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

1.5.3

Download files

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

Source Distribution

matplotlib-1.5.3.tar.gz (51.6 MB view details)

Uploaded Source

Built Distributions

matplotlib-1.5.3-cp36-cp36m-win_amd64.whl (6.5 MB view details)

Uploaded CPython 3.6m Windows x86-64

matplotlib-1.5.3-cp36-cp36m-win32.whl (6.2 MB view details)

Uploaded CPython 3.6m Windows x86

matplotlib-1.5.3-cp36-cp36m-manylinux1_x86_64.whl (13.7 MB view details)

Uploaded CPython 3.6m

matplotlib-1.5.3-cp36-cp36m-manylinux1_i686.whl (13.5 MB view details)

Uploaded CPython 3.6m

matplotlib-1.5.3-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 (11.2 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-1.5.3-cp35-cp35m-win_amd64.whl (6.5 MB view details)

Uploaded CPython 3.5m Windows x86-64

matplotlib-1.5.3-cp35-cp35m-win32.whl (6.2 MB view details)

Uploaded CPython 3.5m Windows x86

matplotlib-1.5.3-cp35-cp35m-manylinux1_x86_64.whl (13.7 MB view details)

Uploaded CPython 3.5m

matplotlib-1.5.3-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 (11.2 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-1.5.3-cp34-cp34m-win_amd64.whl (6.1 MB view details)

Uploaded CPython 3.4m Windows x86-64

matplotlib-1.5.3-cp34-cp34m-win32.whl (5.9 MB view details)

Uploaded CPython 3.4m Windows x86

matplotlib-1.5.3-cp34-cp34m-manylinux1_x86_64.whl (13.7 MB view details)

Uploaded CPython 3.4m

matplotlib-1.5.3-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 (11.2 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-1.5.3-cp27-cp27mu-manylinux1_x86_64.whl (13.7 MB view details)

Uploaded CPython 2.7mu

matplotlib-1.5.3-cp27-cp27mu-manylinux1_i686.whl (13.4 MB view details)

Uploaded CPython 2.7mu

matplotlib-1.5.3-cp27-cp27m-win_amd64.whl (6.1 MB view details)

Uploaded CPython 2.7m Windows x86-64

matplotlib-1.5.3-cp27-cp27m-win32.whl (6.0 MB view details)

Uploaded CPython 2.7m Windows x86

matplotlib-1.5.3-cp27-cp27m-manylinux1_x86_64.whl (13.7 MB view details)

Uploaded CPython 2.7m

matplotlib-1.5.3-cp27-cp27m-manylinux1_i686.whl (13.4 MB view details)

Uploaded CPython 2.7m

matplotlib-1.5.3-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 (11.2 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-1.5.3.tar.gz.

File metadata

  • Download URL: matplotlib-1.5.3.tar.gz
  • Upload date:
  • Size: 51.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for matplotlib-1.5.3.tar.gz
Algorithm Hash digest
SHA256 a0a5dc39f785014f2088fed2c6d2d129f0444f71afbb9c44f7bdf1b14d86ebbc
MD5 ba993b06113040fee6628d74b80af0fd
BLAKE2b-256 754e2374eed18ac34421ccd7b4907080abd3009e112ca2c11b100c18961312e0

See more details on using hashes here.

File details

Details for the file matplotlib-1.5.3-cp36-cp36m-win_amd64.whl.

File metadata

File hashes

Hashes for matplotlib-1.5.3-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 98e7a6cc386e4c04b3340a2641376fe779621303c2802ef385fca3289dcd0e16
MD5 617e221041a8e876395831af1fce2920
BLAKE2b-256 9bdc702866bf37e35b300ec9256f2145e9467e47757f60cecd372cd6a46590f0

See more details on using hashes here.

File details

Details for the file matplotlib-1.5.3-cp36-cp36m-win32.whl.

File metadata

File hashes

Hashes for matplotlib-1.5.3-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 1fbcbac5c3d90ce233fbb371bb49a8c2da43f54e20d196406cf37843e24582c3
MD5 eba0c1fe49350fc3447b2d404f5559b9
BLAKE2b-256 5293f082a71e23ad13960f3ed2330fac463c4ee2e391809e4b93e142d33cb4e7

See more details on using hashes here.

File details

Details for the file matplotlib-1.5.3-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for matplotlib-1.5.3-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 f094e9e19973c371c56ab43a53ab1624edd96101ff407f9230401a503c877c44
MD5 f7dfbfce639b7150bca4f49d39d72552
BLAKE2b-256 61f69aeee05e614043add127f1485a8e25758bed58f2a5361bbd870aa071e87a

See more details on using hashes here.

File details

Details for the file matplotlib-1.5.3-cp36-cp36m-manylinux1_i686.whl.

File metadata

File hashes

Hashes for matplotlib-1.5.3-cp36-cp36m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 74daa74d6f4989c99c87070fbc8348309fef6ea43a4214e2d5dd92479f80825e
MD5 5416d2eaecc225083c28ed40af68483f
BLAKE2b-256 c0dee7c6a735bedffe9e72d18633f68f662a9f1ac89ca5b31c10a92c9e685bfb

See more details on using hashes here.

File details

Details for the file matplotlib-1.5.3-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-1.5.3-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 683b586474c0337c8303f41941417fa8c334626d42f19282c476065ce0a96b1c
MD5 a8ae79c138dae5a402e977a091799627
BLAKE2b-256 2dde8063c21616ac644e58f2bfd99f2e09f75870b545c2788b9aebacb080c463

See more details on using hashes here.

File details

Details for the file matplotlib-1.5.3-cp35-cp35m-win_amd64.whl.

File metadata

File hashes

Hashes for matplotlib-1.5.3-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 ad635db9def26a514337aac719ed74f5064bd36d552cb8d547e18335da26af85
MD5 571eda3f640997a592a485e9ffe183a8
BLAKE2b-256 6a2251a0a4470aa437fa980685124f4ff0a2158780aecf4bd78d9d71ff5d4238

See more details on using hashes here.

File details

Details for the file matplotlib-1.5.3-cp35-cp35m-win32.whl.

File metadata

File hashes

Hashes for matplotlib-1.5.3-cp35-cp35m-win32.whl
Algorithm Hash digest
SHA256 eff5bc7f02b7c1afc2a36f83af10c3d6bdac8fc07d1dfc01e48d04e46720f8b9
MD5 a46fad0aaa650237aabec277b64e2cb7
BLAKE2b-256 ea515fe48291ad413b255f4b7524245a7dcba568b1abe73ea5aa7cae2370b2de

See more details on using hashes here.

File details

Details for the file matplotlib-1.5.3-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for matplotlib-1.5.3-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 713b0e6eb876070832f7102b27bb4ff867eba54d8aca5116b81af11e39f6c0b2
MD5 93644ee905ed110da0b4e315cd8b5433
BLAKE2b-256 5d6f1cfc7784c285fdb2a976281c6adb874420d7645dd0698c643e774aadc9fe

See more details on using hashes here.

File details

Details for the file matplotlib-1.5.3-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-1.5.3-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 7fb9616444b876c2c964d0d90597e3fb717cb0ff0a4b478199fe39041ef78ccd
MD5 832f875d0b6fb45d8ffa7c8fc2775f82
BLAKE2b-256 79a7c7409e39e164ece35f23e02b43b069a3eb8453726b26f59cd391b7736955

See more details on using hashes here.

File details

Details for the file matplotlib-1.5.3-cp34-cp34m-win_amd64.whl.

File metadata

File hashes

Hashes for matplotlib-1.5.3-cp34-cp34m-win_amd64.whl
Algorithm Hash digest
SHA256 23af332bea034f1f69086637d550d9a6717b09f2030a4c5094eb82d6fda9b0de
MD5 6dc32ebf22bb21a5c7f91e1de58fffee
BLAKE2b-256 092ef8777050aaf393948f5192115fe5934fee221475c17f0d05bd73ac01b332

See more details on using hashes here.

File details

Details for the file matplotlib-1.5.3-cp34-cp34m-win32.whl.

File metadata

File hashes

Hashes for matplotlib-1.5.3-cp34-cp34m-win32.whl
Algorithm Hash digest
SHA256 576867bdf33bfa7f6e161f1b44184bc220afa24aa67f383a3996a1ca3eea5d9c
MD5 c0705c7d2278f557eac4c1c2e75245d5
BLAKE2b-256 5e066a717e37f0bb331bf152bfeb7ded4060f1188b508631e988c1cdbef5a8ab

See more details on using hashes here.

File details

Details for the file matplotlib-1.5.3-cp34-cp34m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for matplotlib-1.5.3-cp34-cp34m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 74200cb3fde281d772bbe0f7c9b8efb3d7b1faa77b1709d838e187b3b4fdf50d
MD5 58421e6d87d9f96ee42605e8a86b339e
BLAKE2b-256 ab23f96507bc0885b9995327089a2b7b0862dc52dbb9117340e3f35a364fe122

See more details on using hashes here.

File details

Details for the file matplotlib-1.5.3-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-1.5.3-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 cf42c86fc1243e8f7d0430225319adf31499d80d2fb4e225d451f85db3e23d6a
MD5 16d927ac651b54121314615c4d090a5b
BLAKE2b-256 a48d073c6fb36f07bca434b2ef61d9db2b48384532616aa71598fa349e27a0cf

See more details on using hashes here.

File details

Details for the file matplotlib-1.5.3-cp27-cp27mu-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for matplotlib-1.5.3-cp27-cp27mu-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 fab31bc9aa99b634471807d79f019cd12b8bab99f16b2575d8fc04229d66f168
MD5 054179e2833b57a4e2a3d2018a927310
BLAKE2b-256 5b508254f79504eb539a1ec4648587711ab8604619dbcee1545c6ea61dcb3f28

See more details on using hashes here.

File details

Details for the file matplotlib-1.5.3-cp27-cp27mu-manylinux1_i686.whl.

File metadata

File hashes

Hashes for matplotlib-1.5.3-cp27-cp27mu-manylinux1_i686.whl
Algorithm Hash digest
SHA256 c1abc3521645d89d61ca7c7bc5aaf0cd4623b36890d4d7a7c1388f1f334db6af
MD5 68c51d18fe077ac08aac9f5a96ca843a
BLAKE2b-256 ede13a4899db2cb2e8db3d9efc1cdc1b49cc495eee2f28448cdc6f780f0bda3a

See more details on using hashes here.

File details

Details for the file matplotlib-1.5.3-cp27-cp27m-win_amd64.whl.

File metadata

File hashes

Hashes for matplotlib-1.5.3-cp27-cp27m-win_amd64.whl
Algorithm Hash digest
SHA256 743e6f7bc75bdc18b49fcafd00539c7bb18babb3abd9d0d8eda2038643f6dc86
MD5 d31f948afdf339de8c06d31c3b0ecb1b
BLAKE2b-256 061c960023c8190814d65a29ae3e1317f36fe6a4d1b733da5367ef4ce0f1b12e

See more details on using hashes here.

File details

Details for the file matplotlib-1.5.3-cp27-cp27m-win32.whl.

File metadata

File hashes

Hashes for matplotlib-1.5.3-cp27-cp27m-win32.whl
Algorithm Hash digest
SHA256 6c284651db271821158d7d1fb029945371eaec79dbfa29fd7e93de79d1f52d79
MD5 96729daa664e44106d41b856373706c2
BLAKE2b-256 572f11d1e9215355d9aa51ad790d787d5c79209f9c1147cebd45b14cdb2781e0

See more details on using hashes here.

File details

Details for the file matplotlib-1.5.3-cp27-cp27m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for matplotlib-1.5.3-cp27-cp27m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 2fb6ec96e4e851f537e81a3586e9bd8f1c3fd3af6696fa24e191fb5dfec326fa
MD5 dcd248163a4820adb9504911f61feaac
BLAKE2b-256 8ad92cf377ae9a4df5ae89be3837f2ec70fdbf758eee2dc04443a8339b149816

See more details on using hashes here.

File details

Details for the file matplotlib-1.5.3-cp27-cp27m-manylinux1_i686.whl.

File metadata

File hashes

Hashes for matplotlib-1.5.3-cp27-cp27m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 86156ce9ce01977b6a02bd8e5680ad5a8811d06375ac186ec69aae346136ffd8
MD5 d073be757052067505582271ade1ea8f
BLAKE2b-256 f33ea4103f8263d0fccc90b028f90615682a404f8b163c19441f9324ec399c83

See more details on using hashes here.

File details

Details for the file matplotlib-1.5.3-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-1.5.3-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 29f6b1351560af1ea34986b327328ccc382050748a4540ac11541419e1922b53
MD5 27b5283f4c100f2e5a157efea8ff4a0a
BLAKE2b-256 fb4e4af65f545ff0bc81563e98b7d7faed9d282e49edcc6a098dd9db260dd9ce

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