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

This version

0.7.1

0.7.0

0.6.7

0.6.6

0.6.5

0.6.4

0.6.3

0.6.2

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-0.7.1.tar.gz (12.1 kB view details)

Uploaded Source

Built Distribution

fileformats_medimage_extras-0.7.1-py3-none-any.whl (18.5 kB view details)

Uploaded Python 3

File details

Details for the file fileformats_medimage_extras-0.7.1.tar.gz.

File metadata

File hashes

Hashes for fileformats_medimage_extras-0.7.1.tar.gz
Algorithm Hash digest
SHA256 e1e8fb0a9621b1dcd815623664bc2669d3d2347a063de0f9998eff2effa4195f
MD5 be387af315c7c0dbce6b5a6e0d7eaeeb
BLAKE2b-256 d13425f8926f4a677f6c619215fd9b2e6bb1931bc5c190229c0877cf647d3aa7

See more details on using hashes here.

File details

Details for the file fileformats_medimage_extras-0.7.1-py3-none-any.whl.

File metadata

File hashes

Hashes for fileformats_medimage_extras-0.7.1-py3-none-any.whl
Algorithm Hash digest
SHA256 bd3e43553731d5a91f4d2d528de296d00985dbb04534f12162c32dcdf6c374a7
MD5 ac547793a8dcd346215ec8525fc5de3a
BLAKE2b-256 345663cf3a7e88921b4f612f310b0e058e09098eda991509c1ebd2efdad8d3d6

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