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-1.3.2.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-1.3.2-py3-none-any.whl (35.9 kB view details)

Uploaded Python 3

File details

Details for the file dnmr-1.3.2.tar.gz.

File metadata

  • Download URL: dnmr-1.3.2.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-1.3.2.tar.gz
Algorithm Hash digest
SHA256 6b6e2754b5480bd94c62fb85ab2f7954b22307f53e2a50cbc29bc3d61947da72
MD5 14fc651b013f685c00036f3cd7395ab9
BLAKE2b-256 a10ea8f0aed8fe7e74d793d0a1244a7b8d2ca0b29389101ca7c363f80b3124aa

See more details on using hashes here.

Provenance

The following attestation bundles were made for dnmr-1.3.2.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-1.3.2-py3-none-any.whl.

File metadata

  • Download URL: dnmr-1.3.2-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-1.3.2-py3-none-any.whl
Algorithm Hash digest
SHA256 42e19c2bb4534385f10f7b5512d806069beac9fff99146ae8c390c01fa826b01
MD5 3227d405bf4691bf01d2bbcf25ff99b6
BLAKE2b-256 b212350f705ab579c6d17663e236844aa966d4a7e5d8c5b600241e92b7403147

See more details on using hashes here.

Provenance

The following attestation bundles were made for dnmr-1.3.2-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