MOCPy

MOC parsing and manipulation in Python

Development Status
- 4 - Beta
License
- OSI Approved :: BSD License
Programming Language
- Python
Topic
- Scientific/Engineering :: Astronomy

Project description

MOCPy is a Python library allowing easy creation and manipulation of MOCs (Multi-Order Coverage maps). MOC is an IVOA standard enabling description of arbitrary sky regions. Based on the HEALPix sky tessellation, it maps regions on the sky into hierarchically grouped predefined cells. An experimental support for TMOC (temporal MOC) has been added since version 0.4.0. It allows creation, parsing and comparison of TMOCs.

Space & Time coverages (STMOC) are an extension of MOC to add time information. It is possible to get a TMOC by querying a STMOC with a MOC and/or get a MOC by querying a STMOC with a TMOC.

Please check the mocpy’s documentation by following this link: https://cds-astro.github.io/mocpy/

Project details

Development Status
- 4 - Beta
License
- OSI Approved :: BSD License
Programming Language
- Python
Topic
- Scientific/Engineering :: Astronomy

Release history Release notifications | RSS feed

This version

0.8.4

Jul 10, 2020

0.8.3

Jun 4, 2020

0.8.2

Feb 21, 2020

0.8.1

Feb 17, 2020

0.8.0

Feb 13, 2020

0.7.4

Oct 4, 2019

0.7.3

Oct 2, 2019

0.7.2

Sep 17, 2019

0.7.1

Sep 9, 2019

0.7.0

Aug 7, 2019

0.6.1

Jun 14, 2019

0.6.0

Jun 13, 2019

0.5.7

May 24, 2019

0.5.6

Apr 11, 2019

0.5.5

Feb 13, 2019

0.5.4

Feb 7, 2019

0.5.3

Jan 30, 2019

0.5.2

Jan 28, 2019

0.5.1

Jan 25, 2019

0.5.0

Jan 16, 2019

0.4.9

Jul 16, 2018

0.4.8

Jul 16, 2018

0.4.7

Jul 4, 2018

0.4.6

Jul 2, 2018

0.4.5

Jun 26, 2018

0.4.4

May 30, 2018

0.4.3

May 25, 2018

0.4.2

May 22, 2018

0.4.1

May 18, 2018

0.4.0

May 18, 2018

0.3.6

Dec 12, 2017

0.3.5

Nov 18, 2016

0.3.4

Nov 18, 2016

0.3.3

Nov 18, 2016

0.3.2

Nov 18, 2016

0.3.1

Nov 18, 2016

0.2.9

May 19, 2016

0.2.8

May 19, 2016

0.2.7

Apr 26, 2016

0.2.5

Mar 30, 2016

0.2.2

Jan 11, 2016

0.2.1

Jan 11, 2016

0.2.0

Jan 11, 2016

0.1.81

Nov 30, 2015

0.1.9

Jan 11, 2016

0.1.8

Nov 30, 2015

0.1.7

Jun 11, 2015

0.1.6

Jun 11, 2015

0.1.4

May 29, 2015

0.1.3

May 29, 2015

0.1.2

May 28, 2015

0.1.1

May 28, 2015

0.1.1a pre-release

May 28, 2015

0.1.0

May 28, 2015

0.1.0.dev pre-release

May 28, 2015

Download files

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

Files for MOCPy, version 0.8.4
Filename, size	File type	Python version	Upload date	Hashes
Filename, size MOCPy-0.8.4-cp35-cp35m-macosx_10_13_intel.whl (439.2 kB)	File type Wheel	Python version cp35	Upload date Jul 10, 2020	Hashes View
Filename, size MOCPy-0.8.4-cp35-cp35m-manylinux1_i686.whl (1.1 MB)	File type Wheel	Python version cp35	Upload date Jul 10, 2020	Hashes View
Filename, size MOCPy-0.8.4-cp35-cp35m-manylinux1_x86_64.whl (1.1 MB)	File type Wheel	Python version cp35	Upload date Jul 10, 2020	Hashes View
Filename, size MOCPy-0.8.4-cp35-cp35m-manylinux2010_i686.whl (1.1 MB)	File type Wheel	Python version cp35	Upload date Jul 10, 2020	Hashes View
Filename, size MOCPy-0.8.4-cp35-cp35m-manylinux2010_x86_64.whl (1.1 MB)	File type Wheel	Python version cp35	Upload date Jul 10, 2020	Hashes View
Filename, size MOCPy-0.8.4-cp35-cp35m-win32.whl (345.0 kB)	File type Wheel	Python version cp35	Upload date Jul 10, 2020	Hashes View
Filename, size MOCPy-0.8.4-cp35-cp35m-win_amd64.whl (376.6 kB)	File type Wheel	Python version cp35	Upload date Jul 10, 2020	Hashes View
Filename, size MOCPy-0.8.4-cp36-cp36m-macosx_10_13_intel.whl (439.1 kB)	File type Wheel	Python version cp36	Upload date Jul 10, 2020	Hashes View
Filename, size MOCPy-0.8.4-cp36-cp36m-manylinux1_i686.whl (1.1 MB)	File type Wheel	Python version cp36	Upload date Jul 10, 2020	Hashes View
Filename, size MOCPy-0.8.4-cp36-cp36m-manylinux1_x86_64.whl (1.1 MB)	File type Wheel	Python version cp36	Upload date Jul 10, 2020	Hashes View
Filename, size MOCPy-0.8.4-cp36-cp36m-manylinux2010_i686.whl (1.1 MB)	File type Wheel	Python version cp36	Upload date Jul 10, 2020	Hashes View
Filename, size MOCPy-0.8.4-cp36-cp36m-manylinux2010_x86_64.whl (1.1 MB)	File type Wheel	Python version cp36	Upload date Jul 10, 2020	Hashes View
Filename, size MOCPy-0.8.4-cp36-cp36m-win32.whl (344.8 kB)	File type Wheel	Python version cp36	Upload date Jul 10, 2020	Hashes View
Filename, size MOCPy-0.8.4-cp36-cp36m-win_amd64.whl (376.6 kB)	File type Wheel	Python version cp36	Upload date Jul 10, 2020	Hashes View
Filename, size MOCPy-0.8.4-cp37-cp37m-macosx_10_13_intel.whl (438.8 kB)	File type Wheel	Python version cp37	Upload date Jul 10, 2020	Hashes View
Filename, size MOCPy-0.8.4-cp37-cp37m-manylinux1_i686.whl (1.1 MB)	File type Wheel	Python version cp37	Upload date Jul 10, 2020	Hashes View
Filename, size MOCPy-0.8.4-cp37-cp37m-manylinux1_x86_64.whl (1.1 MB)	File type Wheel	Python version cp37	Upload date Jul 10, 2020	Hashes View
Filename, size MOCPy-0.8.4-cp37-cp37m-manylinux2010_i686.whl (1.1 MB)	File type Wheel	Python version cp37	Upload date Jul 10, 2020	Hashes View
Filename, size MOCPy-0.8.4-cp37-cp37m-manylinux2010_x86_64.whl (1.1 MB)	File type Wheel	Python version cp37	Upload date Jul 10, 2020	Hashes View
Filename, size MOCPy-0.8.4-cp37-cp37m-win32.whl (344.5 kB)	File type Wheel	Python version cp37	Upload date Jul 10, 2020	Hashes View
Filename, size MOCPy-0.8.4-cp37-cp37m-win_amd64.whl (376.5 kB)	File type Wheel	Python version cp37	Upload date Jul 10, 2020	Hashes View
Filename, size MOCPy-0.8.4-cp38-cp38-macosx_10_13_x86_64.whl (438.8 kB)	File type Wheel	Python version cp38	Upload date Jul 10, 2020	Hashes View
Filename, size MOCPy-0.8.4-cp38-cp38-manylinux1_i686.whl (1.1 MB)	File type Wheel	Python version cp38	Upload date Jul 10, 2020	Hashes View
Filename, size MOCPy-0.8.4-cp38-cp38-manylinux1_x86_64.whl (1.1 MB)	File type Wheel	Python version cp38	Upload date Jul 10, 2020	Hashes View
Filename, size MOCPy-0.8.4-cp38-cp38-manylinux2010_i686.whl (1.1 MB)	File type Wheel	Python version cp38	Upload date Jul 10, 2020	Hashes View
Filename, size MOCPy-0.8.4-cp38-cp38-manylinux2010_x86_64.whl (1.1 MB)	File type Wheel	Python version cp38	Upload date Jul 10, 2020	Hashes View
Filename, size MOCPy-0.8.4-pp36-pypy36_pp73-manylinux1_x86_64.whl (1.1 MB)	File type Wheel	Python version pp36	Upload date Jul 10, 2020	Hashes View
Filename, size MOCPy-0.8.4-pp36-pypy36_pp73-manylinux2010_x86_64.whl (1.1 MB)	File type Wheel	Python version pp36	Upload date Jul 10, 2020	Hashes View

Hashes for MOCPy-0.8.4-cp35-cp35m-macosx_10_13_intel.whl

Hashes for MOCPy-0.8.4-cp35-cp35m-macosx_10_13_intel.whl
Algorithm	Hash digest
SHA256	`896613c34226543a170a5985d08810ab3af42ee1bacb9c5ca463f09b4a866687`
MD5	`58639b2b48d8389365390e90ea0fc33c`
BLAKE2-256	`23501fc06090e78a64d1d5c6a7d4cf16c3d9682f3e9344b2ab3320cf79ee8947`

Hashes for MOCPy-0.8.4-cp35-cp35m-manylinux1_i686.whl

Hashes for MOCPy-0.8.4-cp35-cp35m-manylinux1_i686.whl
Algorithm	Hash digest
SHA256	`db01bb6087fa5c9cd3a1c310ef01bf0c5f054c860b1b33e8ea6a47402a0d7086`
MD5	`e4a11dc9b3d51552c91cb5c891ba63e9`
BLAKE2-256	`54a54f8f84f2a1208b4dd7815a9ffbaadaea5df3d0d2663a4bce210b0adb77c3`

Hashes for MOCPy-0.8.4-cp35-cp35m-manylinux1_x86_64.whl

Hashes for MOCPy-0.8.4-cp35-cp35m-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`cc3187ba88a618ed49ed1a3b8a28b0644c7d59e0d943fec46c7dccbf5a05ef8e`
MD5	`c50b138d51c0943fd2e9fbea2bf8becd`
BLAKE2-256	`0953d55c855b27b8da3b3209ee720fb836430a7201c91696a72e67807fc912f5`

Hashes for MOCPy-0.8.4-cp35-cp35m-manylinux2010_i686.whl

Hashes for MOCPy-0.8.4-cp35-cp35m-manylinux2010_i686.whl
Algorithm	Hash digest
SHA256	`8a29d9717f67d4dcfdbfbf99853e8492f4a89c5df3ea763d5555f07974fd8051`
MD5	`d3644cb760478c87bbbb154e055cff27`
BLAKE2-256	`93a94887d628ad450718f0fc41daa445dff40a7796d43055ab75be4b28606aaf`

Hashes for MOCPy-0.8.4-cp35-cp35m-manylinux2010_x86_64.whl

Hashes for MOCPy-0.8.4-cp35-cp35m-manylinux2010_x86_64.whl
Algorithm	Hash digest
SHA256	`6e1fac77e0612359e0b97c2123ddaf3a2fde0e0b8e8edf7584512b5feb4d2193`
MD5	`1087cd606ee1163163c1dfc0c151805e`
BLAKE2-256	`a103d5e94feb0c644e3d2a7d1919de5f64852eb9f9a4504c2047105361457c3c`

Hashes for MOCPy-0.8.4-cp35-cp35m-win32.whl

Hashes for MOCPy-0.8.4-cp35-cp35m-win32.whl
Algorithm	Hash digest
SHA256	`28a4c5c790893e08f21f69daefda7515410432ff0694a9a473c7ff8e9b3f8277`
MD5	`dc25f0b8b16ab0c9386c474c4f18337b`
BLAKE2-256	`6964ca73e13708e0e125c26aa6b1c1d65a9b77509ac32dd9915a1d3587268f22`

Hashes for MOCPy-0.8.4-cp35-cp35m-win_amd64.whl

Hashes for MOCPy-0.8.4-cp35-cp35m-win_amd64.whl
Algorithm	Hash digest
SHA256	`256471f32db080f2c387951b7de27f4e56d90a5861158bf8875c73a042ab050a`
MD5	`a5c0663ae24fe5d5b273d7079a23ec05`
BLAKE2-256	`f36179ad17eaf0b8f2f07c49ec835e31b0335fd3a188eace1928cb214e4559a2`

Hashes for MOCPy-0.8.4-cp36-cp36m-macosx_10_13_intel.whl

Hashes for MOCPy-0.8.4-cp36-cp36m-macosx_10_13_intel.whl
Algorithm	Hash digest
SHA256	`f05a2f031a75e596b2aa1cc54340ad390e4f9cb6dca210c03d8b8498d16b75fb`
MD5	`031bc69aa4577d723e14220fa0b4f831`
BLAKE2-256	`b6d10fcb7997684a5447e68553054f689b5bd0bef85844c8abc9f53028d432e2`

Hashes for MOCPy-0.8.4-cp36-cp36m-manylinux1_i686.whl

Hashes for MOCPy-0.8.4-cp36-cp36m-manylinux1_i686.whl
Algorithm	Hash digest
SHA256	`c7f626e1597f194e1ce957c73b3ac45b33c78f4d0e5ac15a90ab2584e01d434c`
MD5	`54e36c5ff6986ab849f946f26b4523bc`
BLAKE2-256	`b06ad2633aa9e04d1292c29edccaa766157e0617c03b77cf03527f94b39d8a0e`

Hashes for MOCPy-0.8.4-cp36-cp36m-manylinux1_x86_64.whl

Hashes for MOCPy-0.8.4-cp36-cp36m-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`eac9719d74402e54984dd68bb08168a95041483251cc10c7c8f5b1a6f7166247`
MD5	`f899c67ade7b5dcc51d7335db3289152`
BLAKE2-256	`a47f785ce5cf0def6cfd95a2088500d6420a1650375805ce73b7873bcd5447b6`

Hashes for MOCPy-0.8.4-cp36-cp36m-manylinux2010_i686.whl

Hashes for MOCPy-0.8.4-cp36-cp36m-manylinux2010_i686.whl
Algorithm	Hash digest
SHA256	`7da7346f6f040af9f291f82cb0abd23aafeb83965c7cd84d477840ebd193fb01`
MD5	`d0f49db314a8bedd646387bb8e9974cf`
BLAKE2-256	`1ab3812734a410929b0776b46b0d378aa2c335a0c56a76b9ec28945468f27965`

Hashes for MOCPy-0.8.4-cp36-cp36m-manylinux2010_x86_64.whl

Hashes for MOCPy-0.8.4-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm	Hash digest
SHA256	`074c325542d5f0070e5fadb33ed22c8e60105263706d7b540a3abf43ad67ae44`
MD5	`5d40ba8beca7b6d8c56e8934148b97ab`
BLAKE2-256	`b090738e5c97a63461a2d12b58519fbe38cf274bca8ee7197d8d3367d7463351`

Hashes for MOCPy-0.8.4-cp36-cp36m-win32.whl

Hashes for MOCPy-0.8.4-cp36-cp36m-win32.whl
Algorithm	Hash digest
SHA256	`1f7aeb1b0827f97830b4c1edc514cde67bb065ee855ad18464c2872347495376`
MD5	`06e973b4fec1fd85f1edc874e23c2d2d`
BLAKE2-256	`5a6dbda4a36aa36f0e5a0647cd22a3bc06861b7a893c0ca35ea85f9a76be90e6`

Hashes for MOCPy-0.8.4-cp36-cp36m-win_amd64.whl

Hashes for MOCPy-0.8.4-cp36-cp36m-win_amd64.whl
Algorithm	Hash digest
SHA256	`5cecb7378749016a3e1d304127701dde051204f72ab61f4c33ee283311f847eb`
MD5	`bd38c2ee100cb38e5e2572935442be74`
BLAKE2-256	`bcfc1d604ddec41db81ad6219298d00cf930c27b52c850d8d20be299c9cdfdcb`

Hashes for MOCPy-0.8.4-cp37-cp37m-macosx_10_13_intel.whl

Hashes for MOCPy-0.8.4-cp37-cp37m-macosx_10_13_intel.whl
Algorithm	Hash digest
SHA256	`e393b2337ec8ec26b3532eafac5d75bb7f159ed3b7b3dbf8ac0af2f8bf746423`
MD5	`6405bb0ac0feb22cf9332b5720036a86`
BLAKE2-256	`c8ba5d92a04983c5e81557a5c67cc3ce552fc3354b9376f110c9d2ba128875ed`

Hashes for MOCPy-0.8.4-cp37-cp37m-manylinux1_i686.whl

Hashes for MOCPy-0.8.4-cp37-cp37m-manylinux1_i686.whl
Algorithm	Hash digest
SHA256	`0efb3b56f1fa2316007f8528ee8ac08199380618aaab5aefbcf9b0ede943977a`
MD5	`3ffede347bc31bffb67f29055292f4ab`
BLAKE2-256	`fc4a8479ce64ac7c02270c526184039d1a6c8e83a0ff821096a8bda52fe83dbb`

Hashes for MOCPy-0.8.4-cp37-cp37m-manylinux1_x86_64.whl

Hashes for MOCPy-0.8.4-cp37-cp37m-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`9d93498684d339ac900bd7df26e5bbbde9520787bfb970fbd6704c919d1e5a2a`
MD5	`bdf286c4e3c98511c312bcc4cf89d275`
BLAKE2-256	`32ae388e8cc46b768bd2ca45ec60f2483333e9ab6f5360ba19a5c0e4045b2c14`

Hashes for MOCPy-0.8.4-cp37-cp37m-manylinux2010_i686.whl

Hashes for MOCPy-0.8.4-cp37-cp37m-manylinux2010_i686.whl
Algorithm	Hash digest
SHA256	`5f7aa9a7342c46a80bde08824c247b035a294e9649fe134628c1a4f0c1bbf5b0`
MD5	`dece96afede18f4e05c8d74925e7a0c7`
BLAKE2-256	`97fadcb45fe39cb0f887f0ebe6827579f92d93dcc4ecb01fabc4d4926ab0bff1`

Hashes for MOCPy-0.8.4-cp37-cp37m-manylinux2010_x86_64.whl

Hashes for MOCPy-0.8.4-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm	Hash digest
SHA256	`81f4660ef11b60ae6ce265ec902ec333b51a49e686115744075ba0af5029228e`
MD5	`9cd0f0d8107f42982d32a3fb6426ef22`
BLAKE2-256	`390bc8f1c0e327b19149336d494edb0791721a2c96891ac906291f1405503c5f`

Hashes for MOCPy-0.8.4-cp37-cp37m-win32.whl

Hashes for MOCPy-0.8.4-cp37-cp37m-win32.whl
Algorithm	Hash digest
SHA256	`e0dcb981a64e471b8388f17106832f4b19022756bac9c46b0ca5cf92dc15cffd`
MD5	`6290d4c27f3693127d82d8e94236c7fd`
BLAKE2-256	`e6a05facc56f2ab26f8a95b5da9defa51634495d8222ecccb8748f0c1d1f39ad`

Hashes for MOCPy-0.8.4-cp37-cp37m-win_amd64.whl

Hashes for MOCPy-0.8.4-cp37-cp37m-win_amd64.whl
Algorithm	Hash digest
SHA256	`eace7aa97d65c647e3312271caa790c93a409776ba96b2877228a3568244e76a`
MD5	`32d726b3643213ed318b08e0712b9ffa`
BLAKE2-256	`ab952114cbe5cf5c77f78a49dfd53cd8f2d33c33fcd01bfd3cef74f35b9c44b7`

Hashes for MOCPy-0.8.4-cp38-cp38-macosx_10_13_x86_64.whl

Hashes for MOCPy-0.8.4-cp38-cp38-macosx_10_13_x86_64.whl
Algorithm	Hash digest
SHA256	`244e666678146d33ad3ecc9d05e8c400edaa1cf446e470acbde73020ededdf3b`
MD5	`720cba6dd50f1f3ecae53c2f34e7e4f2`
BLAKE2-256	`9bc9be952d99178d84b72783441f63085b3d612580697e22831fe0eb102676c6`

Hashes for MOCPy-0.8.4-cp38-cp38-manylinux1_i686.whl

Hashes for MOCPy-0.8.4-cp38-cp38-manylinux1_i686.whl
Algorithm	Hash digest
SHA256	`e2df78b34825f7c907b5af81352512941d9e82c74f192f902a1d7ad9db3d9cf1`
MD5	`52f925cf179ec7d1f83546bc43e4180a`
BLAKE2-256	`d274216106a3df45a6dbbeafb3ea2dadad0243081b717fd27331aa0dbf1356fe`

Hashes for MOCPy-0.8.4-cp38-cp38-manylinux1_x86_64.whl

Hashes for MOCPy-0.8.4-cp38-cp38-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`130e582e5df7b83f308fedd4ce6bc4fe43e6e964f3356bc447486b4aa8a07dc8`
MD5	`0341a9c872934198a0a0ed52fd08bb62`
BLAKE2-256	`57b5001dadd85147c9d4dd7b4c9ef99fe870a46721ebd0b801ac5aba0e46b493`

Hashes for MOCPy-0.8.4-cp38-cp38-manylinux2010_i686.whl

Hashes for MOCPy-0.8.4-cp38-cp38-manylinux2010_i686.whl
Algorithm	Hash digest
SHA256	`0aae056cc26f182ea722dd8b1cc8fb4659fcca34a5374bdaf056942aa7bbf335`
MD5	`32e5e6e9bfa2cf1d9fc9589526a3cdb6`
BLAKE2-256	`9f1e993e5800e78acbc8c596a5195196ed0341b7d28809efee91c8a95ae950e5`

Hashes for MOCPy-0.8.4-cp38-cp38-manylinux2010_x86_64.whl

Hashes for MOCPy-0.8.4-cp38-cp38-manylinux2010_x86_64.whl
Algorithm	Hash digest
SHA256	`4f59c04ed5ac5e845b4e6f8a3c365a8bff6e06877051ace6ca7a181fafe308b9`
MD5	`522724a49f12cadeccaff73b0ca74d7f`
BLAKE2-256	`6779ba217cd7827f63bc6a411629f81a69c6867d9bb4666a17388c509012f5d2`

Hashes for MOCPy-0.8.4-pp36-pypy36_pp73-manylinux1_x86_64.whl

Hashes for MOCPy-0.8.4-pp36-pypy36_pp73-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`b60b9638038c46bbee554d0d5398f3abbe7a1973db7bdf67da2e2b4db018ec6f`
MD5	`a718cd9f97e4a7c782cb4c1cfd7ee9a7`
BLAKE2-256	`f7ce73459410de127f485f64f7526c7ba09254147fc9afa25ef1747c5bf2c1b7`

Hashes for MOCPy-0.8.4-pp36-pypy36_pp73-manylinux2010_x86_64.whl

Hashes for MOCPy-0.8.4-pp36-pypy36_pp73-manylinux2010_x86_64.whl
Algorithm	Hash digest
SHA256	`e000f2bc1b8fb53d90fca481aff6dec784f6427b26c590a38c9a10d1458db580`
MD5	`58997cb7c06fa9bcecb962a12463663c`
BLAKE2-256	`f894e42fef345d0f9edd49a0606e3ad9490112293c41977f13cf79b178d666b2`