Hey @Shawn_Pereira!
To 1. Do you mean inserting it from Python-side or via a UI interaction? If from Python side, I think you should be able to just modify the (Pandas) dataframe (insert there) and pass the modified dataframe to the data_editor command. Maybe @lukasmasuch has a better idea.
To 2. Right now we don’t support customizing the toolbar. We have thought about it, but don’t have any concrete plans yet. The best action right now would be too open an issue on GitHub and upvote it
To 3. Similar to answer 2! I once built a prototype that allowed doing this, but we have not seriously started to look into this feature.
To 1: I meant this via UI interaction, through the data editor only. It would be so much more elegant and painless.
To 2: Will put an entry on Github.
To 3: It you built a working prototype, then Streamlit should ideally consider adding this. It would provide the flexibility to do so much more with Streamlit.
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