Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

FIX-#6227: Make sure Series.unique() with pyarrow dtype returns ArrowExtensionArray #35

Closed

Conversation

local-dev-korbit-ai-mentor[bot]
Copy link

@local-dev-korbit-ai-mentor local-dev-korbit-ai-mentor bot commented Aug 15, 2024

What do these changes do?

  • first commit message and PR title follow format outlined here

    NOTE: If you edit the PR title to match this format, you need to add another commit (even if it's empty) or amend your last commit for the CI job that checks the PR title to pick up the new PR title.

  • passes flake8 modin/ asv_bench/benchmarks scripts/doc_checker.py
  • passes black --check modin/ asv_bench/benchmarks scripts/doc_checker.py
  • signed commit with git commit -s
  • Resolves #6227
  • tests added and passing
  • module layout described at docs/development/architecture.rst is up-to-date

Description by Korbit AI

Note

This feature is in early access. You can enable or disable it in the Korbit Console.

What change is being made?

Ensure Series.unique() with pyarrow dtype returns ArrowExtensionArray by modifying the return statement and adding a corresponding test case.

Why are these changes being made?

This change addresses issue #6227, where Series.unique() was not returning the expected ArrowExtensionArray type when using pyarrow dtype. The modification ensures compatibility and correctness, and the added test case verifies the fix.

Summary by CodeRabbit

  • New Features

    • Improved the unique method in Series for better performance, directly returning unique values as a NumPy array.
  • Tests

    • Added a new test to validate the unique method's behavior with uint8[pyarrow] data type, ensuring consistency with Pandas outputs.

anmyachev and others added 2 commits March 7, 2024 21:04
…rowExtensionArray'

Signed-off-by: Anatoly Myachev <anatoly.myachev@intel.com>
Copy link
Author

Clone of the PR modin-project/modin#7042

Copy link

korbit-ai bot commented Aug 15, 2024

My review is in progress 📖 - I will have feedback for you in a few minutes!

Copy link

coderabbitai bot commented Aug 15, 2024

Caution

Review failed

The pull request is closed.

Walkthrough

The changes enhance the unique method in the Series class of Modin’s pandas implementation. The new approach improves performance by directly returning unique values as a NumPy array, avoiding unnecessary object creation. Additionally, a new test case has been added to ensure the correctness of the modified method, specifically for the uint8[pyarrow] data type, thereby increasing test coverage and robustness.

Changes

Files Change Summary
modin/pandas/series.py Updated the unique method to return unique values as a NumPy array for better performance and clarity.
modin/pandas/test/test_series.py Added test_unique_pyarrow_dtype to validate the unique method's behavior with uint8[pyarrow].

Poem

In the meadow where data flows,
A rabbit hops, and knowledge grows.
Unique values now leap with grace,
No more clutter in this space!
With tests to guard our joyful dance,
In Modin's world, we take a chance! 🐇✨


Thank you for using CodeRabbit. We offer it for free to the OSS community and would appreciate your support in helping us grow. If you find it useful, would you consider giving us a shout-out on your favorite social media?

Share
Tips

Chat

There are 3 ways to chat with CodeRabbit:

  • Review comments: Directly reply to a review comment made by CodeRabbit. Example:
    • I pushed a fix in commit <commit_id>.
    • Generate unit testing code for this file.
    • Open a follow-up GitHub issue for this discussion.
  • Files and specific lines of code (under the "Files changed" tab): Tag @coderabbitai in a new review comment at the desired location with your query. Examples:
    • @coderabbitai generate unit testing code for this file.
    • @coderabbitai modularize this function.
  • PR comments: Tag @coderabbitai in a new PR comment to ask questions about the PR branch. For the best results, please provide a very specific query, as very limited context is provided in this mode. Examples:
    • @coderabbitai generate interesting stats about this repository and render them as a table.
    • @coderabbitai show all the console.log statements in this repository.
    • @coderabbitai read src/utils.ts and generate unit testing code.
    • @coderabbitai read the files in the src/scheduler package and generate a class diagram using mermaid and a README in the markdown format.
    • @coderabbitai help me debug CodeRabbit configuration file.

Note: Be mindful of the bot's finite context window. It's strongly recommended to break down tasks such as reading entire modules into smaller chunks. For a focused discussion, use review comments to chat about specific files and their changes, instead of using the PR comments.

CodeRabbit Commands (invoked as PR comments)

  • @coderabbitai pause to pause the reviews on a PR.
  • @coderabbitai resume to resume the paused reviews.
  • @coderabbitai review to trigger an incremental review. This is useful when automatic reviews are disabled for the repository.
  • @coderabbitai full review to do a full review from scratch and review all the files again.
  • @coderabbitai summary to regenerate the summary of the PR.
  • @coderabbitai resolve resolve all the CodeRabbit review comments.
  • @coderabbitai configuration to show the current CodeRabbit configuration for the repository.
  • @coderabbitai help to get help.

Additionally, you can add @coderabbitai ignore anywhere in the PR description to prevent this PR from being reviewed.

CodeRabbit Configuration File (.coderabbit.yaml)

  • You can programmatically configure CodeRabbit by adding a .coderabbit.yaml file to the root of your repository.
  • Please see the configuration documentation for more information.
  • If your editor has YAML language server enabled, you can add the path at the top of this file to enable auto-completion and validation: # yaml-language-server: $schema=https://coderabbit.ai/integrations/schema.v2.json

Documentation and Community

  • Visit our Documentation for detailed information on how to use CodeRabbit.
  • Join our Discord Community to get help, request features, and share feedback.
  • Follow us on X/Twitter for updates and announcements.

Copy link

@korbit-ai korbit-ai bot left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

I have reviewed your code and did not find any issues!


Please note that I can make mistakes, and you should still encourage your team to review your code as well.

@furwellness
Copy link
Owner

/review

Copy link

PR Reviewer Guide 🔍

⏱️ Estimated effort to review: 2 🔵🔵⚪⚪⚪
🧪 PR contains tests
🔒 No security concerns identified
⚡ Key issues to review

Implementation Change
The implementation of the unique method has been changed. It now uses to_pandas().squeeze(axis=1).values instead of to_numpy(). This change might affect the return type and behavior.

@furwellness
Copy link
Owner

@coderabbitai review

Copy link

coderabbitai bot commented Aug 18, 2024

Actions performed

Review triggered.

Note: CodeRabbit is an incremental review system and does not re-review already reviewed commits. This command is applicable only when automatic reviews are paused.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

Successfully merging this pull request may close these issues.

2 participants