Ability to start the iris GUI and open a dataset

The major change in this version is the ability to guess raw dataset formats using the iris.open_raw function. This allows the possibility to start the GUI and open a dataset at the same time.

Simplified packaging and preparation for conda-forge

The package now only has dependencies that can be installed through conda

5.0.1 : UI and UX tweaks and bug fixes

This is a minor bug-fix release that also includes user interface niceties (e.g. link to online documentation) and user experience niceties (e.g. confirmation message if you forget pixel masks).

5.0.0 - major re-write

This new version includes a completely rewritten library and GUI front-end. Earlier datasets will need to be re-processed.

New features:

• Faster performance thanks to better data layout in HDF5;
• Plug-in architecture for various raw data formats;
• Faster performance thanks to npstreams package;
• Easier to extend GUI skeleton;
• Online documentation accessible from the GUI;
• Continuous integration.

The package is now available on PyPI as iris-ued:

python -m pip install iris-ued

Last 4.0 version

FIX: removed skued.pmap

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GUI overhaul and many added features

Merge pull request #7 from LaurentRDC/4.0

4 0

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Usability and field-testing

FIX: negative time-points only datasets would not be displayed

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New processing pipeline based on HDF5

Merge pull request #5 from LaurentRDC/v2.0

V 2.0

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Preparation for 'view-by-scan'

This release is also the first release with a license.

Changes

• Added a license;
• Simpler interface with HDF5 files;
• Interface to raw datasets (RawDataset object);
• Interface to scan-by-scan plotting (PowderDiffractionDiagnosticDataset);
• Removed 'export to MATLAB' option.

Polycrystalline diffraction pattern center detection via Hough transform

v1.6

Auto-detection of polycrystalline pattern centers using the Hough tra…