Skip to main content

Python library for Apache Arrow

Project description

Apache Arrow is a columnar in-memory analytics layer designed to accelerate big data. It houses a set of canonical in-memory representations of flat and hierarchical data along with multiple language-bindings for structure manipulation. It also provides IPC and common algorithm implementations.

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

pyarrow-0.7.0-cp36-cp36m-win_amd64.whl (2.4 MB view details)

Uploaded CPython 3.6mWindows x86-64

pyarrow-0.7.0-cp36-cp36m-manylinux1_x86_64.whl (7.7 MB view details)

Uploaded CPython 3.6m

pyarrow-0.7.0-cp36-cp36m-macosx_10_6_intel.whl (6.3 MB view details)

Uploaded CPython 3.6mmacOS 10.6+ Intel (x86-64, i386)

pyarrow-0.7.0-cp35-cp35m-win_amd64.whl (2.3 MB view details)

Uploaded CPython 3.5mWindows x86-64

pyarrow-0.7.0-cp35-cp35m-manylinux1_x86_64.whl (7.6 MB view details)

Uploaded CPython 3.5m

pyarrow-0.7.0-cp35-cp35m-macosx_10_6_intel.whl (6.3 MB view details)

Uploaded CPython 3.5mmacOS 10.6+ Intel (x86-64, i386)

pyarrow-0.7.0-cp34-cp34m-manylinux1_x86_64.whl (7.6 MB view details)

Uploaded CPython 3.4m

pyarrow-0.7.0-cp27-cp27mu-manylinux1_x86_64.whl (7.6 MB view details)

Uploaded CPython 2.7mu

pyarrow-0.7.0-cp27-cp27m-macosx_10_6_intel.whl (6.3 MB view details)

Uploaded CPython 2.7mmacOS 10.6+ Intel (x86-64, i386)

File details

Details for the file pyarrow-0.7.0-cp36-cp36m-win_amd64.whl.

File metadata

File hashes

Hashes for pyarrow-0.7.0-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 4857886f145f8368e7fba9646b8e825a2ff02a1dad9267c853e52c080fece8e8
MD5 68c17074b240702f479547cccfab4bd7
BLAKE2b-256 6623e2fcc901452bda46e386dc4440c0a8fb2557941730748c8fa97cb101940b

See more details on using hashes here.

File details

Details for the file pyarrow-0.7.0-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for pyarrow-0.7.0-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 739eab959e73f736416f76a924c433929b2138a4a5824d2dc66083824312767a
MD5 10482563d47380cfd287499dd9227242
BLAKE2b-256 8bd99b1a8aedb2059e5386d218a60f9e52523b8983fd4164e3f2abe68e4a79d7

See more details on using hashes here.

File details

Details for the file pyarrow-0.7.0-cp36-cp36m-macosx_10_6_intel.whl.

File metadata

File hashes

Hashes for pyarrow-0.7.0-cp36-cp36m-macosx_10_6_intel.whl
Algorithm Hash digest
SHA256 33d00ad413682f472bdc8861450f703f7cb919c93b0847f509959f40d6572f4a
MD5 436b9d796b96336f667d123eb74ad1e9
BLAKE2b-256 42c9119fe67523e71770f62bc681864d76a304babbcc215c6e9ccdadc6e57573

See more details on using hashes here.

File details

Details for the file pyarrow-0.7.0-cp35-cp35m-win_amd64.whl.

File metadata

File hashes

Hashes for pyarrow-0.7.0-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 256b4379aee71ce9b667416b0dea6eb0715b006b7b05aada2c5e51f6207a896a
MD5 baa0e569753adda7f247f9fc7c811917
BLAKE2b-256 bd32dcdac5edd3216c9363abec37f74f7c905518c1a5172c8a5085ef872b1122

See more details on using hashes here.

File details

Details for the file pyarrow-0.7.0-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for pyarrow-0.7.0-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 5d83a06a4e3e015241821bd162fb4aa52c27f98be067121cd0c2b73ec760c7d5
MD5 cf294476195e8de038151981454d4040
BLAKE2b-256 edae3febb068ea9817dfdeac03adcd6cd6ed4663dbe47d789aab89571b23b60e

See more details on using hashes here.

File details

Details for the file pyarrow-0.7.0-cp35-cp35m-macosx_10_6_intel.whl.

File metadata

File hashes

Hashes for pyarrow-0.7.0-cp35-cp35m-macosx_10_6_intel.whl
Algorithm Hash digest
SHA256 66bce23a9e780bcb1af21eba3c401efe4b67be5f1bf980e266db51bce86e290c
MD5 a306db46e9b64af40f49ac868be1eb7d
BLAKE2b-256 c567dcb88001853ffc7df31bb68ff5315d6ce86fd169a214daec770512176388

See more details on using hashes here.

File details

Details for the file pyarrow-0.7.0-cp34-cp34m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for pyarrow-0.7.0-cp34-cp34m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 7b67b13ddba77a4ca50ea247370822433821965d0169b3b4cbda5544bcea2ee1
MD5 6d8ec243f77a382667b6f9b0aa434fd2
BLAKE2b-256 0c012e283b8fae727c4932a4335e2b1980a65c2ef754c69a7d97e39b0157627d

See more details on using hashes here.

File details

Details for the file pyarrow-0.7.0-cp27-cp27mu-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for pyarrow-0.7.0-cp27-cp27mu-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 6defa6e6252d98700628907834c1cf9258f8b57cf6e7311ada5cc39b6f08e1d3
MD5 a9efb0eb1aafd7a91ba20eae7aad8105
BLAKE2b-256 90968901abac3e277f53192a08ce25ea68f234c5caef21a80416bbd3f64af850

See more details on using hashes here.

File details

Details for the file pyarrow-0.7.0-cp27-cp27m-macosx_10_6_intel.whl.

File metadata

File hashes

Hashes for pyarrow-0.7.0-cp27-cp27m-macosx_10_6_intel.whl
Algorithm Hash digest
SHA256 ca0eaf2667db658f97fc27d833336bb477a0a82d406eef9259d8ebff6f907f5e
MD5 8fd7dd7cf0a8bc90c5ff636afc366d9f
BLAKE2b-256 8c5a95c6229bd8551d95e29438fb94f12223343b08b219ad70ba98a39cde60f2

See more details on using hashes here.

Supported by

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