Python
OpenPyXL: Create Multi-Sheets Excel Files With This Handy Python Library
This Python library helps you to export dataframes to different sheets within one Excel file
Even though Python is mighty, Excel will play a large chunk of work for most data analysts and scientists. Yes, Python can do most of what Excel can do, but most non-technical teams prefer to get their reports in Excel because it’s easier to interact and make changes when working in a multi-department company. However, sometimes Python and Excel files don’t talk to each other in the most effective ways.
Imagine the following scenario: you are working on a project with Python, and you need to export multiple related datasets. All the datasets need to be in the same Excel file but in different tabs; what would you do? I can say what I used to do. I would export each data into different CSV files, one for each dataframe. Then, I would open each file, copy the data, and paste it into an Excel file. I would repeat this process for each file. Finally, I would save the file, and the job would be done.
This doesn’t sound like the most practical way of doing things, and that’s because it’s not.
