Get dynamic status type when generating plot "OBO Principle by status" in analysis page #118
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
The code expected to have the four status types in the dashboard results. This is not always the case, so the code was updated to check for the available status types before reshaping the data.
The script processes the dashboard results and prepares it for analysis. It generates plots and tables for the analysis page. The script replaces the dashboard_analysis.ipynb Jupyter notebook with some improvements.
The analysis.html page is now generated by a python script instead of the jupyter notebook.
pfabry
added a commit
to OBOFoundry/obo-nor.github.io
that referenced
this pull request
Jun 11, 2024
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Fixes #85
The analysis.html page is now generated by a Python script instead of the jupyter notebook.
I tested with OMO, which has only PASS status(even though in the dashboard there's one WARN, but for this purpose, it's fine):
Everything else is working the same, I just improved with refactoring some parts of the code in the jupyter notebook.
The plots are the same:
The tables are looking a bit different:
The node connections graph is there