Skip to main content

Hierarchical datasets for Python

Project description

PyTables is a package for managing hierarchical datasets and designed to efficently cope with extremely large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package and features an object-oriented interface that, combined with C-code generated from Cython sources, makes of it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data.

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

tables-3.4.4.tar.gz (4.6 MB view details)

Uploaded Source

Built Distributions

tables-3.4.4-cp37-cp37m-win_amd64.whl (3.0 MB view details)

Uploaded CPython 3.7m Windows x86-64

tables-3.4.4-cp37-cp37m-win32.whl (2.7 MB view details)

Uploaded CPython 3.7m Windows x86

tables-3.4.4-cp36-cp36m-win_amd64.whl (3.0 MB view details)

Uploaded CPython 3.6m Windows x86-64

tables-3.4.4-cp36-cp36m-win32.whl (2.6 MB view details)

Uploaded CPython 3.6m Windows x86

tables-3.4.4-cp36-cp36m-manylinux1_x86_64.whl (3.8 MB view details)

Uploaded CPython 3.6m

tables-3.4.4-cp36-cp36m-manylinux1_i686.whl (3.5 MB view details)

Uploaded CPython 3.6m

tables-3.4.4-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (7.0 MB view details)

Uploaded CPython 3.6m macOS 10.10+ intel macOS 10.10+ x86-64 macOS 10.6+ intel macOS 10.9+ intel macOS 10.9+ x86-64

tables-3.4.4-cp35-cp35m-win_amd64.whl (2.7 MB view details)

Uploaded CPython 3.5m Windows x86-64

tables-3.4.4-cp35-cp35m-win32.whl (2.4 MB view details)

Uploaded CPython 3.5m Windows x86

tables-3.4.4-cp35-cp35m-manylinux1_x86_64.whl (3.8 MB view details)

Uploaded CPython 3.5m

tables-3.4.4-cp35-cp35m-manylinux1_i686.whl (3.5 MB view details)

Uploaded CPython 3.5m

tables-3.4.4-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (7.0 MB view details)

Uploaded CPython 3.5m macOS 10.10+ intel macOS 10.10+ x86-64 macOS 10.6+ intel macOS 10.9+ intel macOS 10.9+ x86-64

tables-3.4.4-cp34-cp34m-manylinux1_x86_64.whl (3.8 MB view details)

Uploaded CPython 3.4m

tables-3.4.4-cp34-cp34m-manylinux1_i686.whl (3.5 MB view details)

Uploaded CPython 3.4m

tables-3.4.4-cp27-cp27mu-manylinux1_x86_64.whl (3.8 MB view details)

Uploaded CPython 2.7mu

tables-3.4.4-cp27-cp27mu-manylinux1_i686.whl (3.5 MB view details)

Uploaded CPython 2.7mu

tables-3.4.4-cp27-cp27m-win_amd64.whl (3.3 MB view details)

Uploaded CPython 2.7m Windows x86-64

tables-3.4.4-cp27-cp27m-win32.whl (3.0 MB view details)

Uploaded CPython 2.7m Windows x86

tables-3.4.4-cp27-cp27m-manylinux1_x86_64.whl (3.8 MB view details)

Uploaded CPython 2.7m

tables-3.4.4-cp27-cp27m-manylinux1_i686.whl (3.5 MB view details)

Uploaded CPython 2.7m

tables-3.4.4-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (7.1 MB view details)

Uploaded CPython 2.7m macOS 10.10+ intel macOS 10.10+ x86-64 macOS 10.6+ intel macOS 10.9+ intel macOS 10.9+ x86-64

File details

Details for the file tables-3.4.4.tar.gz.

File metadata

  • Download URL: tables-3.4.4.tar.gz
  • Upload date:
  • Size: 4.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for tables-3.4.4.tar.gz
Algorithm Hash digest
SHA256 bdc5c073712af2a43babd139c4855fc99496bb2c3f3f5d1b4770a985e6f9ce29
MD5 3ae70d384e9735f092284279677098a6
BLAKE2b-256 4d538f34ce887c2a2ad80518980419a5f6f41defc85a287a355987e559ce9385

See more details on using hashes here.

File details

Details for the file tables-3.4.4-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: tables-3.4.4-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 3.0 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.14.2 setuptools/23.0.0 requests-toolbelt/0.8.0 tqdm/4.23.0 CPython/2.7.12

File hashes

Hashes for tables-3.4.4-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 d263f4380a5dad862efac774428bacb04c2339c4f165f2efdd228867abaffcf6
MD5 0b8e7f9bb9154bbbe6ded6da0f6686ed
BLAKE2b-256 ee7314724f2c7762038c7942c591eec3250d0c1d2acc7095f9550169e2b2bd8b

See more details on using hashes here.

File details

Details for the file tables-3.4.4-cp37-cp37m-win32.whl.

File metadata

  • Download URL: tables-3.4.4-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 2.7 MB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.14.2 setuptools/23.0.0 requests-toolbelt/0.8.0 tqdm/4.23.0 CPython/2.7.12

File hashes

Hashes for tables-3.4.4-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 fd3e774ff048de838df39b018c171bff3ecd9f34a908395a475ba07ac270a34a
MD5 fc1530eaddb22ab3616766f73b867d50
BLAKE2b-256 af35c19e58f46f2db73c1242cd04444f91140643987f929eda84ef0ad2d3744d

See more details on using hashes here.

File details

Details for the file tables-3.4.4-cp36-cp36m-win_amd64.whl.

File metadata

File hashes

Hashes for tables-3.4.4-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 e3bd7084dbf80ef347ad5d33645584e0fe7f8353cf2c33d8922a4c00034fa015
MD5 36d8ed957088e106fc652eeab6e17ae4
BLAKE2b-256 b7bd641f6385e2fbe90b1e6505d82c33482a681500a62b80e92f853d0b7bc832

See more details on using hashes here.

File details

Details for the file tables-3.4.4-cp36-cp36m-win32.whl.

File metadata

File hashes

Hashes for tables-3.4.4-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 07bb9e96b762874e239ad8cec2cab2c4129abf576fffcdd4e961482dc7d5a0a6
MD5 055bc0301c340f7f101da6bd268bf210
BLAKE2b-256 14d53184ba8d7fea930c415da58646a73a1d08ff70f9854d2bb7f10ec0ef27fc

See more details on using hashes here.

File details

Details for the file tables-3.4.4-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for tables-3.4.4-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 da98c8abfeefefad40110b994d5d06ac28d89b00d085530d377376b201566ebf
MD5 fe669270cc19d28015cc7413ebdbe79d
BLAKE2b-256 d71b21f4c7f296b718575c17ef25e61c05742a283c45077b4c8d5a190b3e0b59

See more details on using hashes here.

File details

Details for the file tables-3.4.4-cp36-cp36m-manylinux1_i686.whl.

File metadata

File hashes

Hashes for tables-3.4.4-cp36-cp36m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 b625fc71f082011806a60d3b7370f75e34b141dab549ed65957aed54d1f12f63
MD5 f077df8e8f4ec99ac578892506db98d2
BLAKE2b-256 622b1d25016a41bac483e47515cb6efc2dc555b19ef480ab440504e8b7c1e44c

See more details on using hashes here.

File details

Details for the file tables-3.4.4-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl.

File metadata

File hashes

Hashes for tables-3.4.4-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Algorithm Hash digest
SHA256 c3ac22e3391f67a381d9a3018fd7e0a1ccfcc88b5f61b0d051fe5eba8196388f
MD5 638c05d16aedaac66bf21636f1b99f95
BLAKE2b-256 bc5f79643d50fcf927dcd4b3bd118062550fdcfbd247d63cad1dfb305c6852b5

See more details on using hashes here.

File details

Details for the file tables-3.4.4-cp35-cp35m-win_amd64.whl.

File metadata

File hashes

Hashes for tables-3.4.4-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 44289caf89efac435f49fa4bd298eb48969c026dec25d3a76e7955f1281d1bdf
MD5 8b52716f1880b3a45c76fbef809cddba
BLAKE2b-256 d7840179f44fdf9dffa2c0e640eee81f44c9b38c959ee6d1dc503e8b4a0a7c94

See more details on using hashes here.

File details

Details for the file tables-3.4.4-cp35-cp35m-win32.whl.

File metadata

File hashes

Hashes for tables-3.4.4-cp35-cp35m-win32.whl
Algorithm Hash digest
SHA256 09eed21e12a1286ac2e8c5e67a75d9c7a7f262883535a31ac0b985540135d8d6
MD5 35c67f94ead43b02e3d66cd7f65c3849
BLAKE2b-256 4af9ce5a2ebe47fa3f45f9fab96141b29948a2aef98b49e29a763ec3af52dd5d

See more details on using hashes here.

File details

Details for the file tables-3.4.4-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for tables-3.4.4-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 bc1621bd84769ff3f84cfd1481f93ed0c537db4b3355576270bdbb79bb390b1f
MD5 66b7c780eb263759ba06756594068fd8
BLAKE2b-256 a5dfd70f5df27f72082b4c6977d202788904f613089667e791c4aca0986bb229

See more details on using hashes here.

File details

Details for the file tables-3.4.4-cp35-cp35m-manylinux1_i686.whl.

File metadata

File hashes

Hashes for tables-3.4.4-cp35-cp35m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 f97c8b5ebec23894fc56af25c6e73bc86b463cbccb1f9b9887def24cd7811e2c
MD5 457da02900e3825b18b68a7afa44a2e2
BLAKE2b-256 16223b2a084c9e42e678517beae6918a11c356a5ea84513f86b52c71d83c4b9b

See more details on using hashes here.

File details

Details for the file tables-3.4.4-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl.

File metadata

File hashes

Hashes for tables-3.4.4-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Algorithm Hash digest
SHA256 f786d310cf954eaf52340680dfbc5c1190afc276093f5c454fab605a11488306
MD5 7db9b730d79bd8aac4e9e68c00666150
BLAKE2b-256 7123f030864dd427ea6148aba02610a2a0494d6786e9aea44ac83d547417b4da

See more details on using hashes here.

File details

Details for the file tables-3.4.4-cp34-cp34m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for tables-3.4.4-cp34-cp34m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 82d98123cf67c012d6c7cb69c6733b51eb10d17fc40547bbb71ffedae8da4f90
MD5 e826d6a6feb265daf3119a6cfd1db546
BLAKE2b-256 f321dee3eff923994be8ea2458ac716d77da9249d8687ae7745cff27075051be

See more details on using hashes here.

File details

Details for the file tables-3.4.4-cp34-cp34m-manylinux1_i686.whl.

File metadata

File hashes

Hashes for tables-3.4.4-cp34-cp34m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 bed4f423dd33600907f1c3b88f994920f2b879b12bf83d4372f861ef4085e085
MD5 b81aeb75c36525aa7a32a1e9febc6b81
BLAKE2b-256 84e6b8ba653760b456ecbaded4489336b7b80d8699ac6383f48a05a11ccecd8c

See more details on using hashes here.

File details

Details for the file tables-3.4.4-cp27-cp27mu-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for tables-3.4.4-cp27-cp27mu-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 714f7162ffa4d470da8c9a067935520e5925384445bdb23989351b48d236345c
MD5 a111d5c69b6b49dee64e059b0147ebeb
BLAKE2b-256 1263007b9cf964a8c6b1a92ddc00b2a6a369e132e69ee71d800cb212847e061e

See more details on using hashes here.

File details

Details for the file tables-3.4.4-cp27-cp27mu-manylinux1_i686.whl.

File metadata

File hashes

Hashes for tables-3.4.4-cp27-cp27mu-manylinux1_i686.whl
Algorithm Hash digest
SHA256 e8f9b20b9623c900e7007b89a9d3e315280b666ac70b38b0c191345f7d4d8585
MD5 b20a42b0255a9f8d203955e904367272
BLAKE2b-256 07f394eae6608bfc4690c9a42dae9aba49d06805965300665a093de06ea86bd6

See more details on using hashes here.

File details

Details for the file tables-3.4.4-cp27-cp27m-win_amd64.whl.

File metadata

File hashes

Hashes for tables-3.4.4-cp27-cp27m-win_amd64.whl
Algorithm Hash digest
SHA256 2cd49a98e750fe78b7a2b8e0efd69be608c8358f664f3705c98cc6f04da18a53
MD5 c0a65a35773679117219cf23edee34fe
BLAKE2b-256 4833abe408bbcc2a9454c4a75c7b50f8323f439eebdd9ec2c593f25e99b5e0e1

See more details on using hashes here.

File details

Details for the file tables-3.4.4-cp27-cp27m-win32.whl.

File metadata

File hashes

Hashes for tables-3.4.4-cp27-cp27m-win32.whl
Algorithm Hash digest
SHA256 2379bc98dd8caa6f5824daae4b3b1e53008af32c7b684c67deaeebc1a89a929e
MD5 0a08a26834166ddf7dcb6d4d4b470e0f
BLAKE2b-256 b117930e2fa0fbf64162b716ff30ba957b53767b6e3081b8ae47d505d9ab4764

See more details on using hashes here.

File details

Details for the file tables-3.4.4-cp27-cp27m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for tables-3.4.4-cp27-cp27m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 415731ae46dfdef7fbe305399a700a54b06a82c4331ba20cc64004fb40e79069
MD5 eaacc52a68e4211220cbb9e9cf5e9aec
BLAKE2b-256 ab228865481daee642813dda6cc11cfbbe155f203b8e03dab4e7367cd3756aba

See more details on using hashes here.

File details

Details for the file tables-3.4.4-cp27-cp27m-manylinux1_i686.whl.

File metadata

File hashes

Hashes for tables-3.4.4-cp27-cp27m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 e2e4e40d010a6aa0464e5e281d4aa15f64acd99fd881c0e1e4c1c567b7167dba
MD5 e0b30cb5d453e94d127a1dfb50de04b1
BLAKE2b-256 c3cde51356dfa520a936b9ae6be99d2dae779ae68cfa7c3e446ea5d260cb48e7

See more details on using hashes here.

File details

Details for the file tables-3.4.4-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl.

File metadata

File hashes

Hashes for tables-3.4.4-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Algorithm Hash digest
SHA256 0bd7e5d7ff90df3751bfb2494d41858b96118965edd8cc03758bbc638e2e2f2c
MD5 73a93576c7426889b5539f2361f2f449
BLAKE2b-256 05597cc60304862139c7a74ce4520c2fdbd6ccd98e92e2e1fac40f1aaf2ea2ee

See more details on using hashes here.

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