Closed sgoggins closed 1 year ago
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See visual diffs & provide feedback on Jupyter Notebooks.
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oindrillac commented on 2023-06-14T04:36:58Z ----------------------------------------------------------------
Any idea why we are getting no cntrb_ids here?
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oindrillac commented on 2023-06-14T04:36:59Z ----------------------------------------------------------------
Cool plot! Can you provide some context in markdown on what exactly are we trying to achieve here?
Any particular reason we are removing the coloring legends here?
sgoggins commented on 2023-07-07T19:11:18Z ----------------------------------------------------------------
I removed this plot. I think its less useful than I hoped.
In its place I created a dependency notebook that focuses on dependencies as a separate matter.
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oindrillac commented on 2023-06-14T04:37:00Z ----------------------------------------------------------------
Line #3. #blue_patch = mpatches.Patch(color='blue', label='Repository')
Can we keep the coloring legends here?
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oindrillac commented on 2023-06-14T04:37:01Z ----------------------------------------------------------------
This dataframe does not seem to be populating as the cntrb_ids in the issue dataframe seems to be all None
sgoggins commented on 2023-07-07T19:10:37Z ----------------------------------------------------------------
@oindrillac: I fixed this in the latest push.
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oindrillac commented on 2023-06-14T04:36:58Z ----------------------------------------------------------------
Any idea why we are getting no cntrb_ids here?
I fixed the issues query. In the issues table the cntrb_id column is intended to indicate who closed the issue, however this data is not readily available for all repos in the GitHub API.
The reporter_id contains a cntrb_id for the person who opened the issue, and that is now included in the query and it produces results.
I removed this plot. I think its less useful than I hoped.
In its place I created a dependency notebook that focuses on dependencies as a separate matter.
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There were files missing from requirements.txt, including networkx and jupyter-lab.
There were also a few logic errors in the database connection in one notebook. Probably just from an older version.