Skip to main content

Pure python module for reading and writing NRRD files.

Project description

Build Status DOI Python version PyPi version Documentation Status https://codecov.io/gh/mhe/pynrrd/branch/master/graph/badge.svg

pynrrd

pynrrd is a pure-Python module for reading and writing NRRD files into and from numpy arrays.

Requirements

  • numpy

  • typing_extensions

v1.0+ requires Python 3.7 or above. If you have an older Python version, please install a v0.x release instead.

Installation

Install via pip and GitHub

pip install git+https://github.com/mhe/pynrrd.git

Example usage

import numpy as np
import nrrd

# Some sample numpy data
data = np.zeros((5,4,3,2))
filename = 'testdata.nrrd'

# Write to a NRRD file
nrrd.write(filename, data)

# Read the data back from file
readdata, header = nrrd.read(filename)
print(readdata.shape)
print(header)

Next Steps

For more information, see the documentation.

License

See the LICENSE for more information.

Project details


Download files

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

Source Distribution

pynrrd-1.1.1.tar.gz (21.6 kB view details)

Uploaded Source

Built Distribution

pynrrd-1.1.1-py3-none-any.whl (23.5 kB view details)

Uploaded Python 3

File details

Details for the file pynrrd-1.1.1.tar.gz.

File metadata

  • Download URL: pynrrd-1.1.1.tar.gz
  • Upload date:
  • Size: 21.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for pynrrd-1.1.1.tar.gz
Algorithm Hash digest
SHA256 dafd98d778263b1c90eac1d42779886153daa97a4577dea9590f74dab18b4ca2
MD5 d67e3682c703397e34056bfd9e883db8
BLAKE2b-256 5b20b4e76ebc1fe2e0652f1cce8f3fa2e8887c0d57c55229ea93ebf555ae5108

See more details on using hashes here.

File details

Details for the file pynrrd-1.1.1-py3-none-any.whl.

File metadata

  • Download URL: pynrrd-1.1.1-py3-none-any.whl
  • Upload date:
  • Size: 23.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for pynrrd-1.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 e65ae7ac53583ad5d71a03845c9247ff2238415b91980f1fd9486d4ec3d62c43
MD5 c501be80f65c44f48d76979d14ea4006
BLAKE2b-256 7bfe532e4899c5a19d51e4aae7fe2e8689380a27b8fb3b53560541f84c283445

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