Suggestions for UX Improvements: Plotting and Panel Management #10026
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To add to this, I would like to move the AI chat to the right. This is because I often need to manage the context of the AI with specific files. This is much easier if the file explorer and the chat are both visible at the same time. |
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Thank you so much for these detailed thoughts, @AltoBluedot! 🙌
@travis-leith You can drag the chat window over to the secondary side bar, like this:
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I love Positron, it is the best IDE ever. However, I believe there are UX improvements possible here and there. What are your thoughts on the following:
Plotting: Default View Setting
Plotting: Persistence for Detached Plot Window UI
Panel and Sidebar UI/UX
Toggle to Minimise: Clicking the active tab in the Panel's navigation bar (e.g., "Terminal," "Console") should minimise the Panel. This provides a fast, intuitive workflow for opening, using, and closing the panel. This behaviour could also apply to sidebars when docked horizontally.
Contextual Panel Buttons: The Panel title bar displays "Maximise" and "Restore" buttons simultaneously, but these are mutually exclusive states. Only the relevant button should be displayed at a time (i.e., show "Maximise" when in the default state, and "Restore" when maximised).
UI Customisation (Button Visibility): The title bars for the Panel and other panes contain many icons. Provide an option (e.g., in settings or a right-click context menu) to hide unused buttons. This would reduce visual clutter and prevent mis-clicks.
Icon Consistency: The icons for "Maximise" (in the Panel), "Expand" (in the Secondary Sidebar), and "Hide Toolbar" (in the detached plot window) are functionally similar but visually distinct. Unifying these icons would improve UI consistency. Please.
Navigation bar Customisation
I hope this is interesting. Please leave any ideas you have below.
I have written this from the perspective of a fairly casual user, I do Systems biology-related tasks from training simple MLPs in Python TF, to data analysis in R. I plot with plotnine and ggplot. I usually use M+KB over just shortcuts, and I work on a Mac M4 Air (lowest config.). I do not use notebooks, just raw files for each part of the workflow. This makes it easy to make them into modules for Python and R.
Positron always works very smoothly and is by far the best IDE for Data Science I have used (and I tried RStudio, Jupyter Lab in browser localhost via mamba, VSCode, and the online version of Posit). The main advantage is the plotting functionality, and the session tab generally is very useful. I wish the preview function of data frames was even better, lol, but I don't know how...
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