Read excel from google drive colab
Colab (short for Collaboratory) is Google’s free platform which enables users to code in Python. It is a Jupyter Notebook-based cloud service, provided by Google. This platform allows us to train the Machine Learning models directly in the cloud and all for free. Google Colab does whatever your Jupyter Notebook does and a bit more, i.e. you can use GPU and TPU for free. Some of Google Colab’s advantages include quick installation and real-time sharing of Notebooks
between users. Show Ways to import CSVLoad data from local driveTo upload the file from the local drive write the following code in the cell and run it Python3
you will get a screen as, Click on “choose files”, then select and download the CSV file from your local drive. Later write the following code snippet to import it into a pandas dataframe. Python3
Output: From GithubIt is the easiest way to upload a CSV file in
Colab. For this go to the dataset in your GitHub repository, and then click on “View Raw”. Copy the link to the raw dataset and pass it as a parameter to the read_csv() in pandas to get the dataframe. Python3
Output: From your Google driveWe can import datasets that are uploaded on our google drive in two ways : Python3
Output: Click on the link prompted to get the authentication to allow Google to access your Drive. You will see a screen with “Google Cloud SDK wants to access your Google Account” at the top. After you allow permission, copy the given verification code and paste it into the
box in Colab. Python3Output: 2. Mounting
the drive
from google.colab import drive drive.mount(‘/content/drive’) Just like with the previous method, the commands will bring you to a Google Authentication step. Later complete the verification as we did in the last method. Now in the Notebook, at the top-left, there is a File menu and then click on Locate in Drive, and then find your data. Then copy the path of the CSV file in a variable in your notebook, and read the file using read_csv(). path = "copied path" df_bonus = pd.read_csv(path) Now, to read the file run the following code. Python3
Output: How do you read a file from Google Drive in Colab?To start, log into your Google Account and go to Google Drive. Click on the New button on the left and select Colaboratory if it is installed (if not click on Connect more apps, search for Colaboratory and install it). From there, import Pandas as shown below (Colab has it installed already).
How do you load dataset from Google Drive in Colab?Accessing Kaggle datasets from Google Colab. To generate your API token, go to “My Account”, then “Create New API Token”.. Open the kaggle. ... . Then run the below commands in Colab: ... . Once the kaggle.json file has been created in Colab, and the Kaggle library has been installed, you can search for a dataset using.. How do I read dataset in Google Colab?Load datasets from Google Drive
Scroll down to Open files from Google Drive and click on INSERT. Go to the URL link on your browser to grant access to Colab, copy the authorization code and paste it into the space given in the notebook. You can now access all your datasets on your Drive directly on Colab.
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