numpy-quaternion

Add built-in support for quaternions 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

2024.0.3

Oct 29, 2024

2024.0.2

Sep 30, 2024

2023.0.4

Jun 24, 2024

2023.0.3

Mar 12, 2024

2023.0.2

Dec 19, 2023

2023.0.1

Dec 19, 2023

2023.0.0

Dec 18, 2023

2022.4.4

Dec 1, 2023

2022.4.3

Feb 13, 2023

2022.4.2

Apr 28, 2022

2022.4.1

Apr 1, 2022

2022.3.1

Mar 31, 2022

2022.2.10.14.20.39

Feb 10, 2022

2022.2.9.19.55.57 yanked

Feb 10, 2022

Reason this release was yanked:

Bad dependencies

2021.11.4.15.26.3

Nov 4, 2021

2021.10.7.23.40.37

Oct 8, 2021

2021.8.30.10.33.11

Aug 30, 2021

2021.8.30.10.8.27

Aug 30, 2021

2021.8.26.15.40.13

Aug 26, 2021

2021.8.25.12.59.41

Aug 25, 2021

2021.7.28.16.11.54

Jul 28, 2021

2021.7.13.7.29.27

Jul 28, 2021

2021.6.9.13.34.11

Jun 9, 2021

2021.4.5.14.42.35

Apr 5, 2021

2021.4.4.21.44.8

Apr 5, 2021

2021.3.17.16.51.43

Mar 17, 2021

2021.3.17.16.10.20

Mar 17, 2021

2021.3.17.7.29.41

Mar 17, 2021

2021.3.11.10.32.22

Mar 11, 2021

2021.3.6.15.24.2

Mar 6, 2021

2021.0.0a0 pre-release

Aug 25, 2020

2020.11.2.17.0.49

Nov 2, 2020

2020.9.5.14.42.2

Sep 5, 2020

2020.9.2.20.23.42

Sep 3, 2020

2020.9.2.16.39.41

Sep 2, 2020

2020.7.30.15.57.32 yanked

Jul 30, 2020

Reason this release was yanked:

Failed tests

2020.5.19.15.27.24

May 19, 2020

2020.5.11.13.33.35

May 11, 2020

2020.5.1.9.54.41

May 1, 2020

2020.4.29.8.34.20

Apr 29, 2020

2020.4.24.9.29.7

Apr 24, 2020

2020.4.21.14.53.58

Apr 21, 2020

2019.12.11.22.25.52

Dec 12, 2019

2019.10.3.10.26.21

Oct 4, 2019

2019.9.30.17.47.33

Oct 1, 2019

2019.7.23.15.26.49

Jul 23, 2019

2019.7.15.12.50.36

Jul 15, 2019

2019.7.3.22.46.7

Jul 4, 2019

2019.6.26.15.8.24

Jun 26, 2019

2019.6.26.13.52.49

Jun 26, 2019

2019.6.26.13.19.17

Jun 26, 2019

2019.6.26.0.0.13

Jun 26, 2019

2019.6.25.23.51.47

Jun 26, 2019

2019.6.25.23.8.37

Jun 26, 2019

2019.6.25.22.33.21

Jun 26, 2019

2019.6.11.17.26.3

Jun 11, 2019

2019.6.11.17.4.37

Jun 11, 2019

2019.5.24.16.21.1

May 24, 2019

2019.5.24.11.54.47

May 24, 2019

2019.3.21.14.22.55

Mar 21, 2019

2019.3.21.14.12.56

Mar 21, 2019

2019.3.21.13.27.35

Mar 21, 2019

2019.3.21.13.18.24

Mar 21, 2019

2019.3.20.15.5.52

Mar 20, 2019

2019.3.18.14.33.20

Mar 18, 2019

2018.12.24.11.8.55

Dec 23, 2018

2018.11.28.14.6.55

Dec 23, 2018

2018.11.6.10.44.9

Nov 6, 2018

This version

2018.11.3.1.0.41

Nov 3, 2018

2018.10.1.22.5.32

Oct 2, 2018

2018.10.1.21.10.14

Oct 1, 2018

2018.10.1.21.9.15

Oct 1, 2018

2018.10.1.21.7.41

Oct 1, 2018

2018.10.1.20.37.16

Oct 1, 2018

2018.10.1.20.36.5

Oct 1, 2018

2018.10.1.20.33.23

Oct 1, 2018

2018.10.1.20.3.3

Oct 1, 2018

2018.10.1.20.1.54

Oct 1, 2018

2018.10.1.20.0.24

Oct 1, 2018

2018.10.1.19.38.42

Oct 1, 2018

2018.10.1.19.37.47

Oct 1, 2018

2018.10.1.19.36.0

Oct 1, 2018

2018.10.1.19.24.0

Oct 1, 2018

2018.10.1.19.22.42

Oct 1, 2018

2018.10.1.19.21.23

Oct 1, 2018

2018.10.1.19.4.38

Oct 1, 2018

2018.10.1.19.3.34

Oct 1, 2018

2018.10.1.19.2.10

Oct 1, 2018

2018.10.1.18.56.16

Oct 1, 2018

2018.10.1.18.55.10

Oct 1, 2018

2018.10.1.18.54.1

Oct 1, 2018

2018.10.1.17.6.20

Oct 1, 2018

2018.10.1.16.30.46

Oct 1, 2018

2018.10.1.15.59.11

Oct 1, 2018

2018.10.1.15.39.8

Oct 1, 2018

2018.10.1.15.34.19

Oct 1, 2018

2018.10.1.15.18.24

Oct 1, 2018

2018.10.1.15.1.2

Oct 1, 2018

2018.9.30.23.2.27

Oct 1, 2018

2018.9.30.22.24.11

Oct 1, 2018

2018.9.30.22.1.29

Oct 1, 2018

2018.8.13.16.17.9

Aug 13, 2018

2018.7.5.21.55.13

Jul 6, 2018

2018.7.5.15.18.26

Jul 5, 2018

2018.7.4.22.45.56

Jul 5, 2018

2018.6.18.16.33.12

Jun 18, 2018

2018.6.13.15.29.2

Jun 18, 2018

2018.5.31.16.8.42

May 31, 2018

2018.5.31.15.38.2

May 31, 2018

2018.5.31.13.56.17

May 31, 2018

2018.5.17.10.19.59

May 17, 2018

2018.5.17.10.9.55

May 17, 2018

2018.5.16.9.16.21

May 16, 2018

2018.5.10.13.50.12

May 10, 2018

2018.5.9.21.48.54

May 10, 2018

2018.5.9.20.48.6

May 10, 2018

2018.5.9.17.41.0

May 9, 2018

2018.5.9.17.32.22

May 9, 2018

2018.5.9.12.22.4

May 9, 2018

2018.5.2.21.39.8

May 3, 2018

2018.4.26.9.35.2

Apr 26, 2018

2018.4.18.16.18.52

Apr 18, 2018

2018.4.18.16.15.4

Apr 18, 2018

2018.4.16.17.4.9

Apr 17, 2018

2018.03.06.20.03.47

Mar 7, 2018

2018.03.02.09.28.43

Mar 2, 2018

2018.02.24.23.05.39

Feb 25, 2018

2018.02.22.22.24.39

Feb 23, 2018

2018.02.21.15.41.17

Feb 21, 2018

2017.11.26.19.00.13

Nov 27, 2017

2017.11.26.19.0.13

Nov 27, 2017

2017.10.20.10.41.30

Nov 26, 2017

2017.10.19.15.47.40

Oct 19, 2017

2017.10.14.11.13.13.dev206252663 pre-release

Oct 14, 2017

2017.10.14.11.11.56

Oct 16, 2017

2017.10.04.16.20.25.dev180388366 pre-release

Oct 4, 2017

2017.10.04.13.50.36.dev52395737 pre-release

Oct 4, 2017

2017.07.13.12.10.29.dev114912538 pre-release

Jul 13, 2017

2017.07.13.12.09.11.dev31661272 pre-release

Jul 13, 2017

2017.06.28.13.11.35.dev177226304 pre-release

Jun 28, 2017

2017.06.09.12.19.46.dev119623821 pre-release

Jun 9, 2017

2017.06.05.21.19.52.dev20097538 pre-release

Jun 6, 2017

2017.06.05.21.14.57.dev19253288 pre-release

Jun 6, 2017

2017.06.02.13.32.11.dev17910925 pre-release

Jun 6, 2017

2017.05.24.14.05.54.dev33077846 pre-release

May 24, 2017

2017.05.23.14.39.48.dev53804477 pre-release

May 23, 2017

2017.05.08.13.59.46.dev255649235 pre-release

May 8, 2017

2017.04.05.14.49.15.dev261789573 pre-release

Apr 5, 2017

2017.03.29.15.26.47.dev5411921 pre-release

Mar 29, 2017

2017.03.16.21.51.57.dev242408302 pre-release

Mar 17, 2017

2017.03.14.01.52.59.dev139985168 pre-release

Mar 14, 2017

2017.03.13.14.50.58.dev88917002 pre-release

Mar 13, 2017

2017.03.13.14.42.16.dev259768242 pre-release

Mar 13, 2017

2017.03.13.12.04.42.dev87917346 pre-release

Mar 13, 2017

2017.03.10.04.36.28.dev170668370 pre-release

Mar 10, 2017

2017.03.02.17.14.39.dev234032961 pre-release

Mar 2, 2017

2017.03.01.14.16.51.dev141622364 pre-release

Mar 1, 2017

2017.02.28.dev244535353 pre-release

Mar 1, 2017

2017.02.28.dev21024698 pre-release

Mar 1, 2017

2017.01.08.dev232822920 pre-release

Jan 8, 2017

2016.11.30.dev220855819 pre-release

Nov 30, 2016

2016.11.30.dev101697805 pre-release

Nov 30, 2016

2016.11.30.dev51027772 pre-release

Nov 30, 2016

2016.11.30.dev43897183 pre-release

Nov 30, 2016

2016.10.31.dev83815479 pre-release

Oct 31, 2016

2016.10.12.dev268044850 pre-release

Oct 12, 2016

2016.10.12.dev209377407 pre-release

Oct 12, 2016

2016.08.30.dev142425726 pre-release

Aug 30, 2016

2016.08.30.dev40560191 pre-release

Aug 30, 2016

2016.08.29.dev258356679 pre-release

Aug 29, 2016

2016.08.29.dev231774547 pre-release

Aug 29, 2016

2016.08.27.dev94615536 pre-release

Aug 27, 2016

2016.08.25.dev221305696 pre-release

Aug 25, 2016

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-2018.11.3.1.0.41.tar.gz (45.6 kB view hashes)

Uploaded Nov 3, 2018 Source

Built Distributions

numpy_quaternion-2018.11.3.1.0.41-cp37-cp37m-win_amd64.whl (55.7 kB view hashes)

Uploaded Nov 3, 2018 CPython 3.7m Windows x86-64

numpy_quaternion-2018.11.3.1.0.41-cp37-cp37m-macosx_10_7_x86_64.whl (55.5 kB view hashes)

Uploaded Nov 3, 2018 CPython 3.7m macOS 10.7+ x86-64

numpy_quaternion-2018.11.3.1.0.41-cp36-cp36m-win_amd64.whl (55.7 kB view hashes)

Uploaded Nov 3, 2018 CPython 3.6m Windows x86-64

numpy_quaternion-2018.11.3.1.0.41-cp36-cp36m-macosx_10_7_x86_64.whl (55.4 kB view hashes)

Uploaded Nov 3, 2018 CPython 3.6m macOS 10.7+ x86-64

numpy_quaternion-2018.11.3.1.0.41-cp35-cp35m-win_amd64.whl (55.7 kB view hashes)

Uploaded Nov 3, 2018 CPython 3.5m Windows x86-64

numpy_quaternion-2018.11.3.1.0.41-cp35-cp35m-macosx_10_6_x86_64.whl (55.5 kB view hashes)

Uploaded Nov 3, 2018 CPython 3.5m macOS 10.6+ x86-64

numpy_quaternion-2018.11.3.1.0.41-cp27-cp27m-win_amd64.whl (49.9 kB view hashes)

Uploaded Nov 3, 2018 CPython 2.7m Windows x86-64

numpy_quaternion-2018.11.3.1.0.41-cp27-cp27m-macosx_10_6_x86_64.whl (55.3 kB view hashes)

Uploaded Nov 3, 2018 CPython 2.7m macOS 10.6+ x86-64

Hashes for numpy-quaternion-2018.11.3.1.0.41.tar.gz

Hashes for numpy-quaternion-2018.11.3.1.0.41.tar.gz
Algorithm	Hash digest
SHA256	`48f11507849c429cc78e30d906ea2adbc3359b46254c94c5a899aa7e6a4d7b38`
MD5	`0a16d3ec42e825497e9fdbdf49bf9baa`
BLAKE2b-256	`3c5de58d67cd579061aa2c392dfeef510ba35b89d208d8ec689b0b0438c3632c`

Hashes for numpy_quaternion-2018.11.3.1.0.41-cp37-cp37m-win_amd64.whl

Hashes for numpy_quaternion-2018.11.3.1.0.41-cp37-cp37m-win_amd64.whl
Algorithm	Hash digest
SHA256	`fd71817096dc5dd2b2a03f50bd4d0cbcb96211bb5c51b7ba40e71ba6174e2a64`
MD5	`5024b1de541789d9d9a803e8ef69b2de`
BLAKE2b-256	`843f3456dd543e33cbad0c51ea73cea875c75b8eb2460f73c9339df67685c3d5`

Hashes for numpy_quaternion-2018.11.3.1.0.41-cp37-cp37m-macosx_10_7_x86_64.whl

Hashes for numpy_quaternion-2018.11.3.1.0.41-cp37-cp37m-macosx_10_7_x86_64.whl
Algorithm	Hash digest
SHA256	`e165fc4db83c906b71662d3b6fca487356225db8add662f0933ae62ef347e2cb`
MD5	`8a18e50baee1fe780243b53524334c05`
BLAKE2b-256	`be25108a911e338778d6b6d5fdbd3f001a169d4a631030e624b7b6fbbd70d038`

Hashes for numpy_quaternion-2018.11.3.1.0.41-cp36-cp36m-win_amd64.whl

Hashes for numpy_quaternion-2018.11.3.1.0.41-cp36-cp36m-win_amd64.whl
Algorithm	Hash digest
SHA256	`e90106d2c7c3b2c282ca89852784974531316989a4b4fa49ec5fe0528cb41fc5`
MD5	`71f2fa34194e4e0efa608c51ceb40788`
BLAKE2b-256	`23e35a475c1d6a75b80562015c3c3940b890900b31bd882c078343fc9ca46928`

Hashes for numpy_quaternion-2018.11.3.1.0.41-cp36-cp36m-macosx_10_7_x86_64.whl

Hashes for numpy_quaternion-2018.11.3.1.0.41-cp36-cp36m-macosx_10_7_x86_64.whl
Algorithm	Hash digest
SHA256	`aa85be9515f736ad64b2f31b8f14ef7efb22a9799eeb0e991f48be038772f364`
MD5	`ffa8672f0cfc370441c8c866848c5d3a`
BLAKE2b-256	`1f91e84dbce9b7dc1b938f468fc258d2dc36e400ccf978b7a57a6ad062672e6f`

Hashes for numpy_quaternion-2018.11.3.1.0.41-cp35-cp35m-win_amd64.whl

Hashes for numpy_quaternion-2018.11.3.1.0.41-cp35-cp35m-win_amd64.whl
Algorithm	Hash digest
SHA256	`3dbb64e3ef1b1e57c880ae1fb63d44db4f24aa494366ee50ae51d1ea012f7c2f`
MD5	`20459f78d5ae66f8a34673531829a44d`
BLAKE2b-256	`9197d2ed6e81be9297695e56096f250ff609bee8c4f182810f5ae0f329f4c564`

Hashes for numpy_quaternion-2018.11.3.1.0.41-cp35-cp35m-macosx_10_6_x86_64.whl

Hashes for numpy_quaternion-2018.11.3.1.0.41-cp35-cp35m-macosx_10_6_x86_64.whl
Algorithm	Hash digest
SHA256	`0341a4080efd1312a8a760f38b66cfd7adfa72788df72fe6547bb5561337bd45`
MD5	`a868bb80f7d5d6f48bd2ec4313dcb7a0`
BLAKE2b-256	`37b13d9ed167fea1ffba44037549ba17af7c10ba79a04981e1f077240cf1bc9e`

Hashes for numpy_quaternion-2018.11.3.1.0.41-cp27-cp27m-win_amd64.whl

Hashes for numpy_quaternion-2018.11.3.1.0.41-cp27-cp27m-win_amd64.whl
Algorithm	Hash digest
SHA256	`ed625c2b64062542b6a7004427caddf6d65abbfb3c44163ceb83b0b7ebba4407`
MD5	`8f4b0224fe71f3138a933dcc9171fa65`
BLAKE2b-256	`b602c933544eb3b0246d3da8fd84681abe0824553f12368ecd9b7128db209bf6`

Hashes for numpy_quaternion-2018.11.3.1.0.41-cp27-cp27m-macosx_10_6_x86_64.whl

Hashes for numpy_quaternion-2018.11.3.1.0.41-cp27-cp27m-macosx_10_6_x86_64.whl
Algorithm	Hash digest
SHA256	`0ab86cca157beb36d46804b0cee601bd0a0993e8023bd0ad7931689ac81a3c1f`
MD5	`46988a0f138a6258518c059fb3e346d5`
BLAKE2b-256	`705fa5e13f64bd8bd76ba1d4cbb00a82b45db87e3cde0e9891abd965269c41a3`