Extract Google Drive zip from Google colab noteboo

Question

I already have a zip of (2K images) dataset on a google drive. I have to use it in a ML training algorithm. Below Code extracts the content in a string format:

from pydrive.auth import GoogleAuth
from pydrive.drive import GoogleDrive
from google.colab import auth
from oauth2client.client import GoogleCredentials
import io
import zipfile
# Authenticate and create the PyDrive client.
# This only needs to be done once per notebook.
auth.authenticate_user()
gauth = GoogleAuth()
gauth.credentials = GoogleCredentials.get_application_default()
drive = GoogleDrive(gauth)

# Download a file based on its file ID.
#
# A file ID looks like: laggVyWshwcyP6kEI-y_W3P8D26sz
file_id = '1T80o3Jh3tHPO7hI5FBxcX-jFnxEuUE9K' #-- Updated File ID for my zip
downloaded = drive.CreateFile({'id': file_id})
#print('Downloaded content "{}"'.format(downloaded.GetContentString(encoding='cp862')))

But I have to extract and store it in a separate directory as it would be easier for processing (as well as for understanding) of the dataset.

I tried to extract it further, but getting "Not a zipfile error"

dataset = io.BytesIO(downloaded.encode('cp862'))
zip_ref = zipfile.ZipFile(dataset, "r")
zip_ref.extractall()
zip_ref.close()

Google Drive Dataset

Note: Dataset is just for reference, I have already downloaded this zip to my google drive, and I'm referring to file in my drive only.

Answer 1

For Python

Connect to drive,

from google.colab import drive drive.mount('/content/drive')

Check for directory

!ls and !pwd

For unzip

!unzip drive/"My Drive"/images.zip

Answer 2

First create a new directory:

!mkdir file_destination

Now, it's the time to inflate the directory with the unzipped files with this:

!unzip file_location -d file_destination

Answer 3

First, install unzip on colab:

!apt install unzip

then use unzip to extract your files:

!unzip  source.zip -d destination.zip