![]() And if you go back to VSCode you'll see that the debugging process has moved on to your breakpoint. Now you should notice that nothing happens in the figure itself. For example by choosing aggsunset from the dropdown menu: Figure 5.1 - Make a selection to trigger callback debugging In order to make the process move on to that particular breakpoint, you can hit F5 or even trigger the callback through the Dash App that this code sample produces. If you've got some data manipulation going on within a callback you can set a breakpoint inside the callback: Figure 4.1 - Set breakpoint. You can also inspect the contents of df by clicking the icon highlighted above to Show variable in data viewer: Figure 3.2 - Data viewer Figure 1.1 - Stepping into code with F10Īfter stepping through df = px.data.tips(), you can find the variable under JUPYTER:VARIABLES in the Debug Console: Figure 3.1 - Debug console and variables You can then step through your code line by line by hitting F10 again. ipynb file, F10 in VSCode will trigger Step into function and place a yellow arrow at the first line of a cell. Part 1 & 2 - Stepping into code and running code line by lineīy default for a an. I'll base this suggestion on the code presented here to produce a basic dash app with an interactive figure and a dropdown that triggers a callback: And perhaps this isn't the best approach at all? Suggestions that do not include JupyterDash are therefore more than welcome.` Still I don't feel I've found a work-flow that is 100% satisfactory when it comes to interactivity and stability. Inspecting variables through JUPYTER:VARIABLES in the VSCode Debug Console.Run and Debug (ctrl+Shift+D) from the Jupyter Notebook menu.Run > Start Debugging (F5) from the VSCode menu.I believe I've tried every imaginable combination of: ipynb file that involves all of the following steps: ![]() I would like to know how you can combine the powers of JupyterDash and VSCode in order to run a debugging process for an. This is going to be a self-answered post, but that only means that I've got an idea of a solution, and that I'm very eager to hear about more efficient and stable approaches to the challenge in question.
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |