Skip to main content

Add a quaternion dtype to NumPy

Project description

This package creates a quaternion type in python, and further enables numpy to create and manipulate arrays of quaternions. The usual algebraic operations (addition and multiplication) are available, along with numerous properties like norm and various types of distance measures between two quaternions. There are also additional functions like “squad” and “slerp” interpolation, and conversions to and from axis-angle, matrix, and Euler-angle representations of rotations. The core of the code is written in C for speed.

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

numpy-quaternion-2021.11.4.15.26.3.tar.gz (59.6 kB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

numpy_quaternion-2021.11.4.15.26.3-cp310-cp310-win_amd64.whl (62.3 kB view details)

Uploaded CPython 3.10Windows x86-64

numpy_quaternion-2021.11.4.15.26.3-cp310-cp310-win32.whl (57.9 kB view details)

Uploaded CPython 3.10Windows x86

numpy_quaternion-2021.11.4.15.26.3-cp310-cp310-musllinux_1_1_x86_64.whl (214.3 kB view details)

Uploaded CPython 3.10musllinux: musl 1.1+ x86-64

numpy_quaternion-2021.11.4.15.26.3-cp310-cp310-musllinux_1_1_i686.whl (186.5 kB view details)

Uploaded CPython 3.10musllinux: musl 1.1+ i686

numpy_quaternion-2021.11.4.15.26.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (184.5 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ ARM64

numpy_quaternion-2021.11.4.15.26.3-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (196.0 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.12+ x86-64manylinux: glibc 2.5+ x86-64

numpy_quaternion-2021.11.4.15.26.3-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl (167.7 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.12+ i686manylinux: glibc 2.5+ i686

numpy_quaternion-2021.11.4.15.26.3-cp310-cp310-macosx_11_0_arm64.whl (51.2 kB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

numpy_quaternion-2021.11.4.15.26.3-cp310-cp310-macosx_10_9_x86_64.whl (58.2 kB view details)

Uploaded CPython 3.10macOS 10.9+ x86-64

numpy_quaternion-2021.11.4.15.26.3-cp310-cp310-macosx_10_9_universal2.whl (84.7 kB view details)

Uploaded CPython 3.10macOS 10.9+ universal2 (ARM64, x86-64)

numpy_quaternion-2021.11.4.15.26.3-cp39-cp39-win_amd64.whl (62.3 kB view details)

Uploaded CPython 3.9Windows x86-64

numpy_quaternion-2021.11.4.15.26.3-cp39-cp39-win32.whl (57.9 kB view details)

Uploaded CPython 3.9Windows x86

numpy_quaternion-2021.11.4.15.26.3-cp39-cp39-musllinux_1_1_x86_64.whl (212.7 kB view details)

Uploaded CPython 3.9musllinux: musl 1.1+ x86-64

numpy_quaternion-2021.11.4.15.26.3-cp39-cp39-musllinux_1_1_i686.whl (185.4 kB view details)

Uploaded CPython 3.9musllinux: musl 1.1+ i686

numpy_quaternion-2021.11.4.15.26.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (182.3 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ ARM64

numpy_quaternion-2021.11.4.15.26.3-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (195.0 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.12+ x86-64manylinux: glibc 2.5+ x86-64

numpy_quaternion-2021.11.4.15.26.3-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl (166.0 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.12+ i686manylinux: glibc 2.5+ i686

numpy_quaternion-2021.11.4.15.26.3-cp39-cp39-macosx_11_0_arm64.whl (51.2 kB view details)

Uploaded CPython 3.9macOS 11.0+ ARM64

numpy_quaternion-2021.11.4.15.26.3-cp39-cp39-macosx_10_9_x86_64.whl (58.3 kB view details)

Uploaded CPython 3.9macOS 10.9+ x86-64

numpy_quaternion-2021.11.4.15.26.3-cp39-cp39-macosx_10_9_universal2.whl (84.9 kB view details)

Uploaded CPython 3.9macOS 10.9+ universal2 (ARM64, x86-64)

numpy_quaternion-2021.11.4.15.26.3-cp38-cp38-win_amd64.whl (62.2 kB view details)

Uploaded CPython 3.8Windows x86-64

numpy_quaternion-2021.11.4.15.26.3-cp38-cp38-win32.whl (57.9 kB view details)

Uploaded CPython 3.8Windows x86

numpy_quaternion-2021.11.4.15.26.3-cp38-cp38-musllinux_1_1_x86_64.whl (214.2 kB view details)

Uploaded CPython 3.8musllinux: musl 1.1+ x86-64

numpy_quaternion-2021.11.4.15.26.3-cp38-cp38-musllinux_1_1_i686.whl (186.8 kB view details)

Uploaded CPython 3.8musllinux: musl 1.1+ i686

numpy_quaternion-2021.11.4.15.26.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (180.8 kB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ ARM64

numpy_quaternion-2021.11.4.15.26.3-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (196.5 kB view details)

Uploaded CPython 3.8manylinux: glibc 2.12+ x86-64manylinux: glibc 2.5+ x86-64

numpy_quaternion-2021.11.4.15.26.3-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl (167.1 kB view details)

Uploaded CPython 3.8manylinux: glibc 2.12+ i686manylinux: glibc 2.5+ i686

numpy_quaternion-2021.11.4.15.26.3-cp38-cp38-macosx_11_0_arm64.whl (51.2 kB view details)

Uploaded CPython 3.8macOS 11.0+ ARM64

numpy_quaternion-2021.11.4.15.26.3-cp38-cp38-macosx_10_9_x86_64.whl (58.4 kB view details)

Uploaded CPython 3.8macOS 10.9+ x86-64

numpy_quaternion-2021.11.4.15.26.3-cp38-cp38-macosx_10_9_universal2.whl (84.9 kB view details)

Uploaded CPython 3.8macOS 10.9+ universal2 (ARM64, x86-64)

numpy_quaternion-2021.11.4.15.26.3-cp37-cp37m-win_amd64.whl (62.0 kB view details)

Uploaded CPython 3.7mWindows x86-64

numpy_quaternion-2021.11.4.15.26.3-cp37-cp37m-win32.whl (57.8 kB view details)

Uploaded CPython 3.7mWindows x86

numpy_quaternion-2021.11.4.15.26.3-cp37-cp37m-musllinux_1_1_x86_64.whl (207.4 kB view details)

Uploaded CPython 3.7mmusllinux: musl 1.1+ x86-64

numpy_quaternion-2021.11.4.15.26.3-cp37-cp37m-musllinux_1_1_i686.whl (181.3 kB view details)

Uploaded CPython 3.7mmusllinux: musl 1.1+ i686

numpy_quaternion-2021.11.4.15.26.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (176.3 kB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ ARM64

numpy_quaternion-2021.11.4.15.26.3-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (191.3 kB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.12+ x86-64manylinux: glibc 2.5+ x86-64

numpy_quaternion-2021.11.4.15.26.3-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl (164.1 kB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.12+ i686manylinux: glibc 2.5+ i686

numpy_quaternion-2021.11.4.15.26.3-cp37-cp37m-macosx_10_9_x86_64.whl (58.1 kB view details)

Uploaded CPython 3.7mmacOS 10.9+ x86-64

numpy_quaternion-2021.11.4.15.26.3-cp36-cp36m-win_amd64.whl (62.0 kB view details)

Uploaded CPython 3.6mWindows x86-64

numpy_quaternion-2021.11.4.15.26.3-cp36-cp36m-win32.whl (57.8 kB view details)

Uploaded CPython 3.6mWindows x86

numpy_quaternion-2021.11.4.15.26.3-cp36-cp36m-musllinux_1_1_x86_64.whl (206.4 kB view details)

Uploaded CPython 3.6mmusllinux: musl 1.1+ x86-64

numpy_quaternion-2021.11.4.15.26.3-cp36-cp36m-musllinux_1_1_i686.whl (180.4 kB view details)

Uploaded CPython 3.6mmusllinux: musl 1.1+ i686

numpy_quaternion-2021.11.4.15.26.3-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (176.2 kB view details)

Uploaded CPython 3.6mmanylinux: glibc 2.17+ ARM64

numpy_quaternion-2021.11.4.15.26.3-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (190.2 kB view details)

Uploaded CPython 3.6mmanylinux: glibc 2.12+ x86-64manylinux: glibc 2.5+ x86-64

numpy_quaternion-2021.11.4.15.26.3-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl (163.1 kB view details)

Uploaded CPython 3.6mmanylinux: glibc 2.12+ i686manylinux: glibc 2.5+ i686

numpy_quaternion-2021.11.4.15.26.3-cp36-cp36m-macosx_10_9_x86_64.whl (58.2 kB view details)

Uploaded CPython 3.6mmacOS 10.9+ x86-64

File details

Details for the file numpy-quaternion-2021.11.4.15.26.3.tar.gz.

File metadata

  • Download URL: numpy-quaternion-2021.11.4.15.26.3.tar.gz
  • Upload date:
  • Size: 59.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for numpy-quaternion-2021.11.4.15.26.3.tar.gz
Algorithm Hash digest
SHA256 b0dc670b2adc8ff2fb8d6105a48769873f68d6ccbe20af6a19e899b1e8d48aaf
MD5 7c0338de1174a577dde5a2f8eb8ddeea
BLAKE2b-256 45d86fb78d8f9e9c5de52908bcbc7ca08ab7b770aa0a1078b71615f3b46aed1b

See more details on using hashes here.

File details

Details for the file numpy_quaternion-2021.11.4.15.26.3-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: numpy_quaternion-2021.11.4.15.26.3-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 62.3 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for numpy_quaternion-2021.11.4.15.26.3-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 b61644bd26d43c1299e6e61811f11c6eb90e6d236f72c551597f183d81bf4fe7
MD5 f5b9ea1f794e1e7f9bed560e2d1b337c
BLAKE2b-256 9205f0726645ac5657e70a12502edc3ba92e6e3d31a04c2768d2ede929684470

See more details on using hashes here.

File details

Details for the file numpy_quaternion-2021.11.4.15.26.3-cp310-cp310-win32.whl.

File metadata

  • Download URL: numpy_quaternion-2021.11.4.15.26.3-cp310-cp310-win32.whl
  • Upload date:
  • Size: 57.9 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for numpy_quaternion-2021.11.4.15.26.3-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 fcbf44821203254ef07d8bbefa390a9f1285bd5c0bf4bf0511417238e9e75e0c
MD5 549bc80b01621268c820726b7bbeca09
BLAKE2b-256 96bcc2a222936fc0c22cbe60164e40881c50788c92fcc01fdf955fdabe2f2221

See more details on using hashes here.

File details

Details for the file numpy_quaternion-2021.11.4.15.26.3-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for numpy_quaternion-2021.11.4.15.26.3-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 c673504d6278376da0be53573a4c9c758acc855a7f3db6d7a8d2b36f460dff6f
MD5 0caa50d8ab5d59f406cefa69b1e5db4c
BLAKE2b-256 8f4083ed969db76f99979f40eaea518dc7a017a12037bb4862cc6664e76b82b8

See more details on using hashes here.

File details

Details for the file numpy_quaternion-2021.11.4.15.26.3-cp310-cp310-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for numpy_quaternion-2021.11.4.15.26.3-cp310-cp310-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 f9501d2b3f0735b494465784e88870a783728a03f98482152e5f59f5cd8faf8c
MD5 30d6f32d95239ec96c0c5553ebfa40e1
BLAKE2b-256 959ce94e888fb1ac1e2e9e1c4060d0d1efa002bc0b0335d9249d7f4ec34c8fee

See more details on using hashes here.

File details

Details for the file numpy_quaternion-2021.11.4.15.26.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for numpy_quaternion-2021.11.4.15.26.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 c560abb822986c5d1c0e79bfbae69cceb4961cee778c3541e08a2c961bc1fcbb
MD5 3209926dad207f1686707ee52bfdeefd
BLAKE2b-256 e8948e85fcaa3c87bc860b31859095d5ca7adfafb4ca337c19c27547b6485974

See more details on using hashes here.

File details

Details for the file numpy_quaternion-2021.11.4.15.26.3-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for numpy_quaternion-2021.11.4.15.26.3-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 55cca324d113783c42b5b931dc758abd2b0f665b33f0779ac4d3b46368ed5b43
MD5 f799b186287d9043d8ceb7792893fecf
BLAKE2b-256 082be85256fd60871fcaa46d83e10a9ed3569b43c5df68178307e35a15ce6ebf

See more details on using hashes here.

File details

Details for the file numpy_quaternion-2021.11.4.15.26.3-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl.

File metadata

File hashes

Hashes for numpy_quaternion-2021.11.4.15.26.3-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl
Algorithm Hash digest
SHA256 2e8bde2b050df904d228cec2287752c108fcf46f45d548aa6a3659695154dfa1
MD5 48b9412a2223707397231b250d864edb
BLAKE2b-256 abec19b42a2ae525f8a2191c8d4080e4a316b2383a9b062a5aeac9e184daba90

See more details on using hashes here.

File details

Details for the file numpy_quaternion-2021.11.4.15.26.3-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for numpy_quaternion-2021.11.4.15.26.3-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 d12c99ed35f2e199a81688465aa5ff6eb02a4404be153e92762c6d0c7afebd1f
MD5 e228d8f7a6c9dbb6880d8ef942443163
BLAKE2b-256 6edc1ae059857d5c7393aa6a871231b12b96773342c20962d863960fcb4b4924

See more details on using hashes here.

File details

Details for the file numpy_quaternion-2021.11.4.15.26.3-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for numpy_quaternion-2021.11.4.15.26.3-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 5121bfd6b72f2a39f2c74087cc2630f80fcddb6989bed4967a1db3dec6f1b60f
MD5 e3920925f388f57dae39966734c0e5d0
BLAKE2b-256 b4cc90bb20d5e1a10859cd9a8008173f0d5474aa18162dc914352531ccc6f28e

See more details on using hashes here.

File details

Details for the file numpy_quaternion-2021.11.4.15.26.3-cp310-cp310-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for numpy_quaternion-2021.11.4.15.26.3-cp310-cp310-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 370a326a822058f72844a15f17b077ac9525e7f574aacb4d12425f85b8c6521a
MD5 139ccac171ab9d8ebd3510d1ac6836c5
BLAKE2b-256 151a5d9653e304c759d4af4552882da21ff837b232e4cb31964958e94b887ba0

See more details on using hashes here.

File details

Details for the file numpy_quaternion-2021.11.4.15.26.3-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: numpy_quaternion-2021.11.4.15.26.3-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 62.3 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for numpy_quaternion-2021.11.4.15.26.3-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 3150a6e8a0c166dced8eb461c7749ec28b22c7b4de6ce2a2826c30a16dcd35aa
MD5 ac9d609874adc04e72a25abb94a50cd3
BLAKE2b-256 bda3fbef74bb53ba93770e802fecba8fde22166a0f1f2d97f888e57bfd6b49a2

See more details on using hashes here.

File details

Details for the file numpy_quaternion-2021.11.4.15.26.3-cp39-cp39-win32.whl.

File metadata

  • Download URL: numpy_quaternion-2021.11.4.15.26.3-cp39-cp39-win32.whl
  • Upload date:
  • Size: 57.9 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for numpy_quaternion-2021.11.4.15.26.3-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 b1da54cd0f85bd97b5bd2a7bce51fd8a7405d2c0d3514a5a0e0c9366642f8619
MD5 351968e23120e0235f1b56d0d6ff07a7
BLAKE2b-256 a64248f47ea6af8653422ed0661c595d426f38cea4f61ec62df316f09f4d386a

See more details on using hashes here.

File details

Details for the file numpy_quaternion-2021.11.4.15.26.3-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for numpy_quaternion-2021.11.4.15.26.3-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 12cba9389cac0bcb04660e7ad59d7567bc2408d0ac8a835364492c1da161ccea
MD5 c381014e67c9fab51c7e84c8a56c8389
BLAKE2b-256 f4ed3a62ca95b92d178b4bc9e2179aa36eba51f4b9e7b615ed5787bbd4fdcce8

See more details on using hashes here.

File details

Details for the file numpy_quaternion-2021.11.4.15.26.3-cp39-cp39-musllinux_1_1_i686.whl.

File metadata

  • Download URL: numpy_quaternion-2021.11.4.15.26.3-cp39-cp39-musllinux_1_1_i686.whl
  • Upload date:
  • Size: 185.4 kB
  • Tags: CPython 3.9, musllinux: musl 1.1+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for numpy_quaternion-2021.11.4.15.26.3-cp39-cp39-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 0e27a9078ff104169d557cbfbaa910d4b535d1a604f07926fcd8b6201b389747
MD5 000a027f4aee7115edd5b87da3eb6134
BLAKE2b-256 efce524bed75adcbe384d14651449fadc19c890484d0e5c032ec9910d7ffef1d

See more details on using hashes here.

File details

Details for the file numpy_quaternion-2021.11.4.15.26.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for numpy_quaternion-2021.11.4.15.26.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 c163bab58c4175fcc84cc3b8bf88420fcd3521901dea2b1a4ac8cc023667192a
MD5 a11a13a8e38b5b51f48a169e3b71607a
BLAKE2b-256 19f7378b786163a68452d242700ed9e76defbbe0377d646485abfe7ff56140c7

See more details on using hashes here.

File details

Details for the file numpy_quaternion-2021.11.4.15.26.3-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for numpy_quaternion-2021.11.4.15.26.3-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 dc26600924cf89277c134b958faec48e4de5295511a3da5ef166384b1185a959
MD5 a0612b7012c6c1126e51ddce1aaf0cbe
BLAKE2b-256 c29b52c84f39e4d42a07169765958fa7ae9b4954f37bb655ed2df56906b38833

See more details on using hashes here.

File details

Details for the file numpy_quaternion-2021.11.4.15.26.3-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl.

File metadata

File hashes

Hashes for numpy_quaternion-2021.11.4.15.26.3-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl
Algorithm Hash digest
SHA256 0a4e15307e6ef37681f3200cbd6c29af873dbde406c21dc607c329d5bc330fb5
MD5 89dd7114068dae1d0dfb723db6149e67
BLAKE2b-256 04c76d0343ca95f69eaeab3595bd710364f7374dda7a68a8e074b2251e697c25

See more details on using hashes here.

File details

Details for the file numpy_quaternion-2021.11.4.15.26.3-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for numpy_quaternion-2021.11.4.15.26.3-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 701279c3de83dfbd4fe54d75f87de587ce68efa6e524c558846d2d6a76cc9d4e
MD5 f599d7bd3e6ad1a598fee82c68013edb
BLAKE2b-256 d0681d1dfa5e249ff47421a6c21bdb1b1b906caa0bbafda41ca912319eba9a76

See more details on using hashes here.

File details

Details for the file numpy_quaternion-2021.11.4.15.26.3-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for numpy_quaternion-2021.11.4.15.26.3-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 f31f7be77e3fcc5c6eec0b0ad1a0a9cda1baa4ccdc3b9597050ac343cb827704
MD5 140bfc686166dcc21da3a142c1e592fb
BLAKE2b-256 82a314185ce893738c7f6c191c91909ceee362f20d956a9a33208eb1c967a26b

See more details on using hashes here.

File details

Details for the file numpy_quaternion-2021.11.4.15.26.3-cp39-cp39-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for numpy_quaternion-2021.11.4.15.26.3-cp39-cp39-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 4281f763f2cf69789ed8100be308e6466f62df7cfd581dd546e190d02768e9d0
MD5 39ff73e02416a79cfc5bb96cb8783f68
BLAKE2b-256 b9799cce8cfa0e7994656d6e8a9cc0932a0d9ce9f8e93e160c8f4182d2d1b52c

See more details on using hashes here.

File details

Details for the file numpy_quaternion-2021.11.4.15.26.3-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: numpy_quaternion-2021.11.4.15.26.3-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 62.2 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for numpy_quaternion-2021.11.4.15.26.3-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 4d087ed8fa4ac676ae2b2b6708c10adfb5f2a075cfc1cc7cd52d014dd8a8f7a8
MD5 8bde6ef0150fbc5073d6bd2adfa75b47
BLAKE2b-256 f6500f41b0b04983769eb98c636c5c4414fcca9c6e958253cb7739f4b4731a3e

See more details on using hashes here.

File details

Details for the file numpy_quaternion-2021.11.4.15.26.3-cp38-cp38-win32.whl.

File metadata

  • Download URL: numpy_quaternion-2021.11.4.15.26.3-cp38-cp38-win32.whl
  • Upload date:
  • Size: 57.9 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for numpy_quaternion-2021.11.4.15.26.3-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 92bc50c554234bb78cc8e5925639f35176740eaa2fd93aa8ac3dbc3c68e34845
MD5 f7008ea0726e98040d3495f62dc2dc8a
BLAKE2b-256 1f11e8aa17c96cd5c69f9ebe77872a8e31d4005a781b0083351d4c8342b77cbf

See more details on using hashes here.

File details

Details for the file numpy_quaternion-2021.11.4.15.26.3-cp38-cp38-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for numpy_quaternion-2021.11.4.15.26.3-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 82adf6c65c823c09b1c65b611adeaf38509de62b6a9d89ae1f7b3fa36fba2a24
MD5 7f110434cd53b4e2553dc4d8a4216ef5
BLAKE2b-256 be33a9cad37df1b883bd17fbbe24f9471c79a430b1f690d642b95927d8917ba6

See more details on using hashes here.

File details

Details for the file numpy_quaternion-2021.11.4.15.26.3-cp38-cp38-musllinux_1_1_i686.whl.

File metadata

  • Download URL: numpy_quaternion-2021.11.4.15.26.3-cp38-cp38-musllinux_1_1_i686.whl
  • Upload date:
  • Size: 186.8 kB
  • Tags: CPython 3.8, musllinux: musl 1.1+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for numpy_quaternion-2021.11.4.15.26.3-cp38-cp38-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 2bf1d83eb012ab986b8007535abe26e7b9448e481ae2046ce3797a9178bb16fd
MD5 016e720e3e8886fb9ca946907f0f2ae8
BLAKE2b-256 fabec3bdbd4026069b5439ff5df3c869dcca5476776a16384036dafc2e8c08ab

See more details on using hashes here.

File details

Details for the file numpy_quaternion-2021.11.4.15.26.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for numpy_quaternion-2021.11.4.15.26.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 7ede8da4cad1e9db3078ce8ec2200ac61a2aad8e61e4910c525453424dc6af53
MD5 6574fdda2f186dd2512e5610fa8002f2
BLAKE2b-256 a745e10a24fb4de03a7b13b3d185dde66cb0ac52a5cc509db06ffb6284df8044

See more details on using hashes here.

File details

Details for the file numpy_quaternion-2021.11.4.15.26.3-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for numpy_quaternion-2021.11.4.15.26.3-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 c3bb5269abaa6fa42ea13f9ad1cb9a09baff54529f72f1cdf2aca8994e95407c
MD5 b29f46c6050c33d03dda788eb749f137
BLAKE2b-256 22b208de4c861bfca03908706ee9877d325690efe174303184b5cc7658834150

See more details on using hashes here.

File details

Details for the file numpy_quaternion-2021.11.4.15.26.3-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl.

File metadata

File hashes

Hashes for numpy_quaternion-2021.11.4.15.26.3-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl
Algorithm Hash digest
SHA256 25788963d867e7d6559549f3a7ef1c1b7bd2f9c0b6ba2a94682a13a9544e528e
MD5 c8bd3f7657a16624a501e36967d92e04
BLAKE2b-256 eb18873392e33704965ba1972632fcf37f990661b532266981b350e1f5d66ccc

See more details on using hashes here.

File details

Details for the file numpy_quaternion-2021.11.4.15.26.3-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for numpy_quaternion-2021.11.4.15.26.3-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 7f37d6ac5af60c5bd411b1a7c24b37c76ab31ba089884f43e43a4ba8e860dce2
MD5 ab95444c9fa1935add69134cfa3daaf9
BLAKE2b-256 6aa21d211e5ccdeb8dceb44d7ef5064c3d673c313b97118575cce0bb763cb146

See more details on using hashes here.

File details

Details for the file numpy_quaternion-2021.11.4.15.26.3-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for numpy_quaternion-2021.11.4.15.26.3-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 89c641a309e9f281647b6182da6539b4803085e97b8037f72bdc7a70fbfd21a2
MD5 7f1220062f4c78af780f0bdd62e05733
BLAKE2b-256 da55d5e0db9cc8a91c6fbd5b21a63f71df386c984a8e1884070043ea8301953c

See more details on using hashes here.

File details

Details for the file numpy_quaternion-2021.11.4.15.26.3-cp38-cp38-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for numpy_quaternion-2021.11.4.15.26.3-cp38-cp38-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 1af730383df3e9ef420ac1d12ed434eb46b306bd35098766252d794b4a4d209c
MD5 1631051cb65fbe284ad28535506c528a
BLAKE2b-256 a6b8246791115cd7e628753236ee30bddad21db03426852d01183ab2f3faca83

See more details on using hashes here.

File details

Details for the file numpy_quaternion-2021.11.4.15.26.3-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: numpy_quaternion-2021.11.4.15.26.3-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 62.0 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for numpy_quaternion-2021.11.4.15.26.3-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 1916b64a07ff20ca27625d65d3acabb6fc0aebb462881002fe1c6f1265aae8fd
MD5 b843fcc55eecdc8c752b1a053d012b14
BLAKE2b-256 6f99651d62c2fedf840c3ff90fc5b7d90327de3ab12d2d9092c8ec7f011967cc

See more details on using hashes here.

File details

Details for the file numpy_quaternion-2021.11.4.15.26.3-cp37-cp37m-win32.whl.

File metadata

  • Download URL: numpy_quaternion-2021.11.4.15.26.3-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 57.8 kB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for numpy_quaternion-2021.11.4.15.26.3-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 54a02b56ffd1acfa9d14853b569c9767c0ab76dc3f671e35c5c6b45a6f978251
MD5 0889e0773f2be9120aaf68dab6d04bfc
BLAKE2b-256 aa1f83b38cd4d7cf21939b887029d33a8fdb9bdce0e9dc63b7e9978e64e3e6d0

See more details on using hashes here.

File details

Details for the file numpy_quaternion-2021.11.4.15.26.3-cp37-cp37m-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for numpy_quaternion-2021.11.4.15.26.3-cp37-cp37m-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 1d7716f886924f270db0556c94fd45b9bccad6081459a1ad7089fc1b6721827f
MD5 d97bc4c5e63f8985f7e34a3fc144430e
BLAKE2b-256 9678ab802d87cecc6a1db40e8d27daa6e31d968cd7d0dd4a416565d43739cf4e

See more details on using hashes here.

File details

Details for the file numpy_quaternion-2021.11.4.15.26.3-cp37-cp37m-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for numpy_quaternion-2021.11.4.15.26.3-cp37-cp37m-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 0de4b405b2b3a658cd2f84c4e82f63c3cbab6e51f895037826a8f0a2dbc0c73b
MD5 662d5efc22e0b9638fc9ba29dff9e85a
BLAKE2b-256 333d04de526fc3a8082b9219d3bfd7d23685c0ed935ca03c75775f013ed09ba5

See more details on using hashes here.

File details

Details for the file numpy_quaternion-2021.11.4.15.26.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for numpy_quaternion-2021.11.4.15.26.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 a75f5afab0bfecabcae78052ad49aacb1f84c291afa77c667dd08fa3aa28587a
MD5 747d8549610ce43b0082006fade8e1e7
BLAKE2b-256 8901888505b995c52d9b690baaa69c12f4df5637a02ac47b0ef38c8e3d673e06

See more details on using hashes here.

File details

Details for the file numpy_quaternion-2021.11.4.15.26.3-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for numpy_quaternion-2021.11.4.15.26.3-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 c71ab9b50a7eac660081fe89e771c9908f6896f989c3310dd389726167c2ee10
MD5 d677dc486942b11ea949132a481569b4
BLAKE2b-256 de36cdeaf5460d47bbab538757dd47ef2c821510aaab99754bc7fdbd59942f51

See more details on using hashes here.

File details

Details for the file numpy_quaternion-2021.11.4.15.26.3-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl.

File metadata

File hashes

Hashes for numpy_quaternion-2021.11.4.15.26.3-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl
Algorithm Hash digest
SHA256 3432877212a0825c0bc5d03e83e9647ce9c7dd9a28472ad4b3903034e9bd26ee
MD5 46a0cb7a7f937a1eceb9be2eec70c149
BLAKE2b-256 d9a98dcb66532771508560ecbcfdd4ab80e3e47900b4233e903811ad72e88a13

See more details on using hashes here.

File details

Details for the file numpy_quaternion-2021.11.4.15.26.3-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for numpy_quaternion-2021.11.4.15.26.3-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 1c664671abd5bfa3ced169d8a75c0b9f834215fa522e48b22a16814b514f8e49
MD5 2ec54e957b069d4c76a1de253a66edc1
BLAKE2b-256 04367f23f21fd47993d05ad5100b00d369c2a5f10b2a8c04e61fb0081fcf63f3

See more details on using hashes here.

File details

Details for the file numpy_quaternion-2021.11.4.15.26.3-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: numpy_quaternion-2021.11.4.15.26.3-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 62.0 kB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for numpy_quaternion-2021.11.4.15.26.3-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 3d5d468a7cddcd35dc0e02bf5c4e9df4ec71b669deecd9103bc1c8c45ba21c3f
MD5 d262c2e99269c7b927db132cebf748b8
BLAKE2b-256 de76bf86a52de38f6d4a757e2a62cd89a9fe14fe4f32c5853222e6a6c7bee89e

See more details on using hashes here.

File details

Details for the file numpy_quaternion-2021.11.4.15.26.3-cp36-cp36m-win32.whl.

File metadata

  • Download URL: numpy_quaternion-2021.11.4.15.26.3-cp36-cp36m-win32.whl
  • Upload date:
  • Size: 57.8 kB
  • Tags: CPython 3.6m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.5.0 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for numpy_quaternion-2021.11.4.15.26.3-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 d3dd473e1c7e46baeaa7d9e8e23ebc903ae214b11b705b6e971a9618a03df82b
MD5 451d54c79d6b8f0c9e61b589745c4a6c
BLAKE2b-256 2aa67573f0586c8438879f98aefd2fa81f9b7026577db301e649116c5f5cd551

See more details on using hashes here.

File details

Details for the file numpy_quaternion-2021.11.4.15.26.3-cp36-cp36m-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for numpy_quaternion-2021.11.4.15.26.3-cp36-cp36m-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 5f15e93f59d130f433b9b83d1c069c481564853280e8197f434d461d30e93de8
MD5 2e33613b28a05733c5495de236f7438b
BLAKE2b-256 1e050fbc7124c049d420220800624fa6d220c60c355b53d79f9152cb384a294d

See more details on using hashes here.

File details

Details for the file numpy_quaternion-2021.11.4.15.26.3-cp36-cp36m-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for numpy_quaternion-2021.11.4.15.26.3-cp36-cp36m-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 b926a4e201b370e3b3a48355d64b2919ef4916c7c01d0ec88681d69887e6f6fa
MD5 0ed4d15c914045deb2c84141d83b7872
BLAKE2b-256 791bda8464bf4258c1b572c9cd69a2dba7b54eb6e30208b2be06624b81d33b3b

See more details on using hashes here.

File details

Details for the file numpy_quaternion-2021.11.4.15.26.3-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for numpy_quaternion-2021.11.4.15.26.3-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 8385743bbddc5c116f3084895a90813968d2dbe5a0432ec1bac226f8eb981e1a
MD5 0763bef6beaa5cb478876222f07f7a53
BLAKE2b-256 969419cf1357602c62f25184b2f21a29c78479630f921110daa3b4b259ae0448

See more details on using hashes here.

File details

Details for the file numpy_quaternion-2021.11.4.15.26.3-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for numpy_quaternion-2021.11.4.15.26.3-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 e7bc75eb4fb8c1f280f2bfb8e3992e7dfda3cc46377c4c24eae7f167ee62deae
MD5 fcdb859b17db4ab9a66de44ae917e1ef
BLAKE2b-256 11395cf3748bd90b2d81dd375d0030d233abb061e2715b2f5d6c892715f9b603

See more details on using hashes here.

File details

Details for the file numpy_quaternion-2021.11.4.15.26.3-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl.

File metadata

File hashes

Hashes for numpy_quaternion-2021.11.4.15.26.3-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl
Algorithm Hash digest
SHA256 b166a89f484447dff939e5d1a10864abd8900a3a04b6e335e0d85a895635c9b7
MD5 d0d90f71240e41ee8da80db9a418d86c
BLAKE2b-256 1f04200841a72ecfb0819cb4ea7febf6213915ed180109441b2b313e74a4aeba

See more details on using hashes here.

File details

Details for the file numpy_quaternion-2021.11.4.15.26.3-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for numpy_quaternion-2021.11.4.15.26.3-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 4d2f58e36e0027d3f4471de83151b71448cc5ec86d78a101af7b047dad8a6e14
MD5 c5f9eb894e138764fbfbe25c06f1bcff
BLAKE2b-256 76fd7d050ae5f85d09239c36100e781427577be278da2824acd7814a7a345523

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page