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

This version

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-0.2.0.tar.gz (13.7 kB view details)

Uploaded Source

Built Distribution

fileformats_medimage_extras-0.2.0-py3-none-any.whl (17.6 kB view details)

Uploaded Python 3

File details

Details for the file fileformats_medimage_extras-0.2.0.tar.gz.

File metadata

File hashes

Hashes for fileformats_medimage_extras-0.2.0.tar.gz
Algorithm Hash digest
SHA256 c1980a3b5d871e845c81d61105c65889c7e1ead45760b3707cd5db5a527a86c1
MD5 e7ece0a35e09ec48881ddd7b4f53024c
BLAKE2b-256 b67843a4a97fea1ec7753645f0d243646f3e729e02c01142730808ccbcd50229

See more details on using hashes here.

File details

Details for the file fileformats_medimage_extras-0.2.0-py3-none-any.whl.

File metadata

File hashes

Hashes for fileformats_medimage_extras-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 b906c96317e681bd9a55461b75df6e3855ed59b5f1f44e06cd94a8e3686c2b32
MD5 70d99cfc593c90fc7468c3172940bca4
BLAKE2b-256 6eda4e320c1312de974788632c78f6ca568083631fb90b21f9c35660c782863d

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