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-extras/actions/workflows/tests.yml/badge.svg https://codecov.io/gh/arcanaframework/fileformats-medimage-extras/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

0.6.1

0.6.0

0.2.2

0.2.1

0.2.0

0.1.5

0.1.4

This version

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-0.1.3.tar.gz (14.0 kB view details)

Uploaded Source

Built Distribution

fileformats_medimage_extras-0.1.3-py3-none-any.whl (18.2 kB view details)

Uploaded Python 3

File details

Details for the file fileformats_medimage_extras-0.1.3.tar.gz.

File metadata

File hashes

Hashes for fileformats_medimage_extras-0.1.3.tar.gz
Algorithm Hash digest
SHA256 e704688fe375dc7bebea13601fca16895a3a72f2ec41356e082d8b12687899dd
MD5 149e1c2c8071714f7f3ac0bd8aa4694e
BLAKE2b-256 10ab72561cbc21c3bf6878f67c222a28bbfb2cfd9c3c22e9c6b9beeafc38c5b1

See more details on using hashes here.

File details

Details for the file fileformats_medimage_extras-0.1.3-py3-none-any.whl.

File metadata

File hashes

Hashes for fileformats_medimage_extras-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 c4a3fc8c7186f2076b0917f1f47de9e8fa1a4fd6405f0b6a51e582e0add32c5d
MD5 b9d63625c965b10fd6b9d54a9fcd8252
BLAKE2b-256 9138f57b91a2c40192e2c68aba440f319464d347919a36a237d964a1e03d7024

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