fix: DFS Arrow example datatypes - #160
Merged
cameronwaterman merged 3 commits intoSep 29, 2025
Merged
Conversation
cameronwaterman
requested review from
rbell517 and
spanglerco
as code owners
September 29, 2025 14:47
spanglerco
approved these changes
Sep 29, 2025
rbell517
approved these changes
Sep 29, 2025
Co-authored-by: Paul Spangler <7519484+spanglerco@users.noreply.github.com>
Co-authored-by: Paul Spangler <7519484+spanglerco@users.noreply.github.com>
cameronwaterman
deleted the
users/cwaterma/dfs-arrow-example-datatypes
branch
September 29, 2025 16:42
This file contains hidden or 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
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
3 participants
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
What does this Pull Request accomplish?
Fix data types in DFS arrow examples. Also be more explicit with supported versions in docs.
Why should this Pull Request be merged?
Fixes example and makes docs more explicit.
What testing has been done?
Ran examples in Jupyter Notebook.