Skip to main content

Python plotting package

Project description

matplotlib strives to produce publication quality 2D graphics

for interactive graphing, scientific publishing, user interface development and web application servers targeting multiple user interfaces and hardcopy output formats. There is a ‘pylab’ mode which emulates matlab graphics.

Project details


Release history Release notifications | RSS feed

This version

2.2.0

Download files

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

Source Distribution

matplotlib-2.2.0.tar.gz (37.2 MB view details)

Uploaded Source

Built Distributions

matplotlib-2.2.0-cp36-cp36m-win_amd64.whl (8.7 MB view details)

Uploaded CPython 3.6m Windows x86-64

matplotlib-2.2.0-cp36-cp36m-win32.whl (8.5 MB view details)

Uploaded CPython 3.6m Windows x86

matplotlib-2.2.0-cp36-cp36m-manylinux1_x86_64.whl (12.5 MB view details)

Uploaded CPython 3.6m

matplotlib-2.2.0-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 (13.7 MB view details)

Uploaded CPython 3.6m macOS 10.10+ Intel (x86-64, i386) macOS 10.10+ x86-64 macOS 10.6+ Intel (x86-64, i386) macOS 10.9+ Intel (x86-64, i386) macOS 10.9+ x86-64

matplotlib-2.2.0-cp35-cp35m-win_amd64.whl (8.7 MB view details)

Uploaded CPython 3.5m Windows x86-64

matplotlib-2.2.0-cp35-cp35m-win32.whl (8.5 MB view details)

Uploaded CPython 3.5m Windows x86

matplotlib-2.2.0-cp35-cp35m-manylinux1_x86_64.whl (12.5 MB view details)

Uploaded CPython 3.5m

matplotlib-2.2.0-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 (13.7 MB view details)

Uploaded CPython 3.5m macOS 10.10+ Intel (x86-64, i386) macOS 10.10+ x86-64 macOS 10.6+ Intel (x86-64, i386) macOS 10.9+ Intel (x86-64, i386) macOS 10.9+ x86-64

matplotlib-2.2.0-cp34-cp34m-win_amd64.whl (8.3 MB view details)

Uploaded CPython 3.4m Windows x86-64

matplotlib-2.2.0-cp34-cp34m-win32.whl (8.2 MB view details)

Uploaded CPython 3.4m Windows x86

matplotlib-2.2.0-cp34-cp34m-manylinux1_x86_64.whl (12.5 MB view details)

Uploaded CPython 3.4m

matplotlib-2.2.0-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (13.7 MB view details)

Uploaded CPython 3.4m macOS 10.10+ Intel (x86-64, i386) macOS 10.10+ x86-64 macOS 10.6+ Intel (x86-64, i386) macOS 10.9+ Intel (x86-64, i386) macOS 10.9+ x86-64

matplotlib-2.2.0-cp27-cp27mu-manylinux1_x86_64.whl (12.5 MB view details)

Uploaded CPython 2.7mu

matplotlib-2.2.0-cp27-cp27m-win_amd64.whl (8.4 MB view details)

Uploaded CPython 2.7m Windows x86-64

matplotlib-2.2.0-cp27-cp27m-win32.whl (8.2 MB view details)

Uploaded CPython 2.7m Windows x86

matplotlib-2.2.0-cp27-cp27m-manylinux1_x86_64.whl (12.5 MB view details)

Uploaded CPython 2.7m

matplotlib-2.2.0-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 (13.7 MB view details)

Uploaded CPython 2.7m macOS 10.10+ Intel (x86-64, i386) macOS 10.10+ x86-64 macOS 10.6+ Intel (x86-64, i386) macOS 10.9+ Intel (x86-64, i386) macOS 10.9+ x86-64

File details

Details for the file matplotlib-2.2.0.tar.gz.

File metadata

  • Download URL: matplotlib-2.2.0.tar.gz
  • Upload date:
  • Size: 37.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for matplotlib-2.2.0.tar.gz
Algorithm Hash digest
SHA256 d744e56eb6742a4a3a9dbbb22c71bd0d6262543a2817fb35c9ed21ff4d06e4ce
MD5 0d12cadce629e8175dbace92cb71d136
BLAKE2b-256 5115a397b941318d7d7f9cf2acbb4a35ce53681ec9799068f5ea57d91a6eea7e

See more details on using hashes here.

File details

Details for the file matplotlib-2.2.0-cp36-cp36m-win_amd64.whl.

File metadata

File hashes

Hashes for matplotlib-2.2.0-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 3947b26e4ba51276df41167614a0fde9fba43740c7999fbd2b5de34fd75119cc
MD5 abe8137e425123a4ea8cf54de994af31
BLAKE2b-256 a655c151fc225c23550f7a3fd026e34a7710af83c8143a19bb7aa9e544405f56

See more details on using hashes here.

File details

Details for the file matplotlib-2.2.0-cp36-cp36m-win32.whl.

File metadata

File hashes

Hashes for matplotlib-2.2.0-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 b91ee711c7e6e4c43f106f223e9eac50e98f35153813f5fd70fd592be3616ade
MD5 77eaf22ae0f08e89533befceedbb4380
BLAKE2b-256 ca23bb8d237dec16003e7fafe87fe6d5fcf8c238c9be650fd7bdc54454abbfc7

See more details on using hashes here.

File details

Details for the file matplotlib-2.2.0-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for matplotlib-2.2.0-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 da2ccf36a7f09d07b64b8bb708f1389f8493a5326a12ba959483b9530c64fd23
MD5 85eb8943df8d6799ec7cc4fad8f7544f
BLAKE2b-256 9509530909669df3503caf1558544054fdbe2922d1f88a0a27820ee652c4fc58

See more details on using hashes here.

File details

Details for the file matplotlib-2.2.0-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 matplotlib-2.2.0-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 c33cf0f2a2064b3ae60f9fb806a1da5addaf6be66ec3d106794955e3888d8442
MD5 09475901713fa35d231d4a846460dca5
BLAKE2b-256 12979d27a78f4ebf12a1df5c273e6629d6aade12c3d301a33366ed01be9cfcf6

See more details on using hashes here.

File details

Details for the file matplotlib-2.2.0-cp35-cp35m-win_amd64.whl.

File metadata

File hashes

Hashes for matplotlib-2.2.0-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 8df8c75938193cda5a041762fcc96f47658a6125fae07dc0678502dba3b62f4c
MD5 f0dec8f4333be42604c0aea595126a7e
BLAKE2b-256 7cb25f808a6d5eec2b84b5cfc62cfc6c971500764df709907502f61faa488401

See more details on using hashes here.

File details

Details for the file matplotlib-2.2.0-cp35-cp35m-win32.whl.

File metadata

File hashes

Hashes for matplotlib-2.2.0-cp35-cp35m-win32.whl
Algorithm Hash digest
SHA256 f6c0fd70adbe1e41d11b3665409566a512ee037268654e558d79f669a6dd183f
MD5 20a031392e8bd7f4c4ff9bf2d04514e6
BLAKE2b-256 3be6afa3ca323006ad5dc8df16d2fa25e87bab3d757a630b8f5f14d601ebe745

See more details on using hashes here.

File details

Details for the file matplotlib-2.2.0-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for matplotlib-2.2.0-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 9819535c069d7207dd55f3992875e96a3ea6a787ddc37afea00cc95bba4125ee
MD5 b6eb375b0c85073b5a18555cd6c325e0
BLAKE2b-256 481389f3024aec74c17a9fec9631dfd612d0a1ef11c1dfc6bbeea9c44e5abfcd

See more details on using hashes here.

File details

Details for the file matplotlib-2.2.0-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 matplotlib-2.2.0-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 f652a3f23ea347a57eb6743ba83cd91ac347bed08fb82acde0e015a9afacbbd9
MD5 6b0b3f3d4f7c796350475fe00cd8e735
BLAKE2b-256 800aca6dd8409ea73dda74614d014a5b5c5c0e618d9cd4973e230efeaa083afd

See more details on using hashes here.

File details

Details for the file matplotlib-2.2.0-cp34-cp34m-win_amd64.whl.

File metadata

File hashes

Hashes for matplotlib-2.2.0-cp34-cp34m-win_amd64.whl
Algorithm Hash digest
SHA256 fe816662169026f6d13063be05f7ccadb11d80e737351b778ceb3fa17ef23002
MD5 4e103d5b5ae570355bb150fe8dff8c2a
BLAKE2b-256 705ab722a5ebdcefab1b17e30d81918c18d2160e1c394bc59269f213ba0ae0bc

See more details on using hashes here.

File details

Details for the file matplotlib-2.2.0-cp34-cp34m-win32.whl.

File metadata

File hashes

Hashes for matplotlib-2.2.0-cp34-cp34m-win32.whl
Algorithm Hash digest
SHA256 504c3a891fcfdb48e94983c50a5b8b626f25000d407ea2d9ab9ed5691762fbe8
MD5 99ad65444aaa42c0cc04a5cfb7926aca
BLAKE2b-256 fe46fb72f2f71d130c0e0b578ecb6cb8235193ea8be80883b3a842444f266f10

See more details on using hashes here.

File details

Details for the file matplotlib-2.2.0-cp34-cp34m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for matplotlib-2.2.0-cp34-cp34m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 c7d2524971ba0b9da1b04a9054749f8654298573243db6eb762d7f58daece1b4
MD5 18f4b963861b4568d93b40c2d18a7168
BLAKE2b-256 32e7de9ae7241905936e41c07746aa69f82f6e1f842c316cbad503e3b8ea8793

See more details on using hashes here.

File details

Details for the file matplotlib-2.2.0-cp34-cp34m-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 matplotlib-2.2.0-cp34-cp34m-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 d65879e7ddce62fc2e6339216a0c0273b3f0e4b2401f7edb512efcbd72d13e9b
MD5 c0e1b208f92f74b83088beb95d56f2dc
BLAKE2b-256 5188aeecff89558d2e7889e0bc8f0abfe38c13171c2723083159391f1077c2b9

See more details on using hashes here.

File details

Details for the file matplotlib-2.2.0-cp27-cp27mu-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for matplotlib-2.2.0-cp27-cp27mu-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 08de895360bd5dc489514b395ff5da153931939145ae4608afb78799dc592dc0
MD5 9b7a3be791fc5b811484cc64e0aafbf7
BLAKE2b-256 d56c05d5ee9970d195be42af9c8ed0211e7193233930111cc0d8687a7f3d5f29

See more details on using hashes here.

File details

Details for the file matplotlib-2.2.0-cp27-cp27m-win_amd64.whl.

File metadata

File hashes

Hashes for matplotlib-2.2.0-cp27-cp27m-win_amd64.whl
Algorithm Hash digest
SHA256 8917e89672b7668861f6db45561bd5fc1ecd240089ab0723e4ca96bd1e1f44ce
MD5 ffff232b8492782f4eaa812ce666622d
BLAKE2b-256 7bc77fe445c2e562d523fad39ad9d962065fff6fa3952671bc9e357c552a7abb

See more details on using hashes here.

File details

Details for the file matplotlib-2.2.0-cp27-cp27m-win32.whl.

File metadata

File hashes

Hashes for matplotlib-2.2.0-cp27-cp27m-win32.whl
Algorithm Hash digest
SHA256 6cbe2b9cdb61fdea331e1e1feebeb1d03c49cb84af43957767e5471b99ddb822
MD5 5daf21c56b92563bfd58f7d9808ac1af
BLAKE2b-256 753dbb6d29831ffa802dff47b6cfaadd2a2c375ca77d9649da2dd34ca40ab698

See more details on using hashes here.

File details

Details for the file matplotlib-2.2.0-cp27-cp27m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for matplotlib-2.2.0-cp27-cp27m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 5837e3dd76d43aa2fe0a90c79f6c1d4d38c205550e8ae685bda176af62c86bbd
MD5 308f02d8ccde702fc24edc78b946abe9
BLAKE2b-256 c85ec54fef69484e16c1e5fbfe3577d816a60a6808c673ff503b821269a590f9

See more details on using hashes here.

File details

Details for the file matplotlib-2.2.0-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 matplotlib-2.2.0-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 3ca7a2c17b5c4c21177f764abca197ff9ac0ac68352e24718d05929c8592ed0d
MD5 8aa64fc90dc34d288461274b9081379b
BLAKE2b-256 d32b5132c725121b0f022f30034eb68af8154b8961c250b6aab5c669fb01e5d2

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