Releases: vasole/pymca
5.5.3
5.5.2
5.5.1
5.5.0
- XRF: Include full-analysis provenance in HDF5 output files.
- Improved support of HDF5
- Improved testing suite.
- ROI Imaging: Improved memory handling when reading multiple HDF5 detectors as input.
- ROI Imaging: Support PerkinElmer FSM file format
- ROI Imaging: Correct reading OMNIC files under Python 3 in non-windows
platforms. - Support PySide2
- Support Matplotlib 3.1.x
- Preliminary support of Python 3.8
- Drop silx dependency.
5.4.3
5.4.2
5.4.1
-
Support NeXus default attribute at any level
-
Fix problems in systems where both PyQt4 and PyQt5 are installed.
-
Fix ScanFit print
-
Fix mask visibility on monocrome colormaps.
-
Prevent problems accessing NeXus files when title is incorrectly written as an
array instead of being a string. -
Enable multiple processes batch fitting a single HDF5 file.
5.4.0
-
Add training exercises to the tutorials
-
Support quantification accounting for live time when using HDF5 files
-
Add higher order excitation example to the training data
-
Use silx toolkit for graphics
-
Allow the user to select a particular Qt binding (--binding option, default is PyQt5 use --binding=PyQt4 for old binding)
-
Implement a user selectable logging level (--logging option, default is warning)
-
Correct handling of repeated elements in the sample matrix
-
Correct readout of lispix data
5.3.2
This is a minor release motivated by the difficulties encountered to build PyMca under Python 3.7 due to the presence of generated, incompatible, cython code.
-
Fix build issues under Python 3.7
-
Fix numpy 1.14.x deprecation warnings
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Continue the documentation improvements
5.3.1
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PyMcaMainWindow. Correct error trying to use HDF5 files with only top level datasets.
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PyMcaBatch. Correct error when opening HDF5 files as input.
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Use QOpenGLWidget when available instead of QGLWidget. It solves a Debian packaging issue.
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Prepare web pages using sphinx to be ready for easy deployment of improved documentation (accessible from http://www.silx.org)