Skip to main content

Python plotting package

Project description

PyPi Downloads NUMFocus

DiscourseBadge Gitter GitHubIssues GitTutorial

GitHubActions AzurePipelines AppVeyor Codecov

image

Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python.

Check out our home page for more information.

image

Matplotlib produces publication-quality figures in a variety of hardcopy formats and interactive environments across platforms. Matplotlib can be used in Python scripts, Python/IPython shells, web application servers, and various graphical user interface toolkits.

Install

See the install documentation, which is generated from /doc/users/installing/index.rst

Contribute

You've discovered a bug or something else you want to change - excellent!

You've worked out a way to fix it -- even better!

You want to tell us about it -- best of all!

Start at the contributing guide!

Contact

Discourse is the discussion forum for general questions and discussions and our recommended starting point.

Our active mailing lists (which are mirrored on Discourse) are:

Gitter is for coordinating development and asking questions directly related to contributing to matplotlib.

Citing Matplotlib

If Matplotlib contributes to a project that leads to publication, please acknowledge this by citing Matplotlib.

A ready-made citation entry is available.

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

matplotlib-3.7.5.tar.gz (38.1 MB view details)

Uploaded Source

Built Distributions

matplotlib-3.7.5-pp39-pypy39_pp73-win_amd64.whl (7.5 MB view details)

Uploaded PyPy Windows x86-64

matplotlib-3.7.5-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.5 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

matplotlib-3.7.5-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (7.6 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686

matplotlib-3.7.5-pp39-pypy39_pp73-macosx_10_12_x86_64.whl (7.4 MB view details)

Uploaded PyPy macOS 10.12+ x86-64

matplotlib-3.7.5-pp38-pypy38_pp73-win_amd64.whl (7.5 MB view details)

Uploaded PyPy Windows x86-64

matplotlib-3.7.5-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.5 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

matplotlib-3.7.5-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (7.6 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686

matplotlib-3.7.5-pp38-pypy38_pp73-macosx_10_12_x86_64.whl (7.4 MB view details)

Uploaded PyPy macOS 10.12+ x86-64

matplotlib-3.7.5-cp312-cp312-win_amd64.whl (7.5 MB view details)

Uploaded CPython 3.12 Windows x86-64

matplotlib-3.7.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.6 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

matplotlib-3.7.5-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (11.4 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARM64

matplotlib-3.7.5-cp312-cp312-macosx_11_0_arm64.whl (7.3 MB view details)

Uploaded CPython 3.12 macOS 11.0+ ARM64

matplotlib-3.7.5-cp312-cp312-macosx_10_12_x86_64.whl (7.4 MB view details)

Uploaded CPython 3.12 macOS 10.12+ x86-64

matplotlib-3.7.5-cp312-cp312-macosx_10_12_universal2.whl (8.3 MB view details)

Uploaded CPython 3.12 macOS 10.12+ universal2 (ARM64, x86-64)

matplotlib-3.7.5-cp311-cp311-win_amd64.whl (7.5 MB view details)

Uploaded CPython 3.11 Windows x86-64

matplotlib-3.7.5-cp311-cp311-win32.whl (7.3 MB view details)

Uploaded CPython 3.11 Windows x86

matplotlib-3.7.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.6 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

matplotlib-3.7.5-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl (11.5 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ i686

matplotlib-3.7.5-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (11.4 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

matplotlib-3.7.5-cp311-cp311-macosx_11_0_arm64.whl (7.3 MB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

matplotlib-3.7.5-cp311-cp311-macosx_10_12_x86_64.whl (7.4 MB view details)

Uploaded CPython 3.11 macOS 10.12+ x86-64

matplotlib-3.7.5-cp311-cp311-macosx_10_12_universal2.whl (8.3 MB view details)

Uploaded CPython 3.11 macOS 10.12+ universal2 (ARM64, x86-64)

matplotlib-3.7.5-cp310-cp310-win_amd64.whl (7.5 MB view details)

Uploaded CPython 3.10 Windows x86-64

matplotlib-3.7.5-cp310-cp310-win32.whl (7.3 MB view details)

Uploaded CPython 3.10 Windows x86

matplotlib-3.7.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.6 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

matplotlib-3.7.5-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (11.5 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ i686

matplotlib-3.7.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (11.4 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

matplotlib-3.7.5-cp310-cp310-macosx_11_0_arm64.whl (7.3 MB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

matplotlib-3.7.5-cp310-cp310-macosx_10_12_x86_64.whl (7.4 MB view details)

Uploaded CPython 3.10 macOS 10.12+ x86-64

matplotlib-3.7.5-cp310-cp310-macosx_10_12_universal2.whl (8.3 MB view details)

Uploaded CPython 3.10 macOS 10.12+ universal2 (ARM64, x86-64)

matplotlib-3.7.5-cp39-cp39-win_amd64.whl (7.5 MB view details)

Uploaded CPython 3.9 Windows x86-64

matplotlib-3.7.5-cp39-cp39-win32.whl (7.3 MB view details)

Uploaded CPython 3.9 Windows x86

matplotlib-3.7.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.6 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

matplotlib-3.7.5-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (11.5 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ i686

matplotlib-3.7.5-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (11.4 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

matplotlib-3.7.5-cp39-cp39-macosx_11_0_arm64.whl (7.3 MB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

matplotlib-3.7.5-cp39-cp39-macosx_10_12_x86_64.whl (7.4 MB view details)

Uploaded CPython 3.9 macOS 10.12+ x86-64

matplotlib-3.7.5-cp39-cp39-macosx_10_12_universal2.whl (8.3 MB view details)

Uploaded CPython 3.9 macOS 10.12+ universal2 (ARM64, x86-64)

matplotlib-3.7.5-cp38-cp38-win_amd64.whl (7.5 MB view details)

Uploaded CPython 3.8 Windows x86-64

matplotlib-3.7.5-cp38-cp38-win32.whl (7.3 MB view details)

Uploaded CPython 3.8 Windows x86

matplotlib-3.7.5-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (11.4 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

matplotlib-3.7.5-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (9.2 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ x86-64

matplotlib-3.7.5-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl (9.2 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ i686

matplotlib-3.7.5-cp38-cp38-macosx_11_0_arm64.whl (7.3 MB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

matplotlib-3.7.5-cp38-cp38-macosx_10_12_x86_64.whl (7.4 MB view details)

Uploaded CPython 3.8 macOS 10.12+ x86-64

matplotlib-3.7.5-cp38-cp38-macosx_10_12_universal2.whl (8.3 MB view details)

Uploaded CPython 3.8 macOS 10.12+ universal2 (ARM64, x86-64)

File details

Details for the file matplotlib-3.7.5.tar.gz.

File metadata

  • Download URL: matplotlib-3.7.5.tar.gz
  • Upload date:
  • Size: 38.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.12.1

File hashes

Hashes for matplotlib-3.7.5.tar.gz
Algorithm Hash digest
SHA256 1e5c971558ebc811aa07f54c7b7c677d78aa518ef4c390e14673a09e0860184a
MD5 c8c833d9a0fe965bf3f000a41413967f
BLAKE2b-256 b6f03836719cc3982fbba3b840d18a59db1d0ee9ac7986f24e8c0a092851b67b

See more details on using hashes here.

Provenance

File details

Details for the file matplotlib-3.7.5-pp39-pypy39_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for matplotlib-3.7.5-pp39-pypy39_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 e530ab6a0afd082d2e9c17eb1eb064a63c5b09bb607b2b74fa41adbe3e162286
MD5 d5f1a29891bab8a6771a499df165996e
BLAKE2b-256 87e003eba0a8c3775ef910dbb3a287114a64c47abbcaeab2543c59957f155a86

See more details on using hashes here.

Provenance

File details

Details for the file matplotlib-3.7.5-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for matplotlib-3.7.5-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 2b6aa62adb6c268fc87d80f963aca39c64615c31830b02697743c95590ce3fbb
MD5 5521e4a23decc8857d54af8b72d590bf
BLAKE2b-256 890c5f3e403dcf5c23799c92b0139dd00e41caf23983e9281f5bfeba3065e7d2

See more details on using hashes here.

Provenance

File details

Details for the file matplotlib-3.7.5-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for matplotlib-3.7.5-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 a99866267da1e561c7776fe12bf4442174b79aac1a47bd7e627c7e4d077ebd83
MD5 5150e2f510f4afe0ad6a92664aeca4be
BLAKE2b-256 c32f9e9509727d4c7d1b8e2c88e9330a97d54a1dd20bd316a0c8d2f8b38c4513

See more details on using hashes here.

Provenance

File details

Details for the file matplotlib-3.7.5-pp39-pypy39_pp73-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for matplotlib-3.7.5-pp39-pypy39_pp73-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 b45c9798ea6bb920cb77eb7306409756a7fab9db9b463e462618e0559aecb30e
MD5 06f92bf0da7d7974ad440c336b514095
BLAKE2b-256 20a0c5c0d410798b387ed3a177a5a7eba21055dd9c41d4b15bd0861241a5a60e

See more details on using hashes here.

Provenance

File details

Details for the file matplotlib-3.7.5-pp38-pypy38_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for matplotlib-3.7.5-pp38-pypy38_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 20da7924a08306a861b3f2d1da0d1aa9a6678e480cf8eacffe18b565af2813e7
MD5 f71466165cd1e72c54c60aee8bca5243
BLAKE2b-256 5bc83534c3705a677b71abb6be33609ba129fdeae2ea4e76b2fd3ab62c86fab3

See more details on using hashes here.

Provenance

File details

Details for the file matplotlib-3.7.5-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for matplotlib-3.7.5-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f0ad550da9f160737d7890217c5eeed4337d07e83ca1b2ca6535078f354e7675
MD5 683db9ab1f9ee992594f48a4b2742f3a
BLAKE2b-256 77df16655199bf984c37c6a816b854bc032b56aef521aadc04f27928422f3c91

See more details on using hashes here.

Provenance

File details

Details for the file matplotlib-3.7.5-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for matplotlib-3.7.5-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 b9b3fd853d4a7f008a938df909b96db0b454225f935d3917520305b90680579c
MD5 b5fe75cf94d0f02c000c6e9a6fcae23a
BLAKE2b-256 b23666cfea213e9ba91cda9e257542c249ed235d49021af71c2e8007107d7d4c

See more details on using hashes here.

Provenance

File details

Details for the file matplotlib-3.7.5-pp38-pypy38_pp73-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for matplotlib-3.7.5-pp38-pypy38_pp73-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 2a9a3f4d6a7f88a62a6a18c7e6a84aedcaf4faf0708b4ca46d87b19f1b526f88
MD5 83b6c36b8a4b72684df2c27e2589859c
BLAKE2b-256 276c1bb10f3d6f337b9faa2e96a251bd87ba5fed85a608df95eb4d69acc109f0

See more details on using hashes here.

Provenance

File details

Details for the file matplotlib-3.7.5-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for matplotlib-3.7.5-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 fbf730fca3e1f23713bc1fae0a57db386e39dc81ea57dc305c67f628c1d7a342
MD5 623eeb54c0bd98af7ff240690d6dad2a
BLAKE2b-256 9f24b2db065d40e58033b3350222fb8bbb0ffcb834029df9c1f9349dd9c7dd45

See more details on using hashes here.

Provenance

File details

Details for the file matplotlib-3.7.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for matplotlib-3.7.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 743b1c488ca6a2bc7f56079d282e44d236bf375968bfd1b7ba701fd4d0fa32d6
MD5 61ca1fab87e9ea0aac4068aa63a848bd
BLAKE2b-256 ff2584f181cdae5c9eba6fd1c2c35642aec47233425fe3b0d6fccdb323fb36e0

See more details on using hashes here.

Provenance

File details

Details for the file matplotlib-3.7.5-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for matplotlib-3.7.5-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 4d742ccd1b09e863b4ca58291728db645b51dab343eebb08d5d4b31b308296ce
MD5 116e607a828f40f0a08a66770cca0c3e
BLAKE2b-256 487989cb2fc5ddcfc3d440a739df04dbe6e4e72b1153d1ebd32b45d42eb71d27

See more details on using hashes here.

Provenance

File details

Details for the file matplotlib-3.7.5-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for matplotlib-3.7.5-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 039ad54683a814002ff37bf7981aa1faa40b91f4ff84149beb53d1eb64617980
MD5 5d06ddc69213c7138e9408e3a54522a4
BLAKE2b-256 1aeee49a92d9e369b2b9e4373894171cb4e641771cd7f81bde1d8b6fb8c60842

See more details on using hashes here.

Provenance

File details

Details for the file matplotlib-3.7.5-cp312-cp312-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for matplotlib-3.7.5-cp312-cp312-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 c5a2134162273eb8cdfd320ae907bf84d171de948e62180fa372a3ca7cf0f433
MD5 dfbb00e60046f1f3facf84ff244d5c5e
BLAKE2b-256 af83bbb482d678362ceb68cc59ec4fc705dde636025969361dac77be868541ef

See more details on using hashes here.

Provenance

File details

Details for the file matplotlib-3.7.5-cp312-cp312-macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for matplotlib-3.7.5-cp312-cp312-macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 34bceb9d8ddb142055ff27cd7135f539f2f01be2ce0bafbace4117abe58f8fe4
MD5 50d0c65e38081a96538e07d3409f03dc
BLAKE2b-256 75dc4e341a3ef36f3e7321aec0741317f12c7a23264be708a97972bf018c34af

See more details on using hashes here.

Provenance

File details

Details for the file matplotlib-3.7.5-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for matplotlib-3.7.5-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 084f1f0f2f1010868c6f1f50b4e1c6f2fb201c58475494f1e5b66fed66093647
MD5 16e6976b9db4b25f8438d27eca1d9d9b
BLAKE2b-256 e3b11b6c34b89173d6c206dc5a4028e8518b4dfee3569c13bdc0c88d0486cae7

See more details on using hashes here.

Provenance

File details

Details for the file matplotlib-3.7.5-cp311-cp311-win32.whl.

File metadata

  • Download URL: matplotlib-3.7.5-cp311-cp311-win32.whl
  • Upload date:
  • Size: 7.3 MB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.12.1

File hashes

Hashes for matplotlib-3.7.5-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 fe184b4625b4052fa88ef350b815559dd90cc6cc8e97b62f966e1ca84074aafa
MD5 f0930f040df1748b225f595ab6f2f1a2
BLAKE2b-256 47a91ad7df27a9da70b62109584632f83fe6ef45774701199c44d5777107c240

See more details on using hashes here.

Provenance

File details

Details for the file matplotlib-3.7.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for matplotlib-3.7.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3d028555421912307845e59e3de328260b26d055c5dac9b182cc9783854e98fb
MD5 67aa0e35b23d2f5bb0bc1a9d04b3d548
BLAKE2b-256 f30bfabcf5f66b12fab5c4110d06a6c0fed875c7e63bc446403f58f9dadc9999

See more details on using hashes here.

Provenance

File details

Details for the file matplotlib-3.7.5-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for matplotlib-3.7.5-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 3b15c4c2d374f249f324f46e883340d494c01768dd5287f8bc00b65b625ab56c
MD5 20d9049f66791203c2d220f35a53d266
BLAKE2b-256 55573b36afe104216db1cf2f3889c394b403ea87eda77c4815227c9524462ba8

See more details on using hashes here.

Provenance

File details

Details for the file matplotlib-3.7.5-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for matplotlib-3.7.5-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 efc6bb28178e844d1f408dd4d6341ee8a2e906fc9e0fa3dae497da4e0cab775d
MD5 8b6abb90c45371eea1592f4a64742d69
BLAKE2b-256 946e55d7d8310c96a7459c883aa4be3f5a9338a108278484cbd5c95d480d1cef

See more details on using hashes here.

Provenance

File details

Details for the file matplotlib-3.7.5-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for matplotlib-3.7.5-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 0ccb830fc29442360d91be48527809f23a5dcaee8da5f4d9b2d5b867c1b087b8
MD5 943fe54f535bf9ec1917a36da9e1fc98
BLAKE2b-256 84c1a7705b24f8f9b4d7ceea0002c13bae50cf9423f299f56d8c47a5cd2627d2

See more details on using hashes here.

Provenance

File details

Details for the file matplotlib-3.7.5-cp311-cp311-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for matplotlib-3.7.5-cp311-cp311-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 4ddf7fc0e0dc553891a117aa083039088d8a07686d4c93fb8a810adca68810af
MD5 ba219c042f029006c9cc8e0afd7710ae
BLAKE2b-256 0e0a83bd8589f3597745f624fbcc7da1140088b2f4160ca51c71553c561d0df5

See more details on using hashes here.

Provenance

File details

Details for the file matplotlib-3.7.5-cp311-cp311-macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for matplotlib-3.7.5-cp311-cp311-macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 f65342c147572673f02a4abec2d5a23ad9c3898167df9b47c149f32ce61ca078
MD5 2b037a346cc99457e9e09fa9fa1859fa
BLAKE2b-256 5ec645d0485e59d70b7a6a81eade5d0aed548b42cc65658c0ce0f813b9249165

See more details on using hashes here.

Provenance

File details

Details for the file matplotlib-3.7.5-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for matplotlib-3.7.5-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 f098ffbaab9df1e3ef04e5a5586a1e6b1791380698e84938d8640961c79b1fc0
MD5 936fa894311ab0fbc073f87dec7d9f80
BLAKE2b-256 9199e5f6f7c9438279581c4a2308d264fe24dc98bb80e3b2719f797227e54ddc

See more details on using hashes here.

Provenance

File details

Details for the file matplotlib-3.7.5-cp310-cp310-win32.whl.

File metadata

  • Download URL: matplotlib-3.7.5-cp310-cp310-win32.whl
  • Upload date:
  • Size: 7.3 MB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.12.1

File hashes

Hashes for matplotlib-3.7.5-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 068ebcc59c072781d9dcdb82f0d3f1458271c2de7ca9c78f5bd672141091e9e1
MD5 5e1afd881cba122ba9cfad01323db816
BLAKE2b-256 d9f77c88d34afc38943aa5e4e04d27fc9da5289a48c264c0d794f60c9cda0949

See more details on using hashes here.

Provenance

File details

Details for the file matplotlib-3.7.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for matplotlib-3.7.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1210b7919b4ed94b5573870f316bca26de3e3b07ffdb563e79327dc0e6bba515
MD5 158f7c7d93081ed0503dbeb2d9fe0c15
BLAKE2b-256 b7e2f68aeaedf0ef57cbb793637ee82e62e64ea26cee908db0fe4f8e24d502c0

See more details on using hashes here.

Provenance

File details

Details for the file matplotlib-3.7.5-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for matplotlib-3.7.5-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 6738c89a635ced486c8a20e20111d33f6398a9cbebce1ced59c211e12cd61455
MD5 e7037f3b5ec0b5041010c75cb8a26bee
BLAKE2b-256 543644c5eeb0d83ae1e3ed34d264d7adee947c4fd56c4a9464ce822de094995a

See more details on using hashes here.

Provenance

File details

Details for the file matplotlib-3.7.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for matplotlib-3.7.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 ec0e1adc0ad70ba8227e957551e25a9d2995e319c29f94a97575bb90fa1d4469
MD5 d0c90ba42d0b5a3ef940dbf038694b9b
BLAKE2b-256 942939fc4acdc296dd86e09cecb65c14966e1cf18e0f091b9cbd9bd3f0c19ee4

See more details on using hashes here.

Provenance

File details

Details for the file matplotlib-3.7.5-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for matplotlib-3.7.5-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 fbea1e762b28400393d71be1a02144aa16692a3c4c676ba0178ce83fc2928fdd
MD5 238f531e999813117ec02ddd0b8fee8c
BLAKE2b-256 158389cdef49ef1e320060ec951ba33c132df211561d866c3ed144c81fd110b2

See more details on using hashes here.

Provenance

File details

Details for the file matplotlib-3.7.5-cp310-cp310-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for matplotlib-3.7.5-cp310-cp310-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 d3ce45010fefb028359accebb852ca0c21bd77ec0f281952831d235228f15810
MD5 4478bb8e2eef90896069867f592c647c
BLAKE2b-256 5b05726623be56391ba1740331ad9f1cd30e1adec61c179ddac134957a6dc2e7

See more details on using hashes here.

Provenance

File details

Details for the file matplotlib-3.7.5-cp310-cp310-macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for matplotlib-3.7.5-cp310-cp310-macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 4a87b69cb1cb20943010f63feb0b2901c17a3b435f75349fd9865713bfa63925
MD5 f5e588c65adfffeca8f9222aef03c5b8
BLAKE2b-256 f5b03808e86c41e5d97822d77e89d7f3cb0890725845c050d87ec53732a8b150

See more details on using hashes here.

Provenance

File details

Details for the file matplotlib-3.7.5-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for matplotlib-3.7.5-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 fd4028d570fa4b31b7b165d4a685942ae9cdc669f33741e388c01857d9723eab
MD5 487088b316c9650e31f09a7b32e8e845
BLAKE2b-256 4a84081820c596b9555ecffc6819ee71f847f2fbb0d7c70a42c1eeaa54edf3e0

See more details on using hashes here.

Provenance

File details

Details for the file matplotlib-3.7.5-cp39-cp39-win32.whl.

File metadata

  • Download URL: matplotlib-3.7.5-cp39-cp39-win32.whl
  • Upload date:
  • Size: 7.3 MB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.12.1

File hashes

Hashes for matplotlib-3.7.5-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 29b058738c104d0ca8806395f1c9089dfe4d4f0f78ea765c6c704469f3fffc81
MD5 b0492e80c5f89b51b9ec92f883306dc1
BLAKE2b-256 31b4e77bc11394d858bdf15e356980fceb4ac9604b0fa8212ef3ca4f1dc166b8

See more details on using hashes here.

Provenance

File details

Details for the file matplotlib-3.7.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for matplotlib-3.7.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3785bfd83b05fc0e0c2ae4c4a90034fe693ef96c679634756c50fe6efcc09856
MD5 0c0e84539aaadf4087b1b600ed3dc734
BLAKE2b-256 d83964dd1d36c79e72e614977db338d180cf204cf658927c05a8ef2d47feb4c0

See more details on using hashes here.

Provenance

File details

Details for the file matplotlib-3.7.5-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for matplotlib-3.7.5-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 fa7ebc995a7d747dacf0a717d0eb3aa0f0c6a0e9ea88b0194d3a3cd241a1500f
MD5 3ad4e2d326d12701527e300c8cb20f44
BLAKE2b-256 a639b0204e0e7a899b0676733366a55ccafa723799b719bc7f2e85e5ecde26a0

See more details on using hashes here.

Provenance

File details

Details for the file matplotlib-3.7.5-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for matplotlib-3.7.5-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 1e4e9a868e8163abaaa8259842d85f949a919e1ead17644fb77a60427c90473c
MD5 449bccb0862c2cf6dff369f307d70012
BLAKE2b-256 36c09a1c2a79f85c15d41b60877cbc333694ed80605e5c97a33880c4ecfd5bf1

See more details on using hashes here.

Provenance

File details

Details for the file matplotlib-3.7.5-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for matplotlib-3.7.5-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 5e7cc3078b019bb863752b8b60e8b269423000f1603cb2299608231996bd9d54
MD5 1a509768931270010dcae56a4220c4ce
BLAKE2b-256 1739175f36a6d68d0cf47a4fecbae9728048355df23c9feca8688f1476b198e6

See more details on using hashes here.

Provenance

File details

Details for the file matplotlib-3.7.5-cp39-cp39-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for matplotlib-3.7.5-cp39-cp39-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 9fc6fcfbc55cd719bc0bfa60bde248eb68cf43876d4c22864603bdd23962ba25
MD5 b785a236476b1abe6fe34d827186b730
BLAKE2b-256 6a84be0acd521fa9d6697657cf35878153f8009a42b4b75237aebc302559a8a9

See more details on using hashes here.

Provenance

File details

Details for the file matplotlib-3.7.5-cp39-cp39-macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for matplotlib-3.7.5-cp39-cp39-macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 090964d0afaff9c90e4d8de7836757e72ecfb252fb02884016d809239f715651
MD5 85b77044f727e4bc41d00d9f2e3d3df7
BLAKE2b-256 0d0017487e9e8949ca623af87f6c8767408efe7530b7e1f4d6897fa7fa940834

See more details on using hashes here.

Provenance

File details

Details for the file matplotlib-3.7.5-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for matplotlib-3.7.5-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 f0b60993ed3488b4532ec6b697059897891927cbfc2b8d458a891b60ec03d9d7
MD5 b422907cc0c7cbbb70894efeb834b73a
BLAKE2b-256 165158b0b9de42fe1e665736d9286f88b5f1556a0e22bed8a71f468231761083

See more details on using hashes here.

Provenance

File details

Details for the file matplotlib-3.7.5-cp38-cp38-win32.whl.

File metadata

  • Download URL: matplotlib-3.7.5-cp38-cp38-win32.whl
  • Upload date:
  • Size: 7.3 MB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.12.1

File hashes

Hashes for matplotlib-3.7.5-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 6b641b48c6819726ed47c55835cdd330e53747d4efff574109fd79b2d8a13748
MD5 c2fb39275b069f6c432b2a91ece3bbc7
BLAKE2b-256 c01eb24a07a849c8d458f1b3724f49029f0dedf748bdedb4d5f69491314838b6

See more details on using hashes here.

Provenance

File details

Details for the file matplotlib-3.7.5-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for matplotlib-3.7.5-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 d3e3bc79b2d7d615067bd010caff9243ead1fc95cf735c16e4b2583173f717eb
MD5 590a8de3e6cdf649d6efe8e1b70aed2e
BLAKE2b-256 9b9d8bd37c86b79312c9dbcfa379dec32303f9b38e8456e0829d7e666a0e0a05

See more details on using hashes here.

Provenance

File details

Details for the file matplotlib-3.7.5-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for matplotlib-3.7.5-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 53e64522934df6e1818b25fd48cf3b645b11740d78e6ef765fbb5fa5ce080d02
MD5 4bf59a7529da864aa8c4afedcd2200a6
BLAKE2b-256 3033cc27211d2ffeee4fd7402dca137b6e8a83f6dcae3d4be8d0ad5068555561

See more details on using hashes here.

Provenance

File details

Details for the file matplotlib-3.7.5-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl.

File metadata

File hashes

Hashes for matplotlib-3.7.5-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl
Algorithm Hash digest
SHA256 167200ccfefd1674b60e957186dfd9baf58b324562ad1a28e5d0a6b3bea77905
MD5 b0f4b670f3c643fbc7e7f835a39e3e6b
BLAKE2b-256 9ec4f562df04b08487731743511ff274ae5d31dce2ff3e5621f8b070d20ab54a

See more details on using hashes here.

Provenance

File details

Details for the file matplotlib-3.7.5-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for matplotlib-3.7.5-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 4cdf4ef46c2a1609a50411b66940b31778db1e4b73d4ecc2eaa40bd588979b13
MD5 af4ebaaaef8fce5358043d93da5ea083
BLAKE2b-256 aa594d13e5b6298b1ca5525eea8c68d3806ae93ab6d0bb17ca9846aa3156b92b

See more details on using hashes here.

Provenance

File details

Details for the file matplotlib-3.7.5-cp38-cp38-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for matplotlib-3.7.5-cp38-cp38-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 1dbcca4508bca7847fe2d64a05b237a3dcaec1f959aedb756d5b1c67b770c5ee
MD5 d8fe2e6a6fbf637d78480a9be1dfa7ac
BLAKE2b-256 b1ea129163dcd21db6da5d559a8160c4a74c1dc5f96ac246a3d4248b43c7648d

See more details on using hashes here.

Provenance

File details

Details for the file matplotlib-3.7.5-cp38-cp38-macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for matplotlib-3.7.5-cp38-cp38-macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 cfff9b838531698ee40e40ea1a8a9dc2c01edb400b27d38de6ba44c1f9a8e3d2
MD5 5892dda255470b445bb77aac1878a784
BLAKE2b-256 e37250a38c8fd5dc845b06f8e71c9da802db44b81baabf4af8be78bb8a5622ea

See more details on using hashes here.

Provenance

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