Classes for representing different file formats in Python classes for use in type hinting in data workflows

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for tclose from gravatar.com tclose

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache Software License (Creative Commons Attribution 4.0 International Public License By exercising the Licensed Rights (def...)
  • Author: Thomas G. Close
  • Maintainer: Thomas G. Close
  • Tags data, file formats
  • Requires: Python >=3.8
Classifiers

Project description

https://github.com/ArcanaFramework/fileformats-medimage/actions/workflows/ci-cd.yml/badge.svg https://codecov.io/gh/ArcanaFramework/fileformats-medimage/branch/main/graph/badge.svg?token=UIS0OGPST7 Supported Python versions Documentation Status

This is a extras module for the fileformats-medimage package, which provides additional functionality to format classes (i.e. aside from basic identification and validation), such as conversion tools, metadata parsers, test data generators, etc…

Prerequisites

In order to perform conversions between DICOM and neuroimaging formats such as NIfTI you will need to install the following packages

Please see their installation instructions for the best method for your system (alternatively the Test GitHub action contains an example installation for Ubuntu)

Installation

This extension can be installed for Python 3 using pip:

$ pip3 install fileformats-medimage-extras

License

This work is licensed under a Creative Commons Attribution 4.0 International License

Creative Commons Attribution 4.0 International License

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for tclose from gravatar.com tclose

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache Software License (Creative Commons Attribution 4.0 International Public License By exercising the Licensed Rights (def...)
  • Author: Thomas G. Close
  • Maintainer: Thomas G. Close
  • Tags data, file formats
  • Requires: Python >=3.8
Classifiers

Release history Release notifications | RSS feed

0.9.4

0.9.3

0.9.2

0.9.1

0.9.0

0.8.2

0.8.1

0.7.1

0.7.0

0.6.7

0.6.6

0.6.5

0.6.4

0.6.3

0.6.2

This version

0.6.1

0.6.0

0.2.2

0.2.1

0.2.0

0.1.5

0.1.4

0.1.3

0.1.2

0.1.1

0.1.0

Download files

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

Source Distribution

fileformats_medimage_extras-0.6.1.tar.gz (12.2 kB view details)

Uploaded Source

Built Distribution

fileformats_medimage_extras-0.6.1-py3-none-any.whl (18.6 kB view details)

Uploaded Python 3

File details

Details for the file fileformats_medimage_extras-0.6.1.tar.gz.

File metadata

File hashes

Hashes for fileformats_medimage_extras-0.6.1.tar.gz
Algorithm Hash digest
SHA256 00f68fa2456f85b559b8cbab4de6844c2d68e8fd1bba333db3f05371681485b2
MD5 b5a70055cc064c2307ef4ad25b797131
BLAKE2b-256 1f56bd4eeb960df707bd2d5dd5ac653f84f934b8c7492c47f6ce9b4deee3c858

See more details on using hashes here.

File details

Details for the file fileformats_medimage_extras-0.6.1-py3-none-any.whl.

File metadata

File hashes

Hashes for fileformats_medimage_extras-0.6.1-py3-none-any.whl
Algorithm Hash digest
SHA256 137e80595caa009451147b83e56e9b343be1262795baef914a81203299240394
MD5 1c9d0df7f9ba419d0c8770dcd1d98901
BLAKE2b-256 f7b9393ce403661f763a244bef115c994ce82de04ed3c0e2351ec97744a299ae

See more details on using hashes here.

Supported by

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