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Releases: NMRPy/nmrpy

NMRPy 0.2.8

29 Sep 09:52
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We are pleased to announce NMRPy version 0.2.8!

What's new?

  • Fix plotting widget callbacks for matplotlib 3.6.0.
  • Fix parsing of Bruker D1 parameter when reading in data.
  • Detailed changelog available here.

NMRPy 0.2.7

14 Jan 15:36
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We are pleased to announce NMRPy version 0.2.7!

What's new?

  • Continuous integration using Github actions to build wheels and Anaconda packages
  • Updates and fixes to unit tests
  • Bug fixes and cleaning up of plotting code for compatibility with recent matplotlib and ipympl versions
  • Detailed changelog available here.

NMRPy 0.2.6

05 Aug 11:22
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We are pleased to announce NMRPy version 0.2.6!

What's new?

  • The main change is that the acquisition time array is now updated when deleting a Fid with FidArray.del_fid(), e.g. to remove outlier points from a metabolic time-course. This facilitates easier further analysis, processing and parameter fitting.
  • Update processing so that FidArray.t and FidArray._params['acqtime'] refer to t in the middle of the acquisition, not at the end (for easier time-course analysis). Since each Fid is acquired with multiple transients/scans, it represents an average signal. The appropriate time-point for this is in the middle of the acquisition period.
  • Various bug fixes, notably in FidArray.save_to_file().
  • Documentation updates.
  • Detailed changelog available here.

NMRPy 0.2.5

05 Mar 09:53
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We are pleased to announce NMRPy version 0.2.5!

What's new?

  • The main change is the fixing of an annoying bug that caused the freezing of the peak picking and selection widgets in an unpredictable manner in the Jupyter notebook.
  • Various bug fixes.
  • Documentation updates.
  • Detailed changelog available here.

NMRPy 0.2.4

23 Jun 11:24
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We are pleased to announce NMRPy version 0.2.4.

What's new?

  • The main change is the provision of conda binary install packages for Anaconda, in addition to pip wheels. This enables the installation of NMRPy on Anaconda without the use of pip.
  • Various bug fixes.
  • Documentation updates.
  • Detailed changelog available here