How to upload a .csv file to Google Colab ?

Brijesh Goyal
2 min readJan 18, 2021

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source: Image search in google.com

Step 1.
Create a Colab Notebook.

Go to below link and it will automatically ask you to create a notebook. Simply enter the name and hit enter.

colab.research.google.com/

Step 2.
Uploading the file.

First we need to upload the file(like csv, xlsx, etc) from our system to the Colab using the below code.

from google.colab import files 
uploaded = files.upload()

As soon as you run the above code it will show you a “Browse” button as in below figure. Click on it and upload your file (in my case its california_house.csv ). Wait till the file is 100% uploaded. The file is now accessible through uploaded object (as shown in above code)

So where does your csv file go? The file is uploaded to your Files section, which you can find by clicking on 3 bars to the top left of the web page as show in below figure. You can find all the uploaded files here.

Step 3.
Accessing the uploaded file.

To access our california_house.csvfile we use below code.

import pandas as pd
import io
df = pd.read_csv(io.BytesIO(uploaded['california_house.csv']))
df.head()

And the output looks as below:

The reason why we use BytesIO() is little complex and for more you can read about it here:

Thanks for reading.
Feedbacks are welcome :)

You can find me here.
brijeshgoyal0808@gmail.com

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Brijesh Goyal
Brijesh Goyal

Written by Brijesh Goyal

I am a machine learning enthusiast and love to do coding. Currently on my path to explore more things.

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