ipynb as suffix to the file name
I have two files in my Google Drive with .ipynb extension, but one of them is marked as Unknown File type and has a blue icon. What can I do to change the second one to a Colaboratory file?
If you want to get that icon you should save a copy from Colab
Upload your file to Drive
Open a file with Colab
Save a copy in Drive
Go to Drive and find folder
Inside you will find your file with the Colab icon
I uploaded a Jupyter notebook to Google Colab. The notebook accessed a couple of images from local path /images/pic1.png How to upload data to the directory in Colab where the notebook is running? Please note that these are temporary files. So, I don't mind them being deleted on terminating the session.
I used Files upload feature but it doesn't seem to upload to Google Drive. I want to upload the folder with the same hierarchy as in the local environment without needing any change in the paths of the files in the code.
The better way I've found is mounting a folder in your Google Drive. Upload the image folder to your drive. After that, in your notebook you write:
from google.colab import drive
drive.mount('/content/drive')
After you allow the authentication, you can work using the path "/content/drive/My Drive" with the path for your image folder. Like that:
from IPython.display import Image
Image("/content/drive/My Drive/images/pic1.png")
See more in the notebook with documentation: https://colab.research.google.com/notebooks/io.ipynb
I have some problems when trying to add .csv files to my Google Colab
I already added these file to my Drive, and copy its exact links to my notebooks, but I still received error File not found
Please help me
My data files 're more than 25 MB, so I cannot add them from Github
Can you try adding the files using Upload option from files tab in the left side of your colab notebook.
see the image carefullyi couldn't load custom data folder from google drive to google colab.though i mounted google drive.like instead of MNIST data set i want to load my own image data set folder.i have tried pydrive wrapper.but i need simple solution.
suppose i have dataset of images inside google drive.how to load it to google colab?
from google.colab import drive
drive.mount('/content/gdrive')
then
with open('/content/gdrive/My Drive/foo.txt', 'w') as f:
f.write('Hello Google Drive!')
!cat /content/gdrive/My\ Drive/foo.txt
here insted of foo.txt i have an image folder called Dog inside ml-data folder.but i can't load it.how to load it in google colab directly from google drive as it is in my local hard drive.
To load data directly from the local machine, you need to follow these steps:
Go to files [left side menu]
Click on upload to session storage
Select file(s) from your machine to upload
It will prompt something indicating that file(s) will be available for the current session only, click ok.
The file(s) will be uploaded in the directory. Click on it (left and right-click both work the same).
And then;
Copy path & use it inside pd.read_csv() function.
Note: After the session is terminated, files will be lost from colab session. To use it again, you'll need to upload it again.
Many times, we prefer to it have all our data in a GitHub repository or in a google drive folder to fetch from there.
Reading many files from Google Drive through colab is going to be less performant and more unreliable than first copying a .zip or similar single file from Drive to the colab VM and unzipping it outside the drive mount directory, and then using that copy of the data.