![]() ![]() As the sample data is hard-coded and will never change. Obviously re-running all this code would accomplish nothing. Simply replace the creds with your service file, the with the workbook name and with the sheet tab name, the (1,1) is where the dataframe will begin, so A1. open ( '' ) # open the sheet by name sheet = wb. authorize ( service_file = creds ) wb = api. DataFrame () # google sheets authentication creds = 'C:/path/to/your/service_file.json' api = pygsheets. Import pandas as pd import pygsheets # sample dataframe numbers = letters = df = pd. I assume you have your own data, so I'm going to make a basic sample DataFrame. To do this from the google sheet, go to the top right -> click "share" -> "invite people" -> add email. Next, add the service account email allowing it to edit the sheet. There's no need to add column headers, you can do that from the pandas DataFrame. Next format the columns however you want, number format, alignment, date format, font size anything that doesn't require changing a cell. To start, set up the basics, create a new sheet, add the tabs & name them. Lastly copy the email of the service account as you will need to add it to the google sheet allowing it to edit the workbook. Once you download the service account key save it somewhere safe, NOT anywhere public. While following those steps, the project name doesn't really matter and the service account name will appear as the name that updated the google sheet. ![]() The method I use is through using a google service account. Pygsheets docs have a great walkthrough on how to set up authentication. This will show you how to add a few lines to your pandas workflow to upload your dataframe to google sheets automatically. Luckily! Tableau Public has google sheets as a datasource and allows you to keep the dashboard synced with the sheet daily updates. Not hard, but doing it daily, can begin to be a pain and feel like a chore. First you open up Tableau, next you open the workbook you wish to update, lastly you click on data in the toolbar, hover the dataset you wish to update and click refresh. Manually updating Tableau dashboards isn't exactly hard. Date Tue 28 April 2020 Category Tutorial Tags tableau
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