You can install the openpyxl package using pip. Finally, you need to write it back to the spreadsheet. In order to perform this, you have to read the spreadsheet first and then iterate through each row and fetch the total amount spent from the Database. You have an Excel spreadsheet with a list of users, and your job is to append to each row the total amount they have spent in your store. Appending Information to an Existing SpreadsheetĬonsider the same online store example we discussed above. You can use it effectively to iterate over each User record and transform the required information into an Excel spreadsheet. In this situation, openpyxl comes to play. However, neither do they have access to the Database nor do they have any idea about using SQL to extract the information. Now, the Marketing Team is willing to collectively contact all the users and promote a new product of the company. In this particular table, you have collected information about all your users which includes their names, contact number, email address, and so forth. Exporting Database Data Into a SpreadsheetĬonsider you have a Database table. Now, if you want to import this particular data, you need to iterate over each row of the spreadsheet and then add each of the products to the database of the online store. When they want to add new products to the online store, they make an Excel spreadsheet with a few hundred rows along with the product's name, description, price, and a few more basic information, then give it to you. Importing New Products Into a DatabaseĬonsider yourself working in an online store company. Let us discuss a few of them to get a comprehensive overview of them. There can be a lot of possible situations where you might feel the need to use a package like openpyxl. With the help of this module, you can extract data from a database into an Excel spreadsheet, or you can also convert an Excel spreadsheet into a programmatic format. In this article, we will be using openpyxl to work on data. This checklist will help you in verifying the qualitative nature of the spreadsheet application you’re going to work on.
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