Skip to main content

A package to analyse the data generated by the frappy/NICOS interface, with the TNMR setup at Paul Scherrer Institut, Villigen, Switzerland

Project description

DNMR

The Data Analysis, Visualisation, and Interpretation Software for Nuclear Magnetic Resonance (DAVISNMR, or more simply DNMR) is a piece of software including a GUI to read and analyse files generated by the frappy-Tecmag NMR interface described here.

Features

  • Quick comparison of completely separate datasets (parallel viewing and handling)
  • Equally quick loading and combination of separate-but-related datasets for analysis (live concatenation of datasets)
  • Auto or manual data re-phasing, both for individual data points or in bulk
  • View time-domain and frequency-domain data
  • Apply easily-customisable filters to time-domain data
  • Common NMR analysis workflows including T1 fitting, field scans, and inverse Laplace transforms (ILTs)
  • Export processed data into an easy-to-handle CSV format
  • Easily extensible framework for custom analyses
  • Limited support for .TNT files natively generated by Tecmag's TNMR program

Installation

This software is available on Pip:

python -m pip install DNMR

Running

Simply load the software as a module. For example:

python -m DNMR

Any additional arguments will be loaded as datafiles into the zero-th channel. I.e., if you wanted to load "test_file_0p25K.hdf" and "test_file_1K.hdf" together, you'd run:

python -m DNMR test_file_0p25K.hdf test_file_1K.hdf

(one could also just use the buttons and dialogs in the GUI)

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

dnmr-1.3.3.tar.gz (30.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

dnmr-1.3.3-py3-none-any.whl (35.9 kB view details)

Uploaded Python 3

File details

Details for the file dnmr-1.3.3.tar.gz.

File metadata

  • Download URL: dnmr-1.3.3.tar.gz
  • Upload date:
  • Size: 30.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for dnmr-1.3.3.tar.gz
Algorithm Hash digest
SHA256 320d0d091fc89c9802a9cf60fa8093daa2415f7d39cd54b87e8ec09f368f95fb
MD5 568c55bc8318ddf28ac0cfc0f445d9e4
BLAKE2b-256 d68807068e6dd4bf541fdeb3be8592e7128f9b6949e6c1b41468efc663c4cec5

See more details on using hashes here.

Provenance

The following attestation bundles were made for dnmr-1.3.3.tar.gz:

Publisher: python-publish.yml on Davis-Garrad/DNMR

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file dnmr-1.3.3-py3-none-any.whl.

File metadata

  • Download URL: dnmr-1.3.3-py3-none-any.whl
  • Upload date:
  • Size: 35.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for dnmr-1.3.3-py3-none-any.whl
Algorithm Hash digest
SHA256 3b0c5d03f59fdd73a7bdfe1deb8d45a1e81e2424d9bf95649ab78be30ac241d5
MD5 f38a4ab3e03d11f2116f12b36d3d6e4a
BLAKE2b-256 bcc433c88d7f9fcd5d8900efc8f90a61690bc9ca22082c8794f304b36277bc45

See more details on using hashes here.

Provenance

The following attestation bundles were made for dnmr-1.3.3-py3-none-any.whl:

Publisher: python-publish.yml on Davis-Garrad/DNMR

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

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