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apache/arrow/32437a5aebd6fba0abbc63dfcf8e24106c617efd
commit
32437a5aebd6fba0abbc63dfcf8e24106c617efd
[log]
author
Dane Pitkin <48041712+danepitkin@users.noreply.github.com>
Tue Mar 26 11:53:07 2024 -0400
committer
GitHub <noreply@github.com>
Tue Mar 26 16:53:07 2024 +0100
tree
2a840a100d409f98b500b41d82d81db78d4c529f
parent
dbff1f4a3e11d808eddf24b816046ab854d5d836 [diff]
GH-40205: [Python] ListView arrow-to-pandas conversion (#40482)

### Rationale for this change

ListView should support converting to pandas/numpy in pyarrow.

### What changes are included in this PR?

* `.to_pandas()` successfully creates a pandas series
* `.to_numpy()` successfully creates a numpy array

### Are these changes tested?

* Yes, unit tests

### Are there any user-facing changes?

No, just adding support for existing APIs `to_pandas()` `to_numpy()`.
* GitHub Issue: #40205

Authored-by: Dane Pitkin <dane@voltrondata.com>
Signed-off-by: Joris Van den Bossche <jorisvandenbossche@gmail.com>
2 files changed
tree: 2a840a100d409f98b500b41d82d81db78d4c529f
  1. .github/
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  5. cpp/
  6. csharp/
  7. dev/
  8. docs/
  9. format/
  10. go/
  11. java/
  12. js/
  13. matlab/
  14. python/
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  17. swift/
  18. testing
  19. .asf.yaml
  20. .clang-format
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  31. .readthedocs.yml
  32. appveyor.yml
  33. CHANGELOG.md
  34. cmake-format.py
  35. CODE_OF_CONDUCT.md
  36. CONTRIBUTING.md
  37. docker-compose.yml
  38. header
  39. LICENSE.txt
  40. NOTICE.txt
  41. README.md
README.md

Apache Arrow

Fuzzing Status License Twitter Follow

Powering In-Memory Analytics

Apache Arrow is a development platform for in-memory analytics. It contains a set of technologies that enable big data systems to process and move data fast.

Major components of the project include:

Arrow is an Apache Software Foundation project. Learn more at arrow.apache.org.

What's in the Arrow libraries?

The reference Arrow libraries contain many distinct software components:

  • Columnar vector and table-like containers (similar to data frames) supporting flat or nested types
  • Fast, language agnostic metadata messaging layer (using Google's Flatbuffers library)
  • Reference-counted off-heap buffer memory management, for zero-copy memory sharing and handling memory-mapped files
  • IO interfaces to local and remote filesystems
  • Self-describing binary wire formats (streaming and batch/file-like) for remote procedure calls (RPC) and interprocess communication (IPC)
  • Integration tests for verifying binary compatibility between the implementations (e.g. sending data from Java to C++)
  • Conversions to and from other in-memory data structures
  • Readers and writers for various widely-used file formats (such as Parquet, CSV)

Implementation status

The official Arrow libraries in this repository are in different stages of implementing the Arrow format and related features. See our current feature matrix on git main.

How to Contribute

Please read our latest project contribution guide.

Getting involved

Even if you do not plan to contribute to Apache Arrow itself or Arrow integrations in other projects, we'd be happy to have you involved: