Skip to main content

Python library for calculating contours of 2D quadrilateral grids

Project description

ContourPy

ContourPy is a Python library for calculating contours of 2D quadrilateral grids. It is written in C++11 and wrapped using pybind11.

It contains the 2005 and 2014 algorithms used in Matplotlib as well as a newer algorithm that includes more features and is available in both serial and multithreaded versions. It provides an easy way for Python libraries to use contouring algorithms without having to include Matplotlib as a dependency.

Latest release PyPI version conda-forge version
Downloads PyPi downloads
Python version Platforms
Coverage Codecov

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

contourpy-1.3.2.tar.gz (13.5 MB view details)

Uploaded Source

Built Distributions

contourpy-1.3.2-pp311-pypy311_pp73-win_amd64.whl (221.8 kB view details)

Uploaded PyPyWindows x86-64

contourpy-1.3.2-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (318.7 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ x86-64

contourpy-1.3.2-pp311-pypy311_pp73-macosx_10_15_x86_64.whl (266.8 kB view details)

Uploaded PyPymacOS 10.15+ x86-64

contourpy-1.3.2-pp310-pypy310_pp73-win_amd64.whl (220.6 kB view details)

Uploaded PyPyWindows x86-64

contourpy-1.3.2-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (315.1 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ x86-64

contourpy-1.3.2-pp310-pypy310_pp73-macosx_10_15_x86_64.whl (265.7 kB view details)

Uploaded PyPymacOS 10.15+ x86-64

contourpy-1.3.2-cp313-cp313t-win_amd64.whl (238.2 kB view details)

Uploaded CPython 3.13tWindows x86-64

contourpy-1.3.2-cp313-cp313t-win32.whl (189.6 kB view details)

Uploaded CPython 3.13tWindows x86

contourpy-1.3.2-cp313-cp313t-musllinux_1_2_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.13tmusllinux: musl 1.2+ x86-64

contourpy-1.3.2-cp313-cp313t-musllinux_1_2_aarch64.whl (1.3 MB view details)

Uploaded CPython 3.13tmusllinux: musl 1.2+ ARM64

contourpy-1.3.2-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (327.4 kB view details)

Uploaded CPython 3.13tmanylinux: glibc 2.17+ x86-64

contourpy-1.3.2-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl (321.2 kB view details)

Uploaded CPython 3.13tmanylinux: glibc 2.17+ s390x

contourpy-1.3.2-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (349.9 kB view details)

Uploaded CPython 3.13tmanylinux: glibc 2.17+ ppc64le

contourpy-1.3.2-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (310.4 kB view details)

Uploaded CPython 3.13tmanylinux: glibc 2.17+ ARM64

contourpy-1.3.2-cp313-cp313t-macosx_11_0_arm64.whl (268.6 kB view details)

Uploaded CPython 3.13tmacOS 11.0+ ARM64

contourpy-1.3.2-cp313-cp313t-macosx_10_13_x86_64.whl (285.1 kB view details)

Uploaded CPython 3.13tmacOS 10.13+ x86-64

contourpy-1.3.2-cp313-cp313-win_amd64.whl (223.1 kB view details)

Uploaded CPython 3.13Windows x86-64

contourpy-1.3.2-cp313-cp313-win32.whl (178.5 kB view details)

Uploaded CPython 3.13Windows x86

contourpy-1.3.2-cp313-cp313-musllinux_1_2_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.13musllinux: musl 1.2+ x86-64

contourpy-1.3.2-cp313-cp313-musllinux_1_2_aarch64.whl (1.3 MB view details)

Uploaded CPython 3.13musllinux: musl 1.2+ ARM64

contourpy-1.3.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (322.7 kB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ x86-64

contourpy-1.3.2-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl (318.1 kB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ s390x

contourpy-1.3.2-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (346.0 kB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ ppc64le

contourpy-1.3.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (306.7 kB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ ARM64

contourpy-1.3.2-cp313-cp313-macosx_11_0_arm64.whl (255.7 kB view details)

Uploaded CPython 3.13macOS 11.0+ ARM64

contourpy-1.3.2-cp313-cp313-macosx_10_13_x86_64.whl (271.6 kB view details)

Uploaded CPython 3.13macOS 10.13+ x86-64

contourpy-1.3.2-cp312-cp312-win_amd64.whl (223.0 kB view details)

Uploaded CPython 3.12Windows x86-64

contourpy-1.3.2-cp312-cp312-win32.whl (178.5 kB view details)

Uploaded CPython 3.12Windows x86

contourpy-1.3.2-cp312-cp312-musllinux_1_2_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.12musllinux: musl 1.2+ x86-64

contourpy-1.3.2-cp312-cp312-musllinux_1_2_aarch64.whl (1.3 MB view details)

Uploaded CPython 3.12musllinux: musl 1.2+ ARM64

contourpy-1.3.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (323.7 kB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64

contourpy-1.3.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl (319.0 kB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ s390x

contourpy-1.3.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (347.3 kB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ ppc64le

contourpy-1.3.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (307.7 kB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ ARM64

contourpy-1.3.2-cp312-cp312-macosx_11_0_arm64.whl (255.5 kB view details)

Uploaded CPython 3.12macOS 11.0+ ARM64

contourpy-1.3.2-cp312-cp312-macosx_10_13_x86_64.whl (271.6 kB view details)

Uploaded CPython 3.12macOS 10.13+ x86-64

contourpy-1.3.2-cp311-cp311-win_amd64.whl (222.0 kB view details)

Uploaded CPython 3.11Windows x86-64

contourpy-1.3.2-cp311-cp311-win32.whl (178.2 kB view details)

Uploaded CPython 3.11Windows x86

contourpy-1.3.2-cp311-cp311-musllinux_1_2_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.11musllinux: musl 1.2+ x86-64

contourpy-1.3.2-cp311-cp311-musllinux_1_2_aarch64.whl (1.3 MB view details)

Uploaded CPython 3.11musllinux: musl 1.2+ ARM64

contourpy-1.3.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (326.2 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

contourpy-1.3.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl (323.8 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ s390x

contourpy-1.3.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (353.0 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ ppc64le

contourpy-1.3.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (313.1 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ ARM64

contourpy-1.3.2-cp311-cp311-macosx_11_0_arm64.whl (254.6 kB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

contourpy-1.3.2-cp311-cp311-macosx_10_9_x86_64.whl (269.6 kB view details)

Uploaded CPython 3.11macOS 10.9+ x86-64

contourpy-1.3.2-cp310-cp310-win_amd64.whl (221.2 kB view details)

Uploaded CPython 3.10Windows x86-64

contourpy-1.3.2-cp310-cp310-win32.whl (177.5 kB view details)

Uploaded CPython 3.10Windows x86

contourpy-1.3.2-cp310-cp310-musllinux_1_2_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.10musllinux: musl 1.2+ x86-64

contourpy-1.3.2-cp310-cp310-musllinux_1_2_aarch64.whl (1.3 MB view details)

Uploaded CPython 3.10musllinux: musl 1.2+ ARM64

contourpy-1.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (325.0 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

contourpy-1.3.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl (320.9 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ s390x

contourpy-1.3.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (352.0 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ ppc64le

contourpy-1.3.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (312.1 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ ARM64

contourpy-1.3.2-cp310-cp310-macosx_11_0_arm64.whl (253.4 kB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

contourpy-1.3.2-cp310-cp310-macosx_10_9_x86_64.whl (268.6 kB view details)

Uploaded CPython 3.10macOS 10.9+ x86-64

File details

Details for the file contourpy-1.3.2.tar.gz.

File metadata

  • Download URL: contourpy-1.3.2.tar.gz
  • Upload date:
  • Size: 13.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.2

File hashes

Hashes for contourpy-1.3.2.tar.gz
Algorithm Hash digest
SHA256 b6945942715a034c671b7fc54f9588126b0b8bf23db2696e3ca8328f3ff0ab54
MD5 174e6f81bb0ee981b8ece05c3fc057b9
BLAKE2b-256 6654eb9bfc647b19f2009dd5c7f5ec51c4e6ca831725f1aea7a993034f483147

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-pp311-pypy311_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for contourpy-1.3.2-pp311-pypy311_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 8c5acb8dddb0752bf252e01a3035b21443158910ac16a3b0d20e7fed7d534ce5
MD5 6073460cfeea844c57a69c119cbb287f
BLAKE2b-256 87687f46fb537958e87427d98a4074bcde4b67a70b04900cfc5ce29bc2f556c1

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for contourpy-1.3.2-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 49b65a95d642d4efa8f64ba12558fcb83407e58a2dfba9d796d77b63ccfcaff5
MD5 e71d4a5f99d0cd293d36daf31cb1a378
BLAKE2b-256 d4796be7e90c955c0487e7712660d6cead01fa17bff98e0ea275737cc2bc8e71

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-pp311-pypy311_pp73-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for contourpy-1.3.2-pp311-pypy311_pp73-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 5f5964cdad279256c084b69c3f412b7801e15356b16efa9d78aa974041903da0
MD5 54c6967bba0729bd85d39dcce96e9cd9
BLAKE2b-256 ffc091f1215d0d9f9f343e4773ba6c9b89e8c0cc7a64a6263f21139da639d848

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-pp310-pypy310_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for contourpy-1.3.2-pp310-pypy310_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 ded1706ed0c1049224531b81128efbd5084598f18d8a2d9efae833edbd2b40ad
MD5 a8785fa8ccf23f023fdba7ab738d300e
BLAKE2b-256 8f4d5bb3192bbe9d3f27e3061a6a8e7733c9120e203cb8515767d30973f71030

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for contourpy-1.3.2-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 107ba8a6a7eec58bb475329e6d3b95deba9440667c4d62b9b6063942b61d7f16
MD5 fdb447014a5212d3e50ecd3267777c31
BLAKE2b-256 2b25ac07d6ad12affa7d1ffed11b77417d0a6308170f44ff20fa1d5aa6333f03

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-pp310-pypy310_pp73-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for contourpy-1.3.2-pp310-pypy310_pp73-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 fd93cc7f3139b6dd7aab2f26a90dde0aa9fc264dbf70f6740d498a70b860b82c
MD5 020aac8cfc0e3d331de8d16d02267269
BLAKE2b-256 3305b26e3c6ecc05f349ee0013f0bb850a761016d89cec528a98193a48c34033

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp313-cp313t-win_amd64.whl.

File metadata

  • Download URL: contourpy-1.3.2-cp313-cp313t-win_amd64.whl
  • Upload date:
  • Size: 238.2 kB
  • Tags: CPython 3.13t, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.2

File hashes

Hashes for contourpy-1.3.2-cp313-cp313t-win_amd64.whl
Algorithm Hash digest
SHA256 78e9253c3de756b3f6a5174d024c4835acd59eb3f8e2ca13e775dbffe1558f69
MD5 27b743a9aab78ad618c3cd42684790f3
BLAKE2b-256 b0e66000d0094e8a5e32ad62591c8609e269febb6e4db83a1c75ff8868b42731

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp313-cp313t-win32.whl.

File metadata

  • Download URL: contourpy-1.3.2-cp313-cp313t-win32.whl
  • Upload date:
  • Size: 189.6 kB
  • Tags: CPython 3.13t, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.2

File hashes

Hashes for contourpy-1.3.2-cp313-cp313t-win32.whl
Algorithm Hash digest
SHA256 d0e589ae0d55204991450bb5c23f571c64fe43adaa53f93fc902a84c96f52fe1
MD5 adfd83210e0e8a25e3cbde120158de08
BLAKE2b-256 0f1b96d586ccf1b1a9d2004dd519b25fbf104a11589abfd05484ff12199cca21

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp313-cp313t-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for contourpy-1.3.2-cp313-cp313t-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 e298e7e70cf4eb179cc1077be1c725b5fd131ebc81181bf0c03525c8abc297fd
MD5 8b00cee1908d545d1b4ddc883baf7dda
BLAKE2b-256 787369dd9a024444489e22d86108e7b913f3528f56cfc312b5c5727a44188471

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp313-cp313t-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for contourpy-1.3.2-cp313-cp313t-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 d32530b534e986374fc19eaa77fcb87e8a99e5431499949b828312bdcd20ac52
MD5 e1da6cc4bbc503f5104e5338b2b76ed2
BLAKE2b-256 43a310cf483ea683f9f8ab096c24bad3cce20e0d1dd9a4baa0e2093c1c962d9d

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for contourpy-1.3.2-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 cc829960f34ba36aad4302e78eabf3ef16a3a100863f0d4eeddf30e8a485a03b
MD5 4a4d9aae3d902699b56d24c8a95c78da
BLAKE2b-256 f41076d4f778458b0aa83f96e59d65ece72a060bacb20cfbee46cf6cd5ceba41

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for contourpy-1.3.2-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 c6c4639a9c22230276b7bffb6a850dfc8258a2521305e1faefe804d006b2e532
MD5 fc45b8dba4c2a12eddaa885932efd97c
BLAKE2b-256 95b72fc76bc539693180488f7b6cc518da7acbbb9e3b931fd9280504128bf956

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for contourpy-1.3.2-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 970e9173dbd7eba9b4e01aab19215a48ee5dd3f43cef736eebde064a171f89a5
MD5 428a0341e24b1a567b2a32a1c93546dc
BLAKE2b-256 8ba236ea6140c306c9ff6dd38e3bcec80b3b018474ef4d17eb68ceecd26675f4

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for contourpy-1.3.2-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 745b57db7758f3ffc05a10254edd3182a2a83402a89c00957a8e8a22f5582823
MD5 14149aba4bb834ce62da6e3f2d8da20e
BLAKE2b-256 a137cd45f1f051fe6230f751cc5cdd2728bb3a203f5619510ef11e732109593c

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp313-cp313t-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for contourpy-1.3.2-cp313-cp313t-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 c85bb486e9be652314bb5b9e2e3b0d1b2e643d5eec4992c0fbe8ac71775da739
MD5 cfd23421794ea2dce1f8f867bad32a02
BLAKE2b-256 7be25aba47debd55d668e00baf9651b721e7733975dc9fc27264a62b0dd26eb8

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp313-cp313t-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for contourpy-1.3.2-cp313-cp313t-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 0475b1f6604896bc7c53bb070e355e9321e1bc0d381735421a2d2068ec56531f
MD5 4be27bb633f0e2c3efdc56972f386a18
BLAKE2b-256 544ce76fe2a03014a7c767d79ea35c86a747e9325537a8b7627e0e5b3ba266b4

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: contourpy-1.3.2-cp313-cp313-win_amd64.whl
  • Upload date:
  • Size: 223.1 kB
  • Tags: CPython 3.13, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.2

File hashes

Hashes for contourpy-1.3.2-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 e1578f7eafce927b168752ed7e22646dad6cd9bca673c60bff55889fa236ebf9
MD5 2f358ec419a788fec00098c37d07b735
BLAKE2b-256 126e2fed56cd47ca739b43e892707ae9a13790a486a3173be063681ca67d2262

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp313-cp313-win32.whl.

File metadata

  • Download URL: contourpy-1.3.2-cp313-cp313-win32.whl
  • Upload date:
  • Size: 178.5 kB
  • Tags: CPython 3.13, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.2

File hashes

Hashes for contourpy-1.3.2-cp313-cp313-win32.whl
Algorithm Hash digest
SHA256 15ce6ab60957ca74cff444fe66d9045c1fd3e92c8936894ebd1f3eef2fff075f
MD5 d3ff75a06ca3df7ae1476b4edca67fab
BLAKE2b-256 19bab227c3886d120e60e41b28740ac3617b2f2b971b9f601c835661194579f1

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp313-cp313-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for contourpy-1.3.2-cp313-cp313-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 8b7fc0cd78ba2f4695fd0a6ad81a19e7e3ab825c31b577f384aa9d7817dc3bef
MD5 b69d610ebf607eea00df75fb1aca6cf9
BLAKE2b-256 055ab569f4250decee6e8d54498be7bdf29021a4c256e77fe8138c8319ef8eb3

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp313-cp313-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for contourpy-1.3.2-cp313-cp313-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 c66c4906cdbc50e9cba65978823e6e00b45682eb09adbb78c9775b74eb222422
MD5 12fe7fb741ad87184c580dc0ef2f8d03
BLAKE2b-256 7230669b8eb48e0a01c660ead3752a25b44fdb2e5ebc13a55782f639170772f9

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for contourpy-1.3.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 434f0adf84911c924519d2b08fc10491dd282b20bdd3fa8f60fd816ea0b48841
MD5 bcd20e74d8ae83cb74a09f6f54d09357
BLAKE2b-256 c8655245ce8c548a8422236c13ffcdcdada6a2a812c361e9e0c70548bb40b661

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for contourpy-1.3.2-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 977e98a0e0480d3fe292246417239d2d45435904afd6d7332d8455981c408b85
MD5 c2f42cb67f6de1c46e9bbad7e039d410
BLAKE2b-256 dc49ca13bb2da90391fa4219fdb23b078d6065ada886658ac7818e5441448b78

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for contourpy-1.3.2-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 de425af81b6cea33101ae95ece1f696af39446db9682a0b56daaa48cfc29f38f
MD5 0e920228d8ced7771c38f207fec737ba
BLAKE2b-256 dde7ccb9bec80e1ba121efbffad7f38021021cda5be87532ec16fd96533bb2e0

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for contourpy-1.3.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 71e2bd4a1c4188f5c2b8d274da78faab884b59df20df63c34f74aa1813c4427c
MD5 6c3653f7b69a2cd9530b73dcd41455da
BLAKE2b-256 1ec7cf9fdee8200805c9bc3b148f49cb9482a4e3ea2719e772602a425c9b09f8

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp313-cp313-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for contourpy-1.3.2-cp313-cp313-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 3f9e896f447c5c8618f1edb2bafa9a4030f22a575ec418ad70611450720b5b08
MD5 ee95188ecbbc38cd82a8259486522ad1
BLAKE2b-256 ff66a40badddd1223822c95798c55292844b7e871e50f6bfd9f158cb25e0bd39

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp313-cp313-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for contourpy-1.3.2-cp313-cp313-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 de39db2604ae755316cb5967728f4bea92685884b1e767b7c24e983ef5f771cb
MD5 bb85a83f30947b612270c7d6247589fe
BLAKE2b-256 2e615673f7e364b31e4e7ef6f61a4b5121c5f170f941895912f773d95270f3a2

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: contourpy-1.3.2-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 223.0 kB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.2

File hashes

Hashes for contourpy-1.3.2-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 8c942a01d9163e2e5cfb05cb66110121b8d07ad438a17f9e766317bcb62abf73
MD5 2aa18da01568ce850d5baffb84607349
BLAKE2b-256 01c8fadd0b92ffa7b5eb5949bf340a63a4a496a6930a6c37a7ba0f12acb076d6

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp312-cp312-win32.whl.

File metadata

  • Download URL: contourpy-1.3.2-cp312-cp312-win32.whl
  • Upload date:
  • Size: 178.5 kB
  • Tags: CPython 3.12, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.2

File hashes

Hashes for contourpy-1.3.2-cp312-cp312-win32.whl
Algorithm Hash digest
SHA256 90df94c89a91b7362e1142cbee7568f86514412ab8a2c0d0fca72d7e91b62912
MD5 74b868af75c5ec178ee0b0364a8758df
BLAKE2b-256 34dbfcd325f19b5978fb509a7d55e06d99f5f856294c1991097534360b307cf1

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp312-cp312-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for contourpy-1.3.2-cp312-cp312-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 3d80b2c0300583228ac98d0a927a1ba6a2ba6b8a742463c564f1d419ee5b211e
MD5 8552a063842543b77923a6f0476f1212
BLAKE2b-256 2a8abebe5a3f68b484d3a2b8ffaf84704b3e343ef1addea528132ef148e22b3b

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp312-cp312-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for contourpy-1.3.2-cp312-cp312-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 c49f73e61f1f774650a55d221803b101d966ca0c5a2d6d5e4320ec3997489441
MD5 f1199dbce50c0b721703f8c1f606d10e
BLAKE2b-256 30c612a7e6811d08757c7162a541ca4c5c6a34c0f4e98ef2b338791093518e40

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for contourpy-1.3.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f26b383144cf2d2c29f01a1e8170f50dacf0eac02d64139dcd709a8ac4eb3cfe
MD5 eb4c24ecb024a1e51730a4ba042bdd9d
BLAKE2b-256 a832b8a1c8965e4f72482ff2d1ac2cd670ce0b542f203c8e1d34e7c3e6925da7

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for contourpy-1.3.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 532fd26e715560721bb0d5fc7610fce279b3699b018600ab999d1be895b09415
MD5 174b929bc41823c1573b2fb62bdbdd04
BLAKE2b-256 6f66e69e6e904f5ecf6901be3dd16e7e54d41b6ec6ae3405a535286d4418ffb4

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for contourpy-1.3.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 d14f12932a8d620e307f715857107b1d1845cc44fdb5da2bc8e850f5ceba9f87
MD5 1ea4383a8580183ae429f43fda8b7968
BLAKE2b-256 fc97e1d5dbbfa170725ef78357a9a0edc996b09ae4af170927ba8ce977e60a5f

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for contourpy-1.3.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 106fab697af11456fcba3e352ad50effe493a90f893fca6c2ca5c033820cea92
MD5 f415f922599e544d0c95f34ed399fbd2
BLAKE2b-256 e7bb7bd49e1f4fa805772d9fd130e0d375554ebc771ed7172f48dfcd4ca61549

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for contourpy-1.3.2-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 82199cb78276249796419fe36b7386bd8d2cc3f28b3bc19fe2454fe2e26c4c15
MD5 f99535eb9ed83fb10be4527a4cca6513
BLAKE2b-256 933b0004767622a9826ea3d95f0e9d98cd8729015768075d61f9fea8eeca42a8

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp312-cp312-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for contourpy-1.3.2-cp312-cp312-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 4caf2bcd2969402bf77edc4cb6034c7dd7c0803213b3523f111eb7460a51b8d2
MD5 9c28307712feff98e59fe3b1c832f8a7
BLAKE2b-256 34f744785876384eff370c251d58fd65f6ad7f39adce4a093c934d4a67a7c6b6

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: contourpy-1.3.2-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 222.0 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.2

File hashes

Hashes for contourpy-1.3.2-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 5ebac872ba09cb8f2131c46b8739a7ff71de28a24c869bcad554477eb089a878
MD5 1dc3a1eccc955ff48556cbd8f1c0174b
BLAKE2b-256 5efe4029038b4e1c4485cef18e480b0e2cd2d755448bb071eb9977caac80b77b

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp311-cp311-win32.whl.

File metadata

  • Download URL: contourpy-1.3.2-cp311-cp311-win32.whl
  • Upload date:
  • Size: 178.2 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.2

File hashes

Hashes for contourpy-1.3.2-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 1c48188778d4d2f3d48e4643fb15d8608b1d01e4b4d6b0548d9b336c28fc9b6f
MD5 e958a25a64f2f54e3689ea7f3c6d124d
BLAKE2b-256 09337174bdfc8b7767ef2c08ed81244762d93d5c579336fc0b51ca57b33d1b80

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp311-cp311-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for contourpy-1.3.2-cp311-cp311-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 d91a3ccc7fea94ca0acab82ceb77f396d50a1f67412efe4c526f5d20264e6ecd
MD5 0269ec6ad609b6cad4282a10ec7ee8ae
BLAKE2b-256 e24a0058ba34aeea35c0b442ae61a4f4d4ca84d6df8f91309bc2d43bb8dd248f

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp311-cp311-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for contourpy-1.3.2-cp311-cp311-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 eab0f6db315fa4d70f1d8ab514e527f0366ec021ff853d7ed6a2d33605cf4b83
MD5 eb7a0b85c88937743a051246a9abe15c
BLAKE2b-256 8ce59dae809e7e0b2d9d70c52b3d24cba134dd3dad979eb3e5e71f5df22ed1f5

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for contourpy-1.3.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3859783aefa2b8355697f16642695a5b9792e7a46ab86da1118a4a23a51a33d7
MD5 a1ab9227401707c074e0effd42a616bc
BLAKE2b-256 c2f320c5d1ef4f4748e52d60771b8560cf00b69d5c6368b5c2e9311bcfa2a08b

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for contourpy-1.3.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 65a887a6e8c4cd0897507d814b14c54a8c2e2aa4ac9f7686292f9769fcf9a6ab
MD5 bd2e1c5830c10edbceeb2bfe16ba64a9
BLAKE2b-256 1db67925ab9b77386143f39d9c3243fdd101621b4532eb126743201160ffa7e6

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for contourpy-1.3.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 70771a461aaeb335df14deb6c97439973d253ae70660ca085eec25241137ef43
MD5 9c33626fc744e6d26099e1d339416fd5
BLAKE2b-256 c3a68ccf97a50f31adfa36917707fe39c9a0cbc24b3bbb58185577f119736cc9

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for contourpy-1.3.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 d6658ccc7251a4433eebd89ed2672c2ed96fba367fd25ca9512aa92a4b46c4f1
MD5 0d97a58715e720d18249e56801d71f96
BLAKE2b-256 8d2f95adb8dae08ce0ebca4fd8e7ad653159565d9739128b2d5977806656fcd2

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for contourpy-1.3.2-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 b7cd50c38f500bbcc9b6a46643a40e0913673f869315d8e70de0438817cb7773
MD5 f3e2c5f53bf3c6930ce2455e8f4e9d40
BLAKE2b-256 e6753469f011d64b8bbfa04f709bfc23e1dd71be54d05b1b083be9f5b22750d1

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for contourpy-1.3.2-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 6a37a2fb93d4df3fc4c0e363ea4d16f83195fc09c891bc8ce072b9d084853445
MD5 b185beeb2f08b21ac43c9f03e4f1475a
BLAKE2b-256 b3b9ede788a0b56fc5b071639d06c33cb893f68b1178938f3425debebe2dab78

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: contourpy-1.3.2-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 221.2 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.2

File hashes

Hashes for contourpy-1.3.2-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 c440093bbc8fc21c637c03bafcbef95ccd963bc6e0514ad887932c18ca2a759a
MD5 bf189220c5128771583022adaf696816
BLAKE2b-256 54ec5162b8582f2c994721018d0c9ece9dc6ff769d298a8ac6b6a652c307e7df

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp310-cp310-win32.whl.

File metadata

  • Download URL: contourpy-1.3.2-cp310-cp310-win32.whl
  • Upload date:
  • Size: 177.5 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.2

File hashes

Hashes for contourpy-1.3.2-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 f939a054192ddc596e031e50bb13b657ce318cf13d264f095ce9db7dc6ae81c0
MD5 9ff95db7a4db90d82dae31e4147e6be0
BLAKE2b-256 0c4217f3b798fd5e033b46a16f8d9fcb39f1aba051307f5ebf441bad1ecf78f8

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp310-cp310-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for contourpy-1.3.2-cp310-cp310-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 b4f54d6a2defe9f257327b0f243612dd051cc43825587520b1bf74a31e2f6ef2
MD5 5978b407a77d888d2ad055a831fe9903
BLAKE2b-256 d4cc74e5e83d1e35de2d28bd97033426b450bc4fd96e092a1f7a63dc7369b55d

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp310-cp310-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for contourpy-1.3.2-cp310-cp310-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 cdd22595308f53ef2f891040ab2b93d79192513ffccbd7fe19be7aa773a5e09f
MD5 12d89f7babde9f22753e908f7df75597
BLAKE2b-256 83bf9baed89785ba743ef329c2b07fd0611d12bfecbedbdd3eeecf929d8d3b52

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for contourpy-1.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ad687a04bc802cbe8b9c399c07162a3c35e227e2daccf1668eb1f278cb698631
MD5 052f2fc73186f977bca3f11c05d765e6
BLAKE2b-256 325c1ee32d1c7956923202f00cf8d2a14a62ed7517bdc0ee1e55301227fc273c

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for contourpy-1.3.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 e259bced5549ac64410162adc973c5e2fb77f04df4a439d00b478e57a0e65512
MD5 6f45e38ac9ae86ef817410267dde7765
BLAKE2b-256 25eb9f0a0238f305ad8fb7ef42481020d6e20cf15e46be99a1fcf939546a177e

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for contourpy-1.3.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 8d2e74acbcba3bfdb6d9d8384cdc4f9260cae86ed9beee8bd5f54fee49a430b9
MD5 271362294bdb49636996e5410478c151
BLAKE2b-256 22fca9665c88f8a2473f823cf1ec601de9e5375050f1958cbb356cdf06ef1ab6

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for contourpy-1.3.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 9be002b31c558d1ddf1b9b415b162c603405414bacd6932d031c5b5a8b757f0d
MD5 7b9646d364e40879d2606cb19e29f1de
BLAKE2b-256 c1bd20c6726b1b7f81a8bee5271bed5c165f0a8e1f572578a9d27e2ccb763cb2

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for contourpy-1.3.2-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 dc41ba0714aa2968d1f8674ec97504a8f7e334f48eeacebcaa6256213acb0989
MD5 e5e572177bd1fc7aca3c6992dacfd13a
BLAKE2b-256 2f6c330de89ae1087eb622bfca0177d32a7ece50c3ef07b28002de4757d9d875

See more details on using hashes here.

File details

Details for the file contourpy-1.3.2-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for contourpy-1.3.2-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 ba38e3f9f330af820c4b27ceb4b9c7feee5fe0493ea53a8720f4792667465934
MD5 f4321a3716f0b9bc1cdbc996c83f23f4
BLAKE2b-256 12a3da4153ec8fe25d263aa48c1a4cbde7f49b59af86f0b6f7862788c60da737

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