Python library for Apache Arrow

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for Charles.Cloud from gravatar.com Charles.Cloud Avatar for cutlerb from gravatar.com cutlerb Avatar for jorgecarleitao from gravatar.com jorgecarleitao Avatar for jorisvandenbossche from gravatar.com jorisvandenbossche Avatar for kou from gravatar.com kou Avatar for kszucs from gravatar.com kszucs Avatar for raulcd from gravatar.com raulcd Avatar for wesm from gravatar.com wesm Avatar for xhochy from gravatar.com xhochy

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache Software License (Apache License, Version 2.0)
  • Maintainer: Apache Arrow Developers
  • Requires: Python >=3.8
Classifiers

Project description

Python library for Apache Arrow

pypi conda-forge

This library provides a Python API for functionality provided by the Arrow C++ libraries, along with tools for Arrow integration and interoperability with pandas, NumPy, and other software in the Python ecosystem.

Installing

Across platforms, you can install a recent version of pyarrow with the conda package manager:

conda install pyarrow -c conda-forge

On Linux, macOS, and Windows, you can also install binary wheels from PyPI with pip:

pip install pyarrow

If you encounter any issues importing the pip wheels on Windows, you may need to install the Visual C++ Redistributable for Visual Studio 2015.

Development

See Python Development in the documentation subproject.

Building the documentation

See documentation build instructions in the documentation subproject.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for Charles.Cloud from gravatar.com Charles.Cloud Avatar for cutlerb from gravatar.com cutlerb Avatar for jorgecarleitao from gravatar.com jorgecarleitao Avatar for jorisvandenbossche from gravatar.com jorisvandenbossche Avatar for kou from gravatar.com kou Avatar for kszucs from gravatar.com kszucs Avatar for raulcd from gravatar.com raulcd Avatar for wesm from gravatar.com wesm Avatar for xhochy from gravatar.com xhochy

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache Software License (Apache License, Version 2.0)
  • Maintainer: Apache Arrow Developers
  • Requires: Python >=3.8
Classifiers

Release history Release notifications | RSS feed

18.0.0

17.0.0

16.1.0

This version

16.0.0

15.0.2

15.0.1

15.0.0

14.0.2

14.0.1

14.0.0

13.0.0

12.0.1

12.0.0

11.0.0

10.0.1

10.0.0

9.0.0

8.0.0

7.0.0

6.0.1

6.0.0

5.0.0

4.0.1

4.0.0

3.0.0

2.0.0

1.0.1

1.0.0

0.17.1

0.17.0

0.16.0

0.15.1

0.15.0

0.14.1

0.14.0

0.13.0

0.12.1

0.12.0

0.11.1

0.11.0

0.10.0

0.9.0.post1

0.9.0

0.8.0

0.7.1

0.7.0

0.6.0

0.5.0.post2

0.5.0

0.4.1

0.4.0

0.3.0

0.2.0

0.1.0

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyarrow-16.0.0.tar.gz (1.1 MB view details)

Uploaded Source

Built Distributions

pyarrow-16.0.0-cp312-cp312-win_amd64.whl (25.8 MB view details)

Uploaded CPython 3.12 Windows x86-64

pyarrow-16.0.0-cp312-cp312-manylinux_2_28_x86_64.whl (40.8 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.28+ x86-64

pyarrow-16.0.0-cp312-cp312-manylinux_2_28_aarch64.whl (38.0 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.28+ ARM64

pyarrow-16.0.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (40.9 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

pyarrow-16.0.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (38.6 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARM64

pyarrow-16.0.0-cp312-cp312-macosx_11_0_arm64.whl (26.0 MB view details)

Uploaded CPython 3.12 macOS 11.0+ ARM64

pyarrow-16.0.0-cp312-cp312-macosx_10_15_x86_64.whl (29.1 MB view details)

Uploaded CPython 3.12 macOS 10.15+ x86-64

pyarrow-16.0.0-cp311-cp311-win_amd64.whl (25.9 MB view details)

Uploaded CPython 3.11 Windows x86-64

pyarrow-16.0.0-cp311-cp311-manylinux_2_28_x86_64.whl (40.8 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.28+ x86-64

pyarrow-16.0.0-cp311-cp311-manylinux_2_28_aarch64.whl (38.0 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.28+ ARM64

pyarrow-16.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (40.8 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

pyarrow-16.0.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (38.6 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

pyarrow-16.0.0-cp311-cp311-macosx_11_0_arm64.whl (26.0 MB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

pyarrow-16.0.0-cp311-cp311-macosx_10_15_x86_64.whl (29.2 MB view details)

Uploaded CPython 3.11 macOS 10.15+ x86-64

pyarrow-16.0.0-cp310-cp310-win_amd64.whl (25.9 MB view details)

Uploaded CPython 3.10 Windows x86-64

pyarrow-16.0.0-cp310-cp310-manylinux_2_28_x86_64.whl (40.8 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.28+ x86-64

pyarrow-16.0.0-cp310-cp310-manylinux_2_28_aarch64.whl (38.0 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.28+ ARM64

pyarrow-16.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (40.8 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

pyarrow-16.0.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (38.6 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

pyarrow-16.0.0-cp310-cp310-macosx_11_0_arm64.whl (26.0 MB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

pyarrow-16.0.0-cp310-cp310-macosx_10_15_x86_64.whl (29.1 MB view details)

Uploaded CPython 3.10 macOS 10.15+ x86-64

pyarrow-16.0.0-cp39-cp39-win_amd64.whl (25.9 MB view details)

Uploaded CPython 3.9 Windows x86-64

pyarrow-16.0.0-cp39-cp39-manylinux_2_28_x86_64.whl (40.8 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.28+ x86-64

pyarrow-16.0.0-cp39-cp39-manylinux_2_28_aarch64.whl (38.0 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.28+ ARM64

pyarrow-16.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (40.9 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

pyarrow-16.0.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (38.6 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

pyarrow-16.0.0-cp39-cp39-macosx_11_0_arm64.whl (26.0 MB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

pyarrow-16.0.0-cp39-cp39-macosx_10_15_x86_64.whl (29.1 MB view details)

Uploaded CPython 3.9 macOS 10.15+ x86-64

pyarrow-16.0.0-cp38-cp38-win_amd64.whl (25.9 MB view details)

Uploaded CPython 3.8 Windows x86-64

pyarrow-16.0.0-cp38-cp38-manylinux_2_28_x86_64.whl (40.8 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.28+ x86-64

pyarrow-16.0.0-cp38-cp38-manylinux_2_28_aarch64.whl (38.1 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.28+ ARM64

pyarrow-16.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (40.9 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

pyarrow-16.0.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (38.7 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

pyarrow-16.0.0-cp38-cp38-macosx_11_0_arm64.whl (26.0 MB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

pyarrow-16.0.0-cp38-cp38-macosx_10_15_x86_64.whl (29.1 MB view details)

Uploaded CPython 3.8 macOS 10.15+ x86-64

File details

Details for the file pyarrow-16.0.0.tar.gz.

File metadata

  • Download URL: pyarrow-16.0.0.tar.gz
  • Upload date:
  • Size: 1.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.12

File hashes

Hashes for pyarrow-16.0.0.tar.gz
Algorithm Hash digest
SHA256 59bb1f1edbbf4114c72415f039f1359f1a57d166a331c3229788ccbfbb31689a
MD5 df46e25f5cd787b7b33ae24fa14d5b92
BLAKE2b-256 b8c361781b3a0d754807f5662fc0cb459f2bb5e76db1b18a1cfbb3efd770fdcc

See more details on using hashes here.

Provenance

File details

Details for the file pyarrow-16.0.0-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: pyarrow-16.0.0-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 25.8 MB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.12

File hashes

Hashes for pyarrow-16.0.0-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 ef2f309b68396bcc5a354106741d333494d6a0d3e1951271849787109f0229a6
MD5 10d9562d6f59ed938d9c5c25212ce5f3
BLAKE2b-256 2ce30879dfa4e1de2bcf06a22c9450af7755b4c9237588203b52df5927930b28

See more details on using hashes here.

Provenance

File details

Details for the file pyarrow-16.0.0-cp312-cp312-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pyarrow-16.0.0-cp312-cp312-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 2a7abdee4a4a7cfa239e2e8d721224c4b34ffe69a0ca7981354fe03c1328789b
MD5 54c6099f119faab4cb76b7d70514eec1
BLAKE2b-256 b61c2c196290d83a680d381e25c4072bf49120f8b7fc5c7c633638575811a0b5

See more details on using hashes here.

Provenance

File details

Details for the file pyarrow-16.0.0-cp312-cp312-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for pyarrow-16.0.0-cp312-cp312-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 42e56557bc7c5c10d3e42c3b32f6cff649a29d637e8f4e8b311d334cc4326730
MD5 ca2cf97522d23cddb3f0268037f98ff0
BLAKE2b-256 59a502fcff287ca45e8e95d414475f2dbad5bb9f762fa6f3c5e02def855ccfcc

See more details on using hashes here.

Provenance

File details

Details for the file pyarrow-16.0.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyarrow-16.0.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1ab8b9050752b16a8b53fcd9853bf07d8daf19093533e990085168f40c64d978
MD5 50c7cd60dc79eec7bda98c4be3808bc9
BLAKE2b-256 1db2508775722a370c92c52d11f0fdbf4167397841982ad03aa43ea9a1713cef

See more details on using hashes here.

Provenance

File details

Details for the file pyarrow-16.0.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyarrow-16.0.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 5823275c8addbbb50cd4e6a6839952682a33255b447277e37a6f518d6972f4e1
MD5 c38f17c087a20abc3dfa5328485c56c5
BLAKE2b-256 ee4d102736461f88f6cc9b693023f5a52322d6e9be728ca033c39892680bc00f

See more details on using hashes here.

Provenance

File details

Details for the file pyarrow-16.0.0-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyarrow-16.0.0-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 20ce707d9aa390593ea93218b19d0eadab56390311cb87aad32c9a869b0e958c
MD5 9afecf0921c864cd497caad65a64eeae
BLAKE2b-256 ff5ad538f1ef43432bbd15b1fe70a2efe4a5681a9502263b88554d2dc5b648a3

See more details on using hashes here.

Provenance

File details

Details for the file pyarrow-16.0.0-cp312-cp312-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for pyarrow-16.0.0-cp312-cp312-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 fb8065dbc0d051bf2ae2453af0484d99a43135cadabacf0af588a3be81fbbb9b
MD5 d6b3e5afe4ebc0950300701c3c90d5b2
BLAKE2b-256 0f647a94bec6658873c7d82f743a92653bcc961eda95480827bd46d2d33003be

See more details on using hashes here.

Provenance

File details

Details for the file pyarrow-16.0.0-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: pyarrow-16.0.0-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 25.9 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.12

File hashes

Hashes for pyarrow-16.0.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 729f7b262aa620c9df8b9967db96c1575e4cfc8c25d078a06968e527b8d6ec05
MD5 56995b7188a347efa973d2d084ffdd3c
BLAKE2b-256 51e683d51c9822ea0232548f73e39bc25e9a4b658422100d5b23d7abc9e871b0

See more details on using hashes here.

Provenance

File details

Details for the file pyarrow-16.0.0-cp311-cp311-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pyarrow-16.0.0-cp311-cp311-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 5448564754c154997bc09e95a44b81b9e31ae918a86c0fcb35c4aa4922756f55
MD5 8e4f49082b30e9e664540b7e4918c3d0
BLAKE2b-256 d573d5588e2bd671aabe02e1e11b12966fa1a066767b20340885964f5d4e1862

See more details on using hashes here.

Provenance

File details

Details for the file pyarrow-16.0.0-cp311-cp311-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for pyarrow-16.0.0-cp311-cp311-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 705db70d3e2293c2f6f8e84874b5b775f690465798f66e94bb2c07bab0a6bb55
MD5 6eee77f72efd099bc62b480a5f5249a0
BLAKE2b-256 a1e41e1825f0c1dc0aecfe86e4aac320b0f9d32103417899eb89896ba0eb177f

See more details on using hashes here.

Provenance

File details

Details for the file pyarrow-16.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyarrow-16.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 56850a0afe9ef37249d5387355449c0f94d12ff7994af88f16803a26d38f2016
MD5 c6d6a39f1b0a7e14065ec886b9e5c7ad
BLAKE2b-256 a342722431397a4c705fcd7d145e1ba445defa8d2327269310f13c9980314057

See more details on using hashes here.

Provenance

File details

Details for the file pyarrow-16.0.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyarrow-16.0.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 5cc23090224b6594f5a92d26ad47465af47c1d9c079dd4a0061ae39551889efe
MD5 ec0329d8d12bd542229f760dfa834c39
BLAKE2b-256 e5d28ec169aa9b7b6c71309b1fa03f6f5f2c7337b4d4cb47d2c09a0117dc9f7e

See more details on using hashes here.

Provenance

File details

Details for the file pyarrow-16.0.0-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyarrow-16.0.0-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 266ddb7e823f03733c15adc8b5078db2df6980f9aa93d6bb57ece615df4e0ba7
MD5 3d8947521ed714270fddcda8053bce5f
BLAKE2b-256 75975c1e0169ea1ee22f675801956682ef44731c0ccf1c0361a37e9701f46107

See more details on using hashes here.

Provenance

File details

Details for the file pyarrow-16.0.0-cp311-cp311-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for pyarrow-16.0.0-cp311-cp311-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 d22d0941e6c7bafddf5f4c0662e46f2075850f1c044bf1a03150dd9e189427ce
MD5 81d4791a706cb9ef95e9dbde8d58814f
BLAKE2b-256 4e22bb83bd005cb8245bd9f247c5a805860c04e1f51f05a4ad790c14fdd048ab

See more details on using hashes here.

Provenance

File details

Details for the file pyarrow-16.0.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: pyarrow-16.0.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 25.9 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.12

File hashes

Hashes for pyarrow-16.0.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 99af421ee451a78884d7faea23816c429e263bd3618b22d38e7992c9ce2a7ad9
MD5 55c32e0edc53e0c2627f2d9d63a88cae
BLAKE2b-256 957a36243efd5a9c1a0ac1146fa69044f4676eac13a162c8fb388869262330fe

See more details on using hashes here.

Provenance

File details

Details for the file pyarrow-16.0.0-cp310-cp310-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pyarrow-16.0.0-cp310-cp310-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 91d28f9a40f1264eab2af7905a4d95320ac2f287891e9c8b0035f264fe3c3a4b
MD5 166dd15cd497c81d11f5f08712bff12b
BLAKE2b-256 83b777b5a755560329ebe12b16a7a15074fb003685e1cbcfef8dcab0a05fdd58

See more details on using hashes here.

Provenance

File details

Details for the file pyarrow-16.0.0-cp310-cp310-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for pyarrow-16.0.0-cp310-cp310-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 edf38cce0bf0dcf726e074159c60516447e4474904c0033f018c1f33d7dac6c5
MD5 5058687118174920de486ca4cec31065
BLAKE2b-256 b0993e3d6c5d761f8331ffe5e656a6a57531b5f6ed80297ae15056dd8e598f88

See more details on using hashes here.

Provenance

File details

Details for the file pyarrow-16.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyarrow-16.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 df0080339387b5d30de31e0a149c0c11a827a10c82f0c67d9afae3981d1aabb7
MD5 36e6a89e792457bee4d475d82b34c1e4
BLAKE2b-256 0d759bf5522ac1dae815bc0c31ae0ebdb191e15f7a7cb3f1b0d3ed38191bb614

See more details on using hashes here.

Provenance

File details

Details for the file pyarrow-16.0.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyarrow-16.0.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 c0815d0ddb733b8c1b53a05827a91f1b8bde6240f3b20bf9ba5d650eb9b89cdf
MD5 9c4b4006e58c940d0971ae68ecb88533
BLAKE2b-256 e084a891dd617c5b7c8746765c383c8bced035f7aed38062b89e50b5ba4e79d7

See more details on using hashes here.

Provenance

File details

Details for the file pyarrow-16.0.0-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyarrow-16.0.0-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 574a00260a4ed9d118a14770edbd440b848fcae5a3024128be9d0274dbcaf858
MD5 eed69357057d44d917667703faf40952
BLAKE2b-256 5b04c2a6f3ae840d96a00de2e07d68a3d30591b413b15b4385242e47e2ae0e97

See more details on using hashes here.

Provenance

File details

Details for the file pyarrow-16.0.0-cp310-cp310-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for pyarrow-16.0.0-cp310-cp310-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 22a1fdb1254e5095d629e29cd1ea98ed04b4bbfd8e42cc670a6b639ccc208b60
MD5 f48875116f03bb5e3ebb49bab2733d8f
BLAKE2b-256 fd5ca4349f50b36382d3f40b304b91a3587ac433baceed9bec2434d663393a51

See more details on using hashes here.

Provenance

File details

Details for the file pyarrow-16.0.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: pyarrow-16.0.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 25.9 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.12

File hashes

Hashes for pyarrow-16.0.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 fda9a7cebd1b1d46c97b511f60f73a5b766a6de4c5236f144f41a5d5afec1f35
MD5 380b9f8b75d3f22b47bdf36f0b02949b
BLAKE2b-256 3691fe7c473e62611a30e375593a3679854142e34a9655c83edb9410cb91e3b2

See more details on using hashes here.

Provenance

File details

Details for the file pyarrow-16.0.0-cp39-cp39-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pyarrow-16.0.0-cp39-cp39-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 00a1dcb22ad4ceb8af87f7bd30cc3354788776c417f493089e0a0af981bc8d80
MD5 41092360f47fa5f51bdb1cb0ac9ae343
BLAKE2b-256 7666979487ea9146b98ba5cfcaddb862736aadc3b13407cdd95ead9c04ce4b75

See more details on using hashes here.

Provenance

File details

Details for the file pyarrow-16.0.0-cp39-cp39-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for pyarrow-16.0.0-cp39-cp39-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 bd40467bdb3cbaf2044ed7a6f7f251c8f941c8b31275aaaf88e746c4f3ca4a7a
MD5 364878a19c88a94154331c534ebd1388
BLAKE2b-256 f0bc8e383ed11056440b2609811ddabfb3d57a9e4db269914218e4cd5add5000

See more details on using hashes here.

Provenance

File details

Details for the file pyarrow-16.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyarrow-16.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9dd3151d098e56f16a8389c1247137f9e4c22720b01c6f3aa6dec29a99b74d80
MD5 b518a14b524f121f4f476e0c676ade15
BLAKE2b-256 6c197341bca1e89cb36588d24e59e0823c41da599d919fbfd9343f875ffab495

See more details on using hashes here.

Provenance

File details

Details for the file pyarrow-16.0.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyarrow-16.0.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 35692ce8ad0b8c666aa60f83950957096d92f2a9d8d7deda93fb835e6053307e
MD5 f6c7a06abb86488d47a84eb804ec8a82
BLAKE2b-256 7de85cf06715855c7e25ce7983ab11e3ee38f10c5e6dac9ac7b0236c44d57378

See more details on using hashes here.

Provenance

File details

Details for the file pyarrow-16.0.0-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyarrow-16.0.0-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 d831690844706e374c455fba2fb8cfcb7b797bfe53ceda4b54334316e1ac4fa4
MD5 34df9f531b97dc381f0e31099a9eca2f
BLAKE2b-256 1d2ef754a9c31c754b709cb1665b71dfa12d8e17e3c0cd3b98958e7853f8be22

See more details on using hashes here.

Provenance

File details

Details for the file pyarrow-16.0.0-cp39-cp39-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for pyarrow-16.0.0-cp39-cp39-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 b93c9a50b965ee0bf4fef65e53b758a7e8dcc0c2d86cebcc037aaaf1b306ecc0
MD5 a76da62c322f349fc799441b52b1988f
BLAKE2b-256 716b4853a09ce7a3a98d3832f43f3229fa3ffacaace55862125a9d6ea33a4bd2

See more details on using hashes here.

Provenance

File details

Details for the file pyarrow-16.0.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: pyarrow-16.0.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 25.9 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.12

File hashes

Hashes for pyarrow-16.0.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 71d52561cd7aefd22cf52538f262850b0cc9e4ec50af2aaa601da3a16ef48877
MD5 004c4b3bcf1cdfb54fd5253b9919d561
BLAKE2b-256 ea4a4de2ec3b2f2aceba133b8a44be5d077c3876dd1b6c98bb4eab2a17d8f85e

See more details on using hashes here.

Provenance

File details

Details for the file pyarrow-16.0.0-cp38-cp38-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pyarrow-16.0.0-cp38-cp38-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 d91073d1e2fef2c121154680e2ba7e35ecf8d4969cc0af1fa6f14a8675858159
MD5 199d14f09463cd62009005636277b629
BLAKE2b-256 c209a0aee746c5973d6c9904a2dd84c62a891fbbc2e12304cf7d81ea6c986cbf

See more details on using hashes here.

Provenance

File details

Details for the file pyarrow-16.0.0-cp38-cp38-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for pyarrow-16.0.0-cp38-cp38-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 dd9334a07b6dc21afe0857aa31842365a62eca664e415a3f9536e3a8bb832c07
MD5 bc6066ced0eb15cdd52fe6013ea8b722
BLAKE2b-256 c280b6e19ac96edb767f0c8451016f9d80ac8ffe3f675c85cda5080356fbe85b

See more details on using hashes here.

Provenance

File details

Details for the file pyarrow-16.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyarrow-16.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f293e92d1db251447cb028ae12f7bc47526e4649c3a9924c8376cab4ad6b98bd
MD5 d3522a062be11858bd9a19b04549b2f8
BLAKE2b-256 2f4263773f0bcb364c770d29045dc504d1b3d4e7d7b068af7641c2299beb06d3

See more details on using hashes here.

Provenance

File details

Details for the file pyarrow-16.0.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyarrow-16.0.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 3c2f5e239db7ed43e0ad2baf46a6465f89c824cc703f38ef0fde927d8e0955f7
MD5 02cd533a0eb675d1bee00befa77a3643
BLAKE2b-256 319c299de1ef48a3aed69e98f36035ef55bf9f5327ded534bd6c6c2f01d881a5

See more details on using hashes here.

Provenance

File details

Details for the file pyarrow-16.0.0-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyarrow-16.0.0-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 cc8814310486f2a73c661ba8354540f17eef51e1b6dd090b93e3419d3a097b3a
MD5 3170dbbed5844fa22a077b43d8a79f5f
BLAKE2b-256 c8573fd2c4a65df2bc74c59654f1c6ff067f872d80d46d7cc800314de707c469

See more details on using hashes here.

Provenance

File details

Details for the file pyarrow-16.0.0-cp38-cp38-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for pyarrow-16.0.0-cp38-cp38-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 ed66e5217b4526fa3585b5e39b0b82f501b88a10d36bd0d2a4d8aa7b5a48e2df
MD5 018e4e8b6128a7833cb79cbe0a60de58
BLAKE2b-256 624b2776dad44272e9a29694eb02f448b3411f3333b063991a5697da9dd8a845

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page