I'm new to Python and need help with a project where I'm trying to add multiple pandas pivot tables to an existing Excel spreadsheet without deleting the other sheets. I'm aiming to have 7 pivot tables lined up side by side, along with some text. Currently, my code only adds the first pivot table, and when I use mode 'w', it replaces the entire file, deleting all the other sheets. I've tried merging the pivot tables into one DataFrame with space in between, but it messes up the columns and doesn't display correctly. I'm really looking for some guidance on how to tackle this, as I've been working on it for a week. Thanks!
2 Answers
Have you thought about using the openpyxl library to handle merging the pivot tables manually? It gives you more control over the Excel file structure. If the tables are structurally different, binding them might not work, and openpyxl could help with that directly. Just make sure you also verify your audience's needs; combining multiple tables can sometimes complicate things more than they help.
To keep all your sheets intact while adding new data, you should stick with mode 'a' for appending. Since you're working with side-by-side tables, make sure they fit within the same row constraints without overlapping. Use 'startrow' and 'startcol' efficiently to place them correctly. If your pivot tables have a different structure, consider breaking them into separate sheets instead of cramming them all in one. Also, think about how the final table will be used; is it really readable with all that information together? Sometimes, a different layout might be easier for your audience!
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