Importing Data from Google Sheets to Pandas

Are you looking to import data from your Google Sheets into Pandas? Well, you’re in luck! In this article, we’ll guide you through the process step by step. Trust us, it’s easier than you think!

Step 1: Locate the URL of your Google Sheets

To begin, you need to find the URL of your Google Sheets. It usually looks something like this:

https://docs.google.com/spreadsheets/d/1mSEJtzy5L0nuIMRlY9rYdC5s899Ptu2gdMJcIalr5pg/edit#gid=1606352415

This URL has two parameters: {spreadsheet_id} and {sheet_id}.

https://docs.google.com/spreadsheets/d/{spreadsheet_id}/edit#gid={sheet_id}

Step 2: Modify the URL for CSV export

Pandas can directly read CSV files from a URL. To convert your Google Sheets URL into a CSV export URL, you need to make a few modifications:

• Replace /edit#gid={sheet_id} with /export?format=csv&gid={sheet_id}.
• If your Google Sheet only has one sheet or if you want to access the first sheet, you can omit the &gid={sheet_id} part.
• Your modified URL should now look like this: https://docs.google.com/spreadsheets/d/{spreadsheet_id}/export?format=csv or https://docs.google.com/spreadsheets/d/{spreadsheet_id}/export?format=csv&gid={sheet_id} for a specific sheet.

To make the URL change, you can use the following regular expression:

import re

def convert_google_sheet_url(url):
    pattern = r'https://docs.google.com/spreadsheets/d/([a-zA-Z0-9-_]+)(/edit#gid=(d+)|/edit.*)?'
    replacement = lambda m: f'https://docs.google.com/spreadsheets/d/{m.group(1)}/export?' + (f'gid={m.group(3)}&' if m.group(3) else '') + 'format=csv'
    new_url = re.sub(pattern, replacement, url)
    return new_url

Step 3: Use the modified URL in Pandas

Now that you have the modified URL, you can easily import your Google Sheets data into a Pandas DataFrame using the pd.read_csv() function. Let’s see it in action:

import pandas as pd

# Replace with your modified URL
url = 'https://docs.google.com/spreadsheets/d/1mSEJtzy5L0nuIMRlY9rYdC5s899Ptu2gdMJcIalr5pg/edit#gid=1606352415'
new_url = convert_google_sheet_url(url)

print(new_url) 
# https://docs.google.com/spreadsheets/d/1mSEJtzy5L0nuIMRlY9rYdC5s899Ptu2gdMJcIalr5pg/export?gid=1606352415&format=csv

# With the modified URL, you can now easily import your Google Sheets data into a Pandas DataFrame
df = pd.read_csv(new_url)

And just like that, you’ve successfully imported your Google Sheets data into Pandas! Now you can have a blast analyzing your data.

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Happy data analyzing!