Skip to main content

Python library for Apache Arrow

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


Download files

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

Source Distribution

pyarrow-15.0.1.tar.gz (1.1 MB view details)

Uploaded Source

Built Distributions

pyarrow-15.0.1-cp312-cp312-win_amd64.whl (25.3 MB view details)

Uploaded CPython 3.12Windows x86-64

pyarrow-15.0.1-cp312-cp312-manylinux_2_28_x86_64.whl (38.3 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.28+ x86-64

pyarrow-15.0.1-cp312-cp312-manylinux_2_28_aarch64.whl (35.6 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.28+ ARM64

pyarrow-15.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (38.4 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64

pyarrow-15.0.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (36.1 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ ARM64

pyarrow-15.0.1-cp312-cp312-macosx_11_0_arm64.whl (24.2 MB view details)

Uploaded CPython 3.12macOS 11.0+ ARM64

pyarrow-15.0.1-cp312-cp312-macosx_10_15_x86_64.whl (27.1 MB view details)

Uploaded CPython 3.12macOS 10.15+ x86-64

pyarrow-15.0.1-cp311-cp311-win_amd64.whl (24.8 MB view details)

Uploaded CPython 3.11Windows x86-64

pyarrow-15.0.1-cp311-cp311-manylinux_2_28_x86_64.whl (38.3 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.28+ x86-64

pyarrow-15.0.1-cp311-cp311-manylinux_2_28_aarch64.whl (35.7 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.28+ ARM64

pyarrow-15.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (38.4 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

pyarrow-15.0.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (36.1 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ ARM64

pyarrow-15.0.1-cp311-cp311-macosx_11_0_arm64.whl (24.2 MB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

pyarrow-15.0.1-cp311-cp311-macosx_10_15_x86_64.whl (27.2 MB view details)

Uploaded CPython 3.11macOS 10.15+ x86-64

pyarrow-15.0.1-cp310-cp310-win_amd64.whl (24.8 MB view details)

Uploaded CPython 3.10Windows x86-64

pyarrow-15.0.1-cp310-cp310-manylinux_2_28_x86_64.whl (38.3 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.28+ x86-64

pyarrow-15.0.1-cp310-cp310-manylinux_2_28_aarch64.whl (35.7 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.28+ ARM64

pyarrow-15.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (38.4 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

pyarrow-15.0.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (36.2 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ ARM64

pyarrow-15.0.1-cp310-cp310-macosx_11_0_arm64.whl (24.2 MB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

pyarrow-15.0.1-cp310-cp310-macosx_10_15_x86_64.whl (27.1 MB view details)

Uploaded CPython 3.10macOS 10.15+ x86-64

pyarrow-15.0.1-cp39-cp39-win_amd64.whl (24.9 MB view details)

Uploaded CPython 3.9Windows x86-64

pyarrow-15.0.1-cp39-cp39-manylinux_2_28_x86_64.whl (38.3 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.28+ x86-64

pyarrow-15.0.1-cp39-cp39-manylinux_2_28_aarch64.whl (35.7 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.28+ ARM64

pyarrow-15.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (38.4 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

pyarrow-15.0.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (36.2 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ ARM64

pyarrow-15.0.1-cp39-cp39-macosx_11_0_arm64.whl (24.2 MB view details)

Uploaded CPython 3.9macOS 11.0+ ARM64

pyarrow-15.0.1-cp39-cp39-macosx_10_15_x86_64.whl (27.2 MB view details)

Uploaded CPython 3.9macOS 10.15+ x86-64

pyarrow-15.0.1-cp38-cp38-win_amd64.whl (24.9 MB view details)

Uploaded CPython 3.8Windows x86-64

pyarrow-15.0.1-cp38-cp38-manylinux_2_28_x86_64.whl (38.4 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.28+ x86-64

pyarrow-15.0.1-cp38-cp38-manylinux_2_28_aarch64.whl (35.7 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.28+ ARM64

pyarrow-15.0.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (38.5 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

pyarrow-15.0.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (36.2 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ ARM64

pyarrow-15.0.1-cp38-cp38-macosx_11_0_arm64.whl (24.2 MB view details)

Uploaded CPython 3.8macOS 11.0+ ARM64

pyarrow-15.0.1-cp38-cp38-macosx_10_15_x86_64.whl (27.1 MB view details)

Uploaded CPython 3.8macOS 10.15+ x86-64

File details

Details for the file pyarrow-15.0.1.tar.gz.

File metadata

  • Download URL: pyarrow-15.0.1.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-15.0.1.tar.gz
Algorithm Hash digest
SHA256 21d812548d39d490e0c6928a7c663f37b96bf764034123d4b4ab4530ecc757a9
MD5 24c7912bdbf19b4535b33875ed234024
BLAKE2b-256 acf838a8498b294a6d3c74cd81bb411c510d52dfdd40d082651ded761fa7a964

See more details on using hashes here.

File details

Details for the file pyarrow-15.0.1-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: pyarrow-15.0.1-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 25.3 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-15.0.1-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 a6d1f7c15d7f68f08490d0cb34611497c74285b8a6bbeab4ef3fc20117310983
MD5 dfc455d888f8b48ee2d6c6b74fb06861
BLAKE2b-256 e63e641cc5b2b9eb50cbb8712b6f6ca2cdc944934165fd939064b30efe3d762d

See more details on using hashes here.

File details

Details for the file pyarrow-15.0.1-cp312-cp312-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pyarrow-15.0.1-cp312-cp312-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 3f111a014fb8ac2297b43a74bf4495cc479a332908f7ee49cb7cbd50714cb0c1
MD5 9021d28c8d3c5bc2e995d8a153731346
BLAKE2b-256 15d60f9a3045b96eefa43e8fb979b5b5c187fb2127562a579eb5411bafb9097f

See more details on using hashes here.

File details

Details for the file pyarrow-15.0.1-cp312-cp312-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for pyarrow-15.0.1-cp312-cp312-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 31dc30c7ec8958da3a3d9f31d6c3630429b2091ede0ecd0d989fd6bec129f0e4
MD5 215a9014dcd4a5f46a380a2019d70fe9
BLAKE2b-256 0683225d577116e8b4bcba1f14a74fdba94a2fc3d4a4a433225d60f586bb3e9d

See more details on using hashes here.

File details

Details for the file pyarrow-15.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyarrow-15.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5186048493395220550bca7b524420471aac2d77af831f584ce132680f55c3df
MD5 a3136d35763a1578337d703b241f123b
BLAKE2b-256 2c54745a20814d4c0a111f2f0a7990b804e1d05c8355c197b71932862838ab18

See more details on using hashes here.

File details

Details for the file pyarrow-15.0.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyarrow-15.0.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 c0f9c1d630ed2524bd1ddf28ec92780a7b599fd54704cd653519f7ff5aec177a
MD5 ddbfb7eb1220c273572320f295179402
BLAKE2b-256 41a78d48b53306a47121126c2cdb02d1604fb04b916bd844df5f3fc9414a83d1

See more details on using hashes here.

File details

Details for the file pyarrow-15.0.1-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyarrow-15.0.1-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 7c08bb31eb2984ba5c3747d375bb522e7e536b8b25b149c9cb5e1c49b0ccb736
MD5 dddbac4e1c3b444c30b2a1ab9c46afd3
BLAKE2b-256 02a0874a1d7488f5a57cdf5d536bebcefb3fee9b39a09b1d74624f79959263e6

See more details on using hashes here.

File details

Details for the file pyarrow-15.0.1-cp312-cp312-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for pyarrow-15.0.1-cp312-cp312-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 7bd167536ee23192760b8c731d39b7cfd37914c27fd4582335ffd08450ff799d
MD5 9f1116912727f7b7fd7f10026084e041
BLAKE2b-256 1da1c606d8178eb2b41cce189f4b179138afcec30075defb15e719435f19cb18

See more details on using hashes here.

File details

Details for the file pyarrow-15.0.1-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: pyarrow-15.0.1-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 24.8 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-15.0.1-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 1b6e237dd7a08482a8b8f3f6512d258d2460f182931832a8c6ef3953203d31e1
MD5 4a14e8af08b64f8188135e082d088a94
BLAKE2b-256 edf3d4a8d6d3af6b67f8724412da3f4e261671bb614ddc7a724bbc14e72022de

See more details on using hashes here.

File details

Details for the file pyarrow-15.0.1-cp311-cp311-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pyarrow-15.0.1-cp311-cp311-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 cde663352bc83ad75ba7b3206e049ca1a69809223942362a8649e37bd22f9e3b
MD5 4565517991700be9495c46d673e78967
BLAKE2b-256 a9e18b93203a6733611e7a8bc07bfd4f2f9ba1f741d3af236ead52f492d772df

See more details on using hashes here.

File details

Details for the file pyarrow-15.0.1-cp311-cp311-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for pyarrow-15.0.1-cp311-cp311-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 abad2e08652df153a72177ce20c897d083b0c4ebeec051239e2654ddf4d3c996
MD5 6826a5647d283443d5aad7c719d416f0
BLAKE2b-256 ef7f2f627de324b38944b14fcdf8de039c268b087c3916142a0bcc91eb39b55c

See more details on using hashes here.

File details

Details for the file pyarrow-15.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyarrow-15.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 07e652daac6d8b05280cd2af31c0fb61a4490ec6a53dc01588014d9fa3fdbee9
MD5 24e8ee152b1378099e42373c23391764
BLAKE2b-256 a7d080e390b1785c02cb3effff61032595337575248f712033d4aa6f951c9502

See more details on using hashes here.

File details

Details for the file pyarrow-15.0.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyarrow-15.0.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 83bc586903dbeb4365cbc72b602f99f70b96c5882e5dfac5278813c7d624ca3c
MD5 8ab86e8a46dd562e01777a844d3b69ea
BLAKE2b-256 5f4c4b0386dbeb576c98dc5a004ff16532388961828e68e86ccfa1087e2dc842

See more details on using hashes here.

File details

Details for the file pyarrow-15.0.1-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyarrow-15.0.1-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 309e6191be385f2e220586bfdb643f9bb21d7e1bc6dd0a6963dc538e347b2431
MD5 d7ae27ccc9cbb76e7e62d63b947741e4
BLAKE2b-256 11d439ea7badb6c68b5a6d4c58cb069dfbe151140edc96d1d037919ba09c6bb7

See more details on using hashes here.

File details

Details for the file pyarrow-15.0.1-cp311-cp311-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for pyarrow-15.0.1-cp311-cp311-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 a476fefe8bdd56122fb0d4881b785413e025858803cc1302d0d788d3522b374d
MD5 42c859f2171b1d726cb3086cea9e6510
BLAKE2b-256 cf57ed666a9c007fa846072d7b8949d80df924f67340bebf047a0bd3e27ab945

See more details on using hashes here.

File details

Details for the file pyarrow-15.0.1-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: pyarrow-15.0.1-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 24.8 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-15.0.1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 e524a31be7db22deebbbcf242b189063ab9a7652c62471d296b31bc6e3cae77b
MD5 7f99d1262290b846d97e83125b032206
BLAKE2b-256 7c7df206e282698525be086e860c905e67d08a80a9c10e0a88a9b560e5491a17

See more details on using hashes here.

File details

Details for the file pyarrow-15.0.1-cp310-cp310-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pyarrow-15.0.1-cp310-cp310-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 47b1eda15d3aa3f49a07b1808648e1397e5dc6a80a30bf87faa8e2d02dad7ac3
MD5 9e1f4bdff0df1b95cf570a855a585c0b
BLAKE2b-256 e141b0a9bf304d47c18cb4f14cf2f5431eeb4e2259cb74f6e866904f4eb783a5

See more details on using hashes here.

File details

Details for the file pyarrow-15.0.1-cp310-cp310-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for pyarrow-15.0.1-cp310-cp310-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 be5c3d463e33d03eab496e1af7916b1d44001c08f0f458ad27dc16093a020638
MD5 534826867d0b3272c132cda023d128cc
BLAKE2b-256 e003828ff920ba4ad75a8af34264606cf80c12e6393c8cdc83846b1f5453542d

See more details on using hashes here.

File details

Details for the file pyarrow-15.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyarrow-15.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 28cafa86e1944761970d3b3fc0411b14ff9b5c2b73cd22aaf470d7a3976335f5
MD5 51546c982a67352c9c2a90f939114e71
BLAKE2b-256 734bc9707d1d6f006407f93cb950887b4bd023f73253e70f605ccca3625162a7

See more details on using hashes here.

File details

Details for the file pyarrow-15.0.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyarrow-15.0.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 1519e218a6941fc074e4501088d891afcb2adf77c236e03c34babcf3d6a0d1c7
MD5 eb6462f64232a90e6badde8dd30353ec
BLAKE2b-256 cfa30f98201e092d2932e84e1859b4aa5f196fe13b6d0d4e0569ab6e55279061

See more details on using hashes here.

File details

Details for the file pyarrow-15.0.1-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyarrow-15.0.1-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 7543ea88a0ff72f8e6baaf9bfdbec2c62aeabdbede9e4a571c71cc3bc43b6302
MD5 a8a20be29f3ee96dbbcd301bc1ecf092
BLAKE2b-256 7179d19aa34807ed6ef327789d74febc2b2509f3ca0243558942fe84c16dbf65

See more details on using hashes here.

File details

Details for the file pyarrow-15.0.1-cp310-cp310-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for pyarrow-15.0.1-cp310-cp310-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 c2ddb3be5ea938c329a84171694fc230b241ce1b6b0ff1a0280509af51c375fa
MD5 c47c8623ae62ae224abcd9dbd783b1c8
BLAKE2b-256 cfda1825450e660dcee5564d6eb7ccc8f8a11e5d21a25247fcf02e110fea78c5

See more details on using hashes here.

File details

Details for the file pyarrow-15.0.1-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: pyarrow-15.0.1-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 24.9 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-15.0.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 efd3816c7fbfcbd406ac0f69873cebb052effd7cdc153ae5836d1b00845845d7
MD5 bf313c1a2061cb729a8ded12eb516a8c
BLAKE2b-256 4ae45f9b643f1ea420fcb33fb0fc753904b16f5fa18420cc4cbb169d27f00b45

See more details on using hashes here.

File details

Details for the file pyarrow-15.0.1-cp39-cp39-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pyarrow-15.0.1-cp39-cp39-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 4f87757f02735a6bb4ad2e1b98279ac45d53b748d5baf52401516413007c6999
MD5 dfc68da374c814b49a1993d49dda5beb
BLAKE2b-256 5cc03df6e9b14fa562d31f65c77a6b2215f86d2c9498f73dbc685456e16c595e

See more details on using hashes here.

File details

Details for the file pyarrow-15.0.1-cp39-cp39-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for pyarrow-15.0.1-cp39-cp39-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 bb902f780cfd624b2e8fd8501fadab17618fdb548532620ef3d91312aaf0888a
MD5 b8aa3fb5ebd710c812502c11774f9162
BLAKE2b-256 4c9fc5dc4a4686dcffcc597ecf081fc957f37b13db926ee2ad50a00d5997515a

See more details on using hashes here.

File details

Details for the file pyarrow-15.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyarrow-15.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 8f0ea3a29cd5cb99bf14c1c4533eceaa00ea8fb580950fb5a89a5c771a994a4e
MD5 a03c0d9bde7116dc950cd95ff2e5b215
BLAKE2b-256 9a1931aa37c67b1224a480f83b7888c5a4e6d1f14154cc9783a34509d9b360bb

See more details on using hashes here.

File details

Details for the file pyarrow-15.0.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyarrow-15.0.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 862eac5e5f3b6477f7a92b2f27e560e1f4e5e9edfca9ea9da8a7478bb4abd5ce
MD5 5d30ae15f0f90014e92d8dbb59a0ef9a
BLAKE2b-256 276c8066c0f454faf031ed1aee72219499b37e86c37a31a6430d0e21892c37bd

See more details on using hashes here.

File details

Details for the file pyarrow-15.0.1-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyarrow-15.0.1-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 ce8c89848fd37e5313fc2ce601483038ee5566db96ba0808d5883b2e2e55dc53
MD5 7a59ce2cb4adf811183db43bd8a3c857
BLAKE2b-256 620207e99c88ee31177cf9cf8f7ee61c39b78f9dab59a7c11a7f3e4ce1a22252

See more details on using hashes here.

File details

Details for the file pyarrow-15.0.1-cp39-cp39-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for pyarrow-15.0.1-cp39-cp39-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 dd532d3177e031e9b2d2df19fd003d0cc0520d1747659fcabbd4d9bb87de508c
MD5 9fb453e5107fa6a5eae0d2a5010165df
BLAKE2b-256 d03319d6a12dfce86eeacdb3b39b0461df429787e8e6cedc1b0bf59e4d4dbb8d

See more details on using hashes here.

File details

Details for the file pyarrow-15.0.1-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: pyarrow-15.0.1-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 24.9 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-15.0.1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 3a99eac76ae14096c209850935057b9e8ce97a78397c5cde8724674774f34e5d
MD5 f892c5ac7f5dbb2fa9fc9fb0f1c3dd9c
BLAKE2b-256 9bc748913410e5fec7f1071f70c3035b6f938beaa14f5e38d1a58bf7f7524bd8

See more details on using hashes here.

File details

Details for the file pyarrow-15.0.1-cp38-cp38-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pyarrow-15.0.1-cp38-cp38-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 b75e7da26f383787f80ad76143b44844ffa28648fcc7099a83df1538c078d2f2
MD5 0938cc7c4599484302265c7708c0b049
BLAKE2b-256 cc58086a8c7e8b4c8ee9f505eec227a7641e385c06a2ac9d4bbf18447b4e1ed2

See more details on using hashes here.

File details

Details for the file pyarrow-15.0.1-cp38-cp38-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for pyarrow-15.0.1-cp38-cp38-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 b4157f307c202cbbdac147d9b07447a281fa8e63494f7fc85081da351ec6ace9
MD5 c152b19cecd64e67f6afd9f9506c6d5e
BLAKE2b-256 1844028050eca0728cbac3e1b83843ca7fa78b49696fe0ea6bd95a87be448d5e

See more details on using hashes here.

File details

Details for the file pyarrow-15.0.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyarrow-15.0.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e1fa92512128f6c1b8dde0468c1454dd70f3bff623970e370d52efd4d24fd0be
MD5 0c98ea16b8801b2f3f50a192b573c36e
BLAKE2b-256 db30b6b22b8348a969c46051fa88bee427baffbecffa272e66ebbe185034a264

See more details on using hashes here.

File details

Details for the file pyarrow-15.0.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyarrow-15.0.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 2c1c3fc16bc74e33bf8f1e5a212938ed8d88e902f372c4dac6b5bad328567d2f
MD5 a09c87415a27faddfaefe7775c679be8
BLAKE2b-256 02b7b8e96422b7eb527107d6aa4cd1886e8f6c4d18cd44ac1f4f7b76b8ef236c

See more details on using hashes here.

File details

Details for the file pyarrow-15.0.1-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyarrow-15.0.1-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 738f6b53ab1c2f66b2bde8a1d77e186aeaab702d849e0dfa1158c9e2c030add3
MD5 0ffe32b85abf6d153ba66dd2818c0892
BLAKE2b-256 5328541c70971929af641546e05fb98f1db549cb53a280c87f15a748a183df72

See more details on using hashes here.

File details

Details for the file pyarrow-15.0.1-cp38-cp38-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for pyarrow-15.0.1-cp38-cp38-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 9ad931b996f51c2f978ed517b55cb3c6078272fb4ec579e3da5a8c14873b698d
MD5 e43b8c8331cfeffa23b695f0b1e49f8a
BLAKE2b-256 bbe944ac90eb5ff8c694b8b33b9c0ab98148c39f74f1a93f92508263ed2b7d22

See more details on using hashes here.

Supported by

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