mocpy

MOC parsing and manipulation in Python

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Project links

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.

A support for TMOC (temporal MOC) has been added since version 0.4.0. It allows creation, parsing and comparison of TMOCs. The support for Frequency MOCs has been added since version 0.13.0

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 for more details about installing MOCPy and using it.

For a command line tool, see the moc-cli.

For more information about the MOCPy Rust core, see the moc crate.

a moc plotted with mocpy — *Rendered with MOCpy!*

Installation

We strongly recommend to work in an environnement

Latest stable version

from pip pip install mocpy
from conda conda install -c conda-forge mocpy
from this repository

Unreleased latest version

To install mocpy from this repository, make sure you have Python (https://www.python.org/downloads/) and Rust (https://www.rust-lang.org/tools/install) on your machine. Then, run

pip install git+https://github.com/cds-astro/mocpy.git

To run the notebooks

The example notebooks require additional dependencies. They can be installed with

pip install mocpy[notebooks]

For use in pyodide

Wheels that run in pyodide can be downloaded from this repository assets. This is not fully tested.

Project details

These details have not been verified by PyPI

Project links

Release history Release notifications | RSS feed

This version

0.17.0

Oct 17, 2024

0.16.2

Jul 26, 2024

0.16.1

Jul 18, 2024

0.16.0

Jul 16, 2024

0.15.0

Jun 26, 2024

0.14.0

Jun 3, 2024

0.13.1

Dec 4, 2023

0.13.0

Aug 29, 2023

0.12.3

Mar 6, 2023

0.12.2

Mar 2, 2023

0.12.1

Feb 28, 2023

0.12.0

Feb 13, 2023

0.11.0

Feb 4, 2022

0.10.0

Nov 16, 2021

0.9.0

Oct 19, 2021

0.8.5

Mar 18, 2021

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

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SHA256	`01a3e6f4890210b33dcc4435240a6539fd29aaa1e4eda7e13fb587f580b77879`
MD5	`fa892eb297ab6970b4c81183a3c817bd`
BLAKE2b-256	`f0f6fc1fea13bce58a4ba4bbb498b5f1f3c5fd287ed02dd44453b88274b1d484`

Algorithm	Hash digest
SHA256	`31141cd7a6083a9b730a14f958ef1c00e24b41f8ebbecfbed0aff1baaff2d35e`
MD5	`394d00ab7f89fc1d7279a16a9b43d69e`
BLAKE2b-256	`f853e8d1094d3eaddba66bf514789ae6ae7ef4e9429c11662bf169e5b3d92f03`

Algorithm	Hash digest
SHA256	`524fefa76db49bdd8befc897756cbfab9875e4fbe192f8e8b19d4d0c36f0d99e`
MD5	`7a85234a9d9d49b11af4a3bc52d9a805`
BLAKE2b-256	`72fbc075aef3ff8781aaf7f72db88de00bf690bb0262210faa86bac013a690dc`

Algorithm	Hash digest
SHA256	`4e42a2a34b296415f9acd29d6bda4fc7ff1560342cf013c929871eef276d4ca8`
MD5	`f7aee78afc12305d212b94504882edb9`
BLAKE2b-256	`f928998c24b48b0560644b13025fcce52960b7b838d6a77cb4536645981b247b`

mocpy 0.17.0

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To run the notebooks

For use in pyodide

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Algorithm	Hash digest
SHA256	`d007e69b35de47d92f2f561530ca1cd4c918f79f6a4f3e09e6d2fe45cf696020`
MD5	`051be2689c212391be03ec2d1c78adcb`
BLAKE2b-256	`a99ba672638ea3fe8682d3393855dbb028a4a9c3340fa061082d4ef5b490ad96`

Algorithm	Hash digest
SHA256	`14192d7bbb57e0369914d2342aac57f9a6d410dbac6df111039bbb158b16979c`
MD5	`279fea818b5d3f22ecf3bd528922896a`
BLAKE2b-256	`903213020f41f56a84732756f3c66f8f556e04ca85f89ccf674e4250ded78eff`

Algorithm	Hash digest
SHA256	`e13dd37fb7fe4735a64cfe05d0c0e388ee5b03a4cb10a3a4048f9e0c8f6f6bad`
MD5	`3da90cefcbbd4042d91841d8f9132c75`
BLAKE2b-256	`ec6d3eaf6e4c3284196465e6b8ac02221977b459f90696f01a7eac2a188953fe`

Algorithm	Hash digest
SHA256	`938345584ef7e8d4b79ab90d3e6cb50afae3ddc3a9cceeabf4aa48dfce11bc71`
MD5	`2c5ea186efd430cbb7b15f25f317f0a9`
BLAKE2b-256	`f0d43b5f539090f67bb5c1084efd4a1cd232a3915956040e7eb88b0109441fc9`

Algorithm	Hash digest
SHA256	`7a645b0dd1948d6cdb50bc46a163574298acccd9b7c31601d900a38cad9de990`
MD5	`48eb70ba3ab4c7def54d0ea98559e52d`
BLAKE2b-256	`5cdc948ec4e3a17549e443869ab35c317900b500ee05bc56b39f6e59f18fbe0c`

Algorithm	Hash digest
SHA256	`9b9a1ed70b887c64ed18fbeb26b5541ab22ba3a5819abcb9c16effe16e3be213`
MD5	`70ea59bfc738feba73fa8ad65a43ef26`
BLAKE2b-256	`bcc4529780957c77d4d1fd60867b5193a0171aa867bcbdc34f0db2d02d004be8`

Algorithm	Hash digest
SHA256	`a106845ddecf05bcf5fd7c72ae7351e333143f5be366903ed7472e4b8a14fbfb`
MD5	`08797f9a5f01371bf8d275f358d1e3d3`
BLAKE2b-256	`2026122231f61f5ccfe0be26d7d146c0434827e50a40c54c95cea1c9c1e503cc`

Algorithm	Hash digest
SHA256	`3323da3ecb87e8e98332c37b3d3ee6a9cbb058ceabc19d8319967395528bca97`
MD5	`7c57b17ac6f7fcd4261bc831da57a6fe`
BLAKE2b-256	`e9b60360da32cfed037615ad5530130ac67a9f51b7fe5d91056058bf93cdf7ab`

Algorithm	Hash digest
SHA256	`4fc12bd75c793b38ebe0340b697e6200b54ae566700d94ff8b2e504c5c188280`
MD5	`1eaa1f47652c4c3661f5a86fd57fab2b`
BLAKE2b-256	`ea9d2ed6d56ecd060acfe357eda04192ecfe21d6f67bb136304faa92997c0fa9`

Algorithm	Hash digest
SHA256	`8ad40a3fc01f8de11a944350f0e33924c6dc0e864c1807333bc2b8423176468b`
MD5	`e08e01f8eea101ca1db0c22cb99ba5f6`
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